At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Role

This is an exciting opportunity to join a new team and build a dedicated Design System from the ground up. We are seeking a highly skilled Mobile UI Engineer to build and drive the foundational Design System for Netflix's Commerce business domain. This role operates across both iOS and Android platforms, with a primary focus on iOS.

The role will be centered on:

• Component Development: Designing, developing, and maintaining high-quality, production-ready, accessible, and performant UI components. This work is primarily focused on building native iOS design system components using Swift and SwiftUI/UIKit.
• Technology Stack: The role requires deep expertise in Swift and iOS UI architecture and frameworks (SwiftUI, UIKit). A strong aptitude and interest in Kotlin and Android UI development (Jetpack Compose) are meaningful differentiators — we believe strong engineering transcends stacks, and building a Design System on the Android architecture is a unique and exciting aspect of this role.
• AI First Development:Develop AI-driven tools that benefit both our own development workflow and the efficiency of those who use our design system.
• Platform Scope: Our components must maintain a consistent experience across both iOS and Android. This role will be primarily responsible for iOS platform delivery while contributing to a shared cross-platform design language and component strategy.
• Strategy & Roadmaps: Work closely with System Designers and Product Design leadership to define, set, and implement the technical roadmap for the Commerce Design System across mobile platforms.
• Collaboration:The engineer will partner with Commerce experience designers and Core Design System engineers to integrate core components, design tokens, and APIs — and with product teams to drive the successful adoption of components into various product spaces.
• Adoption & Enablement:Collaborate with product engineering teams to drive successful adoption of Design System components into their respective product spaces.

The Team

You will join a new, high-impact team dedicated specifically to building reusable components for the Commerce domain. The Commerce Domain owns a large and mission-critical surface area of the Netflix product, encompassing the user's entire journey from initial engagement to ongoing membership. This includes vital touchpoints such as user acquisition, login and authentication, account and identity management, the home page and landing pages, payment processing, and partner flows. Your work provides the foundational building blocks for product engineers who build these products every day.

This team operates at the intersection of design and engineering, focused on creating scalable, high-quality, and accessible user interfaces that drive the business. You will work side-by-side with System Designers, Product Design, and cross-functional product engineering teams. Your work will directly influence the development efficiency, visual quality, and usability of features that millions of Netflix users interact with globally.

The engineers you will be working with on the team are not only exceptionally talented but also deeply supportive and collaborative. We believe in providing the best environment for success, and a core part of our mission is to enable other product engineering teams to succeed by providing them with a robust design system.

What's Different About Us

Scale, Impact

• Hundreds of Engineers: You'll be part of a team that improves UI development velocity for over 100 engineers.
• Millions of Users:Creates best-in-class UIs used by over 300M subscribers and billions of visitors.
• Hundreds of Devices:Across a wide spectrum of iOS and Android devices.
• Globally: In almost every country in the world.

Unique Technical Challenges

We build design system solutions that are flexible enough to support a wide range of use cases across diverse client and server environments, while remaining ergonomic and easy to use for the engineers we support.

Collaboration and Communication

It's not all about the tech. We highly value the skills required to build strong relationships and collaborate effectively.

Freedom, Responsibility, Ownership

We believe in providing engineers with the business context they need, and then giving them the freedom and responsibility to define project scope, define/debate architecture, determine trade-offs, and figure out the implementation details.

Our Culture

Lastly, but most importantly, we live by our values.

What Sets You Apart

• Design Systems Expertise: Prior experience building and maintaining high-quality, scalable Design Systems for mobile platforms.
• iOS Depth:Deep expertise in Swift, SwiftUI, and UIKit, including iOS UI architecture patterns and performance considerations.
• Cross-Platform Curiosity:Genuine interest in Kotlin and Android development (Jetpack Compose) — the ability to reason across both platforms is a meaningful differentiator.
• AI Native Mindset:Champion an AI-first development mindset, actively pushing the boundaries of AI's potential in our products and workflows.
• Production Readiness:Deep understanding and experience with the full software development lifecycle, including building, testing, releasing, and supporting your code in a production environment.
• Server Driven UI: Experience building mobile UIs in a Server Driven UI architecture, including working with GraphQL as a shared data access technology.

People who do well on the team are self-starters with a proactive approach to problem-solving, a drive to own projects end-to-end, and a passion for driving technology innovation rooted in business and customer needs. But more importantly, we look for engineers who understand that there are rarely any absolutes when it comes to technology. The ability to engage in meaningful discussions with colleagues about use cases, prioritization, and technical challenges, while thoughtfully weighing trade-offs across multiple solutions, is a skill we value highly.

If this resonates with you, we'd love to talk!

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*About the role*

In this role, you will support our live streaming events by focusing on cloud traffic(API Gateway, IPC between microservices). You will prepare and execute various load tests to ensure both individual critical applications and overall cloud infrastructure can handle sudden increases in API traffic, especially at the start of events. You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale. You will impact multiple areas of the live event lifecycle, from the planning phase through testing and event launch days.

*Responsibilities*

• Drive continual improvement in observability, monitoring, and scalability with the primary goal to solve the thundering herd problem with cloud traffic (API gateway, IPC between microservices) for live streaming.
• Implement, automate, execute, and analyze the results from a broad range of live streaming delivery focused functional, performance, resilience, and fault injection testing.
• Write and review code, develop documentation, and debug complex problems between systems and components.
• Coordination, collaboration, and partnership across multiple stakeholders for the smooth execution of live-streaming events
• Participate in an on-call rotation and be able to work with flexible hours based on the live events schedule

*Qualifications*

• 5+ years service reliability/operational experience running large scale, high performance systems & internet services with focus on traffic at scale.
• Knowledge of and proven experience with L4 Load Balancer,  HTTP cache, and reverse proxy technologies.
• Expert-level knowledge of Unix or Linux systems and TCP/IP network fundamentals.
• Proficient understanding of networking principles, transport, and application protocols, especially DNS, TLS, and HTTP(s) etc.
• Proficient in a programming language such as Go, Python, Rust etc.
• Experience with using real time and BigData analytics processing technologies (Kafka, time series database and Presto/Trino, Spark SQL etc)
• Ability to work in a highly collaborative environment and to communicate effectively with internal and external partners
• Preferred - B.S. in Computer Science, Electrical or Computer Engineering (or equivalent professional experience)

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative at Netflix Games is dedicated to pioneering the next generation of interactive entertainment. We have the ambition to transform how players interact with stories, characters, and worlds by empowering gameplay experience with AI. We work at the intersection of creative game design and cutting-edge machine learning, ensuring that dynamic storytelling is not only novel but also coherent, immersive, and safe for our players.

We are seeking an experienced L5 ML Scientist specialized in forecasting and audience research. 

In this role, you will:

• Build Foundational ML Building Blocks: Develop sophisticated embeddings and models that incorporate deep game-specific signals to solve high-impact business problems, including audience insights, opportunity sizing, and forecasting.
• Accelerate Product Development: Build the tools, models, and pipelines required to accelerate DSE workflows across games portfolio, studios, product, and platform.
• Bridge the Netflix Ecosystem: Act as a key liaison with the broader Netflix DSE and AI teams to adopt, adapt, and tailor global Netflix capabilities for the unique requirements of the gaming space.
• Design Scalable Pipelines: Create end-to-end ML pipelines that accelerate and enable DSE members across games to uncover actionable insights and build data-intensive game features.
• Elevate ML Practices: Establish the technical standards for how ML capabilities are applied across game domains.

Who Will Succeed in This Role:

• Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
• 5+ years of experience leading complex, end-to-end ML projects that impact end-customer experiences.
• 3+ years of experience navigating large-scale technical organizations to align roadmap priorities and share infrastructure
• You can digest the latest research paper in the morning and ship a functional prototype or foundational model by the afternoon.
• You can bridge the gap between technical ML architecture and business objectives, translating product needs into rigorous technical specifications.
• You thrive in zero-to-one environments, enjoying the freedom to choose your stack and define the engineering standards for a new domain.
• You have a foundational understanding of causal inference principles, allowing you to discern when a predictive model is sufficient vs. when a causal approach is required.
• You have a passion for developing reusable ML capabilities to unlock and accelerate development work broadly.

Nice to Have:

• Experience working with game development teams, particularly in game design and engineering.
• Experience with building production-grade ML systems, including MLOps best practices.
• Have strong engineering skills, particularly in designing and optimizing evaluation frameworks (e.g., Python, PyTorch, LangChain).

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is . This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Commerce Insights and Data Products Engineering team is responsible for data critical to optimizing our product experiences across various product canvases for both current and future Netflix members.  Our work empowers product managers and business leaders to rapidly experiment and innovate on product experiences that drive towards our goal to “Entertain the world”.

In this role, you will partner closely with data scientists and other engineers to build low-latency data products capable of powering algorithms and machine learning models that run across our commerce, identity flows, and more. This role is ideal for an individual with an analytically bent mind coupled with a robust engineering background who can develop highly available and reliable distributed data systems and services to ensure the timely delivery of high-quality data for use in the Netflix product.

About you:

• You are proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.
• You have a product mindset and are curious to understand the business's needs. You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs.
• You possess strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high-quality data products.
• You have experience building applications that use large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions.
• You understand how ML systems consume data—features, inference inputs, labels, and reward signals—and you use that knowledge to design low-latency, reliable data products that directly support personalized experiences
• You are passionate about making data available for self-service and wider integration.
• You can craft scalable systems and solutions to realize a range of product and engineering goals.
• You have a strong operational awarenessand design multi-tenant systems that can handle high-scale and high-throughput demands while being easy to operate, monitor, scale, and maintain 24x7.
• You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.
• You own what you build, beyond just your code and have a passion for quality.
• You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks.
• You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Netflix is the world's leading streaming entertainment service with 300+ million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. At Netflix, we want to entertain the world and are constantly innovating on how entertainment is imagined, created and delivered to a global audience. We currently stream content in more than 30 languages in 190 countries, topping over 300 million paid subscribers and are expanding into new forms of entertainment such as gaming. Engineering teams within Netflix work hard every day to scale and innovate this content production and membership experience in an ever growing complex software landscape.  

The Cloud Network Engineering team’s goal is to create network architectures that can readily evolve with the needs of our product services and initiatives.  Netflix is entering an exciting period as we evolve from a large-scale homogenous environment supporting streaming video on demand to a more heterogeneous one supporting these new businesses. We achieve this goal by developing tools and services that improve network availability, scale, performance and security. Our goals are to scale streaming services and support our expanded business use-cases of Gaming, Advertising and Sudio. We deliver on these goals via our mission to evolve, manage, optimize, and scale the network on Netflix’s compute infrastructure. 

Must have Skills & Experience:

• Experience developing solutions using cloud-native technologies and frameworks, with a strong focus on scalability and resilience.
• Expertise in cloud networking, particularly within AWS, including VPC design, subnetting, security groups, and routing, is highly desirable.
• Experience with Go, Java, Python, or similar object-oriented programming languages and a demonstrated ability to write clean, maintainable, and efficient code.
• Solid understanding of networking fundamentals across layers L2 to L7. This includes knowledge of network protocols and troubleshooting in production environments.
• A deep commitment to continuous learning, coupled with a pragmatic approach to thinking and the ability to navigate ambiguous areas and break down complex problems.
• A passion for technology combined with the ability to navigate ambiguous areas, breaking down complex problems into actionable solutions.

Nice to have skills:

• Experience with container and orchestration technologies such as Docker and Kubernetes.
• Experience building and operating microservices within a highly reliable and distributed systems environment. Demonstrated ability to ensure service resilience and scalability.
• Familiarity with Temporal or similar workflow orchestration tools for managing complex application workflows and ensuring fault-tolerant service execution.

What you’ll be doing in this role:

• Balancing bias to action with the ability to make well-informed bets.
• Engaging directly with end engineering users to understand their needs and improve their experience.
• Understanding and solving business needs at scale with high-quality solutions.
• Leaning into proactiveness and effective communication in pursuit of cross-functional alignment.
• Writing and maintaining code to solve complex network problems, automate network configuration, and streamline management processes, enhancing the overall efficiency and reliability of our network infrastructure.
• Contributing to the design and architecture of network components, including VPCs, load balancers, network gateways, and IPv6 configurations, ensuring they meet the evolving needs of the platform.
• Engaging directly with end engineering users to understand their needs and continuously improve their experience with our network solutions.
• Understanding and addressing business needs at scale, delivering high-quality solutions that align with our organizational goals and strategy.

You will be successful in the role if:

• You thrive in ambiguity; complex and fuzzy requirements are more common than clearly defined customer expectations.
• You take incremental steps toward solving big problems; test and learn approaches work better than heads down development.
• You are independent and self driven; progress is often self-directed by teams & individuals;
• You’ve read about Netflix’s culture and think you would thrive here.

Here are a few recent talks and posts from members of the team to highlight the work we do:

• How Netflix is able to enrich VPC Flow logs
• How Netflix is using IPv6 to enable hyperscale networking
• NATless IPv6/IPv4 Address Translation

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Member Applied Research Data Science and Engineering team drives foundational research to advance the measurement and understanding of member value. We guide optimal product decision-making while balancing trade-offs, and connect on-the-ground needs from individual teams to holistic priorities and methods shared across the Netflix ecosystem.

We are seeking a Senior Data Scientist with strong experience in observational causal inference, experimentation, and meta-analysis to drive research for Netflix’s core product metrics.  In this role, you will push forward foundational research to value member engagement signals, calibrate product tradeoffs, and ensure that our measurement strategies keep up with a quickly expanding content portfolio.  You’ll work in a highly collaborative and cross-domain environment with other data scientists, research scientists, and business teams to influence and improve our product decision-making.

In this role, you will:

• Directly lead the research and development of our core member metrics and decision frameworks, particularly as our member base and content offerings expand.
• Establish strong relationships with product, engineering, and data science partners to facilitate decision making under complex tradeoffs.
• Connect and incubate new research advancements, alongside ML and research science partners across domains, to uplevel proxy metric solutions that balance performance with interpretability.
• Advance our meta-analysis capabilities and collaborate on causal inference tooling.

To be successful in this role, you have:

• Advanced degree in Statistics, Economics, Computer Science or related quantitative field.
• 5+ years of relevant experience, focused on building and delivering real-world causal and/or machine learning models with demonstrated impact.
• Strong statistical knowledge and intuition across a range of methods, ideally focused on  experimentation or other product analytics settings.
• Strong quantitative programming skills (Python preferred), including experience with production systems.
• Exceptional oral and written communication skills, with the ability to move between technical writing and high-level summaries.
• Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.
• Strong product sense to balance between addressing specific stakeholder  needs and investing in scalable solutions to serve general use cases.
• Ability to work independently and drive your own projects.
• Embody Netflix values while bringing a new perspective to continue to improve our culture.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

At Netflix, every decision a member makes — what to watch, what to try next, what to skip — is shaped by the assets we surface: artwork, trailers, synopses, and metadata. These aren't decorations. They're the evidence we use to connect members with content they'll love. The Evidence Engineering team builds and operates the systems that power this experience at scale, delivering personalized assets to hundreds of millions of members across every device, every surface, and every product initiative — from Live and Games to Ads and core recommendations.

We are looking for a Staff-level (L6) Software Engineer to take on a technical leadership role within our Evidence organization. This is a backend-focused, high-impact role at the intersection of large-scale distributed systems and real-time personalization.

Why it matters:

Evidence engineering sits at a critical junction: we determine which artwork, trailer, or synopsis a member sees — and we do this for every page load, every recommendation, and every content surface across the product. Getting this right requires low-latency, high-throughput asset delivery systems that scale to Netflix's global member base while supporting rapid iteration across product teams.

This role requires deep expertise in building and evolving horizontal platforms that serve multiple engineering teams and launching direct customer impacting features. A key focus will be on balancing system reliability and performance with the flexibility needed to support diverse product use cases — from high-traffic browse experiences to real-time Live events. You'll also work at the boundary between asset delivery infrastructure and the upstream ML and the devices that render the experience, which requires both technical depth and strong cross-functional judgment.

What you will do:

• Lead the technical vision for core Evidence capabilities, setting the technical direction and driving longer-term strategy for asset delivery, personalization infrastructure, and merchandising capabilities. Ensuring low latency, high availability, and cost-efficient operation across all device platforms.
• Partner closely with operations, ML scientists, and merchandising teams to design and build state-of-the-art self-service tools that enable teams to experiment with and launch the best experiences at scale.
• Collaborate with Personalization, Content Engineering, Product, and Platform Infrastructure to deliver well-integrated solutions that meet the needs of multiple internal consumers.
• Identify and address gaps in reliability, observability, and scalability before they become incidents — and raise the operational bar for the broader team.
• Navigate open-ended technical problems with limited precedent, bringing structure and clarity to ambiguous situations and building alignment across diverse stakeholders.
• Mentor and raise the technical bar for engineers on the team through code reviews, design discussions, and direct collaboration.

What we are looking for:

The ideal candidate is a Staff-level (L6) Software Engineer who demonstrates broad technical impact and the ability to drive complex, open-ended initiatives independently.

You have:

• Extensive experience building and operating large-scale, low-latency distributed systems, ideally on horizontal platforms that serve multiple engineering teams simultaneously.
• Deep knowledge of real-time asset delivery or content serving systems, with a track record of improving both performance and cost efficiency at scale.
• Strong judgment in system design — you can identify the right trade-offs between consistency, availability, and latency, and communicate those decisions clearly to technical and non-technical stakeholders.
• Experience working at the boundary between backend infrastructure and ML or personalization systems, with an understanding of how data pipelines and model outputs translate into product experiences.
• A proven ability to set technical direction, drive multi-quarter roadmaps, and deliver high-impact projects across organizational boundaries.
• Strong communication and collaboration skills — you build trust with partners across engineering, product, and design, and can influence direction without formal authority.
• The ability to operate with high autonomy in ambiguous environments and deliver results independently.
• Working knowledge of GenAI techniques applied to engineering workflows is a strong plus — we're actively looking for engineers who use these tools to raise the team's overall productivity and technical velocity.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $499,000.00 - $900,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.

Our Team:

The Core Ads Algorithms team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers—all while maintaining the exceptional quality and personalization that define the Netflix experience.

As a Senior Analytics Engineer, you’ll design metrics, generate insights by scoping and executing deep dive analysis, and provide recommendations from a rigorous evaluation of product experiments. You’ll work closely with partner teams to build workflows, provide recommendations and drive success on end-to-end analytics initiatives in this 0 -1 space. This is an exciting opportunity to be an early member of this new business area for Netflix!

Responsibilities

• Partner with Data Engineers to design and implement robust data models and pipelines that enable richer, faster, and more accurate analysis.
• Design, build, and maintain scalable, self-service analytics tools and data products to drive adoption across the business.
• Develop, define, and maintain key metrics and dashboards for executive and business-critical reporting.
• Analyze and interpret data to understand and improve the efficiency of the ads marketplace, providing recommendations to optimize ad delivery, performance, and revenue.
• Develop and maintain observability and monitoring solutions for machine learning models, ensuring model performance, reliability, and early detection of anomalies or drift.
• Enable A/B testing and experimentation by building robust data pipelines and providing accurate experiment tracking.
• Proactively identify gaps and opportunities for innovation in analytics engineering, and drive initiatives to address them.
• Experiment with and evaluate new technologies, including Generative AI solutions, to improve analytics, reporting, and data accessibility.
• Translate complex data insights and technical concepts into clear, actionable recommendations for technical and non-technical stakeholders.

Qualifications

• A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 5+ years of experience in data engineering, data science, analytics engineering, or a similar data field.
• Proficiency in SQL and at least one programming language (Python preferred).
• Experience with modern data warehousing (e.g., Redshift, BigQuery, Snowflake).
• Familiarity with data modeling, ETL frameworks, and analytics tools.
• Strong communication skills and ability to translate business needs into technical requirements.
• Comfortable with ambiguity; able to thrive with minimal oversight and process
• Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We’re seeking a highly-skilled Senior Tools & Build Engineer to join an in-house development team building an innovative Unreal Engine title. In this role, you will own and evolve our core tools and build ecosystem—with a particular focus on Tools and Unreal editor extensions — as well as our Horde, Unreal Game Sync (UGS), and Cloud DDC infrastructure.

You will take end-to-end ownership of designing, implementing, and maintaining tools and pipelines that power how our developers build, sync, cook, and ship the game. 

*THE TEAM*

We’re a small, scrappy team with big ambitions and an obsession to deliver memorable, innovative gameplay combined with beloved IPs, served seamlessly within the Netflix streaming ecosystem. We’re looking for new teammates who care deeply about the experiences they create and the people they make them with, who are biased towards action, and are energized by the learning that comes with bold experimentation at an agile pace. As part of Netflix, we strive to hire the best and value integrity, excellence, respect, inclusion, and collaboration.

*RESPONSIBILITIES*

• Build & CI/CD Owner:
  Configure, maintain, and scale our Horde build farm and CI/CD pipelines for Unreal (editor, client, server, tools). Ensure fast, reliable, and reproducible builds across platforms. Integrate automated tests and validation steps to catch issues early and keep the mainline healthy.
• UGS & Workflow Champion:
  Administer and evolve Unreal Game Sync (UGS)—streams, project definitions, and build configs—while surfacing UGS information clearly inside your C# tools and editor UIs. Improve developer workflows with preflight checks, changelist health indicators, and frictionless sync/build flows.
• Cloud DDC Steward:
  Maintain Cloud DDC infrastructure. Optimize configuration, caching policies, and monitoring to minimize cook/compile times and maximize iteration speed. Build dashboards and diagnostics that make DDC behavior visible and understandable to the team.
• Tools Architect & Implementer:
  Design, build, and maintain Standalone Tools and Unreal editor extensions (Slate/UMG) that streamline everyday workflows

*THE IDEAL CANDIDATE*

• Has 5+ years of progressively complex, related experience as a Tools Engineer, Build Engineer, or similar role in the games industry, ideally on Unreal projects.

• Demonstrates deep expertise in Unreal Engine (UE4/UE5), particularly:

• Unreal build and cook pipeline (UBT/UAT, cooking, packaging, deployment).

• Editor extensibility with Slate and UMG (custom panels, tools, workflows).
• Integrating editor/engine features with external tools and services.

• Has strong C# development experience, including:

• Building and maintaining desktop tools (e.g., WPF).

• Designing intuitive, performant UIs for technical workflows.
• Architecting maintainable, testable tools that can evolve with project needs.

• Has hands-on production experience setting up and maintaining:

• Horde build infrastructure (agents, queues, orchestration, scaling).

• Unreal Game Sync (UGS) (streams, project definitions, build integration).

• Cloud DDC (configuration, deployment, tuning, monitoring).

• Is comfortable with Perforce at scale: depot layout, streams, branching strategies, workspace management, and basic server-side administration.

• Has solid scripting/programming skills beyond C# (e.g., Python, PowerShell, Bash), especially for automation and pipeline glue.
• Understands CI/CD practices and has experience with systems like Jenkins, TeamCity, GitHub Actions, or Azure DevOps for Unreal-based projects.
• Thrives as part of a cross-functional multidisciplinary team, communicating clearly with both technical and non-technical partners.
• Works effectively remote or on-site, managing time and priorities across shared projects.

*REQUIRED APPLICATION MATERIALS*

• Resume

*LOCATION*

• Los Angeles preferred
• Will consider remote applicants who are willing to travel for work-related events and work a PST-oriented dev team schedule.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $280,000.00 - $400,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are looking for a Senior ML Engineer to bridge the gap between cutting-edge AI research and shipped game features. You will be a core technical contributor, responsible for implementing GenAI models into our production pipelines and game engines. You won’t just be prompted with ideas; you’ll be building the infrastructure and logic that brings those ideas to players.

Key Responsibilities

• Implementation & Integration: Lead the technical integration of GenAI tools and techniques into existing game engines (Unity/Unreal/Proprietary) and development workflows.
• Feature Prototyping: Work directly with designers to build functional, AI-native gameplay mechanics—such as dynamic narrative systems, procedural asset generation, or intelligent NPC behaviors.
• Optimization & Inference: Own the performance side of GenAI. You will optimize model latency and memory footprints to ensure AI features don't compromise game frame rates.
• Pipeline Automation: Develop and maintain "AI superpower" tools for internal teams, such as automated texture generation, level design assistants, or code-completion agents.
• Technical Mentorship: Provide guidance to mid-level and junior engineers on ML best practices, data privacy, and the ethical implementation of AI in creative spaces.
• Bridge Research & Production: Translate complex AI research papers and open-source models into stable, production-ready code that aligns with our player experience goals.

Qualifications

• Game Development Background: 5+ years of experience in the games industry. You have a solid grasp of game loops, memory management, and what it takes to get a feature through a "Live Ops" cycle.
• Practical GenAI/ML Experience: 3+ years of hands-on experience with Machine Learning/GenAI tools/techniques in a product-driven environment.
• Software Engineering Excellence: Strong proficiency in languages like C++ and C#, with the ability to write clean, maintainable code within a large, complex codebase.
• Infrastructure Familiarity: Experience with model fine-tuning, and managing the end-to-end ML lifecycle (data prep to deployment).
• Problem Solver: You thrive in the "grey area" of emerging tech and can pivot quickly when a specific model or approach doesn't meet the needs of the game design.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are looking for a Senior Data Scientist to join our Games DSE team, leading experimentation, statistical modeling, and advanced data science needs. This role will be partnering closely with our Game studio stakeholders to drive data informed decisions by running experiments, building predictive models, conducting statistical analysis and deriving business insights. As a member of this team, you will also play a critical role in presenting insights that shape our decision making and ensure decisions are sound from a statistical perspective.

What You Will Do:

• Partner with our Games Studio stakeholders (e.g., Games Development, Production, Product Management, Tech Lab, Finance and Strategy teams) on advanced data science and modeling initiatives (e.g., prediction modeling, causal inference, experimentation etc).
• Lead the design, analysis, and interpretation of experiments that shape decision-making in game verticals and titles.
• Advance the audience understanding and product-market-fit for game verticals and titles with data science research.
• Proactively perform data exploration to discover innovation and testing opportunities.
• Drive and implement high impact projects end to end.
• Present your research and insights to key stakeholders.
• Work with business stakeholders to connect analysis to key decisions that affect the business to influence and drive impact to the business.
• Balance handling ad hoc requests while also driving larger projects forward.

Who You Are:

• You have at least 2 years of experience working in the Games industry as a Data Scientist.
• At least 5 years of experience with a Ph.D. degree in Statistics, Econometrics, Mathematics, Engineering or a relevant quantitative field or 8+ years of experience with a Master degree in those fields.
• You have outstanding statistical skills utilized in A/B testing, analyzing observational data, and statistical modeling.
• You are comfortable working with large data sets and analyzing complex data with SQL and other tools such as Python.
• You have excellent business acumen on product innovations and excellent problem solving skills to translate business requirements to data science problems.
• You have a strong bias to action, delivering results quickly with iteration instead of waiting for perfection.
• You are a fast learner and are comfortable with ambiguous requests.
• You have exceptional technical and non-technical communication skills and can manage stakeholder priorities directly.
• Willing to mentor junior data scientists on the team to accelerate team growth.
• You are proactively learning and adopting AI capabilities to supercharge your workflow.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Production Science team, within Data Science and Engineering, is responsible for developing and deploying analytics and machine learning tools and models that inform, support, and automate decision-making in the Netflix Studio. We collaborate closely with business and product partners in Content Finance,  Strategy, and Production Operations teams to identify high-impact opportunities for data to enhance processes like production planning, scheduling, and budget creation.

We are looking for an experienced ML Scientist to join the team.

Responsibilities

• Own and innovate on our highly impactful Cash Forecasting capabilities to enable increasingly sophisticated and accurate insights about our production spend.
• Have end-to-end ownership of ML model development lifecycle, from feature engineering, to model training, evaluation, deployment and continuous monitoring and improvement.
• Closely work with Business and Product stakeholders to develop a roadmap that meets the needs of changing business priorities.
• Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions.
• Collaborate closely with ML Scientists and Analytics Engineers on the team to develop shared capabilities and best practices around developing and deploying data-driven applications for our Studio partners.
• Embrace and enact Netflix values in daily work and interactions.

About You

• You have 5+ years of experience developing and deploying Machine Learning models with a successful track record of and passion for delivering business or research impact.
• You hold an advanced degree (MS or PhD) in  Computer Science, Statistics, Computational Social Science, Electrical Engineering or a related technical field with a focus on machine learning, artificial intelligence, and predictive modeling.
• You have deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
• You are an excellent communicator with the ability to translate business context into ML applications, and, conversely, explaining outputs of ML applications to business partners, product managers, and peers.
• You thrive in collaborative environments, and enjoy working with a diverse group of peers to solve ambiguous, impactful, problems. You are selfless in seeking the best solution for the problem at hand.
• A passion for and appreciation of the creative and entertainment industry is definitely a plus.
• Experience with forecasting models, financial data and/or familiarity with financial planning and analysis is a plus.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

About Media Systems Engineering

Media Systems Engineering helps filmmakers bring their vision to life, through the design and support of all technical workstations, image & sound equipment, and playback systems currently in use across all Netflix creative spaces. That includes screening rooms, post-production suites, QC environments, audio facilities, and specialty creative spaces that power content creation from capture through delivery. You will work at the intersection of creative intent and technical excellence, partnering closely with the Global Media Systems Engineering team to spearhead new technology deployments across the corporate and studio portfolio.

Role Overview

N Tech is seeking a Full-Time L5 Media Systems Engineer to join our Global Media Systems Design team. In this role, you will serve as a UCAN based team member of a globally aligned Engineering organization—ensuring that Netflix’s creative and technical spaces operate reliably, consistently, and to the highest industry standards. You will also have a direct impact on the development and implementation of Netflix internal system design standards alongside your peer group of engineers. 

This role requires strong technical depth, calm execution under pressure, and the ability to work autonomously while remaining tightly connected to the rest of our team.

Responsibilities

Technical System Design

Serve as a subject matter expert and technical authority in image, sound, and integrated system design across Netflix’s global portfolio of specialty creative spaces.

Own a deep understanding of industry standards, emerging technologies, and best practices across room types, including audio mix facilities, post-production environments, and review spaces leveraging both projection and emissive display technologies. 

Bring strong fluency in audio formats, playback standards, and end-to-end media workflows, with the ability to translate creative and technical requirements into clear system designs and project-level specifications.

Act as a key partner to construction teams, architects, and subcontractors to inform technical requirements, including:

• Acoustic standards (e.g., NC ratings, isolation)
• Room geometry, sightlines, and viewing conditions
• Functional Room Orientation & layouts aligned to production and post-production workflows

Ensure design intent is upheld from concept through delivery, maintaining alignment between engineering standards, creative needs, and real-world implementation.

Contribute directly to the evolution of Media Systems Engineering standards, bringing informed perspectives on new technologies, workflows, and design approaches. Actively participate in shaping the future of Netflix’s creative environments by driving continuous improvement, consistency, and innovation across the global portfolio.

Technical Support & Infrastructure

• Maintain and troubleshoot complex audio, video, and networking systems across post-production facilities, theatrical screening rooms, QC environments, and creative spaces.
• Perform routine and emergency audio and video calibrations to ensure compliance with Netflix, theatrical, and broadcast standards.
• Partner with internal network engineering teams to troubleshoot high-performance media and corporate networks, ensuring reliable A/V transport, data flow, and remote access.
• Support post-production pipelines and video encoding workflows, enabling creative teams to deliver world-class content without friction.

Collaboration & Continuous Improvement

• Partner closely with the global Media Systems Engineering team across all regions to ensure consistent tooling, behaviors, and support standards worldwide.
• Create and maintain clear documentation including SOPs, runbooks, and troubleshooting guides, keeping them current as systems evolve.
• Proactively identify opportunities to improve system reliability, operational efficiency, and the overall support experience.
• Operate autonomously within your region while maintaining transparency through documentation, reporting, and global syncs.

We Value

• Calm, professional judgment—especially in high-pressure or high-visibility situations with creative stakeholders.
• Strong customer service instincts and the ability to translate complex technical issues for non-technical audiences.
• Ownership mindset and accountability for outcomes, not just activity.
• Collaborative behavior across cultures, time zones, and technical disciplines.
• Strategic thinking that balances immediate fixes with long-term architectural improvements.

Skills & Experience

Experience

• 10+ years of experience supporting post-production, studio, or creative technology infrastructure.

Technical Expertise

You are not expected to have used every tool listed, but you should bring deep troubleshooting ability and the curiosity to learn quickly.

Theatrical & Screening Environments

• Experience with DCP systems including installation, commissioning, calibration, and maintenance.
• Strong knowledge of cinema audio systems, including Dolby Atmos, SMPTE standards, and calibration.

Live Events & Production Systems

• Hands-on experience with digital audio mixers, wireless microphones, camera routing, playback/record systems, and comms infrastructure.

Audio Production Environments

• Operational knowledge of Avid S6 consoles, Adder KVMs, and digital audio protocols (Dante, AES67).
• Expertise in audio calibration for near-field mix rooms, home theaters, music rooms, and screening environments.
• Understanding of acoustic principles for production and cinema spaces.

Post-Production & Creative Workflows

• Support experience across ADR stages, edit suites, QC bays, dailies labs, screening lounges, podcast studios, and gaming/streaming rooms.
• Expert-level troubleshooting of post-production software and systems (Avid, Adobe, Resolve, Pro Tools, Transkoder).

Networking & IP Media

• Strong understanding of network design, VLANs, subnets, clocking (PTP), and switch infrastructure.
• Proficiency with A/V over IP standards including Dante, AES67, ST 2110, and NDI.

Living the Netflix Culture

At Netflix, culture is foundational. To succeed in this role, you will embody the principles of our Culture Memo in your daily work:

• Selflessness: You optimize for what’s best for Netflix and the global team, sharing information openly and proactively.
• Judgment: You make thoughtful decisions, distinguishing between urgent issues and long-term architectural needs.
• Impact: You focus on results—keeping creative spaces operational and trusted through high-quality, high-impact work.
• Inclusion & Collaboration: You bring high EQ and respect to a globally distributed team with diverse perspectives.
• Context, Not Control: You are trusted to operate autonomously with clear context and accountability.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $270,000.00 - $410,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

At Netflix, our mission is to entertain the world, and experimentation is how we learn, innovate, and continuously improve the product for hundreds of millions of members.

The Experience Foundation team in Experimentation Platform builds and operates the core systems that power A/B test allocation, adaptive experimentation, and feature rollouts across Netflix. Our services are on the critical path for product experiences on every device, and must be highly available, low latency, and resilient.

We are looking for a Senior Distributed Systems Engineer to design, build, and operate the next generation of experimentation and feature flag infrastructure at Netflix.

*What You’ll Do*

• Build and evolve critical experimentation and feature flag services

• Design and implement high-scale, low-latency services for experiment allocation and feature flag evaluation

• Advance core distributed systems for decentralized allocation, rules evaluation, and real-time decisioning

• Own reliability and performance

• Participate in on-call, lead incident response, and drive long-term reliability improvements

• Instrument services with rich observability (metrics, logs, traces) and continuously tune for resilience, performance, and scalability

• Shape data and integration surfaces

• Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and Druid to ensure experimentation data is correct, timely, and usable

• Define clear data and API contracts for consumers and pipelines

• Partner with product engineering teams

• Deeply understand experimentation and rollout workflows across Netflix

• Simplify and improve the developer experience for configuring, launching, and monitoring experiments and feature flags

*What Sets You Apart*

• Backend & distributed systems depth
  You’ve built and operated scalable, reliable backend services and understand how to apply core algorithms, and systems design to real-world distributed systems.
• Strong coding & operational rigor
  You write high-quality code in Java or another JVM language and have owned production services end-to-end: monitoring, on-call, debugging, and systematic performance and reliability improvements.
• High-impact collaboration & product sense
  You work effectively with other senior engineers and cross-functional partners, bring clarity to ambiguity, drive decisions, and keep a sharp focus on delivering value to internal users and stakeholders.

*Why This Role Is Unique*

• Central to how Netflix learns: Your work underpins how nearly every product team experiments and rolls out features.
• High leverage & visibility: You will build foundational services used by engineers, data scientists, and product partners across the company.
• Challenging engineering problems: From high-throughput rules engines to observability at Netflix scale, you will tackle deep technical problems in production systems.
• Real ownership: You will influence architecture and roadmap while working with a senior and highly engaged team.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Analysis team in Experimentation Platform builds and operates the core systems that power A/B test analysis across Netflix. Our tools enable confidence in business decisions that affect our members.

We are looking for a Senior Distributed Systems Engineer to design, build, and operate the next generation of analysis tooling at Netflix.

*What You’ll Do*

• Build and evolve critical experiment analysis tooling

• Build, maintain, and improve real-time and batch analysis workflows for experiment analysis, regression detection, and more

• Own reliability and performance

• Participate in on-call, lead incident response, and drive long-term reliability improvements

• Instrument services with rich observability (metrics, logs, traces) and continuously tune for resilience, performance, and scalability

• Shape data and integration surfaces

• Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and Druid to ensure experimentation data is correct, timely, and usable

• Define clear data and API contracts for consumers and pipelines

• Partner with product engineering teams

• Deeply understand experimentation workflows across Netflix

• Simplify and improve the experience for monitoring and deciding experiments

*What Sets You Apart*

• Strong understanding of experimentation lifecycle and risks
  You’ve done it before: run or facilitated experiments with large business implications, understanding the risks and rewards of experimentation at scale. A background in data science/statistics is a big plus.
• Backend & distributed systems depth
  You’ve built and operated reliable and observable backend workflows and understand how to apply core algorithms, and systems design to real-world distributed systems.
• Strong coding & operational rigor
  You write high-quality code and systems, and have owned production services end-to-end: monitoring, on-call, debugging, and systematic performance and reliability improvements.
• High-impact collaboration & product sense
  You work effectively with other engineers and cross-functional partners, bring clarity to ambiguity, drive decisions, and keep a sharp focus on delivering value to internal users and stakeholders.

*Why This Role Is Unique*

• Central to how Netflix learns: Your work underpins how nearly every product team experiments and rolls out features.
• High leverage & visibility: You will build foundational services used by engineers, data scientists, and product partners across the company.
• Challenging engineering problems: Our analysis workflows process billions of events per day - and the speed of processing these events directly affects business outcomes.
• Real ownership: You will influence architecture and roadmap while working with a senior and highly engaged team.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.

Our Team

The Ads Integration Engineering team is committed to accelerating product adoption at scale by streamlining complex and repeatable integrations with external partners and platforms. Our mission is to deliver standardized, paved-path integrations that unlock operational value and accelerate time to market, acting as the primary technical liaison to ensure seamless implementation and robust support. 

Responsibilities

• Build a deep understanding of the Netflix Ads Stack to serve as a platform expert capable of navigating technical ambiguity and selecting the most efficient integration paths aligned with long-term product vision.
• Drive the end-to-end integration lifecycle including implementation, configuration, and validation by working exclusively within established systems and tooling owned and built by core Software Engineering (SWE) teams.
• Serve as the voice of the customer and primary technical point of contact for external partners, representing their technical needs and constraints in internal requirements discussions to ensure the product roadmap accounts for real-world integration challenges
• Provide hands-on technical support for integrations, while owning the launch monitoring and stability of mature product integrations to ensure a successful transition to live usage.
• Act as the internal quarterback for critical incidents (SEV1/SEV2). Manage communication between the client and Product/Engineering during outages.
• Manage proactive technical communications with all stakeholders and contribute to integration-specific codebase changes (such as debugging, configuration, or observability improvements) in close collaboration with the responsible SWE teams.

Qualifications

Ad Tech & Tech Proficiency

• Deep experience in digital media or ad tech, specifically in roles involving hands-on work with CAPI platforms, audience onboarding, and data integrators. Exposure to advertising measurement partners and campaign activation workflows is a plus.
• Strong understanding of Conversions API (CAPI) integrations across major platforms (Meta, Google, Snap, Pinterest, LiveRamp) and best practices for audience mapping, onboarding, and activation. Familiarity with tag management systems like Google Tag Manager is highly desirable.
• Hands-on experience with data integrators and ETL pipelines used in audience onboarding and measurement workflows. Proficiency in SQL for data validation and debugging; scripting experience in Python or Java..
• Proficiency in Java or Python and advanced SQL knowledge are required for hands-on technical tasks, including data preparation, dealing with log-level data and debugging.
• API Mastery: Extensive experience implementing, troubleshooting, and debugging REST APIs using tools like curl, Postman, or similar.
• Cloud Architecture: Deep understanding of at least one public cloud computing platform.
• Code Comprehension: Ability to read and debug code to contribute minor, integration-specific changes (e.g., small pull requests, observability improvements) to existing codebases.
• Technical Support and Client training Expertise: Hands-on experience providing technical support, resolving blockers, and performing system validation to ensure successful integration launches.
• Embrace Emerging Technologies: There is immense opportunity to leverage AI tools to improve our ability to provide world-class support, documentation, and integration with our partners. We would love to see experience with leveraging these tools for real-world results in this space.

Partnership & Communication

• Platform Mastery & Curiosity: A high degree of curiosity and the ability to rapidly build a deep understanding of the Netflix Ads Stack to serve as an authoritative resident expert, providing the technical guidance needed to steer partners and internal teams through complex implementations.
• Technical Translation: Proven ability to translate ambiguous business requirements into concrete technical integration plans and explain complex concepts to both technical and non-technical stakeholders.
• Partner Advocacy: Strong stakeholder management skills with the ability to manage technical relationships and effectively represent partner needs to internal product and engineering teams.
• Strategic Problem Solving: Ability to navigate technical ambiguity to identify the most efficient solutions that align with the long-term product vision.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $270,000.00 - $410,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*About the Team*

We design, build, and operate the foundational identity and authentication layer for Netflix’s cloud infrastructure. We deliver paved-path services that enable Netflix to scale securely and with velocity, serving as the root of trust for agentic, machine and workload identities. Our scope includes managing core infrastructure like identity provisioning, secret management, mTLS, and secure SSH access. We believe in making the secure path the easy path, delivering resilient, highly available primitives that allow Netflix engineering teams to build securely by default without friction.

The Platform Security team is a well-established and cohesive group, providing the support you need to do your best work. We strive to create a positive and supportive work environment that values psychological safety and collaboration over individual achievement. The Netflix culture determines who we hire, how we work together, and how we make decisions. It will inspire you to bring your best every day and to find new ways to make us all better.

*What You’ll Do*

• Help innovate within the domain of agentic identity as we build out a platform offering to enable various GenAI use cases.
• Serve as one of the technical 'North Stars' on the team and advocate for changes, advancements, and innovation within our domain in order to meet business needs.
• Design, build, and maintain critical identity and authentication services
• Develop features and enhancements related to agentic identity, workload identity, mTLS, and authentication token issuance.
• Collaborate closely with cross-functional partners to deliver secure, reliable, and developer-friendly solutions.
• Participate in our on-call rotation, supporting high-availability services that are critical to Netflix’s security posture.

*About You*

• Distinguished Technical Leader who identifies and solves highly complex, open-ended problems, driving significant business and technical impact and defining the longer-term technical strategy for identity and authentication at Netflix.
• Advanced proficiency in Java, with extensive experience designing and building scalable, resilient, and secure distributed systems.
• Deep expertise within the security domain, particularly in workload identity, cryptography, or Public Key Infrastructure (PKI). You are considered a thought leader who can directly solve problems that most engineers cannot.
• Connects security and business needs to define the guiding principles for the domain, and you effectively collaborate and influence cross-functionally to drive the adoption of those principles and your technical roadmaps.
• Demonstrates excellent judgment in making complex trade-off decisions, distilling ambiguous problems into elegant, secure-by-default solutions.
• A mentor and collaborator with a team-oriented mindset who tailors communication for a given audience.

*Bonus Points For*

• Experience in cryptography, secure distributed systems, authentication, or secure hardware
• Familiarity with Go, Python, React, and other languages
• Knowledge of Amazon Web Services
• Experience with full-stack development

If you are passionate about building foundational services that abstract away complexity and enable a secure-by-default environment for engineering teams at scale, and want to help shape the future of agentic and machine identity at Netflix we would love to hear from you!

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $530,000.00 - $920,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged. We wrapped up our first two years of the journey and are well into year three with more exciting things to come!

Our Team

The Ads Platform Engineering org builds advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - a unique mix of client and server-side ad insertions, state-of-the-art content delivery systems, ad encoding recipes, content understanding and metadata, etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.

We are seeking to build the core technology that empowers a super intelligent ad sales team. This role will focus on leveraging the latest techniques in AI/ML/genAI to help the sales team accelerate revenue growth.

Skills & experience we’re seeking:

• Experience in building first party tools, APIs and services that leverage data and real-time insights to support sales workflows.
• Experience working with one or more sales / CRM platforms (Salesforce preferred), including custom workflows and key business system integrations to deliver outcomes.
• Experience with building modern backend and frontend applications on cloud / AWS  using Java, Spring Boot, React, GraphQL, Node.js or equivalent technologies. Experience with distributed systems and microservices, NoSQL databases, queues like Apache Kafka and a solid understanding of CI/CD pipelines and DevOps practices.
• Working knowledge of AI/ML/genAI techniques and an ability to apply them to sales processes such as lead scoring, pitch recommendations, and workflow automation.
• Understanding of how sales domains - sales productivity, account foundations, and sales performance management - work with ads platforms for a holistic view of the business.
• Working familiarity of diverse ad sales channels including direct IO, programmatic, aggregator, reseller, and self-serve.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $413,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

About the team

Our Research Data Products team is at the forefront of insights innovation. Our team leverages technical expertise in data science, engineering, and solutions development to support a high-impact team of 90+ quantitative and qualitative researchers across the globe. We enable cutting-edge research through frameworks, data products and technologies designed to help answer Netflix’s most complex business challenges through consumer-driven analytics.

About the Role

As a Software Engineer, you will help mature and expand our Research platforms, data products and frameworks. You will flex both Software and Data Engineering skills, while building context of existing systems and deciding whether to extend, build or buy new solutions. You will combine knowledge of principles, architecture, design patterns, storage, and processing frameworks to build scalable, performant and maintainable (either by self or others) systems. Your work will help pave the paths for these data products in partnership with an interdisciplinary team of engineers, data scientists, and researchers.

What You will Do:

• Solve business needs at scale by applying your software engineering and analytical problem-solving skills
• Design and building robust, scalable, and highly available distributed infrastructure
• Lead cross-functional initiatives and collaborating with engineers, product managers, and technical program managers across teams

• Sharing experiences with open source communities and contributing to Netflix OSS

• Develop integrations with data SaaS platforms and first party infrastructure.

• Support integrations with Research, A/B testing and experimentation systems for sampling and allocation protocols

• Develop libraries and SDKs to extend core functionality to new systems

• Enable Data Scientists by developing scalable methods, utilities and applications

• Partner with other Data Engineers & Software Engineers to make data available for self-service and wider integration.

What we are looking for:

We are looking for a skilled, independent, and curious Software Engineer who champions scalable solutions engineering for analytic applications.

• Proficiency in SQL, Python, or Spark for querying and analyzing large datasets.
• Experience with data pipelines, ETL, and cloud platforms (AWS, GCP, Azure).
• Understanding of privacy-preserving techniques (e.g., encryption, federated learning, synthetic data).

• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

• You are proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL (any variant).

• You possess strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high-quality data products.
• You understand how ML systems consume data—features, inference inputs, labels, and reward signals
• You can craft scalable systems and solutions to realize a range of product and engineering goals.
• You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.
• You own what you build, beyond just your code and have a passion for quality.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

ROLE

The N-Tech Software Engineering team plays a vital role in developing internal solutions to streamline employee productivity. Our goal is to make employees' daily activities frictionless and nurture their overall experience, subsequently saving Netflix time and money.

ABOUT YOU

You are an individual who thrives on independence, has a passion for creating high-quality products, and can form close work partnerships with engineers, product managers, and designers. You are adept at problem-solving, enjoy a challenge, and have experience building scalable, high-performing applications. You have excellent communication and collaboration skills, and, most importantly, you have experience as a full-stack developer designing workforce solutions that increase collaboration and efficiency of our enterprise applications. 

In this role, you'll help shape our strategy and vision to develop a streamlined support and user experience for the Netflix Workforce.  You’ll be a part of the team chartered with elevating the collaboration and user experience of our workforce by providing customized solutions for Enterprise applications and services. You'll design, develop, and maintain products, infrastructure, and integrations with third-party and other teams’ services. You will collaborate effectively with myriad teams and communicate technical ideas persuasively. You influence and shape team and project direction through effective partnerships across the entire company to save Netflix time and money and enhance productivity for the whole workforce.

RESPONSIBILITIES

• Design, develop, test, deploy, and operate fully integrated solutions across build/buy that provide seamless end-to-end product experiences.
• Influence broad support strategy and vision for internal enterprise applications.
• Collaborate with cross-functional teams to streamline our support technology communications and tooling.
• Apply AI and GenAI responsibly to solve enterprise problems for the whole company.
• Design, build, and maintain infrastructure for modern integration methods between our applications, third-party services, and other Netflix teams' services.
• Collaborate effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team and across all of Netflix.
• Communicate technical ideas and work closely with other senior members of the team.
• Design, build, and maintain responsive, accessible web interfaces using React, paired with scalable backend services that expose secure RESTful/GraphQL APIs and implement BFF patterns for optimized frontend integration.
• Drive full-stack architecture and code quality through rigorous testing, thoughtful design reviews, and scalable engineering practices that ensure performance, reliability, and maintainability across the stack.

WE VALUE

• You have strong problem-solving skills and the ability to make data-driven decisions.
• You are passionate about engineering principles and developing tools and applications for impact with high quality.
• You thrive in a dynamic environment where needs shift and can clearly articulate priorities and critical outcomes to your team.
• You are skilled at clearly communicating technical solutions and the rationale behind design decisions to both technical and non-technical stakeholders.

SKILLS AND EXPERIENCE

• Experienced software engineer with a strong full‑stack background, comfortable working across modern web frontends and backend services.
• Demonstrable ability to lead a project and deliver an end product on time, at quality
• Comfortable working with distributed systems / cloud environments and troubleshooting complex, service‑oriented architectures.
• Skilled in integrating AI into the design and development of software applications to enhance functionality and solve complex problems.
• Solid experience with backend development (e.g., Node.js, Python), building and consuming APIs (REST and/or GraphQL), and working with databases.
• Familiarity with testing frameworks and tools and a track record of shipping high‑quality, well‑tested code.
• Iterative and data‑informed, using experiments, prototypes, and insights to navigate ambiguity and refine solutions.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $413,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

How do you spark joy in hundreds of millions of people? It starts with a vision - that technology can give voice to stories around the world. In delivering those much-loved stories, Netflix is responsible for a significant portion of global internet traffic. To steward that responsibility, we work collaboratively with ISPs to deploy Open Connect, Netflix’s Content Delivery Network (CDN), our in-house custom-built network and server infrastructure responsible for delivering 100% of Netflix's video traffic. 

In addition to streaming video delivery, Open Connect Appliances (OCAs) are ideally situated to also improve the latency between clients and the Netflix services running on AWS. The Open Connect Edge Accelerator is taking advantage of the highly geo-distributed nature of Open Connect to improve the quality of experience. It is the entry point for device and website traffic, putting it on the critical path to delivering and monitoring our product experiences. 

The Role

We are seeking an experienced engineering leader to head the SRE team responsible for our Edge Accelerator and CDN DDoS protection services. In this role, you will define and execute the team’s roadmap with a strong focus on reliability, resilience, performance, latency measurement, traffic steering, failover mechanisms, protocol optimizations, and DDoS detection and mitigation.

This position requires building strong partnerships with senior engineering and operations leaders. The ideal candidate has substantial experience leading SRE teams and supporting large scale CDN edge or cloud ingress infrastructure, with deep expertise in both technical implementation and team leadership.

*You Are*

• An empathetic and humble leader with deep expertise to draw on, combined with a natural curiosity to learn more
• Someone who keeps their technical skills sharp with meaningful engineering work
• Capable of looking past immediate specifications, synthesizing requirements, and collaborating to design forward looking solutions that span across multiple applications
• Capable of working in a highly collaborative environment alongside your teammates, development and network engineering teams, partners, and project managers
• Articulate in communicating opportunities for continuous improvements to existing systems with a clear understanding of the impact on the business.

*Required Skills*

• Thorough technical understanding of internet architecture, video streaming, and related topics
• Deep technical expertise in designing, building, operating, and optimizing large scale 24/7 production systems
• Experience leading an SRE team accountable for the reliability of large scale, highly efficient distributed content delivery or cloud infrastructure services, with a focus on edge acceleration and DDoS protection
• Exceptional communication, cross-discipline collaboration, and leadership skills

*Things that show what we work on and how we think*

• Netflix Networking: Beating the Speed of Light with Intelligent Request Routing
• FreeBSD optimization used by Netflix to serve 800 Gb/s from a single server
• Resiliency Practices in Managing CDN
• Measuring Real-Life Latency of the Internet: A Netflix Story
• Mastering Near-Real Time Telemetry and Big Data

Does this sound interesting? Or does this sound interesting but intimidating? Please don’t self-select out, let’s figure it out together. We’d love to talk to you!

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $710,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*The Challenge:*

At Netflix, we are dedicated to delivering an unparalleled viewing experience, ensuring high video quality for our members no matter the content (from a 4K HDR documentary like Our Planet at home to Stranger Things over a cellular network on a commute), the location, or the device.

As Netflix expands its live streaming, this role involves maintaining our standard of excellence for live streams and events—be it BTS concerts, an Alex Honnold climb, or the WBC—while simultaneously tackling the added engineering complexity of real-time streaming and low latency.

To meet these challenges and make every bit of our video streams count, we must constantly improve our video encoding and processing algorithms. This requires evaluating the latest technologies and workflows in a way that is scalable, quality-focused, and latency-efficient.

We are seeking a Software Engineer in Video Algorithm Systems to help solve these complex engineering problems and drive strategic research in the field.

*The Role:*

As a Software Engineer in Video Algorithm Systems:

• *Algorithm and Workflow Development:* Design and prototype advanced encoding algorithms and software workflows focused on enhancing video quality and/or reducing bandwidth consumption for our video streams.
• *Live Video Focus:* Engage directly with the live domain, concentrating on live encoding orchestration, real-time quality analysis, and supporting the newest live events released on Netflix.
• *Impactful Technical Challenges:* Tackle complex video encoding problems, ensuring that Netflix videos are best-in-class quality while simultaneously meeting the low-latency demands of live streaming.
• *Research and Innovation:* Pursue research into next-generation image and video coding technologies and the latest encoding tools. This includes opportunities to collaborate with academic research groups and present work at research conferences.

*About You:*

You are a Software Engineer who:

• Can handle ambiguity of niche challenges and thrives in a fast-paced environment
• Demonstrates strong technical curiosity and a drive to deepen technical expertise.
• Works effectively with cross functional teams
• Has a strong distributed systems expertise and experience designing, building, and operating systems at scale
• Has a background in video algorithms or media processing
• Experience building new products from the ground up with strong system design fundamentals and extensible architectures
• Is excited to apply your expertise to a product that touches millions of lives everyday

*Preferred Qualifications:*

• Expertise in optimizing software performance.
• Strong knowledge of video streaming and encoding principles, including codec standards (e.g., H.264/AVC, HEVC, AV1) and professional tools like Media Live and Ateme.
• Experience in image and video quality assessment.

*Minimum qualifications:*

• Experience with large-scale distributed systems and cloud-computing
• 4+ years experience in multimedia software development, with excellent debugging and problem solving skills.
• BS in Computer Science/Electrical Engineering or equivalent. MS or PhD a plus.
• Strong Java or C++ experience with solid software design fundamentals
• Background in Media Processing and knowledge on Video Foundations

*Bonus points:*

• Experience with software performance optimization
• An understanding of video compression and encoding, including tools such as Media Live, Ateme and codec standards such as H.264/AVC, HEVC and AV1.
• Involvement in open-source multimedia projects (such as ffmpeg, x264, avisynth, webm)
• Experience with image and video quality assessment

*To learn more about our team, check out the following articles:*

https://netflixtechblog.com/netflix-live-origin-41f1b0ad5371

https://netflixtechblog.com/all-of-netflixs-hdr-video-streaming-is-now-dynamically-optimized-e9e0cb15f2ba

https://medium.com/netflix-techblog/high-quality-video-encoding-at-scale-d159db052746

https://medium.com/netflix-techblog/per-title-encode-optimization-7e99442b62a2

https://medium.com/netflix-techblog/more-efficient-mobile-encodes-for-netflix-downloads-625d7b082909

https://medium.com/netflix-techblog/optimized-shot-based-encodes-now-streaming-4b9464204830

https://medium.com/netflix-techblog/the-end-of-video-coding-40cf10e711a2

https://medium.com/netflix-techblog/performance-comparison-of-video-coding-standards-an-adaptive-streaming-perspective-d45d0183ca95

https://medium.com/netflix-techblog/vmaf-the-journey-continues-44b51ee9ed12

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $413,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Roles

These Technical Program Manager roles will lead critical initiatives across Netflix’s Cloud Infrastructure and its AI Platform, partnering closely on migrations, adoption, and scalability of these infrastructure platforms. Each role will drive high-impact, cross-functional programs supporting different areas: 

One role will support Netflix’s Cloud Infrastructure, focusing on fleet-wide modernization, agility, scalability, reliability, and efficiency while abstracting complexity for internal customer teams. This role requires experience driving Cloud Infrastructure scalability, reliability, and efficiency at a large scale, a proven ability to develop deep internal customer relationships, and an understanding of how to adapt cloud infrastructure for changing business needs.

Netflix’s Cloud Infrastructure serves as the backbone for Netflix's growing scale and engineering productivity, representing a critical strategic capability spanning compute, networking, storage, infrastructure management, performance engineering, and platform services.

One role will support Netflix’s AI Platform, focusing on adoption, scalability, modernization, and internal partnerships while abstracting complexity for internal customer teams. This role requires proven experience improving and scaling machine learning infrastructure for in-product use, building long-term solutions with both engineers and ML practitioners, a proven ability to develop deep internal customer relationships, and an understanding of AI/ML in-product lifecycles.

Netflix’s AI Platform enables ML and AI practitioners to seamlessly develop, train, deploy, serve, and manage models, empowering rapid innovation and business impact at every stage of the ML/AI lifecycle.

One role will support both areas and requires at least the core TPM competencies listed below.

All roles will own and drive multiple cross-functional programs in collaboration with technical teams that focus on scalable, reliable, and secure infrastructure, ensuring that infrastructure investments deliver meaningful outcomes for both platform reliability and customer needs.

Responsibilities:

• Lead initiatives that drive adoption and scalability of infrastructure platforms, including large-scale platform modernization, migrations, and feature rollouts.
• Partner closely with leaders, engineers, PMs, and practitioners to decompose complex problem spaces into technical execution plans with well-defined milestones, ownership, and success criteria.
• Drive execution rigor by tracking progress, managing dependencies, and proactively identifying risks, trade-offs, and mitigation strategies while implementing minimal process.
• Communicate clearly and consistently with technical leadership and stakeholders on progress, risks, and decisions.
• Use insights from program execution to influence platform evolution, architectural direction, and operational practices over time.

*Requirements:*

• 7+ years of experience leading large-scale technical programs in infrastructure, internal platforms, or distributed systems, working directly with engineering teams.
• Experience driving programs across infrastructure layers to develop scalable platforms that support diverse business needs.
• Proven experience creating partnerships with cross-functional teams, driving large-scale technical strategies, debating technical approaches, and building long-term scalable solutions with engineers.
• Proven ability to identify gaps in solutions and weigh in on product vs. technology trade-offs.
• Excellent written and verbal communication skills, with the ability to articulate technical constraints, trade-offs, and business impact to diverse audiences.
• Self-starter who enjoys quickly bringing organization and direction.
• Proven ability to operate in 0→1 and evolving problem spaces, quickly bringing order and execution discipline without adding too much process.
• Understanding of challenges in high-scale distributed systems, architectures, and data layers.

*What sets you apart?*

• You can drive from strategy to execution with minimal direction.
• You enjoy orchestrating programs with many moving parts - people, needs, and technologies.
• You aren’t afraid to get your hands dirty, pulling data to provide insight, debug issues, and monitor system health.
• You have a data-driven mindset in your decision-making.
• You have a deep understanding and point of view within your technical domain(s) of expertise.
• You have a healthy blend of technical knowledge with a customer-focused mindset and empathy.
• You are a strong systems thinker with the ability to connect infrastructure capabilities to business outcomes.

Nice to have:

• Experience with fleet-wide cloud efficiency and/or building a culture of cost efficiency.
• Experience with machine learning training and experimentation.
• Experience with machine learning pipelines.
• Experience with inference at production scale.
• Experience applying AWS cloud services at a large scale.
• Experience with Kubernetes used natively in platform services.
• Experience with 3rd party vendors/tools for training and inference experimentation uses.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $420,000.00 - $630,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business.

The Ad Ranking team in Ads Data Science and Engineering plays a crucial role in Netflix's ad business growth. The team is responsible for improving ad quality and performance, leveraging both first party and third party signals, and advanced machine learning and optimization algorithms. Core areas of focus include identity science, user understanding, audience & targeting, relevance and prediction models, and bidding / pacing algorithms. We are looking for a visionary leader with strong domain expertise in digital advertising ranking and quality optimization, to collaborate closely with partner teams and strategize on overarching business goals. Your team will be at the forefront of developing and implementing advanced representation / deep learning models and optimization algorithms, driving significant enhancements to our advertising systems. With a commitment to analytical rigor, your team will also evaluate ideas, dissect problems, build workflows, provide recommendations, and lead end-to-end analytics initiatives in this transformative space.

Responsibilities

• Hire, inspire, and grow high-performing machine learning and domain scientists, analysts, and managers.
• Lead strong partnerships with stakeholders from across the business - from product management, engineering, finance, consumer insights, content, and strategy.
• Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.
• Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.
• Act as an ambassador between the Product, Engineering, Finance, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.
• Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business.

The Ideal Candidate:

• Deep domain expert in identity science, ad targeting, ad ranking, and delivery optimization.
• Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions.
• Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization, and our Hollywood and global partners.
• You are a player-coach. You can develop roadmaps and strategies, but also execute on technical work and ensure that your team produces consistent high quality outputs.
• Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences.
• Experience building and leading hybrid Science, ML and Algorithm teams in the ad space, with manager reports.
• Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations
• A passion for TV and movies and defining the future of entertainment

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $676,000.00 - $1,195,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Ads Business Analytics & Tools team builds the analytical foundation that powers the Ads business — metrics, semantic models, analytic tools, and governed data products. We own the Ads Metric Catalog (AMC), the semantic layer that defines every core Ads metric once and materializes it across all analytical surfaces. Our goal is to help Netflix scale its advertising platform with trust and clarity.

We're looking for a Senior Analytics Engineer to own the analytics foundation for advertiser-facing reporting and help drive shared metric consistency across the ad platform. The reporting module is the primary focus. It's the most visible surface on the ad platform — what advertisers see, what gets audited, and what sets the bar for how every other module approaches metrics. The module is growing as we expand into regulatory compliance reporting for international markets, partner-built reports, and new report types for an increasingly global advertiser base. You'll own reporting's analytics foundation — the semantic layer, metric methodology, and analytical data contracts — and in doing so, establish a reference implementation that other modules can follow. As the platform scales, the accuracy and consistency of what advertisers see in reporting is central to the product experience.

The ad platform backend is also evolving quickly, with new modules being developed that often share metrics with the reporting system. Netflix's ad platform powers campaign management, delivery, yield analytics, billing, and reporting through a suite of interconnected modules — and that suite keeps expanding. This role helps ensure metric definitions stay consistent across all of them.

You'll work at the intersection of our Ads Metric Catalog and the platform's operational metric computation layer. AMC defines metrics once on the analytical side and materializes them across dashboards, BI tools, and reporting surfaces. The ad platform has its own computation layer that powers real-time delivery, pacing, and reporting. Both consume the same underlying data but serve different latency and computation requirements — making cross-system metric consistency an ongoing, hands-on effort.

What You Will Do

• Go deep on reporting. Serve as the dedicated Analytics Engineer for the platform's campaign reporting capabilities — default reports, new report builds (e.g., billed cost reports), partner-built reporting modules (e.g., regulatory compliance reporting for international markets), and the data models that power them. This module is expanding, and the scope will grow with it. You'll work closely with the Campaign Reporting PM on prioritization and roadmap, and with DE on schemas and data contracts.
• Go wide on metric standards. Act as the steward for cross-module metric consistency in partnership with Product, DE, Finance, and other module owners. Reporting is the reference implementation — your metric definitions, source dataset choices, and calculation methodologies serve as the benchmark against which other modules align. That said, the platform is evolving, and new modules will bring new questions about how metrics should be defined. Part of the job is working through those questions with module teams as they come up — ideally early, when they're designing new metrics or data models, so the reference patterns are part of their build process rather than a retrofit.
• Build and extend the Ads Metric Catalog into the ad platform. As a member of the team that owns AMC, you'll contribute directly to the semantic layer — writing metric definitions, building materialization logic, and developing governance workflows. You'll help ensure reporting is a flagship consumer of AMC-governed metrics and build adoption patterns that other modules can follow.
• Partner closely with the Campaign Reporting PM. The PM defines what the product should do. You define how the metrics that power it are calculated, validated, and governed. As the platform scales for external advertisers, that partnership is where product vision meets data rigor.
• Partner with Data Engineering on Data Foundations. Work with the Reporting DE lead to ensure metric standards are embedded in the ongoing backend rearchitecture — shared data models, consolidated reporting schemas. Reporting is the primary proving ground for this rearchitecture, and the patterns you establish here will shape how newer modules build their data foundations.
• Float across the platform as needed. When other modules need AE support — reviewing data models against the shared schema, validating new metrics, or ensuring they follow the patterns reporting has established — you step in. As the ad platform evolves, this kind of cross-module support becomes more important, not less.
• Participate in cross-functional governance. Represent the reporting and metric standards perspective on cross-team councils and platform federation processes — reviewing specs, contributing to data standards, and helping ensure metric consistency between analytical and operational surfaces alongside DE, Product, and Platform Engineering partners. As new modules come online and existing ones evolve, you'll help ensure metric definitions stay aligned — surfacing questions early and working with the relevant teams to resolve them.

What You Bring

• Full-stack data fluency. SQL, Python, and experience with semantic modeling and metric computation. Exposure to columnar analytics stores (e.g., Druid) and lakehouse architectures (e.g., Iceberg) is valuable — deep expertise in at least one analytical data platform is needed for the role.
• Metric governance experience. Familiarity with semantic modeling (LookML, DataJunction, or equivalent) and data quality frameworks. You understand that defining a metric across a matrixed organization is as important as writing the code to compute it.
• A product-minded approach to metrics. You're comfortable with ambiguity, partner closely with PMs and DEs, and can drive consensus on metric definitions across Product, Engineering, and Analytics teams. You think like a technical lead for the semantic layer — not just building it, but shaping how others use it.
• Communication and influence. The ability to work with PMs, DEs, and AEs across module teams on shared definitions and standards. You connect the dots between what the numbers say and what they should mean.
• Workflow orchestration. Experience with tools like Apache Airflow or Maestro, and analytics scripting for building and maintaining data pipelines.
• API fluency. Familiarity with API design, querying, and integration (e.g., GraphQL, REST) — we're building out both external and internal APIs for querying data and serving metric definitions, and this role will increasingly intersect with those systems.
• Interest in AI and agentic workflows. We're investing in how AI can accelerate metric governance, data quality, and self-serve analytics. This role will intersect with that work, so curiosity about how LLMs, agents, and AI-powered tooling can improve analytics workflows is valuable.
• Awareness of external data quality standards (e.g., MRC) is a plus — our reporting surfaces serve external advertisers and operate under strict data integrity expectations.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Team

XD Design Engineering is a small team of engineers with a big mandate: to develop, maintain, and innovate the Design Platform central to Netflix’s product development lifecycle.  Our goal is to improve product development velocity without compromising on fidelity and to increase efficiency of the design/engineering handoff.  Our portfolio includes API services, web apps, and Figma Plugins, serving a diverse range of cross-functional partners, from product designers and project managers to software engineers.

The Role

In this high-impact role, you’ll work on a portfolio of productivity tools designed to accelerate the product design lifecycle at Netflix.  You’ll collaborate closely with both designers and engineers, working with platform and product teams to drive innovation.  You'll lead and champion projects and effectively communicate their impact to partner teams.  You will also gather input from stakeholders, identifying opportunities to help set a long-term technical strategy that continuously evolves the design tooling portfolio to ensure it remains best-in-class.

Responsibilities

• Owning, maintaining, and expanding critical workflow applications supporting hundreds of internal users (React and Figma)
• Implementing AI solutions, when appropriate, that measurably accelerate product design workflows
• Be the engineering lead on projects, working from ideation to implementation to rollout
• Conducting internal user-research to gather insights to inform prioritization and feature development
• Completing medium to large features independently without guidance
• Be the primary point of contact for support requests related to the Design Tooling portfolio
• Work with engineers across other teams to maintain the integrity and reliability of the Design Tooling portfolio.
• Participate in on-call rotation to continue to meet our critical SLAs
• Conducting design and code reviews

Who You Are

• 7+ years of professional experience designing, building, and shipping software
• Experience with single page applications architecture, patterns, and design
• Experience fetching data from GraphQL and REST APIs
• Experience with client-side instrumentation and observability
• Proven ability to lead projects and clearly and effectively communicate with partners
• Strong project scoping and project management skills
• Able to design, architect, debug, test, and create well-documented code
• Proficient in JavaScript/TypeScript, React, and Node.js

What Sets You Apart

• You’re known for your excellent communication skills (written and verbal)
• You have an ownership mentality in all the things you build and are comfortable with identifying opportunities and driving forward-looking technical roadmaps

• You take a thoughtful, practical approach to problem-solving that considers tradeoffs and avoids over-engineering

• You’re motivated by the scope and impact to influence decisions that shape the future of design workflows

• You’re data driven and lean on both qualitative and quantitative data to drive your decision making

• You have a strong intuition for user experience flows

• Expert at managing web applications with complex state management

• Current/former professional experience working with Figma Plugins

• Bonus if you’ve contributed to open-source projects

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Bring your passion for games and distributed systems to help us reinvent video games at global scale. Netflix transformed how people watch television; now join us to build the next-generation gaming platform for 300+ million members worldwide and the industry’s best-in-class distribution platform for game developers.

The Opportunity: Building the Backbone of Netflix Gaming

Games Systems is the backend team building and operating the foundational services that power the Games Developer Platform and the infrastructure supporting Cloud Games. Our mission is to enhance player discovery, gameplay, and engagement across Netflix's entire game portfolio — equipping developers both internal and external, with the platform capabilities they need to ship, iterate, and grow their product experiences.

As an L5 Software Engineer, you will play a pivotal role in designing, implementing, and scaling services that empower game developers and elevate the global member experience. You’ll work on high-throughput, low-latency infrastructure for running games, while also building features that drive player engagement both within individual games and across the broader Netflix platform—reaching millions of members worldwide.

What You'll Do

Own Critical Infrastructure: Design and operate the foundational systems underpinning Games: identity/authentication/authorization abstractions, and control plane services.

Build the Developer Platform: Architect and evolve core services that form the table stakes of the Netflix Game Developer Platform — cloud saves, leaderboards, achievements, and the APIs and SDK surfaces through which game developers build and iterate.

Mentor and Grow the Team: Be a day-to-day technical resource for junior engineers through design pairing, code review, and hands-on guidance.

Operate What You Build: Own the full lifecycle from design through production, with a high bar for reliability, observability, and operational excellence.

What You'll Bring

• 10+ years of professional experience designing, building, and operating highly available distributed backend systems at scale.
• Deep expertise in distributed systems — low-latency architecture, and fault-tolerant design, operating large-scale distributed datastores.
• Strong experience building developer-facing platform services and APIs (REST, gRPC, SDK surfaces).
• Proficiency in one or more modern backend languages (e.g., Java, C++).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure), microservices, and both SQL and NoSQL data stores.
• A track record of technical leadership — driving complex projects end-to-end, influencing across team boundaries, and raising the quality bar around you.
• Comfort with high ambiguity — ability to define structure and clarity from first principles in a fast-moving environment.
• Prior experience in the gaming industry or working on game platform infrastructure is a plus.

We seek to grow inclusive and diverse teams that will enhance our perspectives, skill sets, and behaviors. We highly encourage you to apply if your background will complement us, even if your experience doesn't precisely match the job description. Your skills and passion will stand out — and set you apart — especially if your career has taken some extraordinary twists and turns.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Technical Merchandising team members are the guardians of our merchandising capabilities. As a Technical Merchandising Configuration Lead, you will drive the execution and implementation of our merchandising configurations and capabilities across the Netflix service.

This role requires deep expertise in how our product and merchandising techniques work, and how we develop and optimize them over time to scale and support our business. You will work in close partnership with the Senior Manager of Configurations, Member Experience, and Content Platform Product Management teams to translate merchandising strategies into technical implementations.

The position demands technical depth and expertise while serving as a bridge between content strategy and platform implementation. You will help ensure our merchandising capabilities effectively connect members to our world of entertainment, creating a Netflix experience that is engaging, relevant and truly delightful for everyone, everywhere.

The ideal candidate has strong technical merchandising experience, excellent communication skills, and thrives in a fast-paced innovative environment. This is an opportunity to join a dynamic team within Netflix; you will get the chance to contribute significantly to the team's business impact and help set the bar for what this team can deliver.

*Key Responsibilities:*

Technical Configuration Leadership

• Execute the vision and requirements for merchandising configurations and capabilities - working with Member Experience and Content Platform Product Management teams to integrate merchandising program requirements into overall core roadmaps
• Partner on the development of new merchandising capabilities and work with the Performance manager to integrate experimentation frameworks and performance evaluation
• Ensure the broader team adopts new capabilities and deeply understands requirements for effective utilization
• Implement and maintain merchandising guidelines and principles for when/how merchandising modules are used

Technical Support and Implementation

• In partnership with other technical merchandising experts, evaluate business needs and contribute to roadmap prioritization
• Understand the technical capabilities and limitations of our merchandising systems and use this knowledge to determine how we best support business needs
• Develop deep expertise in merchandising capabilities and innovation needs

Process and Operations

• Implement the required processes to track merchandising configurations and work with Merchandising Operations Leads to ensure ongoing tracking health
• Create technical documentation for merchandising configurations and capabilities
• Support the testing and quality assurance of new merchandising features
• Collaborate with the Technical Merchandising Specialist to develop and maintain technical runbooks and training materials

Cross-Functional Collaboration

• Collaborate with colleagues across product management, insights, design, and data science to develop great merchandising experiences
• Partner with regional teams to ensure merchandising configurations support local needs
• Work closely with the Senior Manager of Configurations to align on strategic priorities and technical direction
• Provide technical merchandising expertise to cross-functional teams and initiatives

*Qualifications*

Technical Merchandising Expertise

• 8+ years of experience in merchandising functions
• Experience in developing scaled merchandising modules/configurations for products; ideally, experience in building B2C merchandising configurations at a large organization
• Ability to grasp technical concepts quickly - including how merchandising 'works' (technical stack), how to innovate and develop new opportunities
• Experience in developing self-service tooling
• Experience in merchandising performance management a plus
• Experience in understanding recommendation systems a plus
• Past experience in product management or similar roles is a plus

Technical and Analytical Skills

• Strong technical problem-solving abilities with a focus on practical implementation
• Experience with merchandising systems and tool integrations
• Comfortable working with and analyzing data to derive actionable insights
• Ability to translate business merchandising strategies into technically driven solutions
• Knowledge of digital product development processes and content management systems

Communication and Collaboration

• Strategic, analytical thinker with a strong customer-focused mindset
• Excellent written (memos and presentations) and verbal communication skills; timely communication
• Ability to build strong relationships with stakeholders and effectively influence and contribute with concrete recommendations/next steps, across both regional and global teams
• Experience working effectively with technical and non-technical teams
• Skilled at explaining complex technical concepts in accessible ways

General

• Highly motivated self-starter with the ability to work independently and drive alignment amid ambiguity
• Comfortable applying a combination of qualitative and quantitative methods to define success
• Insatiable curiosity to learn new domains, keep up with industry innovation, and constantly ask 'why'
• Comfortable working in a fast-paced, dynamic environment with ambiguity

*Location of Work*

The Product Merchandising organization embraces flexibility in location of work with some employees working in a hybrid in-office model and some working remotely across the US. Please note that travel to the CA offices will be required for remote team members for key meetings as needed and occasional leadership and/or team gatherings. An expectation of availability to work PST hours is required, as many cross-functional partners are based on the West Coast.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $500,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Opportunity:

With the explosion of Internet TV, Netflix has grown to serve over 300 million paid subscribers in over 190 countries worldwide. The Cloud Infrastructure organization’s mission is to increase the fleet-wide agility, scalability, reliability, and efficiency of our Platform. We are responsible for one of the largest Cloud Network footprints built on AWS and constantly pushing boundaries on bleeding-edge technology with co-innovation in driving IPv6 at hyperscale.

We are looking for an experienced Software Engineering Leader who will lead and grow a team of software developers within the Cloud Network Engineering organization. This team is responsible for delivering secure, performant, and reliable connectivity and reachability through policy-driven cloud governance and observability software. The team provides Layer2 - Layer4 networking solutions that ensure consistent network scalability and secure traffic management throughout the Netflix ecosystem by writing software that abstracts AWS primitives and the complexities of resilience, security, routing, and insights. 

You will lead a stunning team of Software Engineers who tackle some of the largest cloud networking challenges in the industry. The team re-architects the approach to managing and exposing modern cloud connectivity/traffic features. You will own some of our key bets, ship overarching abstractions, and create APIs that enable Netflix developers to completely change how they interact with the products and infrastructure delivered by the broader cloud infrastructure organization.

This team has reliably enabled Netflix’s hyper cloud growth by co-innovating with AWS, driving technologies like IPv6, Hybrid infrastructure, and delivering eBPF-based products to create novel solutions to classic problems, like NAT64. If you’re looking for a deeply technical and highly dynamic opportunity that will have an outsized impact on how Netflix scales in the future, we’d love to talk to you!

What you will do:

• Own the Tier 0 network governance layer that determines how every Netflix workload connects, from placement and addressing through security group policy and firewall enforcement.
• Build, scale, and mentor a cohesive team of amazing engineers.
• Form strong cross-functional partnerships driven by trust to achieve alignment with many engineering teams and ensure our solutions meet their needs, while maintaining our focus on agility, scalability, reliability, and efficiency.
• Build Netflix's network observability capability, evolving eBPF-based flow capture and IP topology into a full L3/L4 visibility platform that engineering teams use to understand, debug, and secure their traffic.
• Drive the transition from per-service network configuration to opinionated, policy-driven defaults, making the secure path the easy path for thousands of microservices without requiring each team to be a networking expert.

What we are looking for:

• A product-focused leader who understands what customers want and has a passion for building critical infrastructure platforms.
• Leadership that treats Engineering process as a product, identifies friction in how the team builds, ships, and fixes software.
• Strong software development focus with past work abstracting away complexity and guiding teams to deliver simple, effective solutions to customers.
• Outcome-focused mindset and able to think from first principles.
• Experience building and operating complex distributed systems at scale. We use AWS, experience with building/consuming the networking stack of a public cloud is a plus.
• Shipping through organizational complexity. Proactively resolves cross-team dependencies, migration sequencing, competing priorities. Builds consensus and influences peer teams to move initiatives forward.
• Solid understanding of Layer3/Layer4 networking, and network security is a plus.
• Exceptional written and verbal communication skills.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $791,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Games are our next big frontier and an incredible opportunity for us to deliver new experiences to delight and entertain our quickly growing membership. You will be joining us at an exciting time as we roll out more games on both mobile and cloud and be in a position to help us redefine what a Netflix subscription means for our members around the world.

You will be joining the Games Data Science & Engineering team at an exciting time as we roll out more games on both mobile and cloud. This isn't a traditional data engineering role, we are looking for a hybrid engineer to bridge the gap between core software engineering and massive-scale data processing. You won't just be analyzing game data; you will be building the infrastructure that captures, validates, and transports it at a global scale. You will specialize in recognizing patterns and turning them into efficient, scalable frameworks usable by multiple teams. Your goal is to create shared abstractions that lower the barrier to entry for the entire Games organization.

What You'll Do:

• Build Telemetry Services: You will design and own Java/Spring Boot services that act as the gatekeeper for millions of global events, ensuring data integrity before it ever touches our core.
• Manage the Distributed Core: You will oversee the "journey" of data through a heavy-hitting stack including Kafka, Flink, and Spark into storage solutions like Iceberg, Cassandra, and Redis.
• Create Shared Abstractions: You will develop frameworks that evolve from data processing patterns into high-efficiency platforms, making it easier for others to build data-driven experiences.
• Architect the SDK Layer: You will write high-performance, multi-language code that bridges Unity/Unreal engines with our cloud infrastructure. Your code must be "invisible" to the game’s frame rate while ensuring 100% telemetry accuracy.
• Technical Leadership: You will proactively identify and resolve technical debt, increase automation, and champion best practices in data engineering and software development across the team. Mentor junior team members and help raise the technical bar for the entire DSE organization.

Who You Are:

• We value people over process and look for humbly confident, action-oriented collaborators with deep technical expertise.
• A JVM Expert: You have deep mastery of Java or Kotlin and thrive in a Service-Oriented Architecture.
• A Hybrid Specialist: You possess a software engineering mindset and view data engineering as a software discipline. You may even be a software engineer with a focus or passion for data-driven solutions.
• System Architect: You are proficient in System Design and Architecture and have experience with massive streaming pipelines and distributed storage.
• Scale-Obsessed: You have a background in building systems that require high fault tolerance and can handle high writes/reads per second.
• Stunning Colleague: You are a sharp communicator who can break down complex data problems. You relate to the Netflix Culture of Freedom and Responsibility, working independently while giving and receiving candid, constructive feedback.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are seeking an experienced L6 Data Scientist for the Games Portfolio Team to define and lead the technical strategy and execution for the Game Portfolio Team. This role is responsible for the technical leadership across the team’s core scope: developing the metrics ecosystem, driving incremental value research, establishing forecasting models, synthesizing audience insights, and defining transmedia impact frameworks. You will be the senior technical anchor, ensuring our data, models, and systems are robust, scalable, and provide the objective, timely insights that enable Games leadership to make informed decisions on investment, content scheduling, and overall portfolio strategy.

*In this role, you will:*

• Lead the overall technical vision for forecasting, metrics ecosystems, audience insights, and transmedia research.
• Own the development and operation of robust and interpretable models for pre-launch and post-launch forecasting.
• Empower the team to own metrics ecosystem, audience insights, and transmedia research, enabling the Netflix Games’ objectives as the business grows and evolves.
• Serve as the most senior technical resource, mentoring the team and fostering data science excellence.
• Act as a technical bridge and strategic thought partner to Games leadership, Finance & Strategy, Engineering, and sister DSE teams, ensuring production-grade data products.
• Proactively synthesize deep technical insights into clear, actionable findings for executive and senior leadership.
• Autonomously identify and pursue the high-impact research, making compelling, data-driven cases for resource allocation and prioritization across the portfolio space.

*Who Will Succeed in This Role:*

• Ph.D. in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 8+ years of relevant experience in a Data Science or ML role, with significant experience defining technical strategy and leading large, complex data science projects end-to-end.
• Proven experience serving as a Tech Lead, guiding other technical contributors and owning the technical quality, architecture, and roadmap for a product or data science area.
• Deep expertise in programming skills in Python, with proven experience building and deploying models and data pipelines at large scale using distributed systems.
• Expert-level knowledge of statistical modeling, causal inference, time series analysis, and applied machine learning techniques, with a portfolio of deployed models.
• Proven ability to simplify complex technical architecture and research findings into strategic insights for technical partners, cross-functional stakeholders, and executive leadership.
• Proven ability to translate ambiguous, high-level business goals into a coherent, scalable technical and analytical system.
• Proven ability to cultivate strong, dependable partnerships with cross-functional teams.

*Nice to Have*

• Experience leading the technical definition of core business metrics in the gaming, streaming, or subscription business models.
• Experience with building production-grade, large-scale ML systems, including MLOps best practices.
• Experience with solving business challenges with deep neural networks.
• Experience with GenAI applications to boost developer productivity.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $491,000.00 - $775,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*Summary:*

The Principal Product Manager, Payment Platform, leads the evolution and scaling of Netflix’s global payments infrastructure. This pivotal role ensures our platform remains robust, flexible, and ready to support high transaction volumes, new business models, and rapid market growth. You will set the vision and strategy for the platform, drive technical and operational excellence, and partner across the organization to enable seamless, secure, and innovative payment experiences for all Netflix members and business lines.

This role is central to supporting Netflix’s global growth, enabling new business models, and delivering seamless, secure payments at scale. By owning the payments platform, this leader ensures Netflix can rapidly innovate, enter new markets, and maintain industry-leading payment performance.

Location: This role can be based in our Los Gatos or Los Angeles offices, with a hybrid model. This role can also be remote-based on the West Coast. Travel will be required to our Los Gatos and/or Los Angeles offices.

*Responsibilities:*

• Set the strategic direction for the payments platform, ensuring it is scalable, reliable, and adaptable to new business models and global growth.
• Oversee the design, implementation, and continuous optimization of core payment platform components, including infrastructure, integrations, and developer-facing APIs.
• Lead efforts to improve platform scalability, performance, and reliability, proactively identifying and addressing bottlenecks.
• Manage and optimize integrations with payment providers, processors, and ecosystem partners to maximize payment success and revenue protection.
• Drive the adoption and integration of machine learning to enhance payment performance and help to develop the underlying platform leveraged for fraud detection and personalized payment flows.
• Collaborate with internal business lines to deliver flexible, reusable payments capabilities that accelerate innovation.
• Partner with cross-functional teams (engineering, finance, legal, product, data science) to ensure platform solutions meet compliance, security, and business requirements.
• Build strong relationships with external partners to stay ahead of industry trends, regulatory changes, and emerging technologies.
• Partner with other product teams as needed to ensure payment platform solutions seamlessly support new business initiatives and cross-domain experiences.

*Domain Qualifications:*

• 8+ years of experience in product management, platform engineering, and/or technical program management within payments.
• Deep understanding of global payment systems, payment processing infrastructure, and third-party integrations.
• Proven track record of scaling and optimizing large-scale, high-availability platforms.
• Experience with API-first product development and developer platform strategy.
• Familiarity with machine learning applications in payments (e.g., routing optimization, fraud detection).
• Strong understanding of regulatory, compliance, and security requirements for global payments.
• Experience leading cross-functional teams and collaborating with engineering, operations, finance, legal, and external partners.
• Ability to translate complex technical challenges into scalable, business-oriented solutions.

*Other Skills and Competencies:*

• Excellent communication, stakeholder management, and influencing skills.
• Strong analytical and problem-solving abilities; comfortable with data-driven decision-making.
• Outstanding organizational and project management skills, able to manage multiple priorities in a fast-paced environment.
• Strategic thinker with a bias for action and continuous improvement.
• High level of ownership, accountability, and attention to detail.
• Ability to mentor and develop talent, fostering a culture of collaboration and innovation.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $660,000.00 - $1,000,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business.

Our Team

The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server-side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.

The Creatives Team is building the robust, scalable backbone that powers all creative workflows across the Netflix Ads platform. The ability to scale how quickly advertisers are able to bring their creatives, get them processed, reviewed and deployed to reach the right member on our platform is crucial for our success.  This team will build out our creative infrastructure that works across our broadening supply sources (SVOD, Live and FTAB), enables scalability and sophistication (leveraging the best in class ML / genAI algorithms) and manages effective distribution for ad decisioning and serving even as we bring in more cardinality and flexibility of units that span a large variety of devices. 

This is a unique opportunity to contribute to a rapidly evolving space, enabling autonomy in the CTV marketplace.  If you're passionate about high-impact work, cutting-edge ad tech, and contributing to a global product, we invite you to help us define the next era of advertising at Netflix.

Skills & experience we’re seeking:

• Deep Expertise in Distributed Systems: Demonstrated experience designing, building, and maintaining highly available, fault-tolerant, and scalable distributed systems. This includes a strong understanding of concurrency, parallel processing, and microservices architecture.
• Fluency in at least one core Programming Languages - Java, Python or Go with a history of writing production-quality, well-tested code.
• Operational Excellence and Observability: Experience with setting up and maintaining comprehensive monitoring, logging, tracing, and alerting systems (e.g., using tools like Spinnaker, Prometheus, Grafana, or proprietary solutions) to ensure system reliability and quick diagnosis of issues.
• Proven Problem-Solving Capability:The ability to tackle complex, ambiguous technical problems and develop pragmatic, long-term solutions.
• Strong Collaboration and Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences. A history of successfully collaborating with cross-functional teams (e.g., Product Management, Design, and other Engineering teams) is necessary.
• Ownership and Drive:A proactive mindset and a strong sense of ownership over the entire software development lifecycle, from initial design through deployment, operations, and eventual deprecation.

Nice to Haves:

• Experience in the Ads Domain: prior experience building or operating infrastructure specifically for digital advertising, including creative management, ad serving, or campaign optimization platforms, is a significant advantage.
• Experience with creative lifecycle management and pipeline development.
• Experience with machine learning applications in advertising, particularly in ad review systems.
• Experience building large-scale infrastructure for real-time, low-latency online advertising environments.
• Knowledge of the CTV space and its unique constraints.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Our Team

The Ads Platform team at Netflix is dedicated to creating a world-class advertising ecosystem that drives our advertising business. This team's mission is to develop advanced technology that ensures exceptional experiences for both our members and advertisers. Our responsibilities encompass a broad spectrum of products, ranging from sales and media planning to optimizing advertiser outcomes and execution. This includes inventory and order management, campaign execution, ad serving, audience and identity management, measurement, reporting, and finance.

We use several Netflix investments and innovations - a unique mix of client and server-side ad insertions, state-of-the-art content delivery systems, ad encoding recipes, content understanding, and metadata, etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving so that members only see the most appropriate ads for them.

Our team is faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate us and become a market leader in record time. Our roles come with expectations of delivering in a rapid clip,  comfort with  lofty goals and big ambitions,   the visibility that comes with strategic initiatives, and  responsibility and an appetite to operate like a startup within an established company.

We are looking for a highly motivated leader to spearhead the development of our foundational Conversion API features. This new, dedicated team will focus on building zero-to-one Conversion API capabilities that are important to powering the future of Netflix Ads.

Skills & experience we’re seeking:

• Proven track record of leading engineering teams in the end-to-end design and operation of Conversion APIs, specifically handling server-to-server, pixel, and batch ingestion methods.
• Deep technical expertise in managing distributed systems that create gold data sets through identity enrichment, attribution logic, and complex deduplication.
• Hands-on experience managing teams working with real-time streaming technologies such as Kafka and Flink to process high-velocity event data.
• Comprehensive understanding of the programmatic advertising landscape, including how conversion signals power measurement, retargeting, and outcome-based optimization.
• Strong proficiency in navigating global ads regulations and ensuring all signal  ingestion is compliant with regional privacy laws and consumer consent choices.
• Ability to build strong relationships across diverse teams to align CAPI technical roadmaps with broader business goals and advertiser needs.
• Demonstrated ability to grow engineering teams in emerging domains and guide them through the ambiguity of a rapidly evolving ad-tech product.

Nice to haves:

• Familiarity with the implementation of Data Clean Rooms and multi-party computation for secure data sharing.
• Experience navigating the unique identifiers and technical constraints inherent to the CTV and streaming advertising space.
• Knowledge of integrating with sophisticated identity graphs that bridge fragmented advertiser signals.

Why Join Our Team?

• This is an exciting opportunity to join a newly formed team building business-critical, zero-to-one platform features.
• The Conversion API is central to Netflix Ads' data strategy, providing deeper insights into Netflix members and their customer journeys.

• By providing comprehensive conversion event data, you will empower Netflix to:

• Expand from upper-funnel brand advertising into full-funnel capabilities, including purchase measurement.

• Enable outcome-based optimization driven by advanced machine learning and AI models.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $791,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

About the Role:

We are looking for a Manager to join our Enterprise GenAI product team. Our mission is to empower every employee to do the best work of their lives through intelligent, AI-driven tools. The Enterprise GenAI team sits at the intersection of cutting-edge AI capabilities and the day-to-day work that keeps Netflix running at scale. This role will play a key part in defining and executing the strategy for our agentic future, while partnering closely with stunning colleagues across engineering, design and partners. 

We are looking for a dynamic, experienced individual with deep AI fluency and a passion for business transformation. You’ll lead a small team of PMs while staying hands on as a Product Manager – defining strategy, driving execution, and internal GTM strategy. 

About You:

You are curious, hands-on, and thrive in ambiguous spaces where the problem isn’t yet fully defined and the path forward requires both creative thinking and rigorous execution. You are genuinely excited about the potential of generative AI - not as a buzzword, but as a tool that can meaningfully change how people work.

You lead with empathy and humility. You are selfless in how you work – not attached to your own solutions, but committed to shared outcomes. You earn trust by rolling up your sleeves, getting into the weeds with business teams, and demonstrating through action. You know that the best ideas can come from anywhere, and you create the conditions for them. At Netflix, great work happens through trust and influence. You’ll work across engineering, data science, security, legal and more. 

Responsibilities:

• Build strategic roadmaps, taking GenAI product concepts from idea through validation, GTM, measurement, and iteration
• Establish a strong team culture and help PMs navigate ambiguity and complexity by modeling strong product thinking – how to frame problems, build alignment, and make decisions with incomplete information
• Communicate complex AI and LLM concepts and technical trade-offs clearly to non-technical stakeholders, executive audiences and cross-functional partners
• Scan industry landscapes and trends and bring new ideas to the table
• Lead product rollout or GTM strategy across the entire enterprise – you must be comfortable with leading company-wide enablement and transformation
• Partner with engineering, data scientists, design, security and legal to define guardrails, governance and strategy for the future of agentic
• Have a deep understanding and empathy for a broad range of internal customers

Requirements:

While no candidate will check every box, we are looking for a seasoned Product leader with a proven track record of success 

• 8+ years of product management experience, including at least 1-2 years managing other PMs, with a proven record of shipping impactful products
• Intermediate or advanced knowledge of generative AI and machine learning, including LLMs, RAG, MCPs and agentic system design – and strong instincts for build v. buy
• Demonstrated experience leading end-to-end products from 0 to 1 and scaling them within complex organization
• Ability to mobilize an entire organization towards a common goal and build strong relationships across functions and offices
• Exceptional written and verbal communication skills; comfortable presenting technical and complex information to all audiences
• Proven ability to lead people thoughtfully – developing PM talent while staying hands-on with strategy and execution
• Experience building products for internal enterprise users is a plus
• Self-directed and comfortable operating in a decentralized, fast-paced environment

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $650,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Title & Launch Management Data Science and Engineering team is at the forefront of driving operational and creative excellence in how we launch and promote content. We build highly automated systems that power the launch of new content formats, such as fast‑follow local broadcasts and video podcasts, and help members discover titles they’ll love. Our interdisciplinary team sits at the intersection of rigorous measurement, advanced analytics, and the latest AI/agentic solutions that enable the ingest, setup, launch, and global distribution of all types of entertainment on Netflix.

We are seeking an experienced leader to lead a multidisciplinary team of analytics engineers, data scientists, and machine learning scientists and engineers who build the data products, algorithms, and systems that power title launch. You will guide a highly talented team and partner closely with cross‑functional teams to support Netflix’s growing content offerings and partnerships by automating large‑scale content ingestion and replacing manual processes, developing a flexible, federated system that enables efficient, scalable, and self‑service content ingestion as Netflix continues to grow.

Responsibilities

• Oversee a diverse portfolio of end-to-end efforts to design, deploy, and rigorously evaluate autonomous AI solutions, advancing Netflix’s title launch strategy and supporting our rapidly expanding slate of content.
• Coach, empower, and elevate a team of analytics engineers, data scientists, and machine learning practitioners, increasing their impact and supporting their career development.
• Collaborate with a cross-functional team to shape the vision and roadmap for the area, prioritize and drive execution.
• Define and cultivate a high standard for both velocity and technical excellence, while nurturing a culture grounded in strong engineering and scientific rigor.
• Leverage advanced technical skills and deep product and domain insight to surface new problem spaces and make bold, high-conviction decisions.
• Cultivate durable partnerships with stakeholders across product, engineering, and content to align on long-term goals and jointly deliver outcomes.
• Act as a visible leader and subject-matter expert, advocating for the team’s work and strengthening its reputation across and beyond Netflix.

About you

• Proven track record of successfully leading data and ML-focused teams, with a strong emphasis on rigorous measurement and agentic/AI-driven solutions.
• Deep expertise in autonomous agentic systems and applied ML, with a demonstrated commitment to staying current on the latest research and having led teams that launch and iterate on production ML services.
• Passion for guiding teams through ambiguous, complex technical and business problems, bringing clarity, structure, and disciplined execution.
• Strong track record of mentoring and developing talent, including successfully recruiting and growing researchers and engineers across multiple levels.
• Master’s or PhD in Machine Learning, Computer Science, or a closely related field.
• 6+ years of hands-on ML experience (or 4+ years with a relevant PhD).
• 2+ years of experience leading ML teams.
• Exceptional verbal and written communication skills, with the ability to influence and align diverse stakeholders.
• Deep commitment to driving end-to-end business impact, not just building models.
• Netflix culture resonates with you, and you’re excited to model and reinforce it within your team.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We’re seeking a passionate engineering leader to spearhead the technical vision and application of Gen AI across our games organization. This role will drive GenAI initiatives across the Games organization, ranging from core infrastructure, to giving teams GenAI superpowers, to supporting entirely novel gameplay experiences for our members.

Key Responsibilities

• Drive the overall engineering strategy for GenAI in Games.
• Support Gen AI across our portfolio and studios, both in the creation of new experiences and improving our workflows and pipelines.
• Lead an organization of engineers, technical designers, and technical artists to experiment and innovate on game-aligned collaborations and exploratory bets.
• Engage with game teams to develop prototype features and AI-native gameplay mechanics, ensuring technical viability.
• Partner with external researchers, developers, and companies that are pioneering work in the Gen AI space.
• Stay on the forefront of AI research and emerging tools, separating hype from high-leverage opportunities that align with our development and player goals.
• Collaborate with our engineering and platform teams to build robust solutions and scale core capabilities (e.g., model inference, fine-tuning pipelines, data infrastructure, etc).

Qualifications

We're looking for a technical leader who deeply understands the unique landscape of game development and can strategically apply AI/ML to create impactful and transformative player experiences.

• Games industry experience, demonstrating a comprehensive understanding of the end-to-end game development lifecycle, from concept to live operations. You should be passionate about games and the future of interactive entertainment, with direct involvement in shipping multiple titles.
• Proven experience leveraging AI/ML in a product environment, with at least the last 2-3 years leading or significantly contributing to Generative AI initiatives (LLMs, diffusion, multimodal systems).
• Familiarity with AI/ML fundamentals, including core concepts, common ML problems and algorithms, and the end-to-end ML lifecycle (data collection, model training, deployment, monitoring).
• Deep understanding of the Gen AI ecosystem – open models, data requirements, infrastructure and tooling, safety frameworks, and the trade-offs between hosted and in-house solutions.
• Comfortable navigating from research prototypes to production-ready systems in a fast-paced, cross-functional setting, in partnership with engineering and AI research teams and game studios.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000.00 - $550,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Content & Business Products (CBP) Overview:

The Content & Business Products (CBP) teams are fundamental to Netflix's mission to entertain the world. This organization is responsible for building the products and services that optimize and automate the entire content creation lifecycle, from initial concept and financial planning to global launch and promotion.

CBP is the engine behind "pitch to play," enabling our teams to create, manage, and distribute content at scale. In addition, we build and maintain critical enterprise products that ensure efficient operations across key internal departments, including Finance, Talent, and Customer Support.

Our Team: Studio Production Engineering

Studio Production Engineering builds and operates the technology that powers Netflix’s content journey from pitch to post. Our team delivers robust infrastructure, media management, and workflow solutions for everything from evaluating pitches and managing deals to orchestrating petabytes of production media, scheduling releases, and supporting post-production processes. We enable data-informed decision-making for content executives, support global studio operations, and pioneer new workflows with Generative AI—all while ensuring seamless integration across Netflix and its subsidiaries.

We are looking for a Technical Program Manager with a background in studio or media tech infrastructure and/or Generative AI/ML platforms to drive high-impact, cross-functional programs. This role requires strong collaboration with product, engineering, data science, and senior leadership to execute complex, strategic technology programs across the studio.

Responsibilities:

• Lead multiple complex, cross-functional technical programs focused on foundational studio infrastructure, including hardware provisioning (workstations, render nodes), cloud tenant setup (compute, storage, network), and large-scale data migration initiatives.
• Provide deep domain expertise to form technical strategies for migrating and modernizing studio production environments, including large datasets across various storage and cloud solutions.
• Drive and manage the technical integration of third-party creative and infrastructure software onto Netflix's corporate platforms.
• Scope and lead the execution of Generative AI/ML initiatives, working with engineering and data science partners to identify high-value use cases and productionize new AI platform capabilities, such as access to advanced LLM/ APIs.
• Drive engagement with cross-functional partners, work to decompose requirements into technical execution plans with measurable milestones, effectively optimize scope and schedule, manage cross-functional dependencies, and proactively manage risks, particularly around Day 1 readiness for complex tech integrations.
• Craft clear communication of progress toward goals, reporting status to stakeholders and leadership, translating complex technical challenges into clear business implications.

Requirements:

• 7+ years of technical program management experience.
• Must have domain experience in Studio Technology Infrastructure, Media Production Pipelines, or Generative AI/Machine Learning Platform delivery.
• Preference for candidates who have managed programs involving large-scale data migration, cloud infrastructure (AWS, CoreWeave, GCP), and high-performance computing/rendering environments.
• Proven experience driving large-scale software and infrastructure projects, managing the definition of technical strategies, and building long-term scalable solutions.
• Deep understanding and point of view on the application of Generative AI/ML to creative and production workflows.
• Highly skilled, experienced, and enjoys orchestrating multiple programs with many moving parts and creating partnerships with cross-functional teams.
• Able to identify gaps in solutions, debate technical approaches and weigh in on product vs. technology tradeoffs
• Excellent written and verbal communication skills, including the ability to clearly articulate business impact and technical constraints tailored to the audience.
• Self-starter who enjoys tackling 0 to 1 problem spaces and quickly bringing organization and direction.
• Exemplify the Netflix culture by understanding, advocating, and demonstrating its values.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $290,000.00 - $460,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

About the team:

The Sales Solutions Team serves as a strategic overlay to client, agency sales, and account management teams, specializing in client technology integrations, audience-driven media strategies, and programmatic media sales spanning client direct, agency, and reseller/aggregator business segments. This team ensures a seamless connection between data strategy, media activation, and revenue growth by providing innovative, data-driven advertising solutions in collaboration with cross-functional teams. Together, this team ensures that advertisers can effectively leverage audience strategies with Netflix advertising products to drive client success and grow programmatic budget allocations.

About the Role

The Sales Solutions Lead (Technology Integrations) is a strategic and technical operator specializing in data collaboration, clean room integrations, and the application of technology for privacy-enhanced advertising use cases, including media planning, activation, and campaign measurement. This role is a consultative, commercial role designed to bridge the gap between our technical capabilities and client business outcomes. The Lead will conduct client discovery and recommend the optimal integration path, and manage the solution implementations of our Key and Growth accounts. The Lead role drives client discovery, advises on the best integration strategies, and oversees the solution implementation for our Key and Growth accounts. This role connects technical adoption of Netflix products and solutions with business outcomes, empowering advertisers and agencies to unlock advanced media planning, campaign activation, and measurement use cases.

You will partner with clients, agencies, and internal stakeholders to implement Netflix technical solutions, including data clean rooms, APIs, and other approaches to data integration. Sales Solutions Leads are the primary technical point for Advertisers and Agencies, ensuring our privacy-centric solutions and automation tools drive revenue and demonstrable performance.

Key Responsibilities

Data Collaboration Strategy & Technical Leadership

• Serve as subject matter expert on clean room integrations (Snowflake, AWS, InfoSum, Databricks, LiveRamp/Habu, etc.).
• Lead technical integration discovery and requirements gathering with clients and agencies to align business needs and technical solutions. This includes adopting a client-centric approach to fully understand a partner's data infrastructure, tech stack, and current data strategies and advising on the optimal integration path.
• Own qualification and recruitment for alpha, beta, and general availability launches in partnership with cross-functional business stakeholders
• Develop reusable patterns, playbooks, and best practices for scalable, privacy-first activations.

Sales Enablement & Client Engagement

• Translate data capabilities into actionable strategies for advertisers.
• Guide clients and agencies through technical decisions, offering best practice recommendations to maximize business impact.
• Present clean room and agency platform integration strategies that drive adoption and ad spend.
• Develop technical documentation and implementation guides to enable commercial teams and clients.
• Drive adoption of new product features, tools, APIs, and integrations.

Technical Excellence

• Collaborate with Product Management to define client and agency requirements, prioritize future Product capabilities, and define custom integration requests.
• Partner with Product and Integration Engineering counterparts on solution implementation to ensure delivery against defined technical designs and desired business outcomes.
• Manage the technical onboarding for advertisers and agencies into Netflix’s DCR and ensure the  successful implementation of Netflix APIs.
• Scope advertiser and agency audience data requirements and provide technical guidance enabling privacy-safe collaboration on 1st party data assets.

Cross-Functional Collaboration

• Act as a trusted partner to internal stakeholders, work collaboratively across many different teams.
• Share technical learnings and market feedback across teams.
• Serve as the first line of defense for technical troubleshooting and own the escalation path by documenting and communicating issues directly to Integration Support.

Qualifications

• 8+ years in data strategy, ad tech, ad measurement, or clean room integration, with at least 5 years of experience leading solution design and implementation for enterprise or large-scale advertising clients.
• Data Collaboration & Privacy: Expertise with data clean rooms (DCR) and PET principles. Strong knowledge of data clean room technologies and privacy-first audience activation with firsthand experience leveraging at least one of Snowflake, AWS, Databricks, LiveRamp/Habu, Google Ads Data Hub, Amazon Marketing Cloud (AMC).
• Data Strategy & Identity: Proficiency in first-party data strategies, identity resolution, and measurement frameworks and methodologies. Experience with audience driven media strategies and the distribution of data in both batch and real-time environments.
• Technical Skills (Data & Cloud): Strong SQL skills preferred. Ability to understand and scope custom query requests.  Familiarity with at least one public cloud (AWS, Google, Microsoft) and common data formats, pipelines, and ETL.
• API Expertise: Experience in implementing scalable API-based solutions for advertising or marketing use cases. Comfort interpreting and communicating API specifications. Proficient in leveraging partner-specific Audience and Conversion APIs.
• Domain Knowledge: Familiarity with agency tools and systems used for planning, buying, and measurement. Familiarity with data privacy regulations (GDPR, CCPA) and related best practices.
• Soft Skills: Ability to foster technical knowledge sharing. Excellent client-facing presentation and consultative selling skills. Strong communication skills and ability to work cross-functionally with product and engineering, legal, and marketing teams.

The overall market range for roles in this area of Netflix is typically $320,000.00 - $440,000.00. A portion of this compensation is variable.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*Strong Recommendation: *Please submit a portfolio in your application (with the password)*

The Role

We recently launched a new ad-supported tier to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply immersed.

To help us deliver this compelling experience, we’re looking for a highly ambitious, visionary, and experienced Staff Product Designer who will help enable our global Ad tech suite – solidifying Netflix as the premier destination for brands to reach a premium, highly engaged audience. Additionally, you will enable an emerging era of CTV advertising innovation – developing systems that optimize ad performance and engagement.

Your work will also be essential to delivering a delightful, engaging, and highly relevant Ads experience for our Netflix members.

This will be a hybrid role, with a flexible work-from-home schedule. However, onsite attendance will be required as needed by the business - as often as weekly. This role would be best for candidates located in California or in the Pacific time zone, as monthly in-person travel will be required to collaborate with stakeholders and partners in Los Angeles, CA and Los Gatos, CA. That said, we can always make exceptions in location for the right candidate - with flexibility to accommodate candidates at Netflix’s New York City hub.

About Our Team

Our Ads Experience Design team designs the experience, technology, workflows, and capabilities that power Netflix’s advertising business. The Ads Platform Design team designs the tools, features, applications and flows for end-to-end ads lifecycle.  Our Ads Platform is comprehensive, best-in-class and rapidly growing, thus enabling highly performant and optimal advertiser-centric experiences. 

Our team’s primary superpower is the ability to design creatively and collaboratively in highly complex environments – from core services that power Netflix’s streaming technology to industry-leading partnership platforms.

You’ll be one of the staff designers who designs the ads workflows and core capabilities that power Netflix’s advertiser experience. More specifically, you’ll be a critical part of one of the most talented and trailblazing advertising design teams in the world.

Why You’ll Love Our Team

• We’re big on individual responsibility and smart on process.
• Work with stunning, supportive designers on problems that matter.
• Flexibility to balance work-from-home and in-office work, so long as you’re able to be onsite for meaningful moments of collaboration.
• Freedom and flexibility to craft your own design workflow, while harnessing Netflix’s world-class design system and tooling.
• Meaningful financial support for further education and professional growth.
• An inclusive environment to help you do your best work and feel genuinely supported.

What You Will Do

• Use strong storytelling to create a clear understanding of the UX strategy with  cross-functional teams. Apply big-picture thinking to break down ambiguous opportunities into actionable roadmaps.
• Collaborate with cross-functional teams spanning sales, marketing, research, data science, product management, and engineering to develop and iterate upon new concepts and facilitate product execution.
• Identify, research, design, and execute business differentiating features for Netflix’s advertising suite.
• Craft strategic design briefs that provide business, design, and engineering clarity for critical initiatives.
• Influence ads business strategy by developing a deep understanding of end-to-end advertising ad tech experience, ensuring our ads platform experience aligns with Netflix’s broader business ecosystem.

What We’re Looking For

• A strong, strategic leader able to work across various strategic and tactical levels, rapidly sketching and prototyping.
• Innate curiosity to understand needs across the business and develop solutions that address core needs, while thriving in ambiguity and a fast pace.
• Work across all stages of the design process (user research, ideation, concept development, validation, wireframing, prototyping, final visual design, and implementation support).
• Partner with PMs to craft systematic solutions that connect the dots between user needs, data, business goals, and business strategy. Facilitate collaborative work sessions with all levels of company stakeholders.
• Domain familiarity with advertising technology best practices - you’re comfortable with advertising nomenclature, operations, and Live streaming technology.
• A passionate energy for great design and amplifying our team culture.
• 15+ years as a Product Designer (or equivalent experience) in the B2B2C space, leading high-impact initiatives from concept to execution in technical business areas.
• 5+ years as a Product Designer working specifically in advertising or ads adjacent industries.
• A versatile portfolio that showcases deep interaction and problem solving skills, specifically case studies that demonstrate expertise and leadership solving complex business platforms.
• Understanding of complex workflows designed to scale across diverse, global operations teams.
• Excellent verbal and written communication skills that excite stakeholders and articulate a vision.
• Highly organized with meticulous attention to detail (e.g writing documentation to support your design decisions).

Even Better:

• Ad tech domain expertise: you’ve developed expertise in delivering advertising technology to a global audience.
• Experience working with complex internal systems, data platforms, and highly technical environments (like API platforms).
• Experience leading design strategy for B2B2C advertising ecosystem (e.g. influencing product direction through the lens of experience design).

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $460,000.00 - $710,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Ads Data & Insights team's mission at Netflix is to help build the foundation of the Ads business. We design effective metrics, conduct analyses and develop analytic tools, and build predictive models and algorithms using machine learning - all with the goal of creating more choices and joy for our members.

We are seeking a Senior Analytics Engineer to lead the development of a unified revenue analytics narrative and strategy for Netflix’s global Ads business. Building upon our growing data infrastructure, we need an end-to-end owner to operationalize core revenue datasets and drive the overarching business narrative. In this highly impactful role, you will build the semantic models, executive dashboards, and analysis frameworks that drive how we measure, reconcile, and communicate revenue across diverse stakeholder groups.

As a subject matter expert, you will play a pivotal role in shaping the analytics vision for revenue measurement. You will take foundational revenue definitions and champion them across Finance & Strategy, Revenue Accounting, and Product. This is an open opportunity to explore how we measure and think about revenue across the entire Ads business—empowering Netflix to deliver accurate, transparent, and timely insights that cascade into key downstream performance metrics.

What You Will Do:

• Lead the analytics vision for unified revenue measurement across Netflix Ads, designing and implementing frameworks to harmonize, quantify, and report on diverse revenue streams, including new content formats Netflix is launching, like Live and Free-to-air Broadcasting.
• Act as the lead Semantic Architect for revenue, driving consensus across F&S, Accounting, and Product, and codifying those agreed-upon definitions into the Ads Metrics Catalog (AMC) and our underlying semantic models.
• Build scalable, transparent data models and dashboards—in partnership with Data Engineering—that provide real-time and periodic insights into revenue streams, metric definitions, and the impact of adjustments, supporting daily operational needs and strict financial and SOX compliance reporting.
• Drive the narrative around how core revenue definitions impact downstream performance metrics (like CPM and CPS), conducting deep-dive research to explain the why behind metric movements.
• Act as a subject matter expert in revenue analytics, piloting scalable solutions for complex treatments (e.g., invoice discounts, agency fees, FX rates, makegoods, and integrated marketing fees), and driving innovation and transparency in how Netflix measures and communicates advertising revenue.
• Serve as the integration layer for revenue data. While partner teams may own localized source data (Sales, Live, etc.), you will be responsible for aggregating, harmonizing, and exposing the overarching executive revenue views in core reporting surfaces.

What You Bring:

• Experience working with financial datasets, revenue accounting, or ad-tech monetization analytics.
• A “Data Product Owner” mindset. You are comfortable with ambiguity and recognize that defining the metric across a matrixed organization is just as important as writing the code to build it.
• Communication superpower — the ability to communicate, influence, and connect the dots between insights and actions across a variety of stakeholders.
• Fluency in SQL, workflow orchestration tools like Apache Airflow, and at least one analytics and scripting language like Python.
• Mentors, brainstorms with, and enables others, especially within your functional area.
• A proven track record of balancing the need to move quickly with the high rigor and accuracy required for executive and financial reporting.
• Strong analytical rigor combined with the ability to conduct independent research and explain complex metric variances to senior leadership.
• Experience building or working with semantic modeling tools like LookML for creating and managing metric contracts is a plus.
• Curiosity or practical experience building with emerging AI technologies (e.g., Agentic AI) is a plus.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we partner with creators as they experiment with a range of cutting-edge tools that bridge innovation with imaginative storytelling. Come join Inkubator to shape what’s next and explore the creative possibilities.

*POSITION SUMMARY:*
We are seeking Software Engineers to join our pioneering team at INK.  INK is looking to provide an environment for artists to produce animated shorts and specials by experimenting with a range of tools and production pipelines that leverage AI.  This role will help build enterprise-wise technology and platforms that support INK's artist-led production environment.

What you’ll do

• Help build enterprise-wise technology and platforms for INK to support scalable GenAI-native production across shows.
• To support artists and technical directors on shows, evaluate internal and external algo developments in the context of creative requirements.  Package successful workflows for use by other artists across the studio.
• In collaboration with Netflix infrastructure teams, help define artist distributed compute and workstation requirements.   Ensure proper API support for Technical Directors to customize per-show or craft last mile integration.
• Prototype and test new workflows in real production scenarios, gather feedback from artists, and iterate to improve usability and performance.
• Establish and maintain studio standards around generated assets and materials from the artists.  Develop and maintain tools for artists that navigate and manage generated materials.
• Maintain the studio production tracking and review toolset.  Enable tooling that ensures standardized workflows across productions.
• Support Technical Directors and Artists with development and tooling.  Provide tooling around common show environment and standardization and, where appropriate, APIs to Technical Directors to integrate show-specific solutions.
• Provide infrastructure monitoring tools and reports detailing HW and SW usage.
• Collaborate with infrastructure and security teams to ensure systems are reliable, secure, and compliant across projects and use-cases

What you need

• Working knowledge of scalable inference and training technologies.   But more importantly, demonstrated ability to stay current with the highly dynamic and changing landscape of tools.
• Ability to identify common workflow needs and requirements and develop standardized solutions that scale to multiple shows.
• Familiarity with modern and emerging software development technologies (e.g. Claude Code) and the ability to develop and integrate scalable workflows that leverage Netflix internal solutions.
• Excellent communication skills and ability to translate show-based solutions into common deployable workflows.
• Familiarity with the complexities of building and maintaining secure systems that manage multiple show working environments.

This job is based in the US.

At [INK], we carefully consider a wide range of compensation factors to determine your compensation. We rely on market indicators and consider your specific job family, background, location, skills, and experience.   The overall market range for this role is typically $388,000 - $515,000.  This reflects total compensation; we do not have bonuses.

Depending on whether you are covered by a collective bargaining agreement, INK benefits can include medical/dental/vision plans, mental health support, retirement programs, and family-forming benefits, paid leave of absence programs, and paid time away programs to be used for vacation and sick paid time off.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Our Netflix’s Engineering organization builds the foundation that powers one of the world's most complex cloud environments. Within this organization, the Observability team is responsible for the "nervous system" of our platform—the tools and systems used to monitor health, detect anomalies, and troubleshoot issues at a massive scale. We focus on reducing "time to insight," transforming vast amounts of system data into intuitive, actionable experiences that minimize cognitive load for engineers. By streamlining how our teams understand and resolve complex system behaviors, we ensure our infrastructure remains resilient so we can focus on what truly matters: entertaining the world.

The Opportunity

We are looking for a Senior Product Designer to join our Observability team and lead the design strategy for our mission-critical telemetry platform. Our systems process massive volumes of logs, metrics, and traces; your goal is to transform this sea of data into a cohesive, intuitive experience that empowers engineers to solve problems faster.

In this role, you will move beyond traditional dash-boarding to focus on "Time to Insight." You will design the tools that help engineers navigate complex cloud infrastructure, turning fragmented signals into a clear story of system health, performance, and reliability.

Working closely with product managers and engineers, you'll shape critical initiatives including:

• *Accelerating Troubleshooting:* Design guided analysis workflows and AI-assisted troubleshooting experiences that help engineers find the "needle in the haystack" across distributed systems.
• *Unifying the Ecosystem:* Break down silos between disparate tools. You will establish a consistent design language and navigation patterns that allow for a seamless flow between querying, visualization, and alerting.
• *Actionable Intelligence:* Evolve monitoring systems from simple data displays to high-signal experiences that provide contextual insights and clear paths to remediation.
• *Paved Road Observability:* Create interfaces that surface insights earlier in the development lifecycle, helping teams identify regressions and performance bottlenecks before they reach production.
• *Complex Data Visualization:* Develop innovative ways to visualize infrastructure relationships, dependencies, and cost-efficiency opportunities.

This unique opportunity allows you to not only shape our design practices but also redefine the monitoring and troubleshooting experience for one of the world's most innovative companies. If you're looking for a dynamic role where you can transform complex system signals into intuitive workflows that help engineers detect, understand, and resolve issues faster than ever, we'd love to talk to you!

What You Will Do

*Design Vision and Strategy*

• *Define the User Experience:* Shape the end-to-end design for our internal developer tools, creating intuitive workflows that help engineers understand complex systems and stay productive.
• *Scale Through Systems:* Lead the creation and adoption of flexible design patterns and components built for data-dense interfaces, ensuring a cohesive look and feel across our entire technical platform.
• *Turn Complexity into Clarity:* Use research and logic to simplify deeply technical concepts, transforming raw data into clear, actionable stories that help teams make better decisions.
• *Design for Impact:* Identify high-value opportunities to improve how our engineers work, using a mix of user feedback, technical insights, and design intuition to prioritize your efforts.
• *Promote "Paved Paths":* Design smart defaults and guided experiences that reduce cognitive load, helping users move quickly and safely without needing to be experts in the underlying infrastructure.
• *Measure and Iterate:* Partner with product and engineering to define what "good" looks like, establishing experience metrics that help us continuously improve the usability of our tools.
• *Anticipate Needs:* Look around corners to identify emerging problems, helping the team frame technical challenges through a human-centered lens early in the process.

*Design Leadership and Execution*

• Drive end‑to‑end design for interdependent workflows
• Craft and validate prototypes that effectively communicate solutions
• Establish scalable design practices and foundational patterns
• Scope and negotiate realistic deliverables with partners
• Mentor designers and partner teams; help grow shared understanding and adoption of effective design practices

*Cross-functional Collaboration*

• Co‑create strategy with product and engineering leadership to drive critical initiatives for your product area
• Facilitate workshops with technical stakeholders; build consensus on implementation, trade‑offs, and sequencing
• Articulate compelling design solutions and decision rationale to senior leadership, connecting technical challenges to business outcomes
• Lead through influence across teams to ensure coherent, cross‑surface experiences (UI, IDE/CLI, APIs)

What We’re Looking For

If you’re excited about this role but don’t meet every single requirement, we encourage you to apply. We value potential, transferable experience, and a learning mindset.

*Essential Experience and Skills*

• 5+ years as a Product Designer (or equivalent experience)
• Experience designing monitoring and observability interfaces, developer tools, or analogous complex technical products
• Strong portfolio showing system‑level product work and the impact of your design leadership, including initiatives that span multiple teams
• Proven track record of leading design initiatives from concept to launch
• Proficient in design tools (Figma, etc.) and prototyping technologies
• Strong systems thinking and ability to design scalable solutions for complex technical challenges

*Leadership and Collaboration*

• Successfully led design strategy for complex technical products
• Proven track record of influencing and aligning cross-functional partners without direct authority
• Ability to navigate ambiguity, create clarity, and move complex initiatives forward with partners
• Excellence in communicating design decisions to technical audiences
• Demonstrated success in mentoring designers and improving team practices
• Strong ability to work autonomously and drive initiatives independently
• Skill in sequencing and communicating long-term vision through incremental steps
• Ability to collaborate effectively with engineers (coding skills not required)

*Technical Understanding*

• *Developer & Operator Empathy:* Literacy in software engineering workflows (e.g., Git-based configurations, CI/CD, and CLI-first interactions). You understand the mental models of engineers who spend their time in IDEs and terminals.
• *Telemetry & System Health:* A conceptual understanding of how technical teams monitor systems using metrics, logs, and traces. You can translate raw system signals into a coherent story of performance and reliability.
• *High-Density Visualization:* Strength in designing system-oriented interfaces—such as service topologies, dependency graphs, or flame graphs—that remain legible and actionable even at massive scale.
• *Operational Awareness:* Familiarity with core reliability concepts like SLOs/SLAs, error budgets, and health signals, and an understanding of how these "trust signals" influence engineering decisions.
• *Troubleshooting Workflows:* An ability to design for high-pressure environments, focusing on reducing "time to insight" by prioritizing the most relevant information during an incident or investigation.
• *Collaborative Systems Thinking:* Experience partnering with engineers to understand complex backend architectures (like distributed systems or cloud infrastructure) and simplifying them into intuitive frontend experiences.
• *Applied Intelligence (A Plus):* Experience or interest in using AI/ML to enhance technical workflows, such as automated anomaly detection, conversational querying, or guided root-cause analysis.

*Values*

• Continuous learner passionate about design excellence and culture
• Self-motivated and autonomous
• Mature approach to giving and receiving feedback
• Collaborative and ego-free in technical discussions
• Comfortable with ambiguity and driving clarity

More About Infrastructure Engineering @ Netflix

• MIT CODE 2024 Practitioners Panel: Design & User Experience Perspectives (video)
• Netflix’s Distributed Counter Abstraction (techblog)
• Unifying the Netflix engineering experience with a federated platform console (video)
• Incremental Processing using Netflix Maestro and Apache Iceberg (techblog)
• Lessons from designing Netflix’s experimentation platform (video)
• Full Cycle Developers at Netflix -- Operate What You Build (techblog)
• Netflix Data Engineering Summit (techblog)

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is . This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*The Team*

The Security and Privacy Technical Program Management team is a force multiplier; we partner closely with engineering and product teams across Netflix to deliver results. We collaborate cross functionally to align on strategic goals and vision, and then we work with the right stakeholders to establish and drive impactful initiatives.

*The Role*

We are looking for a Technical Program Manager to join our Data Protection program! In this role you will partner closely with the Privacy and Data Protection Engineering team to reduce data risks, ensure regulatory compliance and foster a responsible data culture across Netflix. 

This role is a unique opportunity to build on your prior expertise in privacy and data protection. You will work with an established team of privacy and security engineers to identify, develop and drive the development and adoption of various data management capabilities across multiple data platforms, which will be used by product and central engineering organizations. In this role you will navigate through complex technical and operational challenges in capability development and adoption across areas such as data inventory and classification, access control, retention, encryption, de-identification and many more.

The ideal candidate is skilled at both program strategy and execution supported by a strong  technical domain expertise in privacy and data protection. You might come from a software or data engineering background, or otherwise have deep technical expertise on data management systems and solutions at scale. In this role you will have the freedom to innovate, solve challenging problems with a great team of domain experts and impact the business in a meaningful way. If you're up for the challenge, we'd love to hear from you!

Desired Background:

• You’re passionate about privacy and data protection!
• You’re familiar with technical Data Protection or Governance programs, all the way from policy creation to control implementation and user support.
• You’re able to identify gaps in solutions and debate technical approaches for data inventory and classification, access control, data retention and various Privacy Enhancing Technologies.
• You have experience driving large-scale technical initiatives on shared infrastructure platforms and managing the definition of technical strategies.
• You have excellent written and verbal communication skills, including clear articulation of business impact and technical constraints tailored to the audience.
• You are able to triage multiple initiatives to make a judgment to tackle the right problems at the right time.
• You’re comfortable operating in ambiguous and fast-paced environments.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $420,000.00 - $630,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Team

The Studio Media Algorithms team is at the forefront of algorithmic innovation to enhance and support the creation of Netflix’s entertainment content, including games. In this role, you will be embedded within this team while collaborating very closely with a specialized Games Studio R&D team. This incubation-style team is chartered to lead our investments in building new kinds of games leveraging emerging technologies to support our creators and reach player audiences in new ways.

The Role

We are looking for a Machine Learning Engineer with a focus on MLOps, deployment, and performance optimization to help bridge the gap between research and production in the gaming space. You will work cross-functionally with games technical directors, designers, and scientists to ensure that novel AI-driven game concepts can be deployed efficiently across a variety of hardware environments.

In this role, you will:

• Build and maintain MLOps pipelines: Develop robust CI/CD for ML, model registries, and automated deployment workflows to support rapid iteration.
• Optimize for performance: Profile and benchmark models across cloud GPUs and edge devices (e.g., Nsight, PyTorch Profiler) to identify bottlenecks and implement hardware acceleration.
• Scale deployment: Design and implement model deployment strategies for both Cloud and Edge environments, ensuring efficient, low-latency execution in game runtimes.
• Enhance model efficiency: Apply precision tuning and quantization techniques to  meet latency, cost, and memory constraints without significant quality loss.
• Collaborate on integration: Work with game engineers to integrate ML models into game engine pipelines and APIs.

About You

• MLOps & Deployment Expertise: Proven experience with model registries, containerization, and building end-to-end CI/CD pipelines for machine learning. Experience productionizing ML models in the cloud (e.g.,  AWS and SageMaker endpoints), including scaling, monitoring, and working closely with platform/infra teams.
• Hardware Profiling & Acceleration: Experience in profiling and optimizing ML inference on GPUs, with knowledge of CUDA-based runtimes and tools (e.g., Nsight, cuDNN, TensorRT, ONNX Runtime).
• Compiler & Runtime Knowledge: Familiarity with graph compiler optimization and tools like MLIR or LLVM.
• Framework Proficiency: Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Strong Software Engineering: Ability to develop high-quality, maintainable code and integrate complex algorithmic solutions into production systems.
• Passion for Games: A strong interest in how technology enables joy and innovation in the video game industry.

Bonus Experience

• Hands-on experience deploying ML models on edge, such as iOS or Android devices, including model optimization and hardware-aware inference.
• Experience in game development and familiarity with game engines (e.g., Unity, Unreal).
• Experience in model distillation, pruning, or other model compression techniques.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Netflix is re-imagining entertainment with over 270 million paid memberships in over 190 countries on millions of devices. One of the ways we do this is by using insights from data to optimize for the best customer experience. The Growth Insights and Foundations Data Engineering team ensures the availability of critical data to enhance "in-the-moment" experiences across various product canvases for both current and future Netflix members.
In this role, you will partner closely with data scientists and other engineers to build low-latency data products capable of powering algorithms and machine learning models that run across our commerce, identity flows, and more. This role is ideal for an individual with an analytically bent mind coupled with a robust engineering background who can develop highly available and reliable distributed data systems and services to ensure the timely delivery of high-quality data for use in the Netflix product.
About you:

• You are proficient in at least one major language preferably on the JVM stack (e.g., Java, Scala) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.
• You have a product mindset and are curious to understand the business's needs. You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs.
• You possess a strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high quality data products.
• You have experience building applications that use  large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions.
• You are passionate about making data available for self-service, and wider integration.  You have knowledge about transport protocols and are well-versed with building APIs/services and frameworks used for them e.g. Spring, gRPC etc.
• You have experience in supporting and maintaining products that run 24x7, ensuring high availability and reliability.
• You can craft scalable systems and solutions to realize a range of product and engineering goals.
• You have a strong operational awareness and design multi-tenant systems that can handle high-scale and high-throughput demands while being easy to operate, monitor, scale, and maintain.
• You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.
• You own what you build, beyond just your code and have a passion for quality.
• You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks.
• You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.

Learn more about the team, and technologies you’d get to work with!
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is  $170,000 - $720,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 20 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

The Games SDK team is responsible for the SDK libraries that game developers use to access the functionality of the Netflix Games Platform, implementing it across several supported platforms and game engines for mobile and cloud. As a member of the Games SDK team, you will play a pivotal role in evaluating and improving the quality of our SDK product. This role will focus on the quality of both the experience that game developers have when integrating the SDK into their games and the experience of Netflix customers using SDK functionality in games. 

Netflix is redefining what it means to make games along with new ways to engage with content and we welcome you to join us in our journey!

What you will do

• Contribute to the overall quality and testing strategy for the SDK team, with a focus on our iOS Games SDK, advocating for improvements to test infrastructure and tools where necessary
• Drive design and implementation of automation tests and the tools and infrastructure needed to support automation
• Debug issues with a variety of tools and identify root causes in close partnership with SDK engineers
• Manually test new features and integration points that are difficult to automate
• Contribute to test games and sample code that integrate and utilize the SDK
• Gather and analyze operational data to gain insights on how to improve test stability, performance, and developer engagement

What sets you apart?

• You are comfortable with some degree of uncertainty and ambiguity. This new game platform is evolving quickly as we learn what drives member joy in the gaming space.
• You exude developer empathy. You have a deep understanding of game development and great intuition for crafting and testing clean, easy-to-use API for game developers
• You thrive on cross-functional collaboration. You have excellent communication skills and can translate objectives and concerns between different teams, creating greater alignment between all the stakeholders on a project.
• You are self-motivated. You proactively look for solutions to bridge the needs of the business with technology.
• You have strong analytical skills. You are adept at analyzing data to gain insights that drive improvements in app quality.

What skills are important to us?

We value aptitude over experience, but here are some key skills that will make you successful on this team:

• Experience writing automated tests and using them to power short feedback cycles in a continuous integration environment
• Strong programming knowledge and hands-on experience with Objective-C and Swift
• Experience developing or testing third-party SDKs
• Experience with build and test orchestration tools such as Jenkins
• Experience with Unity or Unreal and automated testing of plugins and bindings in those environments is a plus

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Netflix is enjoyed by more than 230 million members globally, entertaining new audiences every day.  We are in the midst of major transformative developments for the Netflix product with the launch of an Advertising-supported plan, Games, and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and breadth of our internal data ecosystem. We manage one of the largest paid subscription businesses and are committed to handling our members’ data with a high degree of care towards appropriate use as well as compliance with local privacy laws and regulations in the 190+ countries where we operate.  
The Privacy and Legal Data Engineering pod builds scalable data management and extraction frameworks which are at the core of our ability to hold ourselves to the highest data privacy and hygiene standards in the industry. 
We are looking for a Data Engineer to help augment our ability to build these robust, scalable privacy-centric data frameworks. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka, and others to build insightful, scalable, and robust data pipelines; write ETL jobs to collect and aggregate data; and build high-quality data frameworks that enable appropriate handling of customer personal data.
The ideal candidate will bring a strong track record of having built data systems and frameworks to strengthen the privacy posture at large consumer businesses. They will have a deep background in distributed data processing and share our passion for continuously improving the ways we handle data to make Netflix's data privacy posture better. 
Who you are:

• Passionate about consumer-centric data privacy and risk mitigation for the business
• Highly proficient in at least one of Java, Python, or Scala with at least 10 years of software/data engineering experience
• Proficient in advanced SQL and effective in a complex data environment
• Highly experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large scale data sets
• Comfortable working cross-functionally with multiple types of stakeholder groups
• Able to successfully lead large, complex systems design and implementation challenges independently

What you will do:

• Design and implement elegant frameworks to scalably meet various internal and consumer-facing data privacy and legal needs
• Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
• Develop a deep understanding of the data ecosystem at Netflix from a privacy lens
• Partner with the privacy engineering teams to understand product goals and provide data that enables us to respond to customer and regulatory data requests
• Mentor and inspire teammates while elevating the impact of the team
• Enable Netflix to effectively manage legal and regulatory risk and compliance while maintaining a high standard of consumer data privacy expectations

A few more things to know: 
Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. We regularly share examples of our work on our tech blog. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks. 
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Netflix is the world's leading internet streaming service with over 250 million members in 190 countries. Our members enjoy a wide variety of streamed videos per day, using over 1000 types of devices, generating more than a third of downstream Internet traffic in North America. The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry “on & off-service”. Our flagship product, Netflix KG (“Hitch”), a data and analytics foundational layer, is a data pillar for 100s of diverse use cases across Netflix: from enabling content and marketing business executives to make better data-driven decisions to equipping AI/ML scientists with signals that power billions of daily predictions, to providing key inputs to engineering teams building business-critical applications. Hitch is a foundation for innovation that is helping to fuel Netflix’s long-term growth.

We are looking for a Data Engineer with a background in Machine Learning to own and scale our data systems while supporting high-visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful, scalable, and robust data systems and machine learning models that create and describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Machine Learning Engineers and Scientists to build scalable graphs and then leverage graph data in ML predictive models.

The ideal candidate will have a strong background in distributed data processing and can demonstrate strong data intuition and end-to-end ownership of our systems - from data collection and processing to running ML systems in production.

Who you are:

• Passionate about data systems: build reliable and trustworthy web-scale data products
• Highly proficient in at least one of the programming languages (e.g. Python, Java, or Scala) with at least 4 years of software/data engineering experience
• Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data.
• Familiarity with machine learning libraries TensorFlow, PyTorch, JAX, or Keras
• Experience working in machine learning or natural language processing domains. Some experience in implementing and productionizing models in large-scale industrial settings is a plus.
• Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages, graph machine learning)
• You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes
• Excited about learning new business domains, demonstrating excellence, and growing your career

What you will do:

• Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
• Leverage ML techniques for information extraction, building knowledge graphs with the information, and leveraging graph ML to power business insights.
• Build robust data quality systems using best-in-the-class data and ML techniques enabling the team and partners to deliver more business value
• Develop a deep understanding of the Netflix Data Science & Engineering ecosystem and related business domains
• Understand business requirements and provide data that empowers teams to innovate on top of the Netflix KG
• Join a stunning team of data and machine learning engineers with diverse skill sets, partnering closely with data science, analytics, and business counterparts

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

The Globalization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

Los Angeles is a significant center for our broader Studio and Creative Production teams. We are looking for an experienced Analytics Engineer based in our LA office.

In this role, you will design and develop analytic tools and systems to create more member value via improving localization quality and efficiency. You will partner with a talented cross-functional team of engineers, scientists, product managers and domain experts to shape localization strategy and deliver business impact.

Responsibilities:

• Act as a strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with automated data solutions.
• Drive the direction and execution of your work, which spans from developing scrappy analytic tools to designing scalable analytic systems.
• Partner closely with other engineers and scientists to improve foundational data models and accelerate productization of data insights.
• Share your innovation and collaborate with the broader community to strengthen analytics enablement.
• Become a LA ambassador for Globalization Data Science and Engineering, helping connect and partner closely with LA collaborators.

About you:

• Proven track record of designing and developing scalable analytic tools and systems.
• High proficiency in standard tech stack (e.g., Python, SQL, Spark) and common data visualization tools (e.g., Streamlit, Tableau).
• Familiar with fundamentals of Machine Learning and Statistical Inference as well as data engineering best practices.
• 5+ years of relevant experience with building data products powered by big data.
• Exceptional communication and collaboration skills coupled with strong business acumen.
• Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process.
• Netflix culture resonates with you.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Senior Gameplay Engineer

The Senior Gameplay Engineer is responsible for the management, design, and implementation of game systems. You will provide technical mentorship and guidance for junior engineers, focusing on Linux-based environments.

Essential Functions/Responsibilities:

• Work on key gameplay and engine features independently or in a supervisory capacity over a small, cross-disciplinary team.
• Collaborate with Principal/Director level engineers to define technical specifications for large systems.
• Support project Lead. In their absence, fill in as needed for project meetings. Disseminate information and updates as appropriate and necessary.
• Partner with other engineers to develop tools and processes that improve efficiency and quality.
• Develop and update feature documentation, maintain a shared library of tech, and process documentation.
• Independently design and implement key systems and gameplay features.
• Demonstrate expertise/ownership in at least one major area of the codebase.
• Mentor, motivate, and inspire other engineers.
• Help guide or lead cross-disciplinary dialogs to drive features from initial concept to completion.
• Exemplify reliability, accountability, and professionalism in all work-related interactions.
• Partner with principal/director-level engineers to drive coding standards and best practices for the department and project team.
• Design, implement, and manage Linux-based systems and infrastructure.
• Optimize and troubleshoot Linux systems for performance and reliability.
• Ensure security best practices are followed for Linux systems.
• Serve as a liaison between Art and Engineering to efficiently facilitate art integration.
• Coordinate with game teams to ensure consistent standards and production methodologies across the studio.
• Work alongside the existing game team and code base to bring Netflix Stories to Linux platforms.
• Resolve any issues that arise with existing systems when running on Linux.

Skills and Abilities:

• Advanced programming skills within the relevant development environment(s).
• Ability to objectively evaluate code as part of a formal review process and effectively communicate opportunities for improved performance, resilience, and stability.
• Ability to coordinate and build effective partnerships within the engineering team and other development verticals.
• Demonstrated fundamentals of leadership, including clear and proactive communication and coordination, meeting moderation, and oversight of small cross-disciplinary initiatives.
• Able to manage multiple, competing tasks and be self-directed to meet deadlines in a quickly evolving environment.
• Positive attitude and ability to receive and provide objective and constructive feedback.
• Excellent organization skills.
• Advanced knowledge and experience with Linux operating systems and environments.
• Proficiency in Linux shell scripting and command-line tools.
• Experience with Linux-based application development, deployment, and maintenance.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.

Education and Experience:

• Computer Science, Mathematics, Engineering, or related degree, or equivalent work experience.
• 8 years experience in delivering production-level code in a professional environment.
• Experience shipping multiple successful game products into the marketplace.
• Experience supporting a live service.
• iOS and Android mobile development experience.
• Real-time strategy and Unity 3D game development experience.
• Thorough understanding of the software development life cycle, and practices.
• Experience with Jira, Confluence, or other defect-tracking software.
• Extensive experience with Linux operating systems in a professional environment.
• Previous experience in Linux system administration or engineering.

Position Type/Expected Hours of Work 
Our core hours are 10:00 am to 6:00 pm CST, which means you should be available for meetings etc. during this time frame.  

Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job duties.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000-$600,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

As Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Software Engineer for Machine Learning to join our Algorithms team. In this role, you will apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience. You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests. For more details about software engineering for personalization at Netflix, see these links:

• Consolidating ML models
• InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
• Evidence Personalization
• Page Simulation for Better Offline Metrics at Netflix
• RecSysOps

As a software engineer in the team, you will contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. You will collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms. You will also guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship. You will collaborate with other engineers to create solutions that are used beyond our team. To excel in this role, you should have a robust software engineering background, a keen sense of software engineering principles and design, a proven experience with large-scale applications involving machine learning, a love of learning, possess strong communication skills, and the ability to work well in large cross-functional teams.

What we are looking for:

• A degree in Computer Science or a related field
• 4+ years of full time software engineering experience with a bachelor’s degree; or 2+ years of experience with a graduate degree
• Excellent software design and development skills in Python along with Scala, Java, C++, or C#
• Solid understanding of various software engineering best practices and their appropriate application
• Experience building web-scale parallel and distributed computing systems
• Experience with large-scale data frameworks such as Spark or Flink
• Excellent collaboration skills
• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems

Preferred, but not required:

• Experience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications.
• Experience building machine learning models or LLMs
• Experience scaling and optimizing the training and serving of machine learning models
• Experience with machine learning libraries TensorFlow, PyTorch, JAX or Keras
• Experience with cloud computing platforms like AWS
• Background in math, statistics, or numerical computation
• Significant contributions to open-source projects

*Note: Level and compensation are determined based on your demonstrated experience, skills, and interview performance. We have several open positions within the personalization, search,  and recommendations space. The specific role will be determined based on the candidate's skills and fit, which will be evaluated after the initial round.*

What do we offer:

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

The N-Tech Systems Engineering team at Netflix focuses on improving the employee experience, collaboration, and productivity of our global employees and support teams. As a centralized engineering team responsible for helping Netflix employees with how they work, we aim to remove friction, simplify workflows by increasing automation, and provide technical solutions so they can focus on bringing engaging stories to our members all over the world. This role will focus on engineering solutions for Active Directory, Microsoft Azure and Google Workspace products.
Key Responsibilities:

• As a member of the N-Tech Systems Engineering team, you will be responsible for developing tools and services that support Netflix’s Active Directory infrastructure.
• Implement and enforce security policies, access controls, and group memberships within Active Directory.
• You will establish the technical strategy and offer insights on the deployment of Microsoft Azure & Google Workspace products and services through collaboration with stakeholders and by understanding business use cases.
• You will be collaborating with cross-functional teams to design and implement solutions that meet the needs of our stakeholders and business.
• You’ll help maintain and document services owned by the team to ensure our runbooks and processes stay up to date.
• Participate in a weekly on-call rotation with the team, be responsible for answering operational questions during business hours, and be available during off-hours for emergency pages.
• Stay up to date on the latest trends and technologies of the N-Tech Systems Engineering service portfolio.

Qualifications:

• Systems Engineering experience supporting and operating Active Directory, Microsoft Azure, and Google Workspace in an Enterprise Environment.
• Strong background in designing scalable, reliable, and efficient systems. Including understanding trade-offs in system design, design for fault tolerance and recovery, and knowledge of best practices in distributed systems.
• MUST HAVE: Know one or more general-purpose programming languages including but not limited to Python, Javascript, or Go.
• Working knowledge utilizing APIs for integration/ETL automation.
• Ability to use well-established enterprise standards, processes, and procedures to ensure engineering projects are delivered in a timely fashion with high-quality work products.
• Ability to manage and maintain AWS infrastructure to support production systems.
• Understanding SDLC and project management frameworks agile, scrum and iterative.
• Exposure to directory services and cloud identity providers (Okta, Google, Azure AD/Entra ID).
• Well-versed in producing technical documentation that conveys the story of business impact.
• Production experience utilizing CI/CD for code deployment.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Netflix is one of the world's leading entertainment services with over 260 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business.

*Our Team*

The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server-side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.

Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.

We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Experience & Skills:

We are seeking an ML engineer with experience in the following areas: 

• Productionize models to forecast ad inventory availability and performance. This includes predicting future inventory needs based on historical data, market trends, and seasonal variations.
• Productionized predictive models to forecast the effectiveness of advertising campaigns, including metrics like clicks, impressions, conversions, and ROI.
• Bringing complex models to life in low-latency real-time advertising environments
• Building Scalable Simulation solution to model different inventory scenarios, including demand fluctuations, pricing strategies, and inventory allocation.
• Budgeting and Pacing systems, models, and algorithms
• Applying Modeling and machine learning techniques for business problems at the intersection of product, data science, and engineering
• Collaborate with cross-functional stakeholders from science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale

Nice to Haves:

• Publisher-side ad tech systems including ad servers, bidders, yield optimizers, and their demand-side counterparts (SSPs/DSPs)
• Yield Optimization, scoring, and bid ranking models and Dynamic Allocation of direct/programmatic guaranteed and non-guaranteed inventory
• Contributed to an ads industry technology standard (e.g  VAST, OpenRTB) or worked on an industry consortium effort, or working group.
• Familiarity with legal compliance and the changing landscape of ad regulations around the world.
• Experience working in the CTV space and knowledge of its unique constraints

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time

*The Role*

Netflix’s Growth and Commerce Organization is responsible for the business relationship that consumers have with Netflix- including what plans we offer and at what price, how consumers pay for Netflix, and the flows that allow them to sign up, change plans, or cancel Netflix.  This role focuses on our consumer acquisition strategy and how consumers experience Netflix before they enter the app. This includes our signup flow where we sell Netflix to consumers, how consumers log-in to Netflix, and how we partner and bundle with other companies. Our Data Science team helps scale data driven decision making in these areas. We deep dive to identify opportunity areas and inform Netflix’s strategy, run AB tests or utilize other causal inference techniques to understand the impact of new experiences and build machine learning to scale rapid innovation in these areas.

*What you'll do*

We’re looking for an accomplished data science and analytics leader to lead a diverse team of talented, individual contributors who are experts in the fields of analytics, experimentation, and machine learning. You will lead, mentor, and inspire a team of data scientists and analytics engineers to consistently deliver business impact. You'll partner with teams that define consumer experiences before someone is logged in to set business strategy, support long-term technical vision, and drive influence.  You'll keep an eye toward scaling analytics, access to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to Netflix challenges.  

About you

• Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments
• Master’s or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields
• Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation, and machine learning
• Tenacious and flexible and can effectively organize and lead cross-functional projects, overcome challenges, and propose new solutions
• Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact
• Exceptional verbal and written communication skills with a wide variety of technical and business stakeholders

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

The data platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix, so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment.

We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S.

Spotlight on Data Platform Teams:

Data Platform Infrastructure |Learn More

The Data Platform Infrastructure team acts as a platform for our own data platforms. Our shared infrastructure and tooling enable Netflix to innovate quickly in providing state-of-the-art data and analytics systems to the rest of the company without building bespoke scaffolding for each new system. To do this, we create high-leverage infrastructure, control, and deployment systems that are fine-tuned for running our data systems at scale.

The team plays an essential role in making it easy and efficient to use the Netflix platform and security products for building the data platform; uniquely, many of our tools and systems are written in Python, so this is a great team to consider if you enjoy working in a variety of languages.

This would be your dream job if you enjoy:

• Solving real business needs at a large scale by applying your software engineering and analytical problem-solving skills.
• Architecting and building a robust, scalable, and highly available distributed infrastructure.
• Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM across teams.
• Sharing our experiences with the open source communities and contributing to Netflix OSS.

About you:

• 7+ years experience in crafting complex, scalable distributed data infrastructure
• Proficiency in Java, C++, Golang, or Python with a solid understanding of multi-threading and memory management
• Proven track record of developing and maintaining high-impact systems
• Experience building and operating scalable, fault-tolerant, distributed systems
• You have a BS in Computer Science or a related field
• Familiarity with library development, DI frameworks (preferably SpringBoot), and container technologies

A few more things about us:

As a team, we come from many different countries and our fields of education range from the humanities to engineering to computer science. Our team includes product managers, program managers, designers, full-stack developers, distributed systems engineers, and data scientists. Folks have the opportunity to wear different hats, should they choose to. We strongly believe this diversity has helped us build an inclusive and empathetic environment and look forward to adding your perspective to the mix!

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $100,000 - $700,000

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Our culture is unique, and we tend to live by our values, so it’s worth learning more about Netflix here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

At Netflix, our mission is to entertain the world by connecting our members to an extensive library of stories from all over the globe. We are revolutionizing international storytelling as we deliver billions of hours of movies and TV shows per month to 200+ million members across 190+ countries in 30+ languages. 

The Globalization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

We are looking for an experienced Research Engineer with established track records in Multilingual Live Caption and Translation technologies to develop and productize algorithms that power high quality localization at scale. In this rare opportunity, you will have the chance to conduct cutting-edge Machine Learning research to help enhance localization and global entertainment at Netflix. You will partner with a talented cross-functional team of scientists, engineers, product managers, and domain experts to deliver business impact.

*Responsibilities*

• Research, develop and productize cutting-edge Multilingual Live Caption and Translation models
• Partner closely with other ML engineers and scientists to integrate work into business applications
• Act as domain expert and thought leader in identifying new research opportunities with significant business impact
• Present your research to all levels of the company clearly and concisely

*About you*

• Proven track record of conducting cutting-edge research in Multilingual Live Caption and Translation models, demonstrated by publications in top-tier conferences or journals
• MS or PhD in ML, Computer Science or related fields
• Familiarity with common ML and DL frameworks such as PyTorch or Tensorflow
• Exceptional communication and collaboration skills
• Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process
• Netflix culture resonates with you

Tags: ResearchSite

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

*Software Engineer L5 — Machine Learning Build, Productivity, and Reliability Tooling*

Our team builds developer productivity tools to enable Netflix’s machine learning teams. We’re looking for a passionate and talented engineer to join our team of engineers, SREs, and ML researchers.

As part of the team, you will design, build, and maintain tools that are used by our machine learning researchers daily. You will be part of a larger research organization that is responsible for Netflix’s core applied machine learning, which powers our recommendations, personalization, and search algorithms (and many other areas). You will work closely alongside our ML researchers to identify frictions, and to design and build solutions to them.

To be successful in this role, you must have a strong software engineering background, a keen sense of software design, and experience operating large CI/CD systems.

If you are ready to make a difference at a company that matters, and if you want to work with machine learning, and developer tools, in a company that strongly believes in both, then we would love to talk to you.

Requirements:

• 4+ years of software engineering experience with a successful track record of delivering quality results
• Strong software design and development skills (Scala, Java, C#, or C++).
• Experience with large-scale data frameworks such as Spark, Hadoop, etc.
• Experience with parallel and distributed computing
• BS in Computer Science or related field

Preferred, but not required:

• Experience operating and customizing Bazel, or similar distributed build systems (such as Buck, Pants, etc).
• Significant contributions to open source projects
• Experience with machine learning frameworks, such as TensorFlow, PyTorch, etc

Netflix's culture is an integral part of our success, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix has a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

At Netflix, our mission is to Entertain the World.  Over 270 million members around the globe enjoy our award-winning movies and TV shows, and much of our success still lies ahead. 

Growth Engineering at Netflix is responsible for driving the continued growth of Netflix’s subscriber base and increasing the value we derive from each member. Our work helps users to discover and sign up for Netflix, and maintain their Netflix service. We participate on cross-functional teams focused on acquisition, retention, plans and pricing, user identity, customer support, and more, and provide foundational systems powering all billing, payments processing, and the consumer web application platform at Netflix.

As an L7 Software Engineer reporting to the Senior Director of Growth Engineering, you will identify and solve highly complex problems that impact the entirety of our organization, understand systems and practices to inform and guide technical roadmaps for our teams, and provide technical leadership and mentorship to peers, stakeholders, and partners.
Responsibilities Include:

• Define and drive the technical and architectural direction for the totality of the depth and breadth of the systems owned and operated by Growth Engineering, balancing business and customer benefit, cost, and resilience.
• Provide both strategic and tactical oversight as we maintain, extend and modernize our current systems, and build new capabilities and platforms.
• Partner with senior engineering leadership and our most experienced (L7) engineers, inside of and beyond Growth Engineering, to solve our hardest technical challenges and have a material impact on the business.
• Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues, while helping managers guide the career growth of their team members.

Required Experience & Other Qualifications:

• 15+ years of professional software development experience as an individual contributor software engineer.
• Deeply technical, with demonstrated success in setting the technical direction for engineering projects and making architectural decisions, and with an aptitude for influencing others to embrace and align around solutions.
• Proven track record of designing, building, and supporting highly available and fault-tolerant systems in production.
• Expert understanding of the development of the full-stack consumer software products at scale; you may focus on client, mid-tier, distributed systems, or otherwise, but must have some familiarity with and capability to flex between these disciplines, and most importantly, deeply understand their interplay.
• Experience developing products that are A/B tested rigorously, and familiarity partnering with Data Science Engineering to help drive this experimentation efficiently and correctly.
• Exceptional collaboration and communication skills that enable effective work with cross-functional teams and stakeholders, technical and non-technical alike. Includes the ability to work with senior leadership to develop a long-term technical strategy and map business goals to appropriate technology investments.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $240,000 - $1,200,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is the world's leading internet streaming service with over 250 million members in 190 countries. Our members enjoy a wide variety of streamed videos per day, using over 1000 types of devices, generating more than a third of downstream Internet traffic in North America. The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry “on & off-service”. Our flagship product, Netflix KG (“Hitch”), a data and analytics foundational layer, is a data pillar for 100s of diverse use cases across Netflix: from enabling content and marketing business executives to make better data-driven decisions to equipping AI/ML scientists with signals that power billions of daily predictions, to providing key inputs to engineering teams building business-critical applications. Hitch is a foundation for innovation that is helping to fuel Netflix’s long-term growth. 
We are looking for a Full Stack Software Engineer to own and scale our online data systems while supporting high-visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful tools, apps, services, and libraries that describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Data Engineers, Machine Learning Engineers, Scientists, and business analysts to build scalable access patterns for them.
Who you are:

• You would consider yourself a full-stack developer. You have experience in both backend and frontend development for a good part of your career and expertise in owning and maintaining backend services.
• You are proficient in designing, building, and operating API layers that support various front-end user experiences. Experience with GraphQL and Node.js is a big plus.
• API and SDK development: You have built, maintained, evolved, and/or sunset a variety of APIs and libraries/SDKs.
• You are proficient in working with Javascript, React, or other similar technologies. Proficiency in Python or Java is a big plus.
• Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data.
• You are willing to learn and own all areas of the software lifecycle: design, development, test, deployment, operation, and support.
• Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages)
• You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes
• Excited about learning new business domains, demonstrating excellence, and growing your career

What you will do:

• Work cross-functionally to build new services, tools, and data models to develop easy-to-use data access patterns for knowledge graphs.
• Building intuitive user interfaces backed by data in offline systems and APIs
• Evaluate new technologies and approaches to streamline and improve our rapid application development tooling and conventions.
• Regularly learn new systems and tools as the Netflix platform and ecosystem evolve.
• Understand business requirements and provide tools that empower teams to innovate on top of the Netflix KG
• Join a stunning team with diverse skill sets (data engineering, machine learning, analytical engineering and software engineering),  partnering closely with data science, analytics, and business counterparts

Netflix offers amazing co-workers, new technology, fascinating analytical and technical challenges, and a Freedom & Responsibility Culture that's truly outstanding. It’s worth learning more: http://jobs.netflix.com/culture
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment.  Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix has been changing how people watch shows and movies, enabling on-demand access to thousands of movies and TV shows. Recently, Netflix has expanded its entertainment offering to include Live content, like Chris Rock Comedy Special, the SAG Awards ceremony or The Netflix Slam tennis match. Bringing stories in real-time to 260+ million viewers around the world is a hard challenge, demanding exceptional levels of stability and reliability from dozens of services and systems between camera and device screens.

In this role, you will support our live streaming events by focusing on cloud traffic and capacity planning (API Gateway, IPC between microservices). You will prepare and execute various load tests to ensure both individual critical applications and overall cloud infrastructure can handle sudden increases in API traffic, especially at the start of events. You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale. You will impact multiple areas of the live event lifecycle, from the planning phase through testing and event launch days.

Responsibilities 

• Drive continual improvement in observability, monitoring, and scalability with the primary goal to solve the thundering herd problem with cloud traffic (API gateway, IPC between microservices) for live streaming.
• Implement, automate, execute, and analyze the results from a broad range of live streaming delivery focused functional, performance, resilience, and fault injection testing.
• Write and review code, develop documentation and capacity plans, and debug the hardest problems on some of the largest and most complex systems in the world
• Coordination, collaboration, and partnership across multiple stakeholders for the smooth execution of live-streaming events
• Participate in an on-call rotation and be able to work with flexible hours based on the live events schedule

Qualifications

• 5+ years of service reliability/operational experience running large-scale, high-performance systems & internet services with a focus on traffic at scale.
• Knowledge of and proven experience with L4 Load Balancer,  HTTP cache, and reverse proxy technologies.
• Expert-level knowledge of Unix or Linux systems and TCP/IP network fundamentals.
• Proficient understanding of networking principles, transport, and application protocols, especially DNS, TLS, and HTTP(s) etc.
• Proficient in a programming language such as Go, Python, Rust etc.
• Experience with using real-time and Big Data analytic processing technologies (Kafka, time series database and Presto/Trino, Spark SQL, etc)
• Ability to work in a highly collaborative environment and to communicate effectively with internal and external partners
• Preferred - B.S. in Computer Science, Electrical or Computer Engineering (or equivalent professional experience)

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here. Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

In Nov 2022, we launched a new lower-priced, ad-supported tier for our customers. We are now continuing to build on our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix! 

The Ads Data Science and Engineering (DSE) team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations and drive success on end-to-end analytics initiatives in this 0 -1 space.

The Ads DSE Measurement Team is responsible for building audience insights and measurement solutions from the ground up. We partner closely with the campaign performance and effectiveness teams, as well as consumer insights, product, and sales teams, to understand core advertiser needs. Our goal is to develop both foundational and innovative solutions that address these needs effectively.

We are seeking a Data Scientist to tackle foundational challenges in the ads space, such as lift solutions, conversion, and attribution modeling within the ads measurement domain. This role offers the opportunity to collaborate with a diverse range of cross-functional business partners to identify new opportunities, design, execute, and analyze experiments, and deliver impactful solutions for our advertiser partners. Strong measurement techniques are essential for the long-term success of our ads business, and you will play a key leadership role in driving this area for Netflix.

In this role, you will:

• Lead the research and experimentation efforts to measure ad campaign performance and effectiveness for the Ads Platform. Autonomously identify and pursue research initiatives with significant business impact, and make compelling cases for prioritization and resource allocation.
• Disambiguate complex problems to propose clear evaluation frameworks and success criteria.
• Cultivate strong partnerships with cross-functional stakeholders, including product, engineering, operations, design, and consumer research teams.
• Execute and present robust research and insights, disseminate knowledge, and rally support for innovative ideas.
• Foster a collaborative, innovative, and intellectually stimulating environment.
• Deliver technically excellent solutions using modeling and ML, data exploration and strong documentation with an eye toward impact and contribution to the larger DSE community.
• Be a thought leader for Product, Strategy and Engineering teams in the areas of measurement for Ads.

We are looking for:

• Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field.
• Leadership experience with large-scale data with proven ability to lead cross-functionally, work independently and galvanize others .
• Strong statistical knowledge and intuition - having been utilized in experimentation or other product analytics settings.
• Strong product knowledge and intuition - having utilized in consumer/user interface settings or internally serving technical audiences such as engineers.
• Demonstrated ability to communicate and drive product change across a variety of stakeholders.
• Strong SQL skills and Quantitative Programming skills in Python or R
• Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.
• Mentors, brainstorms with, and enables others, especially within your functional area
• Actively builds and fosters technical communities internally (e.g., horizontal forums, seminars, and summits) and externally (e.g., conference participation).

Exemplary stewardship of Netflix’s culture and values, particularly in terms of selflessness and ensuring open debate of ideas and encouraging inclusion of a variety of perspectives regardless of seniority.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

With over a quarter billion members in over 190 countries and a billion hours of streaming each month, Netflix is the world’s leading online entertainment company. Netflix continues to shape the future of entertainment by developing personalized ways for members to discover and enjoy a rapidly expanding catalog of content.

The Machine Learning & Inference Research (MLIR) team works on core methodological development in areas of strategic importance to Netflix and translates this research into actionable impact by partnering with other teams (e.g. data science, engineering, design, product). MLIR engages with the external research community spanning ML/AI, statistics, economics, and operations research through conferences, academic collaborations, and publications. At the same time, it engages with the internal Netflix community by disseminating research learnings, advising on the incorporation and practical implementation/scalability of new methods and technologies and partnering on translational applied research with direct impact to Netflix product and content priorities. In success, the MLIR team’s expertise and foundational research influences and steers a growing number of projects and roadmaps and cultivates and advances in-house world-class expertise. 

What you'll do

We are seeking an experienced leader to define and execute a strategy that brings cutting-edge methods and holistic thinking to Netflix. The leader must balance a portfolio of foundational/methodological developments spearheaded by the team and collaborative projects with stakeholder teams that directly benefit from these developments. Such collaborations span applied research (such as exploring innovations to the member experience or analyzing Netflix data for actionable insights), devising ambitious yet technically feasible innovation roadmaps, and helping craft technical approaches to advance these roadmaps. To be successful, the leader must be deeply familiar with the business needs, adept at translating these needs into a long-term research agenda, galvanize other teams around this agenda, and committed to fostering an open environment of collaboration, innovation, and intellectual excitement. 

Specifically, you will:

• Inspire and lead a senior team of research scientists to shape machine learning and causal inference excellence at Netflix.
• Work closely with a wide range of partners (scientists, engineers, designers, product managers, finance/strategy, etc.) to maintain a strong portfolio of projects that impact our members and our business, often in collaboration with business-domain data science and engineering teams.
• Uplevel our research best practices and our organizational expertise in machine learning and causal inference and the latest developments therein.
• Help prioritize and balance competing priorities for the long term benefit of Netflix
• Be a leader and role model within the Data & Insights team, including enriching Netflix’s broader machine learning & experimentation community.
• Build a successful and highly productive research program that includes research scientists, external academic collaborations, and research interns.
• Boost the visibility of Netflix research through research products such as external presentations and publications aligned with Netflix’s interests in top tier venues and by forming connections with academic labs and researchers.

We're looking for

• You have made meaningful impacts and brought clarity to complex or ambiguous technical problem spaces. You exhibit excellent judgment in developing a portfolio of high-risk/high-reward, long-term projects and leading a team to execute them.
• You possess outstanding oral and written communication skills that resonate within and beyond your team. You have a proven track record as a trusted partner to both technical and business stakeholders.
• You have successfully operated in a company where collaboration and integration with other teams across multiple disciplines are essential to your team’s success.
• You are pragmatic and maximize impact through careful consideration of the trade-offs that business-domain teams must make.
• You have experience and demonstrated success in building and leading a research program, in retaining high-caliber applied research teams, and in fostering an inclusive team culture.
• You have proven experience moving the business forward, uplifting the broader team and orchestrating thought leadership that raises the bar for the organization.
• You have a Ph.D. in a quantitative field such as Mathematics, Computer Science, Statistics, Physics, Operations Research, Economics, etc.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $610,000 - $1,870,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is enjoyed by more than 200 million members globally, entertaining new audiences every day.  Securing our members data and accounts appropriately is key to maintaining a high level of trust with our customers. In addition, securing our service and guarding against fraudulent behavior is essential to enable us to scale our business effectively.  

The Security Data Engineering team builds data products which provide visibility into security and fraud risks across customer accounts as well as internal systems and data. This role is specifically focused on enabling our security teams in detecting and mitigating various types of fraud like account takeovers, unauthorized third party apps, account sharing fraud etc. This requires a holistic understanding of members' activity patterns across various dimensions like geography, device types, content types and more. Centralizing various data points which help us understand these dimensions is key to success in this role. 

We are looking for a Data Engineer to build reliable data pipelines and intuitive data products that allow our stakeholders to easily leverage data in an effective manner. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data; and build high quality data models that describe the entities, interactions and usage patterns of the Netflix product. 

The ideal candidate will bring a strong track record of having built data systems and frameworks to strengthen the security posture at large consumer businesses. They will have a deep background in distributed data processing and share our passion for continuously improving Netflix's security posture. 

Who you are:

• Passionate about building intuitive data products to mitigate security and fraud risks
• Highly proficient in at least one of Java, Python or Scala with at least 7 years of software/data engineering experience
• Advanced level SQL skills in a complex data environment
• At least 5 years of experience in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large scale data sets
• Comfortable working cross functionally with multiple types of stakeholders groups
• Able to successfully lead large, complex systems design and implementation challenges independently
• Prior experience in the security and fraud space is strongly preferre

​What you will do:

• Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
• Develop a deep understanding of the security ecosystem at Netflix
• Partner with the security engineering teams to understand product goals and provide data which empowers teams to improve our fraud and security posture
• Maintain and rethink existing datasets and pipelines
• Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering etc
• Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts

A few more things to know: 

Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. We regularly share examples of our work on our tech blog. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks. 

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is re-imagining entertainment with over 270 million paid memberships in over 190 countries on millions of devices. One of the ways we do this is by using insights from data to optimize for the best customer experience. The Growth Insights and Foundations Data Engineering team ensures the availability of critical data to enhance "in-the-moment" experiences across various product canvases for both current and future Netflix members.
In this role, you will partner closely with data scientists and other engineers to build low-latency data products capable of powering algorithms and machine learning models that run across our commerce, identity flows, and more. This role is ideal for an individual with an analytically bent mind coupled with a robust engineering background who can develop highly available and reliable distributed data systems and services to ensure the timely delivery of high-quality data for use in the Netflix product.
About you:

• You are proficient in at least one major language preferably on the JVM stack (e.g., Java, Scala) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.
• You have a product mindset and are curious to understand the business's needs. You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs.
• You possess a strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high quality data products.
• You have experience building applications that use  large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions.
• You are passionate about making data available for self-service, and wider integration.  You have knowledge about transport protocols and are well-versed with building APIs/services and frameworks used for them e.g. Spring, gRPC etc.
• You have experience in supporting and maintaining products that run 24x7, ensuring high availability and reliability.
• You can craft scalable systems and solutions to realize a range of product and engineering goals.
• You have a strong operational awareness and design multi-tenant systems that can handle high-scale and high-throughput demands while being easy to operate, monitor, scale, and maintain.
• You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.
• You own what you build, beyond just your code and have a passion for quality.
• You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks.
• You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.

Learn more about the team, and technologies you’d get to work with!
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is  $170,000 - $720,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment.  Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Securing our members’ data appropriately is key to maintaining a high level of trust with our customers. In addition, securing our technology infrastructure and understanding inherent risks are essential to enable us to scale our business effectively while maintaining a healthy security posture.

The Security Data Engineering team builds data products which provide visibility into security, fraud and technology risks across customer accounts as well as internal systems and data. This role is specifically focused on enabling our security teams in detecting and mitigating various types of security risks affecting our expansive cloud technology footprint. This requires a holistic understanding of our infrastructure topology, access controls, security policies and usage patterns. Centralizing various data points which help us understand these dimensions is key to success in this role.

We are looking for a Data Engineer to build reliable data pipelines and easy-to-use data products that allow our stakeholders to easily leverage data in an effective manner. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data; and build high quality data models that describe the entities, interactions and usage patterns of our technology footprint.

The ideal candidate will bring a strong track record of having built data systems and frameworks to strengthen the security posture at large consumer businesses. They will have a deep background in distributed data processing and share our passion for continuously improving Netflix's security posture.

This role is based in the contiguous US and our teams work in a hybrid-working model. 

Who you are:

• Passionate about building intuitive data products to understand and mitigate security risks
• Highly proficient in at least one of Java, Python or Scala (Scala preferred) with at least 2 years of data engineering experience
• Advanced level SQL skills in a complex data environment
• Experienced in engineering data pipelines using big data technologies (Spark, Presto, Flink etc.) on medium to large scale data sets
• Comfortable working cross functionally with multiple types of stakeholders groups
• Able to successfully lead large, complex systems design and implementation challenges independently
• Prior experience in the security space is strongly preferred

What you will do:

• Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
• Develop a deep understanding of the security ecosystem at Netflix
• Partner with the security engineering teams to understand product goals and provide data which empowers teams to improve our security posture
• Maintain and rethink existing datasets and pipelines
• Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering etc
• Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $170,000 - $720,000.

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is revolutionizing the entertainment industry with world-class technology. We serve 300+ million members across 190+ countries, delivering billions of hours of great movies & TV shows every month in 30+ languages. To meet our members’ entertainment needs, Netflix has invested in scaled Content Production & Promotion workflows. With assistance from creative supervision and member feedback data, we have built tools & processes that use technologies like Computer Vision, Graphics, Machine Learning & Generative methods to enable our creators to tell the best version of the story they want while allowing our studio to scale further.

The Content Production & Promotion Data Engineering team, within Data Science and Engineering, is responsible for enabling our partners to develop data-driven workflow tooling that shapes the future of content production and promotion at a global scale. In collaboration with our partners, we unlock hidden insights and enable capabilities by implementing AI and Machine Learning techniques on voluminous and novel datasets (including media like artwork and video) and expose resultant datasets via user friendly API’s that hide the underlying complexity.

We are looking for an experienced Machine Learning Software Engineer with a background in Computer Vision to help us build and ship AI workloads at scale.

What will you do?

• Work alongside researchers, engineers, data scientists, and product managers in designing and building custom datasets for the purpose of training and fine-tuning generative models in a multi-modality fashion with a focus on video.
• Develop end-to-end frameworks and tools to generate said datasets by leveraging the optimal resources needed to achieve the best possible performance at a reasonable cost.
• Contribute to broader tooling initiatives that aid in the storage, cataloging, discovery and overall management of ML media.
• Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding large/novel datasets in order to drive incremental value to our Media ML system architecture.
• Engage with the Data Engineering and ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.

About you

• Beyond talented, you are curious, creative, and tenacious.
• You are not bothered by ambiguity, you find joy in finding patterns in the most complex of environments and bringing order into chaos.
• You have a strong foundation in distributed system architecture (with excellent judgment on specific components such as GPU/CPU) and experience in large-scale batch inference and data processing.
• Excellent software design and development skills in Python. Experience with SQL along with Scala or Java desired.
• Experience with preparing and normalizing media data for Machine Learning workloads using libraries such as OpenCV, FFMpeg, Pytorch, HugginFace.
• You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
• 4+ years of full-time work experience in one or more relevant ML/SWE/Data Engineering roles.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We recently launched a new ad-supported tier to offer our members with more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply immersed.

Our Team:

The Ads Platform team builds the advertising systems and integrations that power the delivery of ads using our world class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our members’ viewing experience and drives great outcomes for advertisers. 

Our team is new and yet faced with the ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that differentiate Netflix from other ad-supported streaming services.

We are looking for a Product Manager in the advertising space who is excited to join us on this journey.

About the Role:

This PM will be responsible for building a new foundational technology that connects systems across Netflix Ads. We are seeking a visionary to lead the development and management of our Trusted Execution Environment (TEE) infrastructure for Ads. This role enables confidential compute for sensitive, multi-party workloads (especially where Netflix and partner data must be jointly processed) while preserving privacy, integrity, and auditability.

This means building for other builders; laying the foundations for our stunning colleagues across engineering, product, data science, measurement, audience, identity, and ad serving. TEEs will work hand-in-hand with our Data Clean Room infrastructure; leveraging both to deliver privacy-preserving joins and computation with verifiable assurances.

This PM will:

• Define and drive the product vision and roadmap for Ads TEE Infrastructure, making privacy-preserving compute accessible to internal teams and repeatable across partners.
• Deliver a platform (APIs, SDKs, templates) that supports attested, encrypted-in-use computation for common Ads workloads without bespoke engineering for each integration.
• Partner closely with Data Clean Room infrastructure to design complementary flows where data preparation and governance occur in Clean Rooms and sensitive realtime computation/inference executes in TEEs.
• Collaborate with Security, Privacy, Legal, and partner technology teams to establish joint execution protocols, attestations, and evidence capture that meet contractual and regulatory requirements.
• Provide first-class developer experience: job templates, declarative specs, workflow integration, observability, and clear guidance on cost-to-assurance tradeoffs and performance tuning.
• Integrate with core data and compute planes (e.g., Snowflake, S3/GCS, Kafka, Spark/Flink) with robust identity, RBAC/ABAC, per-tenant isolation, and secure IO patterns.
• Define and track success metrics such as number of secure jobs executed, time-to-attest, partner adoption, and evidence quality; iterate quickly based on data and feedback.
• Serve as connective tissue across Ads Data Science, Measurement, Audience, Identity, Ad Serving/Decisioning, and Partner Solutions to unblock high-impact use cases.

We’re seeking a candidate who has:

• Experience: 10+ years of Product Management/Engineering experience with a proven track record of launching and scaling foundational, security-critical platforms; experience in confidential computing or privacy-preserving technologies. Experience in advertising technology or data products is a strong plus, especially where handling sensitive advertiser/partner/member data is required.
• Domain Awareness: Familiarity with advertising data workflows and controls across publishers, advertisers, and measurement partners. e.g., data minimization, purpose limitation, data retention policies, seeded audience joins, measurement signal handling, and contractual/usage constraints. Publisher-side experience preferred; demand-side experience also valuable.
• Visionary Leadership: Ability to deliver a comprehensive roadmap and vision for TEE-backed, multi-party compute that supports diverse internal teams and external partners.
• Technical Acumen: Deep understanding of TEEs and adjacent privacy tech (e.g., AWS Nitro Enclaves, GCP Confidential Computing, Azure SEV-SNP; knowledge of SGX/SEV/ARM CCA helpful), secure software supply chain (signed artifacts, SBOMs), attestation, key management, and encrypted data-in-use.
• Adversarial Mindset: Familiarity with the adversarial nature of partner integrations and the controls required to mitigate misuse in advertising contexts (e.g., inference attacks, data leakage, cross-tenant contamination, reconstruction risks); strong instincts for auditability and evidence.
• Domain Awareness: Knowledge of advertising-oriented data workflows; publisher-side experience preferred, demand-side experience also valuable.
• Collaborative Skills: Proven experience working with cross-functional teams, including Security, Privacy, Legal, Data Science, Engineering, and external partner technology/security teams.
• Regulatory Knowledge: Familiarity with legal compliance and the evolving landscape of data privacy and advertising regulations worldwide.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $310,000.00 - $545,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Creative Compute and Storage Software Services team designs, develops, and delivers an in-house infrastructure platform to support the growing need of creative productions. As we expand our content creation globally, we seek the best and brightest engineering talent to be part of our growth.

Our team is looking for a Senior Software Engineer to be part of the design and development of our purposefully developed infrastructure platform. You will work with internal engineering teams, technical creatives, production teams, and external vendors to deliver amazing technology experiences for our creative users. We are looking for an experienced engineer who brings a broad set of technical skills and achievements, a development and automation-focused mindset to solving problems, and unique career and life experiences to join our teams as we continue to evolve entertainment worldwide.

Be sure to review our culture page and long-term view to learn more about the unique Netflix culture and the opportunity to be part of our team.

The Role

As a Senior Software Engineer focused on developing our infrastructure platform for Creative Compute & Storage Software Services, you will play a key role in the design and implementation of solutions which improve our ability to manage a worldwide platform in support of cutting-edge creative workflows, enhancing our global control plane, and efficiently orchestrating infrastructure resources to maximize their impact. In this role, you’ll collaborate cross-functionally with engineering, product, and creative teams to develop world-class studio solutions that power the next generation of content creation.

In this position, you will have the opportunity to work in a wide variety of areas, such as:

• Designing orchestration of compute, disk, network, and other resources across globally distributed systems
• Integrating with core Netflix technologies and third-party solutions to deliver a cloud provider for studio needs
• Developing and advancing core VM, container, network, and storage technologies to support complex creative workflows

You will be successful in this role if you enjoy:

• Being self-motivated, working independently, and partnering with a diverse group of engineers and product managers across different functional areas and organizations
• Empowering other engineers by building and operating robust, scalable, and highly available infrastructures, with a focus on developer experience, observability, and operational excellence
• Thriving in ambiguity, diving deep to understand problems and customer pain points, and solving them using appropriate technologies
• Being an evangelist for high quality code and engineering best practices.
• Assisting in the career development of others, actively mentoring individuals, and helping build technical communities across the organization
• Living the Netflix’s culture and thinking you would thrive here

Required Skills

• Have 5+ years of expertise in Go, Java, or similar object-oriented languages, with confidence and experience in debugging and problem-solving skills
• Have a demonstrated history in designing, constructing, and managing large distributed systems with high availability, fault tolerance, and performance that are spread across multiple global regions and networks
• Have solid experience in setting technical directions for engineering projects, making architectural decisions, and influencing partner and cross-functional teams
• Familiarity with Linux and Linux systems programming
• Experience with IaaS providers such as AWS, GCP, and VMware

Bonus Skills

• Proficient with gRPC API design and implementation
• Working experience with Kubernetes and PaaS offerings such as Heroku and CloudFoundry
• Working experience with KVM, QEMU, libvirt, OpenFlow, Open vSwitch

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Netflix has been changing the way people watch shows and movies, and we've built a global Content Delivery Network called Open Connect, which sets the standard for video delivery.  We have also recently embarked on a journey to expand into cloud games, stream our content live, serve ads, and more. All this creates an exciting variety of opportunities and technical challenges.

To embrace all these challenges, we are looking to add a software engineer with expertise in building scalable distributed systems solutions, informed by analytics, to the Open Connect Control Plane team to continue to craft the scalable, reliable systems needed to build and scale all our offerings.

The role involves building:

• Cloud services that customers directly hit when they press ‘Play’.
• Algorithms that smartly steer customers to Open Connect appliances such that they have the best possible Quality-of-Experience, taking into account network latencies, resource availability, and other factors.
• Algorithms to understand and optimize hardware utilization and cost efficiency, evaluated against intuitive and business-critical performance metrics.
• Operational knobs and tools to quickly diagnose and fix problems as they arise.

We spend our time trying to answer questions like these:

• What do we need to build in order to be a cost efficient and resilient platform?
• How do we design our models and systems to adapt appropriately to heterogeneous resource availability, and demand, including in real-time?
• How do we build scalable solutions that automate deploying content to servers in our CDN globally as fast as possible, while not impacting performance metrics?
• How do we build knobs/visibility/alerting to effectively and scalably operate complex systems?
• How do we make our optimization approaches easy to operate and understand?
• What are the performance metrics we can evaluate our systems against over-time?

We are looking for someone who identifies with the following:

• You build robust, responsive, and scalable systems.
• You care about building quality software that your teammates can support.
• You are familiar with parametrizing your problem and optimization algorithms.
• You have a passion for operational excellence, educating others, and rigor.
• You use a data-driven approach when helpful to inform your design decisions.
• You are comfortable with ambiguity.
• You are able to iterate quickly on ideas and incorporate feedback.
• You believe that fostering an inclusive environment helps everyone do their best work.

Basic Qualifications:

• Distributed Systems Experience (e.g. Java).
• 5+ years of software development.
• Experience building and operating business-critical, real-time systems at scale.
• Basic background in networking concepts.
• Analytics experience (e.g. experience with Python or SQL or Notebooks, etc.).

Nice To Have:

• Behavioral modeling (e.g. experience with Tensorflow, Spark, Presto, etc.).

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged. We wrapped up our first two years of the journey and are well into year three with more exciting things to come!

Our Team

The Ads Platform Engineering org builds advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - a unique mix of client and server-side ad insertions, state-of-the-art content delivery systems, ad encoding recipes, content understanding and metadata, etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.

The Campaign Management team is central to orchestrating the end-to-end campaign lifecycle and media planning capabilities for Netflix’s advertising business. We are building innovative, in-house ad tech solutions that empower advertisers and internal stakeholders to seamlessly plan, launch, monitor, and optimize campaigns at scale. Our systems serve as the bridge between advertiser intent and ad delivery, enabling seamless integration, automation, optimization, compliance adherence, troubleshooting, and management of advertising campaigns. We closely collaborate with partner teams across Order Management, Creatives, Audiences, Forecasting, Measurement, Reporting, and more to facilitate effective campaign management and media planning on behalf of our members, advertisers, and Netflix.

The team focuses on a few key areas in those domains

• Building applications and APIs that support every stage of the campaign management process, from initial creation through to campaign activation and completion.
• Building applications for full-cycle campaign management - from setup through to monitoring and troubleshooting through to completion.
• Providing transparency on performance as well as delivering actionable insights and recommendations to users
• Collaborating with other stakeholders across Ads Platform (Engineering, Product, Data Science, and Design) to build solutions that will provide leverage for our technology and business.

Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.

We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Skills & experience we’re seeking:

• 5+ years of experience, 2+ years of experience in Ads domain
• Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.
• Familiarity with the campaign lifecycle - from IOs and Line Items through to troubleshooting underperformance and leveraging past campaign metrics to inform future campaign set up
• Familiarity with the main aspects required for a successful campaign - including, but not limited to Audiences, Creatives, Measurement, Forecasting, Ad Serving, Reporting, Billing, and OMS.
• Developed many cloud-based applications and comfortable with modern programming languages (preferably object-oriented),
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Excellent communication, negotiation, and relationship-building skills.

Nice to haves:

• Contributed to an ads industry technology standard (e.g  VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
• Working knowledge of AI/ML/genAI techniques and an ability to apply them to sales processes such as channel, product, targeting, budget recommendations.
• Familiarity with legal compliance and changing landscape of ads regulations around the world.
• Experience working in the CTV space and knowledge of its unique constraints
• Experience working with ads on Live content

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Games Experiences Platform team is the core integration layer between game developers, players, and the Netflix ecosystem. We provide the SDKs, APIs, core services, and foundational infrastructure that enable delivery of delightful, high-quality player experiences with agility, consistency, and reliability.

We are seeking a Senior Android Engineer to innovate and build the next generation of Games SDK product experiences. You will play a pivotal role in building the products and features that enable game developers to integrate their games into the Netflix service. In the process, you will help create an immersive environment for Netflix members to discover and play games.

What you will do

• Develop product features and foundational infrastructure for the Android Games SDK and corresponding bindings to common game engine plugins (Unity, Unreal)
• Collaborate cross-functionally with product, design, and engineering partners to define project roadmaps and build delightful player experiences
• Architect maintainable, performant Android client code with effective documentation
• Design code for testability and write automated tests to help uphold product quality.
• Stay informed about cutting-edge Android technologies and software engineering practices to modernize the codebase, accelerate innovation, and maintain high product quality.

What sets you apart

• You are an Android expert passionate about crafting intuitive and seamless user experiences.
• You are a self-starter who excels at identifying opportunities and defining & driving forward-looking technical roadmaps.
• You are comfortable with uncertainty and ambiguity.
• You exude developer empathy. You have great intuition for making a clean, easy-to-use API for game developers to integrate Netflix services.
• You thrive on cross-functional collaboration. You have excellent communication skills and can translate objectives and concerns across teams, creating greater alignment among all stakeholders on a project.
• You are adept at analyzing data to gain insights that drive product improvements.

What skills are important to us

We value aptitude over experience, but here are some key skills that will make you successful on this team:

• Exceptional coding skills, especially with Kotlin and Java, and proficiency in navigating different languages and technology stacks.
• Experience developing third-party SDKs.
• Deep understanding of the technical landscape of Android development, and can introduce new paradigms and practices.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The goal of our Content Management & Distribution Data Science and Engineering team is to enable operational and creative excellence in the distribution and promotion of our content on our service. We collaborate closely with our partners in the Product Discovery & Promotion organization, and our work directly contributes to launching high-quality content on our service and helps our members discover content they will love. We conduct analyses, build analytical tools, and develop models to help our partners execute on these primary objectives. 

We are looking for a talented Research Scientist to join our Merchandising & Content Understanding pod, which focuses on deepening our content metadata across all formats and improving the discovery experience on our service. You will design and develop models and conduct quality evaluations for algorithms that will power the next generation of capabilities for our business. You will partner with our world-class team of creative production practitioners and various cross-functional teams to shape strategy and deliver impact via machine learning and artificial intelligence solutions. Interested? Read more about the job description and qualifications below!

What you will do:

• Collaborate closely with stakeholders in Product Discovery & Promotion to learn deeply about content metadata and merchandising and identify potentially impactful problems to solve via scalable machine learning and artificial intelligence solutions
• Develop innovative systems and models that empower decision-making for stakeholders and product features that can deliver member joy by leveraging a wide variety of metadata and production media generated by and collected from our productions throughout their end-to-end lifecycle
• Collaborate with team members and cross-functional partners to operationalize your models so that they can be integrated seamlessly into operational workflows
• Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding machine learning algorithms and system architectures

Your background and characteristics:

• Ph.D. or MS degree in a quantitative or computational field
• 4+ years of full-time work experience in one or more relevant machine-learning roles
• Practical experience in supervised, unsupervised, and deep machine learning methods
• Practical experience applying machine learning and Gen AI solutions to video, audio, and/or textual data sources, and developing quality evaluations via mechanisms such as LLM-as-a-judge or LLM juries
• Practical experience operationalizing or productionizing machine learning and/or artificial intelligence solutions
• Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process
• Exceptional written and oral communication with technical and non-technical audiences

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Content and Business Products team builds technology to scale Netflix's content operations from concept to streaming. We create systems and services that enable teams worldwide to plan, produce, distribute, and promote our titles. This role sits within the Content Foundations team, which creates both end-user applications and developer platforms that ensure reliable data and efficient workflows across our content lifecycle.

We are looking for a Technical Product Manager to drive the strategy and evolution of our application development platforms. Your goal is to reduce cognitive load for engineers by abstracting infrastructure complexity and integrating AI-native capabilities into our foundational systems. You will partner closely with engineering to simplify the software development lifecycle, transforming disparate tools into a seamless 'paved road' that accelerates innovation. This is a rare opportunity to build at the intersection of massive scale and developer experience, directly impacting how content is created, managed, and delivered to hundreds of millions of members worldwide.

What You Will Do

• Define Platform Strategy: Drive the long-term vision and roadmap for foundational application platforms, balancing immediate engineering needs with long-term architectural shifts (e.g., integrating AI-driven development workflows).
• Simplify Developer Experience:  Identify and eliminate friction points for Netflix engineers. Deliver cohesive managed runtimes and developer solutions that enable teams to build complex, stateful applications without managing underlying infrastructure.
• Champion a "no-ops" mindset where platform tooling abstracts operational complexity.
• Accelerate Adoption: Partner with engineering leaders across Content and Studio teams to drive migration from legacy systems to modern platforms
• Measure Success: Define and track metrics related to platform reliability, and adoption, ensuring our investments deliver measurable improvements in engineering productivity.
• Evangelize the Platform: Act as the primary advocate for the application developer platform. Author strategy memos and represent the team's work to senior leadership.

What We’re Looking For

• 7+ years in Product Management building and scaling technical developer platforms, or workflow automation tools
• Deep technical fluency in distributed systems, event-driven architecture, and the software development lifecycle (SDLC) with the ability to debate architectural trade-offs with engineering leads
• Developer-Centric Mindset: You view internal platforms as products that must delight their users. You understand the high cost of context switching and are dedicated to removing friction from engineering development
• Strategic Thinking: Ability to Connect technical platform capabilities to broader business goals
• High AI Literacy: Experience launching or integrating AI-enabled developer tools (e.g., coding assistants, AI agents) or leveraging AI to optimize workflow automation.
• Influence without authority: Proven ability to align cross-functional teams and drive organization-wide change management and platform adoption.
• Communication skills: Excellent written and verbal communication, with the ability to translate complex technical concepts for diverse audiences.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $310,000.00 - $545,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Content Promotion & Distribution operates where studio capabilities meet member experience. Our team is at the forefront of transforming how we catalog, promote, localize, and distribute content. We’re seeking a Principal-level individual contributor with deep technical expertise, a strategic vision for scalable, high-quality AI systems, and a strong track record of delivering meaningful impact.

In this rare opportunity, you will help shape the future of content promotion and distribution by leveraging AI, and by building end-to-end agentic solutions that streamline and evolve complex workflows, unlocking entirely new products and experiences. If you’re passionate about building the next wave of AI technology and want to make a lasting impact on how Netflix distributes and promotes content, we’d love to talk with you.

*Responsibilities*

• Serve as a domain expert and thought leader, shaping the technical vision by identifying high-impact opportunities and bringing solutions to complex business problems across the content product ecosystem.
• Lead the design and development of the ML/AI architecture of Netflix’s Content Promotion & Distribution, spanning agentic solutions, multimodal media understanding, and generation.
• Partner with Netflix’s platform teams to define, prioritize, and champion high‑leverage capabilities by translating technical architecture needs into concrete platform and infrastructure requirements.
• Partner with engineering teams to design end-to-end ML data foundations for efficient, reliable multimodal data annotation, processing, and storage, and to design and implement algorithm and workflow observability and telemetry.
• Help define rigorous and scalable evaluation frameworks, leveraging offline/online evals, A/B testing, and human-in-the-loop reviews.
• Help de-risk new initiatives through hands-on discovery, prototyping, and scoping.
• Lead the design of horizontal foundational capability layers that scale across use cases, connecting dots across verticals and replacing siloed builds with shared paved paths.

*About You*

• Proven track record of designing and productionizing advanced AI systems that integrate capabilities across vision, text, audio, and video modalities.
• MS or PhD in ML, Computer Science, or related fields.
• Significant experience in building, deploying, and evaluating robust agentic systems in production environments.
• Comfortable with ambiguity and minimal process, able to take ownership and independently lead projects
• Skilled at establishing strong partnerships with a diverse range of cross-functional teams, fostering collaboration and alignment.
• Ability to inspire, mentor, and guide team members and stakeholders without relying on formal authority.
• Passionate about staying at the forefront of AI advancements and contributing to the broader AI community.
• Netflix culture resonates with you.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $890,000.00 - $1,690,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Content & Conversation Modeling team delivers high-leverage ML solutions using Netflix’s unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for a senior machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix. 

In this role, you will:

• Innovate on a suite of predictive models to help inform our content strategy.
• Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
• Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
• Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
• Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
• Live Netflix values while bringing a new perspective to continue improving our culture.

To be successful in this role, you have:

• An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
• Exceptional communication skills. Able to explain complex technical concepts clearly to cross-functional partners with differing technical backgrounds.
• Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
• A passion for scaling your ML solutions in collaboration with your team. You seek to build modularly, for resilience, and in ways where others can take on your code when you’re away.
• Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX)
• An advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field with a focus on machine learning and predictive modeling.
• Relevant experience in one or more machine learning roles.
• An appreciation of the creative and entertainment industry is definitely a plus.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to enhancing our understanding of our audience and content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.

The Opportunity

The ML Insights & Visualizations team builds powerful tools and platforms that enable hundreds of AI/ML practitioners across Netflix to develop, deploy, and monitor business-critical models. Our mission is to deliver seamless, intuitive, and insightful experiences that boost productivity and innovation for teams working on personalization, growth, commerce, ads, content, and studio AI/ML algorithms.

We are seeking talented Full-Stack Engineers to join us in developing end-to-end solutions that span UI, backend, and data layers. You’ll work closely with product managers, ML engineers, data scientists, and other cross-functional partners to create robust observability and visualization workflows for cutting-edge AI/ML models, including bandits, multi-task learning models, Large Language Models (LLMs), and other foundation models. 

What You’ll Do

• Design & Build End-to-End Solutions: Develop and maintain web-based internal tools and platforms that help AI/ML practitioners visualize, monitor, and operate AI/ML models and pipelines.
• Enhance Observability: Build and improve dashboards for model observability, anomaly and drift detection, cost monitoring, and system health.
• Improve User Experience: Collaborate with users and stakeholders to gather feedback and deliver intuitive, seamless, and impactful user experiences.
• Drive Product Excellence: Continuously improve our systems, codebase, and team processes to enhance overall performance. Introduce and champion best practices in full-stack development.
• Cross-Functional Collaboration: Partner with engineering, product, and research teams distributed across multiple US-based time zones to deliver impactful solutions and drive ML/AI innovation at Netflix.

Must-Have Skills

• Full-Stack Development: Proficiency in modern UI frameworks (React preferred), JavaScript/TypeScript, Node.js, and building scalable backend systems (Java, Scala, or similar; Spring Boot or equivalent frameworks).
• Cloud Experience: Hands-on experience with public cloud platforms (AWS, Azure, or GCP).
• Data & Observability: Familiarity with ML model lifecycle management, logging, metrics, analytics, and building tools for data visualization and observability.
• Legacy & Modernization: Experience in maintaining and improving legacy systems, with the ability to evaluate tradeoffs between refactoring, rebuilding, and buying solutions.
• Strong Communication: Excellent written and verbal communication skills, with a proactive approach to cross-functional collaboration.
• Education: BS/MS in Computer Science, Applied Math, Engineering, or a related field, or equivalent practical exp.

Nice-to Have

• Experience building UI tools for ML practitioners or data scientists.
• Deep understanding of ML model development, deployment, and monitoring workflows.
• Track record of shipping and refining products based on user feedback.
• Passion for data-driven product development and improving engineering productivity.

About You

• You’re passionate about empowering others and building tools that create leverage for ML/AI practitioners.
• You thrive in ambiguous environments and can deliver results while investing in long-term solutions.
• You’re collaborative, value diverse perspectives, and contribute to a culture of inclusion and excellence.
• You’re curious, eager to learn new technologies and domains, and enjoy mentoring others.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Our Commerce Data Science team works with a broad range of collaborators and stakeholders, including Product, Engineering, and Finance, to inform commerce strategy and data-informed decision-making through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen. 

As part of our investment in next-generation commerce and identity capabilities, the Identity team is responsible for building a unified, individual-level identity platform that will serve as the core foundation for future product experiences. This cross-functional, cross-domain effort will reshape how we understand our users and how identity signals are captured, connected, and used across the Netflix ecosystem. Our mission is to deliver a more consistent, accurate, and personalized experience for every individual who interacts with Netflix. We are hiring founding data scientists to help define this space from the ground up and develop the scientific frameworks that will power new commerce experiences at global scale.

As a Data Scientist, you will join a team of other stunning Data Scientists, Analytics Engineers, Machine Learning Scientists, and Research Engineers. You will use data to identify opportunities and help shape product decisions. 

In this role, you will:

• Effectively identify and leverage experimentation and other analysis techniques, as appropriate, to solve business problems
• Be a strategic thought partner with commerce, product, engineering, analysts, data engineering etc
• Influence decision-making through data-driven insights and recommendations
• Proactively identify and perform data exploration to inform future product directions
• Prioritize competing demands toward the most impactful items
• Develop and validate the appropriate metrics to measure success in a given product area
• Contribute to the excellence of experimentation methodology within the Netflix data science community
• Live Netflix values while bringing a new perspective to continue improving our culture

To be successful in this role, you have:

• An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• Strong statistical skills such as regression and A/B testing experimentation
• Strong data manipulation and quantitative programming skills in SQL and Python or R
• Experience designing experiments and familiarity with observational causal inference methodologies
• Exceptional communication with technical and non-technical audiences
• Willingness to learn and rapidly absorb business context
• Comfort with ambiguity; ability to thrive with minimal oversight and process

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are in the midst of major transformative developments for the Netflix product with the launch of an Advertising supported plan, Games and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and breadth of our internal data ecosystem. We manage one of the largest paid subscription businesses and are committed to handling our members’ data with a high degree of care towards appropriate use as well as compliance with local privacy laws and regulations in the 190+ countries where we operate.

The Privacy and Legal Data Engineering pod builds scalable data management and extraction frameworks which are at the core of our ability to hold ourselves to the highest data privacy and hygiene standards in the industry.

We are looking for a Data Engineer to help augment our ability to build these robust, scalable privacy centric data frameworks. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data; and build high quality data frameworks that enable appropriate handling of customer personal data.

The ideal candidate will bring a strong track record of having built data systems and frameworks to strengthen the privacy posture at large consumer businesses. They will have a deep background in distributed data processing and share our passion for continuously improving the ways we handle data to make Netflix's data privacy posture better.

Who you are:

• Passionate about consumer centric data privacy and risk mitigation for the business
• Highly proficient in at least one of Java, Python or Scala with at least 8 years of software/data engineering experience
• Proficient in advanced SQL and effective in a complex data environment
• Highly experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large scale data sets
• Comfortable working cross functionally with multiple types of stakeholders groups
• Able to successfully lead large, complex systems design and implementation challenges independently

What you will do:

• Design and implement elegant frameworks to scalably meet various internal and consumer facing data privacy and legal needs
• Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
• Develop a deep understanding of the data ecosystem at Netflix from a privacy lens
• Partner with the privacy engineering teams to understand product goals and provide data which enables us to respond to customer and regulatory data requests
• Mentor and inspire teammates while elevating the impact of the team
• Enable Netflix to effectively manage legal and regulatory risk and compliance while maintaining a high standard of consumer data privacy expectations

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Netflix Infrastructure Engineering organization drives business growth and innovation through a robust platform essential to Netflix's scale and operations. We minimize time spent on undifferentiated heavy lifting, streamlining developer workflows and reducing toil. This allows our engineers to concentrate on what truly matters: helping Netflix entertain the world.

The Opportunity

We are seeking a Product Manager to help shape the future of our cloud infrastructure product portfolio. Cloud Infrastructure serves as the backbone for Netflix's growing scale and engineering productivity, representing a critical strategic capability spanning compute, networking, storage, infrastructure management, performance engineering, and platform services. It enables engineering velocity, scalability, cost efficiency, and operational excellence across the organization. In this role, you will drive the vision and strategy for specific areas within our cloud infrastructure domain, helping to shape key components of this foundation to optimize resources, improve developer productivity, and maintain our competitive edge as we continue to grow globally.

Based on business priorities, you'll drive key strategic initiatives such as:

• Efficiency Insights: Enabling financial accountability for cloud resources by driving a product strategy for cost visibility, optimization, and governance. You'll partner with engineering on capabilities that provide visibility into cloud spend, surface actionable recommendations, and establish cost governance controls. These tools will help teams understand their cloud costs, identify savings opportunities, and make informed resource decisions, ultimately driving more efficient use of our cloud infrastructure.
• Infrastructure Management: Driving the evolution of our infrastructure management capabilities through modern infrastructure as code solutions that provide a unified experience for configuring and managing cloud resources. You'll address challenges like fragmented interfaces and complex configuration experiences by creating a unified configuration experience (across DSL, UI, CLI, API) with intent-based interfaces that abstract away complexity while allowing users to access lower-level controls when needed. This work will reduce toil and improve productivity across teams that provide and consume infrastructure services.

This is a unique opportunity to partner with leadership to shape the future of Netflix’s cloud infrastructure, identifying highest-impact opportunities as our needs evolve and driving significant improvements in how we manage and optimize our cloud resources.

What You Will Do

• Deeply understand customer needs, product analytics, and industry innovation to drive the product vision and strategy for cloud cost efficiency and infrastructure management
• Partner with engineering teams and stakeholders to define and align on vision, strategy, and roadmaps that maximize business and customer impact
• Develop product roadmaps that execute on the product vision and inform engineering teams of what problems need to be solved
• Define how we will measure the success and effectiveness of our products and drive the execution and continuous evaluation of those metrics
• Create strong partnerships with Netflix engineers, establishing continuous feedback loops to better understand their problems
• Ensure we are solving the right problems by sourcing input from multiple channels and prioritizing effectively
• Stay informed about industry advancements, influence their direction, and conduct comprehensive buy vs. build analysis
• Ensure that our product evolution thoughtfully addresses product lifecycle and adoption/migration experience
• Help evolve Platform Engineering's customer engagement model, communication strategy, and prioritization practices

What We're Looking For

• 7+ years of experience as a Technical Product Manager
• Demonstrated expertise in cloud infrastructure, preferably AWS
• Familiarity with modern infrastructure management approaches, which may include infrastructure as code, cloud resource management, or similar technologies
• Experience with infrastructure as code tools and platforms (e.g., CloudFormation, Terraform, Pulumi)
• Experience with cloud efficiency and optimization
• Experience managing and evolving products in the cloud infrastructure space
• A healthy blend of technical knowledge with a customer-focused mindset and empathy
• Strategic thinker who can connect customer use cases to technology solutions and think holistically about end-to-end experience
• Ability to adapt focus across multiple initiatives while maintaining strategic continuity
• Comfortable applying a combination of qualitative and quantitative methods to define success
• Product intuition and judgment to solve problems and make decisions without perfect information
• Insatiable curiosity to learn new domains, keep up with industry innovation, and constantly ask 'why'
• Excellent communication skills; timely communication with clear expectations

More About Cloud Infrastructure @ Netflix

• Cloud Efficiency at Netflix
• How Netflix Accurately Attributes eBPF Flow Logs
• Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $440,000.00 - $725,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

At Netflix, we have an insatiable desire to continually improve our products and deliver new experiences to delight and entertain our quickly growing membership. The Principal Product Manager - Games - Social Platform is a senior, cross-functional leader who will apply their strategic, analytical, and relationship-building expertise to develop and execute our roadmap for bringing our members together to play games via social experiences like online and co-op multiplayer, sharing, chat, and more.

What you will do:

• Own the games social platform strategy, developing products our first and third party game studio partners will use to connect members to each other, as well the expression of these social features within the Netflix apps themselves.
• Utilize consumer research, analysis, partner interviews, and user testing to advance our understanding about how social experiences for games will drive member joy.
• Drive strategic alignment across Netflix’s Games and Product & Technology organizations about which social experiences we should enable, where we should enable them, and the impact we expect them to create.
• Collaborate closely with engineers to execute on the development of back-end systems for game development partners and the tooling to enable them to provision and optimise those experiences.
• Own the games social experience for our members, bringing together teams from across the company to create a unified strategy and roadmap for enabling member-to-member relationships and communications.
• Collaborate with Games Leadership and Business Development Leads to identify opportunities to expand and accelerate the availability of our Social offerings through external partnerships.
• Manage the risk assessment of social features and mitigation plan in partnership with Trust and Safety, Legal, and Player / Customer Support.

You are the ideal candidate if:

• You are an experienced product manager & product leader, passionate about games and deeply familiar with gaming ecosystems and platforms. Your curiosity has made you a passionate expert in all things Gaming as both a player and a product developer. You have demonstrated industry experience in the games industry and environment, its revenue streams, business models, industry trends, and the needs of both gamers and game developers.
• You possess deep awareness of the ways in which games facilitate and amplify strong social connections between players, and you have a strong perspective about the joy that social experiences can bring to players when done well (and the hazards they pose when done poorly). You understand the interplay between game-specific and platform social experiences, and can help partners on either side elegantly connect the two.
• You think strategically and you prioritize ruthlessly. You excel at synthesizing market feedback and industry insights and identifying opportunities to shape product innovation. You partner well with data analysts, researchers, and product designers to clearly identify the highest value problems to solve for our members.
• You communicate with exceptional clarity and thrive as a collaborator in highly cross-functional environments. You engender trust and exemplify leadership without authority. You build bridges between functions, teams, and stakeholders and can clearly define a product vision around which others rally to deliver a unified product.
• You feel comfortable operating in a lean and nimble environment. You exemplify good judgment in identifying, prioritizing, and leading innovation projects. You are adaptable, empathetic, and future-oriented. Challenges pique your curiosity and compel you to lean in.

Requirements

• 10+ years of experience in product management or related business areas, with direct experience working on social products / systems in video games.
• A passion for enhancing the customer experience through data-driven insights and user feedback, with the ability to translate complex technical concepts into intuitive and engaging solutions.
• Proven ability to think strategically, work collaboratively, and lead complex and highly impactful cross-functional projects from concept to completion
• Technical background or strong understanding of technical systems & platforms and the ability to communicate with and challenge both technical and non-technical audiences.
• Ambitious self-starter who deals well with ambiguity and a fast paced, multiple project environment
• A history of achieving product outcomes through user testing and data driven decision making.
• Experience translating UX testing and feedback into impactful new features
• Passion for the digital gaming space

Does this sound uncomfortably exciting? Please don’t self-select out; let’s figure it out together. We’d love to talk to you! 

Location: West Coast, with some travel to Los Angeles or Los Gatos, CA as needed ​

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $660,000.00 - $1,000,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

In April 2022, we announced that we are creating a new lower-priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix!  

The Media Planning and Recommendation team in Ads DSE at Netflix’s mission is to help build an industry-leading media planning suite for the success of Netflix’ the ads business. We conduct analyses and build Machine Learning models and algorithms in product and targeting recommendation, all with the ultimate goal of creating more choices and joy for our members. As a leader in this space, you will work closely with partner teams in Product and Engineering to think big about our business goals and draw the blueprint for how we can achieve them through models and algorithms. Your team will apply strong analytical rigor to evaluate ideas, dissect problems, build models and workflows, provide recommendations and drive success on end-to-end initiatives in this 0 - 1 space.

Responsibilities:

• Hire, inspire, and grow high-performing Machine Learning Scientists, Data Scientists, and Analytics Engineers.
• Lead strong partnerships with stakeholders from across the business - from product management, engineering, consumer insights, content, and strategy.
• Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.
• Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.
• Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.
• Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence & impact the business.

The Ideal Candidate:

• Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions.
• Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization.
• You are a player-coach. You can develop roadmaps and strategy, but also execute on technical work and ensure that your team produces consistent high quality outputs.
• Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences.
• Experience building and leading hybrid Data Science and ML teams in the Ads space.
• Capacity and passion to translate business objectives into actionable analyses, and use analytics to guide product and business with quantitative recommendations.
• A passion for TV and movies and defining the future of entertainment.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $470,700.00 - $828,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The goal of our Content Understanding team is to enable operational and creative excellence in the distribution and promotion of our content on our service. We collaborate closely with our partners in the Product Discovery & Promotion organization, and our work directly contributes to launching high-quality content on our service and helps our members discover content they will love. We conduct analyses, build analytical tools, and develop models to help our partners execute on these primary objectives. 

We are looking for a talented machine learning engineer to join our Merchandising & Content Understanding pod, which focuses on deepening our content metadata across all formats and improving the discovery experience on our service. You will design and develop models and infrastructure for algorithms that will power the next generation of capabilities for our business. You will partner with our world-class team of creative production practitioners and various cross-functional teams to shape strategy and deliver impact via machine learning and artificial intelligence solutions. Interested? Read more about the job description and qualifications below!

*What you will do:*

• Collaborate closely with stakeholders in Product Discovery & Promotion to learn deeply about content metadata and merchandising and identify potentially impactful problems to solve via scalable machine learning and artificial intelligence solutions
• Develop innovative systems and models that empower decision-making for stakeholders and product features that can deliver member joy by leveraging a wide variety of metadata and production media generated by and collected from our productions throughout their end-to-end lifecycle
• Collaborate with team members and cross-functional partners to operationalize your models so that they can be integrated seamlessly into operational workflows
• Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding machine learning algorithms and system architectures

*Your background and characteristics:*

• Ph.D. or MS degree in a quantitative or computational field
• 4+ years of full-time work experience in one or more relevant machine-learning roles
• Practical experience in supervised, unsupervised, and deep machine learning methods
• Practical experience applying machine learning and Gen AI solutions to video, audio, and/or textual data sources
• Practical experience operationalizing or productionizing machine learning and/or artificial intelligence solutions
• Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process
• Exceptional written and oral communication with technical and non-technical audiences

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The personalization data engineering team is responsible for building large, web-scale datasets used for enabling and improving member experience. These datasets are integral inputs to our machine learning algorithms, which drive the exceptional experiences our members enjoy. 

About the role

Given the size, complexity and criticality of our datasets, we are looking for a Software Engineer with a deep analytical mindset and experience with modern distributed systems. As a member of this team, you will drive innovation in big data processing by contributing and adding to the team’s suite of data products and frameworks. You will also have the unique opportunity to partner with our world-class algorithm teams to drive continuous improvement and innovation to Netflix personalization.

Skills required for this role:

• Expertise in building production data systems (using Spark, Flink, etc.) on web-scale datasets.
• Proficiency in at least one major programming language (e.g. Java, Scala) and ability to pick up new tech skills independently.
• Hands on experience with schema design and data modeling, with an unmistakable passion for elegant and intuitive dataset design.

Qualities we value:

• You have a passion for engineering excellence and tolerance for ambiguity in a fast-paced setting.
• You are independent and can allocate your time judiciously. You employ organizational context to resolve competing priorities.
• You are able to strategically partner with diverse stakeholders to drive innovation.
• You seek to drive change and influence others through clear and effective communication.
• You are both a leader and a learner and can smoothly inter-operate between the two personas with humility and maturity

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $413,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Ads data engineering team builds centralized and large-scale datasets that support the overall goals of our Ads data initiatives, focusing on the creation of standardized, scalable datasets, frameworks, and integration mechanisms to enhance discoverability, accessibility, and usability for all stakeholders within the Ads organization. We deliver data as a product through defining core foundational data and providing reusable, consistent, and curated datasets that typically unify data from various systems and data producers, ensuring we account for any changes upstream, such as new ad products (e.g. what is pitched and sold to Netflix advertisers), event types, or integration channels, so our customers have the data they need to build solutions and make decisions. 

We are looking for a stellar Data Engineering Manager who can lead a team of talented data engineers and oversee the Ads inventory and demand management (forecasting, simulation), pricing/packaging, media planning data, sales performance data, and sales workflow automation. This role is critical to building reliable, scalable systems that enable accurate inventory prediction, packaging, and sales operation excellence. Your leadership will ensure the creation of robust, scalable, and efficient data pipelines and platforms, enabling Netflix to deliver targeted and impactful advertising experiences to our members while maintaining a strong commitment to data privacy and security.

In this role, you will:

• Lead a team of strong engineers building high-scale, highly reliable data processing systems serving the Ads domain.
• Build a strong team vision and roadmap for the team.
• Effectively partner with a diverse group of stakeholders to enable healthy and impactful collaboration among teams.
• Offer direct, constructive feedback grounded in empathy. Help team members amplify their strengths and grow through their challenges. Be a thought partner in their career development.
• Monitor and proactively address any drain on the team's productivity and efficiency, ensuring the team can focus the majority of their efforts on innovation.
• Hire and grow a diverse, high-performing team of top-tier data engineering talent.

What we are seeking in an ideal candidate:

• You have 8+ years of experience in data engineering.  You have strong programming (at least 1 major language) and SQL experience in your background.
• You have 3+ years of engineering leadership experience, preferably in the Ad tech domain.
• You see what’s ahead and advocate for smart investments, efficiency, innovation, and long-term value.
• You attract top talent and build inclusive, high-performing teams. You know great outcomes start with great people.
• You care about your team’s growth and well-being. You handle tough conversations with empathy and clarity.
• You have a strong engineering background and can guide teams to deliver great technical outcomes. A BS in Computer Science/Engineering or a related discipline.
• You have strong experience with distributed data processing technologies (i.e. Spark/Hadoop/flink, etc.)

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $446,000.00 - $752,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Netflix’s business continues to expand in new ways to serve our global members. Whether it’s evolving how we offer best-in-class entertainment content to new forms that entertainment may take (games, live events, etc), as a global company it is important that we build high-quality infrastructure tailored to supporting innovation at scale.

The role

This role sits on the Enterprise Experience Design team, specifically in our Content Business Product Foundations department. This team is responsible for designing horizontal solutions that power our core Netflix business products including access management, notifications, data management, search, and much more. This is one of the newest teams in the Content Business Product Organization and is rapidly growing to meet the vast demands of our growing business verticals. The Media Platforms department is dedicated to providing asset intelligence, media storage solutions, and support for production and distribution enablement.

As a Senior designer, you will work at multiple levels - from strategic to tactical - from helping to define the team’s strategy and vision, to rapidly sketching and testing prototypes, to working with engineering to refine features as they are being built. We are looking for a seasoned designer who has a passion for designing for deeply technical domains, thrives in ambiguity, has a strong human-centered design process, has the desire to learn and collaborate cross-functionally, and designs systematic solutions that are equally thoughtful, elegant, and delightful.

This role is open to USA remote, but quarterly travel will be expected to our offices in California (LA or Los Gatos), New York City, or Seattle to engage in person with your team and cross-functional stakeholders. Regardless of location, you’ll be expected to work PST hours.

What you’ll do

• Partner closely with multi-disciplinary team members - Product Design, Content Design, Product Management, Engineering, Research, Operations, and others – to take the business to the next level;
• Work across all stages of the design process (user research, workflow and systems mapping, ideation, concept development, validation, prototyping, final visual design, and implementation support);
• Deeply understand users and their needs, including generative user research and exploration;
• Ability to collaborate effectively with highly technical teams, underpinned by a solid understanding of fundamental coding principles and best practices;
• Create thoughtful end-to-end user experiences that simplify the complexity underneath the UI layer;
• Conduct usability testing and iterate on designs with users;
• Partner with PMs to craft systematic solutions that connect the dots between user needs, data, business goals, and business strategy;
• Partner with engineers to build impactful products and features within the constraints of our technology and timeline;
• Facilitate collaborative work sessions with all levels of company stakeholders;
• Advance the discipline of product design within the organization and with partners and clients.

The must-haves

• 5+ years of experience in enterprise software product design;
• Track record of designing and shipping enterprise or B2B experiences that have scaled to thousands of users and had successful outcomes for global users and the business;  Ideally in the areas of foundational technology (e.g. access/security) or developer experience.
• Ability to think at a high level about product strategy and articulate a vision;
• Ability to navigate ambiguity and drive clarity that brings the user, technology, and business together into an actionable roadmap;
• Experience connecting the dots across the organization with other related initiatives across the company while driving collaboration;
• Experience designing horizontal, foundational solutions that meet the needs of diverse business products
• Exceptional communication skills, in writing and verbally, whether in small group discussions, large-scale presentations, or with executives;
• Extraordinary thoughtfulness and craft in interaction design, visual design, and prototyping;
• Humble, collaborative approach to partnering with PMs, engineers, and business stakeholders to find the best solution together;
• Mastery of Figma’s advanced features such as Autolayout, Variables, DevMode, Responsive Prototypes, etc;
• At Netflix, all roles are expected to exemplify the values outlined in our culture.

When evaluating your experience and skills we will be focusing on:

• An outstanding portfolio, showcasing your strengths in designing horizontal solutions for complex workflows - we want to understand how you map complex systems, your interaction design logic, and the rationale behind your design decisions;
• Effective English verbal/written communication and presentation skills, with the ability to successfully articulate design concepts to your team and senior stakeholders;
• Strong ability to think technically and collaborate seamlessly with engineers and data scientists as it pertains to understanding the benefits, possibilities, and constraints of common coding languages and machine learning platforms;
• Effective time management skills to balance project schedule with fast-paced deadlines;
• Strong conceptual thinking that balances user needs, business goals, and feasibility;

Please submit a portfolio and password with your application

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $350,000.00 - $520,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Developer Platform sits within the Infrastructure Engineering organization to amplify the productivity and business impact of Netflix engineers by providing a cohesive developer platform that optimizes developer experience, automates workflows, manages complexity, and accelerates the development, delivery, operations, and maintenance of high-quality software. Our mission is to enable Netflix to scale effectively and evolve rapidly by providing highly reliable, performant, secure, and flexible developer tools, services, and infrastructure. Ultimately, we aim for Netflix engineers to spend less time on repetitive engineering tasks, unnecessary complexity, and undifferentiated heavy lifting so they can focus on helping Netflix entertain the world.

The Opportunity

We are looking for a highly technical product manager to drive the vision and strategy for our Application Development Platforms within our centrally supported language ecosystems: Java, JavaScript/TypeScript and Python. The initial focus will be on the Java ecosystem with expansion over time to other languages and ecosystems.

Your primary mission is to keep developers in the flow during application development for the thousands of existing services, data processing jobs and user interfaces as well as the dozens that are created each day. You will deliver well defined and supported golden paths for developers that reduce cognitive load, increase software delivery velocity, improve reliability and alleviate the toil of software maintenance.

You will be responsible for the core components that enable this development, including:

• *Application frameworks* (i.e. Spring Boot, React, FastAPI)
• *Build & test systems* (i.e. Gradle, Vite, Junit, uv, TestContainers, pytest, Jest)
• *Libraries SDLC and dependency management*
• *Stability, Performance, and Adoption of the latest supported runtime, frameworks and tools*

What You Will Do

As the Product Manager for Application Development Platforms, you will have the following responsibilities:

• *Drive Product Vision and Strategy:* Deeply understand and triangulate across customer needs, developer productivity metrics, operational data, and external industry innovation to shape the vision and strategy for Netflix’s JVM ecosystem and Java application development offerings, ensuring they maximize business and developer impact.
• *Roadmap & Alignment:* Partner closely with senior engineering leaders and stakeholders to define a forward-looking roadmap. Align on priorities and trade-offs that support Netflix’s technology strategy.
• *Execution & Delivery:* Develop product roadmaps in partnership with engineering teams that execute on your vision. Clearly articulate problems to be solved, and see features through from idea to launch.
• *Metrics-Driven Improvement:* Define key success measures (e.g., build times, time to deploy, framework migration progress, performance metrics) and drive experiments or initiatives to continuously improve those metrics, fostering a metrics-driven mindset for developer productivity.
• *User Engagement:* Create strong partnerships with Netflix engineers through regular outreach and feedback loops. Gather input via interviews, surveys, and usage data to deeply understand their workflow challenges. Champion the voice of the developer.
• *Technical Excellence & Reliability:* Drive technical excellence in our Java application framework and runtime systems. Ensure these systems are highly reliable, secure, and performant.
• *Industry Awareness & Build vs. Buy:* Stay informed about advancements in languages ecosystems, application frameworks, and build tooling. Evaluate opportunities to incorporate cutting-edge tools or practices and conduct thoughtful buy-vs-build analyses.
• *Prioritization & Focus:* Prioritize effectively to maximize impact, balancing quick wins with foundational investments, and user experience improvements with technical scalability. Maintain clarity on short-term vs. long-term goals.

What We’re Looking For

*Experience & Skills:*

• 8+ years of Product Management experience (or equivalent technical role), with a proven track record of managing and evolving a broad product portfolio and driving product vision and strategy in a complex, technical domain.
• Strong technical knowledge and depth of application development fundamentals, the JVM ecosystem, modern application frameworks, build systems, and dependency management methodologies.
• A healthy blend of deep technical knowledge with a customer-focused mindset and empathy for engineers. You must be comfortable discussing topics like design trade-offs and system quality attributes (scalability, reliability, performance, security) with engineering teams.
• Demonstrated passion for developer platforms, tools, workflows, and infrastructure, staying up-to-date on industry best practices in DevOps/DevEx.
• Strategic thinking that can connect customer use cases and pain points to innovative technology solutions, thinking holistically about the end-to-end experience.
• Outstanding written and verbal communication skills, with the ability to influence stakeholders at all levels and navigate complex organizational boundaries.
• Comfortable applying a combination of qualitative and quantitative methods to define success, prioritize problems, and measure impact.

We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Our culture is unique, and we live by our values, so it’s worth learning more about Netflix culture.

More About Developer Platform @ Netflix

• Unifying the Netflix engineering experience with a federated platform console (video)
• Backstage in the wild (podcast)
• Telltale: Netflix Application Monitoring Simplified (techblog)
• Machine Learning for a Better Developer Experience (techblog)
• Managed Delivery: Bringing Infrastructure as Code to Spinnaker (video)

Some other links for our org:

• How We Build Code at Netflix
• Towards True Continuous Integration
• Evolving Continuous Integration at Netflix
• How Netflix Autoscales CI
• Devtools at Netflix: Culture, Speed and Innovation
• Baking Bitbucket in the AWS Cloud at Netflix

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0-to-1 space.

We are seeking an experienced Manager, Ads DSE Measurement & Audience Insights to lead the development and delivery of innovative first-party measurement solutions, enable seamless integration with third-party measurement providers, and deliver end-to-end measurement reporting that powers actionable post-campaign insights. Your team will be responsible for defining incrementality design and methodology, drive cross-platform comparability, and ensure the accuracy of our reporting frameworks. This critical role will be responsible for establishing a scientifically rigorous, privacy-forward foundation for campaign impact measurement. 

The ideal candidate will bring a strong track record of partnering with product, engineering, and regional measurement teams to build measurement products that are both technically robust and commercially valuable. Join us and help shape the future of ad measurement through science, experimentation, and productized insights!

Responsibilities

• Build, lead, and inspire a high-performing team of data scientists and analytics engineers.
• Foster strong, collaborative partnerships with key stakeholders across Product, Engineering, and GTM teams.
• Define and execute a team charter and measurement roadmap that scales with the business—prioritizing high-impact initiatives, product integrations, and standardized post-campaign reporting capabilities.
• Act as a bridge between technical and commercial teams, bringing deep understanding of the ads ecosystem—including how CTV campaigns are served, measured, and optimized—to shape both product features and go-to-market narratives.
• Oversee integration and validation of third-party measurement partners, ensuring accuracy, consistency, and interoperability with internal systems while evaluating when first-party solutions provide differentiated value.
• Ensure the delivery of consistently high-quality, statistically rigorous measurement outputs, including campaign lift results, incrementality experiments, and actionable insights that influence product direction and client strategies.
• Champion clarity in reporting and visualization, guiding the development of self-serve dashboards, post-campaign wrap reports, and executive summaries that resonate with both technical and non-technical audiences.

The Ideal Candidate

• Proven leadership experience with a strong focus on data-as-a-product solutions, including building first-party measurement frameworks, self-serve reporting tools, and actionable insights platforms.
• Demonstrated tenacity and resilience in driving complex, cross-functional projects—able to navigate challenges, propose innovative solutions, and scale measurement and reporting capabilities that meet diverse business needs.
• A dual thinker—highly quantitative and capable of translating complex data sets into actionable business insights, while also demonstrating high emotional intelligence (EQ) to act as a trusted product ambassador to internal teams and external business partners.
• Player-coach mindset—able to develop long-term measurement roadmaps and product strategies, while simultaneously executing hands-on technical tasks and ensuring the team delivers high-quality, impactful outputs.
• Excellent communicator, able to build relationships, communicate technical and non-technical information clearly, write detailed reports, and deliver compelling presentations to internal and external partners.
• Business-minded with the ability to translate strategic objectives into actionable analyses, and use those insights to drive data-driven recommendations that optimize product offerings and advertising effectiveness.
• A passion for TV and movies, and defining the future of entertainment.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

As a Senior Data Scientist focused on Infrastructure Availability, you will join a data org of Analytics Engineers, Data Engineers, and Data Scientists who partner with our infrastructure engineering teams to create metrics, build tools, perform analyses and make recommendations on how to improve the reliability and availability of our systems using data. You will work closely with partners in data science, software engineering, performance engineering and technical product management to develop metrics to assess current performance across systems and product domains, define what adequate performance looks like,  understand the root causes of availability issues, and make recommendations for how the business should prioritize system performance improvements.

The ideal candidate will excel in metric research & development, statistical modeling, causal inference, and share a passion for continuously improving the way we use data to make the Netflix infrastructure better.

To learn more about our team, read here.

*In this role, you will:*

• Develop metrics to measure the availability, reliability and performance of Netflix’s infra stack
• Partner with Data Engineering, Data Science and Analytics Engineers to productionize system level availability metrics and dashboards
• Partner with Software Engineers, Performance Engineers, Technical Product Managers and other product teams to conduct root cause and causal inference analysis of availability issues and make recommendations for how to remediate
• Connect with the larger analytics community at Netflix to bring more visibility to our work.

*You are:*

• Experienced in metric development and measurement in the domain of system reliability / availability for large, distributed systems, platforms, and/or infrastructure
• Fluent in at least one analytics and scripting language like Python.
• Experienced in engineering data pipelines and ETL in languages like SQL and workflow orchestration tools like Apache Airflow.
• Passionate about using data to help guide strategic decision making.
• An exceptional communicator with both technical and non-technical audiences. Experienced at telling stories with data and communicating to stakeholders at all levels of the business.
• Experienced in building strong relationships with stakeholders and colleagues to tackle big, cross-functional problems.
• Comfortable with ambiguity, and thrive with minimal oversight and process.
• A strong product thinker with good product sense: you know how to get at what our partners need and how to develop solutions to satisfy those needs.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

About the Role:

We are looking for a Product Manager to join our Talent Technology team. This role will play a key part in shaping and executing the roadmap for our internal talent systems. You’ll partner closely with engineering, design, data science, and stakeholders across HR and business functions to deliver seamless, scalable experiences that support the full employee lifecycle: from candidate experience to employee growth and retention. This is a high-impact role for someone who thrives in a cross-functional environment and is excited to work hands-on with engineering and business partners to deliver meaningful outcomes. This role will go deep into talent data systems and architecture to be able to lay the foundation for AI initiatives and a broader talent ecosystem strategy.

About You:

You are curious and creative, and have experience applying product management frameworks to create enterprise or consumer products. You are highly adaptable and when faced with challenges, you become more creative, not less. You like solving problems and can drive clarity to build the optimal products. You are biased toward execution and can lead the team to bring projects from concept to completion, doing everything possible to ensure a successful launch. You are data-driven with a knack for using data to identify business opportunities, have a can-do attitude, are confident, and a skilled communicator who welcomes honest and candid feedback. You are comfortable working with engineers, customers, and executives and know how to articulate your communication to each audience effectively.

Responsibilities:

• Develop and own the product strategy, roadmap, and execution for talent management systems, including but not limited to our custom solutions for  studio workforce management and feedback & performance.
• Deeply understand the needs of HR stakeholders, people leaders, and employees through research, data analysis, and close partnership.
• Translate complex business problems and talent strategies into intuitive, user-focused product experiences.
• Prioritize competing demands from stakeholders across the organization using a clear, strategic framework.
• Partner closely with engineering and design teams to deliver high-quality product experiences and solutions on time and at scale.
• Monitor product performance, adoption, and satisfaction using data and use these insights to continuously improve.
• Stay current on market trends in HR tech and bring new thinking into our product approach.
• Lead product discussions with senior HR, engineering and business leaders, influencing strategic direction.
• Have a deep understanding and empathy for customer needs, using user research and creative feedback mechanisms to validate product hypotheses and optimal product solutions.
• Be driven to explore advanced AI and large language concepts, and their potential applications in an evolving Talent Technology space.

Requirements:

• Bachelor's Degree.
• 6+ years of product management and/or data architecture experience with a strong track record in enterprise applications or HR/Talent technology.
• Brings a deep appreciation for the complexity and nuance of the talent domain, including the systems and processes that support employee lifecycle events.Knowledge of Talent Data systems and experience developing analytical systems around talent data lakes.
• Experience with GenAI and working with core engineering teams
• Comfortable collaborating with engineers and making tradeoffs based on technical considerations and business priorities
• Ability to operate strategically, envisioning scalable solutions, while also diving deep with engineers into edge cases, technical tradeoffs, and implementation details.
• Familiarity with the talent ecosystem: learning systems (LMS), employee engagement
• Self-directed and comfortable operating in a decentralized, fast-paced environment
• Empathy for internal users and ability to turn business needs into delightful product experiences.
• Lead product requirements, technical development, product testing, launch, end-user training, and rollout.
• Ability to drive and influence business decisions based on data and metrics.
• Outstanding written and verbal communication skills.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $310,000.00 - $545,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

In April 2022, we announced that we are creating a new lower-priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. We are now hiring for the founding data scientists in this fast evolving business area for Netflix!

Our goal in the Ads Audience & Identity Science team is to deepen our understanding of our ad-tier members, in order to improve advertiser performance and ensure a great member experience. We continually improve ad targeting capabilities through identity modeling, machine learning, analytics, data exploration, and optimization. Our work includes feature engineering,  modeling, lookalike algorithms, and optimization. We also provide modeling and analytics support for Netflix live content and integrations with third-party partners, with a high priority on privacy and data security. We focus on repeatable, scalable modeling for a variety of current and future applications.

This role is for a Machine Learning Scientist (L5) to focus identity modeling for our ads member base, including identity modeling, probabilistic matching, graph analytics, differential privacy, anonymization, and identity metrics.

Responsibilities

• ​​Apply modeling and machine learning techniques to business problems at the intersection of product and data science
• Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
• Diagnose data and model assumptions, curating and testing appropriate models for each dataset and business objective
• Identify, compute and validate the appropriate metrics to measure success
• Deliver well-documented datasets, tools, and reports to key technical and business partners
• Serve as a strategic thought partner to product managers and business stakeholders, directly influencing product direction and improving user experience.
• Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
• Effectively communicate findings and insights to both technical and non-technical audiences, driving adoption and understanding of ML-driven solutions.

Qualifications

• Advanced degree (PhD or Master’s) in Computer Science, Statistics, Economics, Applied Mathematics, or related quantitative field
• 5+ years of experience and high proficiency in SQL, Python; 5+ years of experience with large scale data
• Deep knowledge of machine learning, statistics, optimization, and data analysis techniques
• Experience in identity graphs, privacy, differential privacy, anonymization and identity-related concepts
• Strong business acumen and ability to translate technical results into business impact

• Excellent communication and collaboration skills

• Comfortable with ambiguity; able to thrive with minimal oversight and process

• Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Commerce Product Data Engineering team is at the forefront of optimizing the member acquisition and commerce experience globally. We are responsible for the foundational data products that drive customer sign-up, payment processing, and core commerce flows. Our work directly empowers Product Management and Data Science to run sophisticated experimentation and generate key insights that impact our global member base and company revenue.

We operate with a strong product mindset, treating data pipelines and core frameworks as high-quality products that must be reliable, scalable, and easy to use.

The Role

We are looking for a strategic and highly technical Data Engineering Manager to lead a team of talented Data and Software Engineers. This role is unique and critical as it requires balancing engineering enablement with business data delivery.

You will lead a team responsible for driving engineering excellence, tooling, and strategic partnership with the central Data Platform organization while also delivering high-impact business data products.

Key Responsibilities

1. Team Leadership & Talent Development

2. Lead and Inspire: Hire, coach, and grow a diverse, high-performing team of data and software engineers, fostering their technical and professional development through direct, constructive, and empathetic feedback.

3. Define Vision: Develop and execute a clear, impact-oriented roadmap for the team, aligning both core data initiatives and engineering enablement goals with broader Commerce and company objectives.

4. Drive Execution: Oversee the design, building, and scaling of robust, well-modeled, and reliable data products that support experimentation, analytics, and machine learning across the commerce domain.

5. Engineering Enablement

6. Build Tooling & Frameworks: Lead a critical function within the team dedicated to building reusable data frameworks, development tooling, and automation capabilities that significantly increase the productivity, efficiency, and data quality of the entire Commerce Product Data Engineering organization.

7. Operational Excellence: Define and drive best practices for data modeling, pipeline architecture, testing, and observability, ensuring a high bar for engineering excellence across the team.

8. Data as a Product: Champion the concept of data products within the team, focusing on discoverability, documentation, and the unification of data from complex upstream commerce systems.

9. Platform Strategy & Stakeholder Partnership

10. Influence Data Platform: Act as the primary technical partner to the central Data Platform team, proactively engaging to influence the direction, features, and capabilities of the core data platform to ensure it meets the unique needs of the Commerce Product Data Engineering team.

11. Cross-Functional Alignment: Build strong relationships and collaborate effectively with senior stakeholders across Product Management, Data Science, Engineering, and Finance to translate ambiguous business requirements into robust, scalable technical solutions.
12. Navigate Ambiguity: Provide clear direction and priority alignment in a fast-paced environment where business needs and technical challenges are constantly evolving.

The Ideal Candidate

• Engineering Leadership: You have 5+ years of experience in engineering leadership, managing and growing high-performing Data Engineering teams.
• Technical Acumen: You possess a strong background in data engineering, distributed systems, data modeling, and large-scale data processing technologies (e.g., Spark, Flink, or similar). You can guide complex architectural decisions and set a high technical bar.
• Tooling & Infrastructure Focus: You have specific, demonstrable experience leading efforts to build shared tooling, infrastructure, or platform features that enabled other data engineering teams to move faster and more reliably.
• Strategic Thinker: You look beyond immediate fixes to advocate for smart investments in infrastructure, efficiency, and long-term architectural value.
• Communication & Influence: You have exceptional stakeholder management skills, capable of building consensus and driving alignment across technical teams and senior business leaders.
• Product Mindset: You are passionate about the business value of data, understand the commerce/acquisition domain, and own the quality of the data products your team delivers end-to-end.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $446,000.00 - $752,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are looking for a Data Science Manager - Games Product and Platform to lead a group of Data Scientists and Analytics Engineers who are essential partners to our Games Member and Games Studio Product teams in delivering amazing on-Netflix game product and platform experiences to our Players. You will lead a team that provides the data strategy, measurement and experimentation for all games product experiences.

To succeed in this role, you’ll need a blend of data science and analytics engineering expertise, coupled with exceptional business acumen. You should have a mindset focused on standardization, scalability, and systematic frameworks, and the ability to influence senior leaders across different disciplines. Your leadership will be key to ensuring the team provides the insights that shape our overall games strategy and drive our business forward.

What you will be responsible for:

• You will enable the measurement, analytics and experimentation strategy for Games specific discovery features Players on Netflix interact with games specific surfaces to discover and engage with games content and the larger games ecosystem. You will both drive experimentation for games specific features, as well as collaborate with our member team on shared surface experiments.
• You will enable the measurement, analytics and experimentation strategy for Games Platform features
  As the Netflix Games platform expands, you will work directly with Product Managers as they build out game-adjacent features (Leaderboards, Achievements, Social etc) to track and measure their evolution.
• You will own the information flow of critical backend platform data Our internal development teams rely on device, crash and meta information on the performance of our services
• You will coach and inspire a high-performing team. You'll provide guidance and mentorship, ensuring the team's work is scalable, consistent, and delivers high-impact insights that shape our games portfolio.

Who will be successful in this role:

• You have demonstrated experience in building, managing, growing, and inspiring data science and analytics teams, with 10+ years of experience managing highly technical individual contributors.
• You have a deep understanding of data science, analytics engineering, and business analytics, with a focus on standardization, scalability, and systematic frameworks.
• You possess exceptional business acumen and the ability to effectively influence senior leaders across a variety of disciplines and business domains.
• You set the stage for your team to lead and shine - business impact and the team's success are above all else - you leave no room for ego.
• You have strong interpersonal and communication skills, with a proven ability to influence both technical and business senior leaders.

• You are comfortable with ambiguity and are a role model for the team through your consistently positive and collaborative approach.

• Ph.D. or advanced degree in Economics, Statistics, Mathematics, Business Analytics, or related field.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $525,000.00 - $950,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

This data scientist role will focus on characterizing the quality of experience specific to our nascent cloud games offering, and operationalizing it across the business to illuminate and drive prioritization against the highest impact opportunities.  You will join the team of Analytics Engineers, Data Scientists, and Data Engineers who partner with our infrastructure engineering teams to create metrics, perform analysis, and develop the tools and data products that help us make better decisions about our infrastructure and its impact on our product’s quality of experience.

What you’ll do:

• Establish the fundamental set of quality of experience metrics used to evaluate our Cloud Games sessions, which is likely to include research and development of several new metrics.
• Become the resident expert on all things Cloud Games Quality of Experience, partnering closely with Games Engineering and Games Studio teams to drive a culture of data-informed decision-making about our games title portfolio and the games platform infrastructure.
• Develop deep expertise in how the Cloud Games infrastructure works, and understand how data, analytics, experimentation, and algorithms can play an impactful role in driving improvements to its performance.
• Use a combination of experiment and observational data to understand the Netflix member perspective on their gaming experiences.  Help us understand the Netflix member perspective on their experiences.
• Translate valuable insights and data from this domain to initiatives in other parts of the business.

You have:

• Advanced training in a quantitative field (Data Science, Statistics, Mathematics, Engineering, Physics, Economics, etc) or commensurate work experience.
• Fluent in SQL. Comfortable prototyping pipelines of moderate complexity, with the ability to effectively partner with data engineering teams building more scalable solutions for important use cases
• Strong Quantitative Programming skills in Python, R experience a plus
• Passion for instrumenting and analyzing products to drive improvements to user experience, backed by strong product knowledge and intuition - ideally utilized in consumer/user interface settings or internally serving technical audiences such as engineers.
• Demonstrated effectiveness at developing meaningful stakeholder relationships and deep domain expertise.
• The demonstrated ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.
• Comfort with ambiguity, and the ability to thrive with minimal oversight and process.
• Embodied the Netflix values while bringing a new perspective to continue improving our culture.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*About Studio Tech Solutions (STS)*

For Netflix Studio to continue to scale and produce quality content, the Studio business teams work closely with product partners to innovate and develop technical solutions that support the entire content life cycle - planning, programming, producing, distributing and promoting content on a global scale. These solutions include internal enterprise applications that support critical functions, as well as short-term technical solutions that increase operational efficiency at the business user level on a smaller, rapidly iterative scale. STS works directly with business stakeholders, cross-functional product teams, and engineering partners to deliver these short-term solutions. The team's goal is to translate business challenges and opportunities for operational improvement into focused, nimble, and highly impactful solutions as an integral part of the Netflix Studio product and enterprise ecosystem.

*About the Role*

As a Solutions Software Engineer (L5) on the STS team, you'll be a part of a co-located team working out of the Los Angeles office. You'll use a broad set of internal and third-party technology and tools to contribute to highly targeted and adaptable solutions that increase operational efficiency within the Content Planning and Finance area of the Netflix Studio business. Your key areas of focus will be data ingestion and export, development of workflow automations and prototypes, third-party integrations, and contribution to the existing enterprise applications. You will interface with business users, analyze their needs, design and develop a solution, or leverage existing technology/tools with customized enhancements. Most of the solutions involve data ingestion or export tasks. While we value your ability to create well-defined systems, your effectiveness will be related to your ability to context switch effectively while developing nimble solutions for the business.

Your effectiveness in this role will be related to:

• Your ability to learn quickly and switch contexts productively in a highly collaborative development environment.
• Your curiosity to gain business and technical context to determine the efficient level of engineering investment for project scope.
• Your eagerness to share learning and project visibility with the team, partners, and stakeholders.
• Having a keen eye for identifying the team’s productivity tooling opportunities and working with partners to influence their feature roadmap.

You'll thrive in this role if:

• You are passionate about solving problems and love every aspect of the full-stack software development life cycle.
• You understand the importance of seeking in-depth and broad context to build an effective solution.
• You enjoy building prototypes and short-term solutions to help improve and empower users to innovate on business workflows.
• You are comfortable contributing to solutions at all technical levels, from scripting to building a custom application.
• You are able to pivot and iterate quickly on solutions and share learnings with partnering teams in a cross-functional environment.
• You are highly collaborative and enjoy building strong internal and cross-functional partnerships.
• You have a passion for learning and professional growth.

Qualifications:

• 4+ years of experience in full-stack development.
• Comfortable working with: Node.js, Python or Java.
• React or similar front-end frameworks.
• Experience with API integrations (GraphQL, REST and/or gRPC).
• Experience working with non-technical business stakeholders
• Keen understanding of database models and SQL.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $270,000.00 - $410,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Team

The Studio Media Algorithms team is at the forefront of algorithmic innovation to enhance and support the creation of Netflix’s entertainment content, including games. In this role, you will be embedded within this team while collaborating very closely with a specialized Games Studio R&D team. This incubation-style team is chartered to lead our investments in building new kinds of games leveraging emerging technologies to support our creators and reach player audiences in new ways.

The Role

We are seeking a Machine Learning Scientist to lead the research and development of Large Language Models (LLMs), Vision-Language Models (VLMs), and multi-modal foundations and solutions for games. This role is defined by a mandate for inference efficiency; you will not only build and fine-tune state-of-the-art models but also lead the algorithmic innovation required to make them viable in terms of cost, latency, and quality across a variety of cloud and edge devices.

You will work in close partnership with our Machine Learning Engineers to bridge the gap between "research-grade" models and high-performance deployment, with your focus being on algorithmic optimization—ensuring that our language, visual, and audio models are architecturally optimized for real-time interaction and efficiency.

Responsibilities

• Model Adaptation & Alignment: Design and own the fine-tuning and alignment of LLMs and VLMs in PyTorch, leveraging modern preference learning and reinforcement learning to enhance reasoning, tool-use, and agentic workflows for interactive game systems.
• Algorithmic Model Optimization: Lead efforts in model compression—specifically knowledge distillation, structural pruning, and architectural refinement—to create efficient variants of large models that meet strict latency, cost, and quality constraints.
• Generative Visuals & Diffusion: Develop and optimize Diffusion-based models for Image, Video, and 3D generation, including distillation and efficiency techniques for viable game-time performance.
• Pragmatic Model Integration: Strategically evaluate and integrate SOTA open-source and commercial models while building internal "layers," adapters, and enhancements to fill gaps in creative control.
• Multi-modal Interaction: Optimize and integrate audio (ASR/TTS), language, and vision models to enable low-latency, cross-modal reasoning and interaction.

About You (Requirements)

• Multi-modal Architecture Expertise:  Strong foundation in deep learning architectures, with deep expertise in Transformers and Diffusion architectures powering LLMs, VLMs, and generative visuals, including their specific performance bottlenecks.
• Optimization Specialist: Proven track record in algorithmic model optimization (e.g., distillation, quantization-aware training, or pruning) to reduce FLOPs and memory footprint.
• Data-Centric Mindset: Skilled in data cleaning, curation, and the creation of synthetic data for complex evaluation and training pipelines.
• Pragmatic Builder: Ability to prioritize impact by deciding when to use commercial APIs/OSS weights versus when to invest in proprietary R&D to solve efficiency or quality problems.
• Programming: Expert proficiency in Python and deep learning frameworks (such as PyTorch); ability to collaborate with engineering on low-level performance constraints.

Bonus Experience

• Prior experience optimizing models for heterogeneous hardware (Mobile, Cloud GPU, and custom edge devices).
• Expertise in audio-visual multimodal models and video generation.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms. You will support a highly talented team in developing cutting‑edge algorithms and systems, and collaborate closely with cross‑functional partners to enhance localization experiences for Netflix members around the world.

Responsibilities

• Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve Netflix’s ambitious localization goals.
• Mentor, support, and inspire a team of Research Scientists and Machine Learning Engineers, amplifying their impact and fostering their career growth.
• Partner with technical leads on defining area strategy, planning and executing projects, and developing talent.
• Set and operationalize a high bar for both execution speed and quality, while nurturing a culture of exceptional technical excellence.
• Bring cutting-edge technical expertise and build deep domain knowledge to uncover new opportunities and make strategic bets.
• Build strong relationships with cross-functional, cross-domain partners to shape long-term collaborations and shared visions.
• Act as a functional leader and domain expert, representing the team’s work and strengthening the team’s internal and external brand.
• Contribute to the growth and upskilling of the broader Machine Learning community at Netflix.

About you

• Proven track record of successfully leading highly technical ML research and engineering teams in multimodal LLMs, speech recognition and understanding, and generative speech.
• Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying current with the latest technical developments; have led teams to launch and continuously improve production ML services.
• Passionate about leading teams through ambiguous and complex technical and business challenges; focused on bringing clarity, structure, and effective execution.
• Strong track record in mentoring and developing talent, with proven success recruiting researchers and engineers at multiple levels.
• Master’s or PhD in Machine Learning, Computer Science, or a closely related field.
• 6+ years of hands-on ML experience (or 4+ years with a relevant PhD).
• 2+ years of experience leading ML teams.
• Exceptional verbal and written communication skills.
• Deeply committed to delivering end-to-end business impact.
• Netflix culture resonates with you.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $523,000.00 - $920,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*About the Role*
Our team is seeking a highly skilled Software Engineer to join the Broadcast Systems Team within the Live Broadcast Technology group. This role is pivotal in developing and scaling our physical broadcast workflow orchestration tooling, which is essential for automating and orchestrating live workflows at Netflix end-to-end. While this role is primarily focused on engineering our backend APIs, the team is responsible for both backend and frontend development, ensuring we can efficiently provision and orchestrate our infrastructure as we expand to new markets.

*Responsibilities*

• Develop and support the orchestration tooling, with a focus on backend components, focusing on reliability and scalability.
• Collaborate with the Live Broadcast Operations team to build and automate live workflows, reducing manual configurations and enhancing operational efficiency.
• Scale our orchestration services to support a global network of physical ingest points, addressing challenges related to ingest, routing, and control.
• Work closely with the Live Streaming Pipeline team on design and integration efforts, ensuring seamless interaction between ground and cloud systems.
• Document processes and systems meticulously to ensure clarity and consistency across teams and stakeholders.
• Engage in future responsibilities, including BOC and MCR automation, as the service evolves.

*Qualifications*

• 5+ years of hands-on professional experience in software engineering, with a focus on distributed services in the cloud.
• Strong software engineering design principles as we model complex broadcast workflows
• Extensive experience in designing and implementing comprehensive automated software testing frameworks.
• Good communication skills, both written and verbal, to effectively convey technical concepts to non-technical stakeholders.
• Proficiency in programming languages such as Java, Go, or similar, with robust programming skills.
• Strong problem-solving skills and the ability to troubleshoot complex systems.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Ability to work collaboratively in a cross-functional team environment with operations, partner development teams, broadcast engineering partners, live launch/project management teams and more

*Nice-to-have*

• Experience with 2110 networking, including timing and routing concepts
• Experience with containerization technologies such as Docker and Kubernetes.
• Familiarity with broadcast hardware and software from GrassValley, Appear, EVS, AI Media, TagVs and AWS Elemental
• Experience with open-source multimedia frameworks and tools.
• Experience with real-time data processing and analytics.
• Understanding of streaming protocols and codec basics, especially broadcast codecs.

*Why Join Us*
Be part of a team that is transforming live broadcast technology at Netflix. Your work will directly impact the quality and scalability of live events, contributing to a seamless experience for millions of viewers worldwide. At Netflix, we value individual contributions and offer opportunities for professional growth and leadership within a flat, highly aligned structure.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

| ABOUT YOU

You are a highly skilled and independent thought leader with a passion for developing high-quality products. You excel at tackling intricate, open-ended challenges and are capable of forming strong collaborative relationships across various teams. You have a proven track record of building scalable, high-performance applications and are adept at influencing strategic decisions within your department or technical domain. Your full-stack expertise, combined with a strong product mindset, enables you to solve complex enterprise problems in the production domain. You excel at understanding business workflows, building data-intensive systems, and creating seamless integrations between multiple platforms to deliver end-to-end solutions that production teams rely on daily.

In this role, you will be instrumental in shaping our strategic vision. As a vital member of the team, you will be responsible for creating company-wide tools that enhance productivity and streamline operations. You will design, develop, and maintain robust products and infrastructure, ensuring seamless integration with third-party and internal services. Your ability to communicate technical concepts clearly and persuasively will be crucial in collaborating across functions and driving impactful solutions. Your work collaborating cross-functionally across your scope allows you to lead, grow, and create opportunities for colleagues so they can scale their impact. 

| RESPONSIBILITIES

• Identify, architect, develop, test, deploy, and operate fully integrated solutions across build/buy that provide seamless end-to-end product experiences.
• Lead cross-functional technical efforts, driving alignment and consensus across diverse teams.
• Design and implement scalable systems and make critical technical decisions on technology, reliability, and performance.
• Design, build, and maintain infrastructure for modern integration methods between our applications, third-party services, and other Netflix teams' services.
• Design and implement sophisticated data synchronization pipelines and scenario management systems that maintain data consistency across multiple source-of-truth systems while handling complex bidirectional data flows and real-time updates.
• Solve complex, high-impact problems and influence strategies to improve system and product quality across Talent Tech Engineering.
• Influence strategies and execution roadmaps within your department or technical areas of expertise, ensuring alignment with business goals.
• Deliver a variety of artifacts, including code, algorithms, designs, prototypes, strategies, or architectures, that lead to system simplification and higher impact.
• Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team and across all of Netflix.
• Communicate complex technical issues and business impacts clearly to varied audiences.
• Mentor, develop, and grow members in your department/sub-function.

| WE VALUE

• Strong problem-solving skills and the ability to make data-driven decisions
• Passion for engineering principles and developing tools and applications for impact with high quality
• Ability to thrive in a dynamic environment where needs shift and clearly articulate priorities and critical outcomes to your team
• Demonstrated sound judgment by taking a strategic approach to solving technical problems with a holistic view of the business impact
• Role model for inclusion, ensuring all voices are heard and facilitating the emergence of the best ideas
• Ability to foster psychological safety and hold colleagues across the sub-function to the same standard
• Track record of building and maintaining complex data integration pipelines with high reliability requirements, especially involving bidirectional synchronization across multiple systems

| SKILLS AND EXPERIENCE

• 10+ years of experience as a software engineer, demonstrably delivering on time and with quality
• Expert knowledge of data structures, algorithms, modern design patterns, and layers
• Deep experience with Java, Spring Boot, React, Python, relational databases (PostgreSQL preferred).
• Knowledge and understanding of GraphQL or REST API patterns.
• Demonstrable ability to lead a project, deliver an end product on time, at quality, and influence technical roadmaps
• Passion to build internal solutions and own the development of mission-critical applications that serve as the operational backbone for studio productions
• Extensive knowledge of building quality APIs for internal and external products
• Experience integrating internal and third-party services into your solutions
• Proven track record of mentoring and developing other engineers
• Ability to shift from tactical to strategic approaches and break down large problems into manageable pieces

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

About the Team

The Customer Service Platform team empowers Netflix Customer Service to help out customers 24x7. We do this by creating a maintainable, scalable, and resilient technology ecosystem that blends in-house and vendor solutions.  

Our areas of responsibility include powering our help center through Content Management System (CMS), building a support agent-facing member management system (CRM), and maintaining other metadata management & operations tools.  We focus on operational efficiency, on both agent and customer experience, and enabling rapid innovation in how Netflix does Customer Service, especially in the world of Generative AI. 

We are transforming our technology ecosystem from one composed of mostly legacy home-grown applications to a modern hybrid architecture that strategically integrates vendor solutions while preserving Netflix-specific values. This platform powers support experiences across Streaming, Games, and Netflix House, complemented by significant investment in GenAI initiatives that will define the future of customer service.

About the job

We are looking for a seasoned engineer who is either a jack of all trades between frontend and backend, or have some speciality to bring to the table, e.g. experience building GenAI applications, prior experience in support domain, or experience working on hybrid ecosystems.

You will be the informed captain, responsible for ideating, building, testing, and deploying robust features that meet both technical and business objectives. While being independent, it may require close collaboration with many Netflix engineering sister teams, product stakeholders and external vendors, to deliver the comprehensive end-to-end solutions. 

You should have the platform mindset, as the system is built with layers of abstractions and orchestrations to handle massive end-user traffic and integrate with different vendor solutions at scale and flexibility. We are not only building for today, but also for tomorrow & beyond.

Qualifications:

• Experience with TypeScript or JavaScript
• Experience with modern UI framework such as React
• Solid experience in object oriented programming in Java, C++ etc incl. Javascript class
• Solid experience with API technologies such as GraphQL, gRPC, and REST

• Solid knowledge of data structures, DB schema design and modern design patterns

• Extensive experience integrating internal and/or third-party services

• Experience with cloud computing platforms like Amazon Web Services

Nice to have

• Experience in customer support / account management domain
• Experience with Generative AI / ML at application level
• Experience working with SLOs, SREs, and contemporary observability platforms.
• Experience developing build tooling or delivery automation
• Experience with distributed systems / cloud deployment / AWS multi region
• An advocate for reliability and operational excellence
• A good grasp of UX fundamentals

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*About the Engineering Support Organization*

The aim of the Engineering Support Organization is to enable Infrastructure Engineering to effectively and sustainably scale the support they provide to their customers. The team  is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education.

*Our Mission*

Deliver an excellent support experience to Netflix’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay.

Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Infrastructure Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.

Drive collaboration efforts to reduce product friction and increase usability so that Infrastructure Engineering can build, deploy and deliver highly functional solutions for the Developer Community.

*The Role*

We are looking for a Support Solutions Engineer with a passion for cloud networking, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.

Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud networking. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.

*Location*

• Our offices are located in Los Gatos.
• Open to Remote

*What you’ll need to be successful:*

• Proven ability to deliver superior customer support and advocate for customer needs across complex organizations, ideally within a central team.
• Highly adaptable, thriving in fast-paced, ambiguous environments, and comfortable managing end-to-end investigations with creative problem-solving.
• Data-driven decision-maker with strong written and verbal communication skills, including experience enhancing documentation and explaining technical concepts to diverse audiences.
• Deep understanding of network access control in AWS and Kubernetes environments, including security group rule evaluation, CIDR notation, protocol/port specifications, and cross-account access patterns, with experience troubleshooting "why can't I connect" scenarios.
• Proficiency in DNS fundamentals including record types (AAAA, CNAME, MX, TXT), zone delegation, TTL behavior, and resolution troubleshooting, with hands-on experience in Route53 or equivalent DNS management platforms.
• Working knowledge of AWS VPC concepts (subnets, route tables, NAT gateways, VPC peering, PrivateLink, TransiGateways, CloudWAN) with understanding of IPv6 and IPv4 differences, including address allocation, dual-stack configurations, and IPv6-specific considerations (NAT44, NAT64, Happy Eyeballs). Familiarity with infrastructure-as-code practices and platforms (OctoDNS, Terraform) for managing network resources at scale.
• Familiarity with load balancing concepts (DNS round robin, ALB/NLB, Classic ELB), including listener configuration, target groups, health checks, and common failure modes in distributed systems.
• Ability to leverage existing monitoring dashboards, log analysis tools, and large datasets (with basic SQL) to investigate issues, identify patterns, and communicate findings clearly to both technical and non-technical stakeholders.
• Eager to continuously learn and improve operational efficiency through automation and visualization, with a strong desire to understand how security products and platforms work together.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $270,000.00 - $410,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*About the Engineering Support Organization*

The aim of the Engineering Support Organization is to enable Platform Engineering to effectively and sustainably scale the support they provide to their customers. The team  is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education.

*Our Mission*

Deliver an excellent support experience to Netflix’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay.

Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Productivity and Data Platform Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.

Drive collaboration efforts to reduce product friction and increase usability so that Platform Engineering can build, deploy and deliver highly functional solutions for the Developer Community.

*The Role*

We are looking for a Support Solutions Engineer with a passion for data platform infrastructure and tooling, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.

Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud computing. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.

*What you’ll need to be successful:*

• A minimum of 5 years of professional support or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink.
• Prior experience supporting platforms built using open source technologies such as Apache Kafka, Spark, and Hadoop.
• You have worked with big data warehouse storage systems (e.g. Iceberg)
• You have at least 1 year of experience in providing technical support for Kafka clusters or other pub/sub systems like Google Cloud Pub/Sub, RabbitMQ, etc.
• Ability to read and write SQL queries to pull required complex data to support any reported issues/product defects
• Prior Experience with cloud infrastructure and/or container orchestration platform

• You have the desire and aptitude to learn how the pieces of the big data platform work together .

• Ability to adapt to new tools and technologies quickly, and a willingness to continuously learn and grow in the field of big data and data movement.

• You are a data-driven and evidence-based decision-maker

• You are proficient in at least one programming language, ideally Python and/or Java, enabling you to contribute to codebases across related domains
• Experience in developing tools and scripts to automate processes and improve efficiency, with a strong focus on continuous improvement.
• Demonstrated ability to provide superior customer support across a complex organization, with a focus on enhancing the customer experience.
• Excellent written and verbal communication skills, with an appreciation for the importance of comprehensive documentation.
• Strong collaboration skills and experience working with cross-functional teams.
• Passion for creating technical documentation and tutorials, with a deep understanding of what makes an effective knowledge base.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a dynamic environment
• Knack for providing proactive feedback during early development stages of a product offering based on subject matter expertise and user sentiment.

*Other attributes that will excite us:*

• Experience building GenAI solutions for Support is a big plus
• Experience building and maintaining mature support infrastructure

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $270,000.00 - $410,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Role

This is an exciting opportunity to join a new team and build a dedicated Design System from the ground up. We are seeking highly skilled UI Engineers to build and drive the foundational Design System for Netflix's Commerce business domain. We are hiring multiple engineers across both the Web and TV platforms.

The role will be centered on:

• Component Development: Designing, developing, and maintaining high-quality, production-ready, accessible, and performant UI components. This work is primarily focused on building React-based design system components.
• Technology Stack: The role requires deep expertise in TypeScript/JavaScript, the React framework, and modern CSS frameworks to deliver reusable component libraries.
• AI First Development: Develop AI-driven tools that benefit both our own development workflow and the efficiency of those who use our design system.
• Platform Scope: Our components must maintain a consistent experience across multiple platforms, so prior experience with UI development on any TV UI platform is a significant plus for the roles that will contribute to the TV platform.
• Strategy & Roadmaps: Work closely with System Designers and Product Design leadership to define, set, and implement the technical roadmap for the Commerce Design System.
• Collaboration: The engineer will partner with Commerce experience designers and Core Design System engineers to integrate core components, design tokens, and APIs, and with product teams to drive the successful adoption of the components into various product spaces.
• Adoption & Enablement: Collaborate with product engineering teams to drive successful adoption of Design System components into their respective product spaces.

The Team

You will join a new, high-impact team dedicated specifically to the Commerce domain design system. The Commerce Domain owns a large and mission-critical surface area of the Netflix product, encompassing the user's entire journey from initial engagement to ongoing membership. This includes vital touchpoints such as user acquisition, login and authentication, account and identity management, the home page and landing pages, payment processing, and partner flows. Your work provides the foundational building blocks for product engineers who build these products every day.

This team operates at the intersection of design and engineering, focused on creating scalable, high-quality, and accessible user interfaces that drive the business. You will work side-by-side with System Designers, Product Design, and cross-functional product engineering teams. Your work will directly influence the development efficiency, visual quality, and usability of features that millions of Netflix users interact with globally.

The engineers you will be working with on the team are not only exceptionally talented but also deeply supportive and collaborative. We believe in providing the best environment for success, and a core part of our mission is to enable other product engineering teams to succeed by providing them with a robust design system.

What’s Different About Us

Scale, Impact

• Hundreds of Engineers: You’ll be a part of a team that  improves UI development velocity for over 100 engineers.
• Millions of Users: creates best-in-class UIs used by over 300M subscribers and billions of visitors.
• Thousands of Devices: across a wide spectrum of devices...
• Globally: in almost every country in the world.

Unique Technical Challenges
We build design system solutions that are flexible enough to support a wide range of use cases across diverse client and server environments, while remaining ergonomic and easy to use for the engineers we support.

Collaboration and Communication
It’s not all about the tech. We highly value the skills required to build strong relationships and collaborate effectively.

Freedom, Responsibility, Ownership
We believe in providing engineers with the business context they need, and then giving them the freedom and responsibility to define project scope, define/debate architecture, determine trade-offs, and figure out the implementation details.

Our Culture
Lastly, but most importantly, we live by our values.

What Sets You Apart

• Design Systems Expertise: Prior experiences building and maintaining high-quality, scalable Design Systems.
• Tools & Testing: Hands-on experience with component documentation tools like Storybook and visual regression tools like Chromatic.
• AI Native Mindset: Champion an AI-first development mindset, actively pushing the boundaries of AI's potential in our products and workflows.
• Production Readiness: Deep understanding and experience with the full software development lifecycle, including building, testing, releasing, and supporting your code in a production environment.
• Server Driven UI: Experiences in building front-end UIs in a Server Driven UI architecture.

People who do well on the team are self-starters with a proactive approach to problem-solving, a drive to own projects end-to-end, and a passion for driving technology innovation rooted in business and customer needs. But more importantly, we look for engineers who understand that there are rarely any absolutes when it comes to technology. The ability to engage in meaningful discussions with colleagues about use cases, prioritization, and technical challenges, while thoughtfully weighing trade-offs across multiple solutions, is a skill we value highly.

If this resonates with you, we’d love to talk!

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Role Overview

The Billing Platform team at Netflix owns subscription management, invoice lifecycle, tax computation, gift cards, and discounts for Netflix’s 325M+ subscribers worldwide. We design and operate highly available, fault-tolerant distributed systems that ensure accurate, compliant billing at global scale.

Our team is composed of stunning colleagues who take end-to-end ownership and collaborate closely with product, finance, legal, and engineering partners to deliver simple, reliable billing experiences for our members.

Current areas of investment include:

• Building Netflix’s real-time tax calculation platform that powers all business lines, including Consumer, Ads, and Partnerships.
• Redesigning and modernizing our invoicing systems to create a more intuitive, transparent experience for members, streamline data contracts with partners, and evolve our data model to better support our Commerce needs.

We are looking for a strong engineer to join our mission to power Netflix’s global growth through robust, compliant billing systems.

Who you are

• You have a background and interest in building billing systems and/or tax platforms, preferably for business-to-consumer scenarios
• You have experience designing and developing highly reliable, fault-tolerant, scalable distributed systems in a cloud environment using Java, Spring Boot, or equivalent technologies.
• You have experience with NoSQL and SQL multi-region databases such as Cassandra and Aurora Postgres.
• You enjoy collaboration and can effectively build strong relationships with cross-functional teams.
• You are open-minded and value different perspectives.
• You thrive in ambiguity and are comfortable defining requirements with stakeholders and iterating.
• You demonstrate a high degree of ownership and accountability, managing multiple priorities effectively in a fast-paced, dynamic environment.
• You’re pragmatic and thoughtful, considering tradeoffs and making technical decisions based on business goals.
• You possess a growth mindset and a continuous drive to learn, evaluate, and adapt to new and evolving technologies.
• You are a strong team player who genuinely cares about systems excellence, and no task is too small for you.
• You understand finance compliance, including audit and SOX requirements, and help ensure accurate billing and adherence to regulatory standards.

Nice to have

• Experience with event-driven architecture and workflow orchestration frameworks.
• BS degree (or higher) in Computer Science or a related field with 6+ years of experience.
• Experience with tax engines such as Vertex.
• Experience with 24/7 on-call and resolving production issues independently.
• Experience with large-scale data processing frameworks such as Spark and Flink.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.

Our Team

The Ads Integration Engineering team is committed to accelerating product adoption at scale by streamlining complex and repeatable integrations with external partners and platforms. Our mission is to deliver standardized, paved-path integrations that unlock operational value and accelerate time to market, acting as the primary technical liaison to ensure seamless implementation and robust support. 

Responsibilities

• Build a deep understanding of the Netflix Ads Stack to serve as a platform expert capable of navigating technical ambiguity and selecting the most efficient integration paths aligned with long-term product vision.
• Drive the end-to-end integration lifecycle including implementation, configuration, and validation by working exclusively within established systems and tooling owned and built by core Software Engineering (SWE) teams.
• Serve as the voice of the customer and primary technical point of contact for external partners, representing their technical needs and constraints in internal requirements discussions to ensure the product roadmap accounts for real-world integration challenges
• Provide hands-on technical support for integrations, while owning the launch monitoring and stability of mature product integrations to ensure a successful transition to live usage.
• Act as the internal quarterback for critical incidents (SEV1/SEV2). Manage communication between the client and Product/Engineering during outages.
• Manage proactive technical communications with all stakeholders and contribute to integration-specific codebase changes (such as debugging, configuration, or observability improvements) in close collaboration with the responsible SWE teams.

Qualifications

Ad Tech & Tech Proficiency

• Advertising Technology Experience: Deep experience in digital media or ad tech, specifically in roles involving hands on work with data clean rooms, measurement partners, DSPs/SSPs/Creative Ad Servers.
• Data Clean Room (DCR) Knowledge: Implementation knowledge of DCR technologies (e.g., Snowflake, AMC, Ads Data Hub) and privacy-first audience activation strategies.
• Proficiency in Java or Python and advanced SQL knowledge are required for hands-on technical tasks, including data preparation, dealing with log-level data and debugging.
• API Mastery: Extensive experience implementing, troubleshooting, and debugging REST APIs using tools like curl, Postman, or similar.
• Cloud Architecture: Deep understanding of at least one public cloud computing platform.
• Code Comprehension: Ability to read and debug code to contribute minor, integration-specific changes (e.g., small pull requests, observability improvements) to existing codebases.
• Technical Support and Client training Expertise: Hands-on experience providing technical support, resolving blockers, and performing system validation to ensure successful integration launches.
• Embrace Emerging Technologies: There is immense opportunity to leverage AI tools to improve our ability to provide world-class support, documentation, and integration with our partners. We would love to see experience with leveraging these tools for real-world results in this space.

Partnership & Communication

• Platform Mastery & Curiosity: A high degree of curiosity and the ability to rapidly build a deep understanding of the Netflix Ads Stack to serve as an authoritative resident expert, providing the technical guidance needed to steer partners and internal teams through complex implementations.
• Technical Translation: Proven ability to translate ambiguous business requirements into concrete technical integration plans and explain complex concepts to both technical and non-technical stakeholders.
• Partner Advocacy: Strong stakeholder management skills with the ability to manage technical relationships and effectively represent partner needs to internal product and engineering teams.
• Strategic Problem Solving: Ability to navigate technical ambiguity to identify the most efficient solutions that align with the long-term product vision.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $270,000.00 - $410,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.

Our Team

The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.

Ads Inventory Management & Forecasting team builds state-of-art realtime inventory forecasting solution leveraging ML models and high performance ad server simulations. The team also builds systems that enable publisher inventory management solutions, which supports various monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield optimization.

Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.

We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Skills & experience we’re seeking:

• Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.

• Experience in handling data at extremely large volumes with big data tools like Spark.

• Productionized predictive models to forecast the effectiveness of advertising campaigns, including metrics like impressions, reach, clicks, conversions, and ROI.

• Building Scalable Simulation solution to model different inventory scenarios, including demand fluctuations, pricing strategies, and inventory allocation.
• General understanding of the advertising marketplace and landscape, with a focus on publisher side challenges like optimizing fill rates and maximizing revenue in the context of inventory management.
• Collaborate with cross-functional stakeholders from science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale

Nice to Haves:

• Good understanding of Lucene index and had experience building Lucene index with large volume of data.
• Familiar with publisher-side ad tech systems including ad servers, bidders, yield optimizers, and their demand-side counterparts (SSPs/DSPs)
• Experience in yield optimization, product recommendation and dynamic allocation of direct/programmatic guaranteed and non-guaranteed inventory
• Contributed to an ads industry technology standard (e.g  VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
• Familiarity with legal compliance and changing landscape of ads regulations around the world.
• Experience working in the CTV space and knowledge of its unique constraints

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*The Opportunity*

Netflix's mission is to entertain the world by connecting members with stories they'll love. With millions of members around the globe, our product helps people quickly find something great to watch. The AI for Member Systems (AIMS) organization sits at the core of this experience, building and operating the AI systems that power recommendations, personalization, search, discovery, and messaging.

Fast-paced innovation in large language models (LLMs) and generative AI is reshaping how we personalize and surface content. Within AIMS, the AI Applications Coreteam is a horizontal applied science and ML engineering team that builds foundational capabilities used across multiple product surfaces. While other AIMS teams focus on specific experiences (Recommendations, Search, Messaging), Core builds the shared components that power all of them:

• Reward models that define "good" outcomes for member experiences (engagement, satisfaction, discovery, long-term value)
• Entity/metadata libraries that unify how models reason about content across different surfaces
• LLM post-training frameworks tailored to personalization use cases
• Utility optimization systems that help balance multiple objectives at scale

We're looking for a senior engineering leader to lead and grow this team—someone who can build generalizable tools, APIs, and frameworks that multiple application teams adopt, while navigating the tension between near-term product needs and long-term platform investments.

*In This Role, You Will*

• Lead a senior applied science and ML engineering team that builds foundational personalization capabilities used by multiple product teams.
• Set the vision and roadmap for shared reward models, entity/metadata libraries, embedding utilities, and LLM post-training for personalization.
• Prioritize horizontal investments that create leverage across recommendations, search, messaging, and emerging GenAI experiences.
• Design and evolve APIs, abstractions, and integration patterns so downstream teams can adopt shared components while the Core team iterates on internals.
• Extend and generalize reward models to new content types and surfaces.
• Stand up and tune online utility modeling and optimization layers (e.g., bandits, policy learning, multi-objective optimization) that balance engagement and long-term member value.
• Shape shared post-training and alignment utilities for member-facing LLMs (e.g., supervised fine-tuning, RLHF/RLAIF) used in ranking, discovery, search, and messaging.
• Partner closely with AIMS foundations, product application teams, and ML platform/infra teams to ensure Core capabilities are aligned, integrated, and widely adopted.
• Hire, develop, and retain a diverse, high-caliber team of ML engineers and applied scientists, fostering an environment where senior talent can do their best work.

*What We're Looking For*

• Experience leading applied ML, ML engineering, or applied science teams working on large-scale personalization, ranking, marketplace optimization, or related decision systems.
• Strong background in applied ML and recommender systems, including rewards, multi-objective optimization, and/or long-term value modeling.
• Demonstrated success driving horizontal or platform-like ML efforts where impact is measured by adoption and leverage across multiple teams.
• Proven ability to design and ship APIs, libraries, and reusable components that product teams can easily adopt and extend.
• Strong communication and influence skills; able to align senior partners across engineering, science, and product.
• Track record of building and leading diverse, high-performing technical teams in a fast-moving, high-autonomy environment.

*Preferred Qualifications*

• 8+ years in applied ML/science or ML engineering, with 3+ years in a technical leadership or people management capacity.
• Familiarity with modern LLM/GenAI applications and post-training approaches (e.g., fine-tuning, RLHF/RLAIF, evaluation pipelines) in production settings.
• Experience acting as a bridge between foundational/platform teams and product application teams—translating capabilities into usable components while feeding requirements back into foundations.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $523,000.00 - $920,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Opportunity

Fast-paced innovation in large language models (LLMs) and generative AI is reshaping personalization and discovery at Netflix. We are building an in-house “Member LLM”, customized on Netflix data, and believe it will unlock a new class of personalized, interactive member experiences. 

While other teams within AI Foundations focus on model training, model evaluation, and data curation, the newly created GenAI Sandbox and Tooling team exists to accelerate learning and adoption through rapid experimentation and agentic system development. This team builds sandboxes, agentic systems, and high-fidelity internal demos—backed by lightweight infrastructure (sandboxed APIs, UIs, and integration patterns) that expose Member LLM internally for hands-on exploration—without the overhead of full productionization.

We are looking for a senior hands-on engineering leader to build and scale this team. This is a high-velocity, hands-on role at the intersection of systems engineering, GenAI application patterns, and foundation models, designed to bridge model development and downstream productization.

This role can be scoped as either an L6 IC Team Lead or an Engineering Manager, depending on background. In both cases, success looks like standing up a small, highly effective team that can rapidly build sandboxes, agentic systems, and internal demos—while partnering closely with foundation model teams, platform teams, and cross-functional product pods.

Questions Your Team Will Help Answer

The GenAI Sandbox and Tooling team provides the environment for the organization to "touch and feel" our latest AI capabilities. Strategic questions include:

• How can we provide a stable, side-by-side sandbox for internal teams to qualitatively explore our in-house models against frontier models?
• What agentic architectures (memory, state management, tool-calling) are most effective for future member-facing generative experiences?
• How can we create polished, high-fidelity demos that build intuition for leadership without the overhead of full productionization?
• From a tooling & software engineering perspective, what are the optimal integration patterns for application teams to consume custom-trained LLM models in a robust way?

In this role, you will:

• Lead with a Player-Coach Mindset: Provide technical leadership, architecture, and roadmap direction while remaining hands-on in the development of prototypes and tooling.
• Drive Rapid Exploration & Execution: Lead the development of agentic systems and internal sandboxing tools (UIs/APIs) with short, high-velocity iteration cycles.
• Bridge Research and Application: Partner closely with the Member Foundation Models team to expose their training progress via "shadow testing" and qualitative signal gathering.
• Own the GenAI Sandbox ("Canvas"): Own the creation of the foundation model (i.e. “Netflix Member LLM”) playground and MCP servers for complex tool use, partnering with the broader Netflix GenAI platform.
• Collaborate Cross-Functionally: Work with the cross-functional GenAI pod to "graduate" successful prototypes into production-level experiments and member-facing betas.

Minimum Qualifications

• Technical Leadership: Proven track record of leading technical teams or complex projects, ideally in a "player-coach" or lead capacity.
• Software Engineering Excellence: Strong background in full-stack or systems engineering, with the ability to build internal-facing APIs and UIs rapidly.
• LLM & Agentic Systems: Deep understanding of LLM application patterns, including prompt engineering, orchestration frameworks (memory/state), and tool use.
• Velocity-First Mindset: Demonstrated ability to balance "quick-n-dirty" prototyping for learning with the technical judgment to build robust integration patterns for others.
• Strong Communication: Ability to translate complex algorithmic capabilities into intuitive demos for leadership and partner teams

Preferred Qualifications

• 8+ years of experience in software engineering, with 3+ years in a technical leadership or management capacity.
• Prototyping Background: Experience building agentic architectures or high-fidelity prototypes that informed significant product or research bets.
• Experience with LLM-Ops: Familiarity with lightweight tooling for exposing and monitoring LLMs in a robust way.
• Hybrid Leadership: Experience acting as an L6 IC Team Lead or a people manager in a research-adjacent engineering environment.
• Full-Stack Proficiency: Ability to rapidly build and deploy internal-facing UIs and APIs to showcase model capabilities to non-technical stakeholders.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $523,000.00 - $920,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Netflix’s Infrastructure Engineering organization provides the backbone that powers Netflix’s global scale and operations across business verticals. Within this organization, Data, AI & Experimentation Platforms accelerate product velocity and business impact by providing cohesive, reliable foundations for data, analytics, machine learning, and experimentation. We reduce friction across the insight-to-production loop so teams can move from questions to decisions and from prototypes to shipped features quickly, with confidence, and with measurable outcomes.

We enable teams to build and scale ML-powered products end-to-end with AI platform capabilities for training, model management, evaluation, observability, developer tooling, and production inference. Our experimentation platform makes it easy to design, launch, monitor, and interpret experiments so teams can iterate faster and validate impact with statistical rigor and accountability.

We also provide the data and analytics foundations that make information usable and trustworthy: streamlined data movement (ingestion, streaming, processing), standardized online data stores for real-time serving, and analytics experiences that accelerate discovery while enforcing consistent metrics, quality, lineage, ownership, and access controls. Ultimately, we make data- and AI-driven product development faster, safer, and more dependable at scale so teams can focus on building great experiences that entertain the world.

The Opportunity
We are looking for a highly technical Principal Product Manager to drive Netflix’s Experimentation Platform. Your primary mission is to make experimentation effortless and reliable for teams across Netflix so that they can ship faster with measurable impact and decision confidence. You will reduce friction across the end-to-end experimentation lifecycle and help turn individual experiment results into compounding organizational learning.

You will own product strategy and execution across the platform roadmap, spanning core experimentation workflows, platform APIs and integrations, allocation and orchestration, safety guardrails, and analysis and insights. You will partner closely with engineering, data science, and product teams to ensure the platform is intuitive for self-serve usage while meeting high standards for correctness, reliability, and scalability. Key responsibilities below:

• Simplify experiment creation, launch, and interpretation to enable broad self-serve adoption.
• Evolve APIs and integrations so partner teams can build on experimentation capabilities.
• Improve allocation to increase test efficiency while supporting exclusions and complex targeting.
• Strengthen safety systems and standardized guardrails to protect key business and product metrics.
• Enable cross-test learning with better metadata, datasets, and tooling that surfaces insights at scale.
• Extend foundations to adjacent areas such as canaries, model evaluation, and optimization.

In this role, you'll shape the future of the Experimentation Platform at Netflix by leading a product portfolio to drive significant business impact through your vision and product leadership. You'll have the autonomy to set strategic direction, solve complex challenges, and make high-leverage decisions that impact how product managers, data scientists, and software engineers drive decision making. By identifying breakthrough opportunities and championing solutions that advance business goals and user productivity, you'll evolve platform capabilities to maximize both immediate value and long-term success.

What makes this role exciting is the blend of strategic vision and hands-on leadership. You'll maintain a broad portfolio view while selectively diving deep where your expertise makes the most significant difference. Your success will be measured by enabling Netflix's growth, innovation, and competitive advantage, while delighting users with exceptional experiences that empower teams to work more efficiently and with greater satisfaction.

What You Will Do

As the Product Manager for Experimentation Platform, you will have the following responsibilities:

• Set Direction: Develop a compelling long-term vision and strategy for your portfolio, aligning user needs with business objectives and industry trends
• Champion Users: Build deep user understanding and empathy through regular engagement, research, and feedback loops to identify pain points and opportunities.
• Manage Roadmap: Develop and prioritize initiatives that balance immediate needs with strategic evolution to maximize impact, making thoughtful trade-offs and aligning stakeholders.
• Guide Development: Partner with design and engineering to define requirements, create intuitive interfaces, and validate solutions that ensure cohesive user journeys across the platform ecosystem.
• Support Architecture: Partner with engineering on critical architectural decisions to ensure platform sustainability, scalability, and flexibility, while strategically managing technical debt.
• Drive Adoption: Create effective rollout strategies and promote new capabilities through targeted communication, education, and roadshows, while providing comprehensive documentation, learning resources, and self-service tools that accelerate adoption and reduce support burden.
• Drive Improvement: Define success metrics tied to user satisfaction and productivity, instrument the platform to measure them, and run a continuous cycle of data-driven experiments to prioritize and improve capabilities.
• Establish Governance: Develop platform standards and processes that balance flexibility with standardization and innovation with stability to maintain quality and consistency, including API design guidelines, versioning policies, and deprecation protocols.
• Align Stakeholders: Build strategic relationships and foster cross-functional collaboration to drive alignment and create shared ownership of outcomes.

What We’re Looking For

We value candidates who can balance strategic thinking with tactical execution, technical depth with user empathy, and decisive leadership with collaborative partnership. This role requires someone who thrives in ambiguity, can navigate complex technical and organizational landscapes, and ultimately delivers significant impact for your users and Netflix as a whole.

The successful candidate will demonstrate the following attributes and experiences:

*Technical Excellence*

• *Expertise*: 10+ years of Technical Product Management experience (or equivalent technical role) in complex technical domains. Comfortable discussing technical design trade-offs and system quality attributes with engineering teams.
• *Domain Knowledge*: Strong knowledge of experimentation and causal inference fundamentals, A/B and multivariate testing, and platform capabilities, including allocations, metric instrumentation, and governance, experiment runtime/triggering, analysis pipelines, and monitoring for bias, novelty, and interference.
• *Curiosity*: Demonstrated passion for experimentation platforms and methodologies with a pulse on emerging trends. Actively seeks new perspectives and brings fresh thinking to technical challenges. Regularly uses products and observes customers to identify opportunities for improvement.

*Product Leadership*

• *Strategic Vision*: Proven track record of managing product portfolios in complex technical domains with a clear vision and strategy to maximize portfolio impact. Skilled at connecting business objectives with user needs, balancing quick wins with strategic bets, and making thoughtful trade-offs.
• *Customer Obsession*: Deeply understands user needs through continuous engagement. Exceptional at identifying and articulating clear problem statements. Develops innovative solutions with strong product intuition and taste, thinking holistically about end-to-end user experience.
• *Business Acumen*: Understands how platform investments drive business outcomes. Articulates the ROI of technical investments in business terms and connects platform capabilities to Netflix's strategic priorities. Balances technical excellence with business pragmatism.
• *Data Driven*: Deeply analytical mindset that leverages quantitative and qualitative data to understand user behavior, validate assumptions, and inform product decisions. Builds a metrics-driven culture with clear success metrics to measure impact and drive continuous improvement.
• *Decisive Leadership*: Makes timely decisions that provide clear direction and reduce ambiguity, without falling into analysis paralysis. Shows conviction in product opinions while remaining open to new information. Removes decision bottlenecks and shields teams from unnecessary scope creep.

*Collaboration & Influence*

• *First Team Player*: Creates psychological safety through vulnerability and assuming best intentions. Values diverse perspectives and operates with a collaborative mindset where team success trumps individual accomplishments. Skilled at giving and receiving feedback with a growth mindset.
• *Stakeholder Alignment*: Builds strong relationships across organizational boundaries, grounded in mutual respect and shared goals. Navigates complex organizational dynamics to drive alignment. Adapts communication style to different audiences and contexts to maximize effectiveness.
• *Influential Communication*: Outstanding written and verbal communication skills with the ability to influence and inspire. Great at rallying teams around a vision and motivating others to action.

*Execution Excellence*

• *Delivery Focus*: Builds reputation through consistent, high-quality delivery. Disciplined prioritization with clear timelines and accountability. Drives initiatives to completion rather than letting them linger. Comfortable making decisions with imperfect information and adjusting course as needed.
• *Learning Mindset*: Champions incremental learning and fast feedback loops with customers. Values progress over perfection and breaks down large initiatives into manageable increments that deliver value at each stage. Adapts quickly based on real-world user feedback.

We are an equal opportunity employer and celebrate diversity, recognizing that diverse thought and backgrounds build stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Our culture is unique, and we live by our values, so it’s worth learning more about Netflix culture.

More About Experimentation @ Netflix

• Lessons from designing Netflix’s experimentation platform
• It’s All A/Bout Testing: The Netflix Experimentation Platform
• Experimentation & Causal Inference

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $660,000.00 - $1,000,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Role

The Netflix Advertising XD team is seeking a Senior Product Designer for our Foundations squad. This horizontal role is designed for an expert who thrives on platform systems and design scaling. Beyond component maintenance, you will architect the infrastructure and "paved paths" that empower our vertical squads to deliver world-class experiences at speed. As a key member of the Architecture pillar, you will lead the evolution of the Netflix Ads Suite (NAS) as a cohesive, resilient ecosystem, ensuring our unique platform needs integrate with and elevate global design standards. The ideal candidate is a high-craft designer who thinks in ecosystems and is equally comfortable designing complex platform features as they are unblocking others through scalable architectural solutions.

Key Responsibilities

• Architect the strategy for platform systems and design scaling to ensure cross-squad resilience and durability.
• Unblock vertical product squads by identifying architectural bottlenecks and providing scalable design solutions that reduce technical and design debt.
• Lead the UX strategy and execution for foundational platform features, including universal navigation, notification frameworks, task management, and high-density data interfaces.
• Partner with engineering to maintain a shared repository of standardized components, ensuring pixel-perfect alignment between platform designs and production code.
• Serve as a strategic ambassador to the central Hawkins design team, influencing global standards to support complex Ads use cases while building deep credibility for Ads as a vital design partner.
• Evangelize documentation and paved-path frameworks that empower designers to adopt platform standards with velocity and autonomy.
• Operationalize AI-driven agentic workflows and intelligent UI patterns in partnership with the AI pillar to scale these frameworks across the Ads ecosystem.
• Ground platform decisions in research regarding human and agentic archetypes to ensure infrastructure remains future-proof.
• Audit the ecosystem to identify UI discrepancies and prioritize the foundational work needed to move the Ads Suite toward a unified experience layer.
• Influence Product and Engineering leadership to ensure platform infrastructure is both technically feasible and vision-aligned.
• Up-level the organization's craft through expert guidance, accelerating the speed of the entire design organization.

Key Qualifications

• 5-7+ years of experience in product design, with a focus on platform systems, design scaling, or foundational infrastructure in complex B2B environments.
• Systems Mastery: Expert-level proficiency in Figma and a deep understanding of how platform systems scale across diverse, high-density interfaces.
• Complex Problem Solving: A portfolio demonstrating the ability to simplify high-complexity platform workflows, such as technical dashboards or multi-state state machines.
• Architectural Mindset: You think in patterns and ecosystems, not just screens, and can articulate why a platform-level decision is the right move for long-term health.
• Technical Fluency: Familiarity with front-end constraints and a history of successful collaboration with engineering to implement scalable systems.
• Executive Presence: Proven ability to present platform-wide strategies to senior leadership and influence cross-functional roadmaps.

Preferred Skills

• Experience in the Advertising ecosystem (e.g. Ad Tech, programmatic buying, campaign management tools, etc.).
• Proficiency in high-fidelity prototyping to validate and demo system-level interactions.
• Knowledge of Accessibility (A11y) standards and how to embed them into the platform core.

Why Netflix?

Our Advertising XD team is at the forefront of shaping the future of entertainment and advertising. This is a unique opportunity to define the platform systems that will power the next decade of Netflix Ads. If you are passionate about design scaling and building the infrastructure of the future, we would love to talk to you!

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $350,000.00 - $520,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Content Platform Operations & Publishing (CPOP) team sits at the intersection of AI and machine learning, the consumer experience and the Netflix Studio. We are an integral part of making the Netflix experience feel personal and relevant by developing innovative approaches to how we promote, localize, and distribute our content. Our products impact both our members and the content creators, linguists, editors and executives who make our shows and films possible.

We are seeking a Product Leader to join our team and oversee the products, operations, and editorial teams that scale our catalog and content understanding systems for our content library. This role will lead multiple functions and disciplines including product managers and functional teams (operations, ratings, analyst and editorial teams) focused on automating and scaling areas like ratings, content analysis/signals and content catalog management/taxonomy systems.

This is a high-impact role where you will play a key part in shaping the future of how our product's capabilities for content classification, moderation and understanding scale and bring the most impact to our internal teams and members. You will be responsible for driving the product strategy, approach and innovation to building out innovative long-term solutions with technological solutioning at the forefront in order to enable these capabilities to future scale and significant member impact.

This leader will be a key partner to other product teams, engineering, data science, and functional teams leading these partners towards a long-term vision of how emerging technologies and AI investments will scale the future of how our content is organized and presented to members. 

This role is based in our Los Gatos or Los Angeles office in a hybrid model, but we are open to remote candidates who are on the West Coast. Frequent travel to Los Gatos and Los Angeles will be required.

*Responsibilities*

• Inspire a high-performing multi-disciplinary team of product managers, ratings professionals, content analysts, data/catalog  experts, and taxonomists to transform and automate how we classify content, assets, and our catalog. Transform products, tools, and workflows that play a critical role in catalog and content understanding and connect our members to our product and content in a meaningful and scalable way.
• Build bridges with leaders around the world to establish great collaboration with other product teams, government affairs, engineering, design, and data science.
• Balance requests from various stakeholders across the organization and cast them into a forward-thinking and ambitious vision and roadmap for catalog and content understanding innovation and AI investments, driving execution and velocity towards your goals.
• Improve the team by attracting, developing and retaining high-performance product managers, operators, and editorial experts who excel within a diverse and inclusive environment and high performance, learning oriented culture.

*Qualifications*

• You have 10+ years of experience leading a product management function at global scale with an emphasis on ML/AI solutions.
• You are an exceptionally strong systems thinker able to think deeply about technology and workflows.
• You’ve built and maintained strong and effective cross-functional partnerships across different areas of a business to drive toward and accomplish ambitious product goals; experience leading both technical and non-technical functions is a huge plus
• You have advanced to intermediate understanding and depth in machine learning & evaluation techniques, especially computer vision methods, and significant experience shipping them via AI powered products; experience with AI technology for B2B2C solutions in a huge plus
• You have managed and developed people managers and experienced product managers; you have a passion for people management and mentorship.
• You can operate successfully in ambiguous situations, can be flexible and nimble in an evolving space, and has a high level of curiosity.
• You are a change agent, with experience and passion for transforming traditional methods of work.
• Experience building and innovating on human-in-the-loop workflows and automation products is a plus.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $650,000.00 - $1,500,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Our Team:

The Ads Platform team builds the advertising systems and integrations that power the delivery of ads using our world class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our members’ viewing experience and drives great outcomes for advertisers. 

Our team is new and yet faced with the ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that differentiate Netflix from other ad-supported streaming services.

We are looking for a Product Manager in the advertising space who is excited to join us on this journey.

About the Role:

This PM will own the end-to-end experience for human and agentic developers interacting with Netflix Ads. You will treat our platform (APIs, SDKs, documentation, and sandboxes) as a first-class product.

Your mission is to eliminate friction. You will define the "Golden Path" for internal engineers to ship features faster and build the industry-leading Developer Portal that allows external partners to go from "signup" to "first successful API call" in minutes, not weeks. Crucially, you will ensure our platform is "AI-native," providing the high-quality metadata and schemas necessary for agentic workflows to autonomously interact with our systems.

This PM will:

• Define the Vision for Ad-Tech Programmability: Create the roadmap for a unified developer ecosystem that serves both internal high-velocity engineering and external partner integrations.
• Build for the Future (Agentic DevEx): Architect API standards and discovery layers that are optimized for LLMs and autonomous agents, ensuring our infrastructure is ready for the next wave of AI-driven ad management.
• Launch the Netflix Ads Developer Portal: Own the external-facing hub for documentation, API keys, and self-service onboarding, ensuring it reflects the Netflix brand’s commitment to quality.
• Empower Through Tooling: Deliver robust SDKs, CLI tools, and sandbox environments that allow developers to test complex ad-tech scenarios safely and instantly.
• Drive Discovery & Documentation: Move beyond static wikis to create a living, searchable "Source of Truth" for all Ads APIs, including automated "Golden Path" guides for common integration patterns.
• Measure Success through Speed & Joy: Track and optimize DORA metrics for internal teams, "Time to First Hello World" for external partners, and overall Developer NPS.
• Community & Convention: Establish and champion ad-tech protocols and conventions that make our platform feel familiar to industry veterans while remaining uniquely Netflix.

We’re seeking a candidate who has:

• Experience: 10+ years of Product Management experience with a focus on Developer Platforms, API-as-a-Product, or Technical Infrastructure.
• Domain Acumen: Deep expertise in advertising-oriented protocols (IAB Standards, etc)  and the nuances of publisher-side integrations.
• Community Builder Mindset: A proven track record of building and scaling thriving developer communities or ecosystems.
• Technical Depth: Comfort with modern system architecture, schema design, and the emerging requirements of LLM-integrated APIs.
• Empathy-Led Design: A passion for removing "papercuts" in the developer journey and a belief that developer tools should be as intuitive as consumer apps.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $440,000.00 - $725,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Page Systems Team builds high-throughput, low-latency backend systems that power Netflix Member Experience Pages, such as the Homepage and Search, delivering real-time responses to UI clients, bringing Netflix experience to hundreds of millions of Netflix members. Our vision is to create a flexible product platform capable of generating diverse pages at Netflix scale in real time, while enabling our product engineering and multiple business domain partners to rapidly innovate on their experiences through highly reliable self-service interfaces.

This team sits at the cross section of product, engineering, science, and data, and you will play a highly cross-functional role partnering with product engineering teams, cross domain partners, business analytics, product management, machine learning, and data teams to ensure our services are functionally and operationally excellent.

We are seeking an engineering leader to guide our team in developing this product platform. This leader will be instrumental in advancing our Platform systems and driving Netflix's success. We are looking for someone who is technically proficient and can cultivate a collaborative and inclusive environment, mentoring a diverse team of engineers, including experienced engineers and newcomers. The ideal candidate should be a strategic thinker focused on enhancing our architecture to unlock new product capabilities and drive business impact. Above all, this leader should embody Netflix's core values, promoting creativity, curiosity, and excellence.

In this role, you will:

• Lead a team of strong engineers building high-scale, zero-to-one systems.
• Drive architecture, design, and execution of product infrastructure systems.
• Develop a strategic roadmap focused on incremental delivery and high business impact.
• Define success metrics, align migration goals, and drive platform adoption.
• Communicate progress effectively to stakeholders, customers, and senior leadership.
• Balance platform evolution by maintaining existing systems while prioritizing next-gen development.
• Hire, mentor, and grow a diverse, high-performing team, fostering an inclusive team culture.

What we are looking for in you:

• An engineering leader with 4 - 6 years of experience leading backend distributed systems teams, platform experience is a plus.
• A leadership style that prioritizes giving and receiving feedback, fostering new ideas, and empowering others, without micromanagement.
• Ability to balance operating inwards to lead a high performing engineering team with operating outwards to build strong and effective partner relations.
• Strong technical acumen and ability to act as a technical advisor to the team.
• Focus on operational excellence of large Tier-1 systems.
• A track record of hiring diverse, highly talented engineers and growing successful, highly impactful teams.
• Excellence in communicating context with the team, stakeholders, partners, and leadership. Ability to drive the team’s roadmap by connecting the dots between your team’s work and business needs, managing expectations, and navigating competing priorities.
• A BS or higher in Computer Science/Engineering or a related discipline.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $791,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*About the role*

In this role, you will support our live streaming pipeline team and day-to-day live-streaming operations for Netflix. As a Live Streaming Pipeline SRE, you will beresponsible for the reliability of our live streaming pipeline (transmission, encoding, packaging, origin). Instrumenting end to end observability and visualizing the data to achieve the desired availability at scale.

Working with cross functional teams in the preparation, validation, and execution of live streaming focused initiatives.You will impact multiple areas of the live event lifecycle, from the planning phase through testing and event launch days. You will be leading innovation initiatives, driving new features that will  enhance our live streaming services, encoding & content delivery.

*Responsibilities*

• Drive continual improvement in resilience, observability, monitoring, instrumentation, and automation with the primary goal to maintain highly scalable and reliable services worldwide
• Implement, automate, execute, and analyze the results from a broad range of live streaming delivery focused functional, performance, resilience, and fault injection testing
• Coordination, collaboration, and partnership across multiple stakeholders for the smooth execution of live-streaming events
• Aggregate, analyze, and correlate large amounts of server and application performance data. Use the innovative Netflix Big Data platform as a highly flexible, specialized and efficient toolset for service delivery optimization and system reliability improvements
• Participate in an on-call rotation and be able to work with flexible hours based on the live events schedule

*Qualifications*

• 5+ years service reliability/operational experience running large scale, high performance systems & internet services with focus on live-streaming and video-on-demand (VOD) delivery
• Experience with video transport protocols such as RTP, RTMP, SRT, UDP, Zixi, RIST, HLS, MPEG-DASH
• Knowledge of and proven experience with HTTP cache/proxy technologies. Experience supporting live-streaming delivery at scale
• Expert-level knowledge of Unix or Linux system engineering fundamentals (networking, storage, operating systems) at scale.
• Proficient understanding of networking principles, transport, and application protocols, especially TCP/IP, BGP, DNS, TLS, and HTTP/S
• Experience with using distributed analytic processing technologies (Hive, Presto/Trino, Spark SQL, etc)
• Proficient in a programming language such as Python or Go
• Ability to work in a highly collaborative environment and to communicate effectively with internal and external partners
• Preferred - B.S. in Computer Science, Electrical or Computer Engineering (or equivalent professional experience)

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Netflix Infrastructure Engineering organization drives business growth and innovation through a robust platform essential to Netflix’s scale and operations. Our Data Platform supports the full data lifecycle—from online data stores and movement to analytics—enabling data practitioners to build and use reliable datasets and insights with speed and confidence. It powers data‑driven decisions at global scale, letting teams focus on what truly matters: helping Netflix entertain the world.

The Opportunity

We’re seeking a Senior Product Designer to shape the next generation of data movement (pipelines/jobs) and online data store (ODS) experiences at Netflix. You’ll help software engineers, data engineers, analytics engineers, and ML engineers—and on‑call owners—move from change intent to reliable outcomes: configure and validate pipelines, observe and troubleshoot runs, evolve schemas safely, make ODS operations self‑serve and safe (e.g., capacity/index changes with guardrails), and set up automatic syncing between ODS and analytics, in addition to streamlining the customer experience across ODS and Data Movement products.

You will focus on end‑to‑end workflows such as:

• *Administering and evolving online data stores, self‑serve:* safe capacity and index/schema changes with guardrails; paved paths for common maintenance
• *Operator and launch experiences for online data stores:* privileged updates with approvals/audit; provisioning, discovery, and adoption of new stores (e.g., search); read‑safe data exploration and verification to confirm data appears as expected after creation or fixes (e.g., sample/lookup).
• *Designing and running pipelines and data flows:* authoring and review, scheduling, handling retries/backoffs and backfills, managing runs with clear dependency views (directed acyclic graphs, DAGs), and supporting batch/streaming movement including change data capture (CDC)/replication and automatic syncing
• *Diagnosing and fixing issues faster*: pipeline health at a glance; freshness, lag, throughput, and error signals; guided triage that links runs, logs, metrics, lineage, config diffs, and data samples

Your work will reduce cognitive load, build trust, and speed safe change—for example, making pipeline setup and validation straightforward, surfacing actionable run signals, and previewing the impact of schema changes before they ship. You design for coherence across UI, CLI/IDE, and APIs with one mental model, and apply pragmatic AI‑assistance (incident summaries, natural‑language filters, config‑diff explanations).

If you’re passionate about solving complex, technical design problems in data infrastructure—and want your work to directly influence how Netflix ships reliable, data‑powered experiences at scale—we’d love to talk to you.

What You Will Do

*Design Vision and Strategy*

• Shape and own design for ODS and movement platform; creating intuitive workflows that enhance data practitioner and software engineer productivity and delight
• Contribute to and help drive adoption of patterns and components for operational, data‑dense UIs (runs, pipelines, lineage, diffs) that scale across the platform
• Identify opportunities for innovation through research, incident analysis, and technical insight; sequence delivery for measurable impact
• Create cohesive, end‑to‑end experiences with guardrails over gates (paved paths, templates, defaults) to reduce errors
• Partner with product and engineering to define and improve how we measure experiences
• Anticipate emerging needs and help frame design problems early

*Design Leadership and Execution*

• Drive end‑to‑end design for interdependent workflows
• Craft and validate prototypes that effectively communicate solutions
• Establish scalable design practices and foundational patterns
• Scope and negotiate realistic deliverables with partners
• Mentor designers and partner teams; help grow shared understanding and adoption of effective design practices

*Cross-functional Collaboration*

• Co‑create strategy with product and engineering leadership to drive critical initiatives for your product area
• Facilitate workshops with technical stakeholders; build consensus on implementation, trade‑offs, and sequencing
• Articulate compelling design solutions and decision rationale to senior leadership, connecting technical challenges to business outcomes
• Lead through influence across teams to ensure coherent, cross‑surface experiences (UI, IDE/CLI, APIs)

What We’re Looking For

If you’re excited about this role but don’t meet every single requirement, we encourage you to apply. We value potential, transferable experience, and a learning mindset.

*Essential Experience and Skills*

• 5+ years as a Product Designer (or equivalent experience)
• Experience designing orchestration and/or data movement tools, databases, developer/data platform tools, or analogous complex technical products
• Strong portfolio showing system‑level product work and the impact of your design leadership, including initiatives that span multiple teams
• Proven track record of leading design initiatives from concept to launch
• Proficient in design tools (Figma, etc.) and prototyping technologies
• Strong systems thinking and ability to design scalable solutions for complex data/analytics challenges

*Leadership and Collaboration*

• Successfully led design strategy for complex technical products
• Proven track record of influencing and aligning cross-functional partners without direct authority
• Ability to navigate ambiguity, create clarity, and move complex initiatives forward with partners
• Excellence in communicating design decisions to technical audiences
• Demonstrated success in mentoring designers and improving team practices
• Strong ability to work autonomously and drive initiatives independently
• Skill in sequencing and communicating long-term vision through incremental steps
• Ability to collaborate effectively with engineers (coding skills not required)

*Technical Understanding*

• Literacy in data/analytics and software engineering workflows (e.g., Git‑ and DSL/YAML‑based config with tests, docs, CI, pre‑commit validation); empathy for code‑first users in IDE/CLI
• Fluency in orchestration and data movement: pipelines/DAGs (dependency graphs), runs/retries/backfills, streaming (e.g., Kafka/Flink/Spark), CDC/replication, and Zero ETL
• Familiarity with online data stores (e.g., key‑value, search, relational, caching) and integration with analytical destinations (e.g., Apache Iceberg), including TTL and consistency considerations
• Strength designing data‑dense, system‑oriented interfaces (lineage/dependency graphs, run trees, schema diffs) with embedded trust signals (freshness, status, ownership, change history, SLO/SLA)
• Understanding of permissions/entitlements, data contracts, and compliance constraints and their UX implications
• Applied AI/ML‑enhanced experiences a plus (e.g., conversational queries, guided analysis)

*Values*

• Continuous learner passionate about design excellence and culture
• Self-motivated and autonomous
• Mature approach to giving and receiving feedback
• Collaborative and ego-free in technical discussions
• Comfortable with ambiguity and driving clarity

More About Infrastructure Engineering @ Netflix

• MIT CODE 2024 Practitioners Panel: Design & User Experience Perspectives (video)
• Netflix’s Distributed Counter Abstraction (techblog)
• Unifying the Netflix engineering experience with a federated platform console (video)
• Incremental Processing using Netflix Maestro and Apache Iceberg (techblog)
• Lessons from designing Netflix’s experimentation platform (video)
• Full Cycle Developers at Netflix -- Operate What You Build (techblog)
• Netflix Data Engineering Summit (techblog)

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $350,000.00 - $520,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*About the role*

In this role, you will support our live streaming events by focusing on cloud traffic(API Gateway, IPC between microservices). You will prepare and execute various load tests to ensure both individual critical applications and overall cloud infrastructure can handle sudden increases in API traffic, especially at the start of events. You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale. You will impact multiple areas of the live event lifecycle, from the planning phase through testing and event launch days.

*Responsibilities*

• Drive continual improvement in observability, monitoring, and scalability with the primary goal to solve the thundering herd problem with cloud traffic (API gateway, IPC between microservices) for live streaming.
• Implement, automate, execute, and analyze the results from a broad range of live streaming delivery focused functional, performance, resilience, and fault injection testing.
• Write and review code, develop documentation, and debug complex problems between systems and components.
• Coordination, collaboration, and partnership across multiple stakeholders for the smooth execution of live-streaming events
• Participate in an on-call rotation and be able to work with flexible hours based on the live events schedule

*Qualifications*

• 5+ years service reliability/operational experience running large scale, high performance systems & internet services with focus on traffic at scale.
• Knowledge of and proven experience with L4 Load Balancer,  HTTP cache, and reverse proxy technologies.
• Expert-level knowledge of Unix or Linux systems and TCP/IP network fundamentals.
• Proficient understanding of networking principles, transport, and application protocols, especially DNS, TLS, and HTTP(s) etc.
• Proficient in a programming language such as Go, Python, Rust etc.
• Experience with using real time and BigData analytics processing technologies (Kafka, time series database and Presto/Trino, Spark SQL etc)
• Ability to work in a highly collaborative environment and to communicate effectively with internal and external partners
• Preferred - B.S. in Computer Science, Electrical or Computer Engineering (or equivalent professional experience)

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $413,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Everything that we build to delight our members, and all of the work we do to figure out how to do that better, relies on our extensive infrastructure, which spans what we rent from AWS to what we build ourselves (we operate our own custom-built content delivery network, Open Connect). Because this infrastructure is so central to everything we do, we want to ensure we are using it in the most effective and efficient way. Doing that well starts with great visibility into how we are using our infrastructure, and actionable metrics and analytics to help us take action as needed.

As a Senior Data Scientist focused on Infrastructure Experimentation, you will join a data org of Analytics Engineers, Data Engineers, and Data Scientists who partner with our infrastructure engineering teams to measure, model, and surface the infrastructure impact of product experiments. You will work closely with partners in data science, platform engineering, and experimentation platform teams to build and maintain models and experimentation capabilities that predict the cost and performance implications of A/B tests, enabling experiment owners to make more holistic decisions that balance member impact with infrastructure performance.

The ideal candidate will excel in experimentation design and evaluation, causal inference, and applied machine learning, with a passion for applying these skills within the infrastructure domain.

To learn more about our team, read here. To learn more about the work in this role, see our recent presentation at AWS Re:invent.

In this role, you will:

● Build and maintain machine learning models that predict the infrastructure cost impact of A/B experiments, translating experimentally observed signals (e.g., request volume changes) into business and system metrics (e.g. projected annualized costs)
● Drive adoption of infrastructure metrics within the experimentation community through analysis, consultation with experiment owners, documentation, and training
● Partner with platform teams (Observability, Experimentation Platform) to improve the quality and coverage of infrastructure usage data feeding our models

● Extend our measurement framework to new metrics (e.g., latency) and new experiment types (e.g., infrastructure canary tests)
● Champion an infrastructure lens within the broader experimentation community,
helping shift culture toward reasoning about the full ROI and infrastructure impact of experiments
● Connect with the larger analytics and experimentation communities at Netflix to bring visibility to our work and learn from others

You are:

● Experienced in experimentation methodology and causal inference, with a strong foundation in A/B testing, treatment effect estimation, and statistical significance
● Experienced in building and maintaining machine learning models in production,
including the full lifecycle of training, evaluation, monitoring, and continuous
improvement
● Fluent in Python and SQL, with experience engineering data pipelines and working with large-scale data systems
● A strong collaborator who thrives in horizontal roles with broad stakeholder surfaces, comfortable influencing decisions through data and analysis rather than direct authority
● An exceptional communicator who can flex between technical and non-technical
audiences, translating statistical concepts for software engineers and business leaders alike
● Comfortable with messy, incomplete data environments and able to balance short term execution with a drive to improve data quality over time
● A strong product thinker who views data science outputs as products, taking an
end-to-end ownership mindset from data quality through to user adoption
● Comfortable with ambiguity, and thrive with minimal oversight and process
● Curious about infrastructure systems; prior experience in the infrastructure domain is a strong plus but not required; the ability and motivation to learn is essential

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Content Promotion & Distribution Data Engineering team helps enable and inform how we launch, promote, and distribute Netflix content across surfaces, channels, and markets. When a Netflix member opens our app, visits a partner device, or encounters our campaigns off-service, we have a few precious moments to help them choose a story that is right for them at that moment in time. Presenting compelling evidence — artwork, trailers, synopses, notifications, and marketing assets — that authentically represent each title and resonate with the member is essential to this effort. We also work to ensure these experiences scale globally across languages, devices, and distribution channels.

Data and insights are at the heart of how we make these decisions. Our role in Data Engineering is to make this possible: to provide robust, scalable, and well-modeled tabular and multi‑modal data foundations that power analytics, experimentation, and machine learning across the Content Promotion & Distribution ecosystem.

We are looking for a seasoned leader to manage our Content Promotion & Distribution Data Engineering team.

The Team:

• Owns core analytical data models and pipelines that power reporting, decision-support, and experimentation
• Builds and operates multi‑modal data foundations (e.g., text, metadata, image, video,  and audio) for ML and GenAI model development and evaluation
• Partners closely with Content Promotion and Distribution DSE, AI and Data Platform, Content Engineering to build and steward complex data and media pipelines, and to set best practices for data storage, access, and usage by analytics engineers, data scientists, and software/ML engineers.

As a leader in this space, you will…

• Hire, lead, and develop a stunning team of Data and ML Engineers across a heterogeneous skill set (data, software, and ML engineering).

• Own the end-to-end data foundations for Content Promotion & Distribution, spanning:

• Traditional data engineering craft: batch/streaming pipelines, data modeling, data warehousing, data quality, and reliability for analytics and experimentation.

• Multi‑modal, ML‑ready data: media, text, and rich metadata pipelines that prepare data for training and serving ML and GenAI models.
• Partner with cross-functional leaders across Content Promotion & Distribution DSE, AI ML Platform, Content Engineering, Studio Algo, and Marketing to ideate, prioritize, and execute on high-impact data products and tools.

• Steer deeply impactful work on foundational data and media products that support Netflix’s Content Promotion & Distribution, spanning agentic solutions, multimodal media understanding, and generation. :

• Title launch management and promotional planning

• Analytics and optimization for promotional media
• Content media and ML foundations, including scalable access to media assets
• Emerging GenAI/ML use cases in promotion and creative automation (e.g.,  Synthetic voice, machine translation, etc.)
• Provide technical vision and strategy for how we model, store, transform, and serve both structured and multi‑modal data to power analytics, experimentation, and ML at scale.
• Balance near-term and long-term needs, from ongoing support of stakeholder quarterly goals to multi-year investments in infrastructure and “paved paths” for ML/GenAI research and productionization.

• Set and raise the technical bar for data engineering craft in this space, including:

• Scalable and interpretable analytical data models

• Reliable batch and streaming pipelines
• Well-governed, discoverable, and reusable ML feature and media datasets
• Drive alignment in ambiguity by clarifying trade-offs, making principled decisions, and bringing diverse partners along a shared roadmap.
• Grow and mentor the team through thoughtful observation, coaching, and courageous, honest feedback; help engineers navigate career development across data, software, and ML engineering paths.
• Build both software and social glue across a wide network of stakeholders—VPs, Directors, Managers, and ICs—enabling decisions that affect hundreds of millions of members and major content and marketing investments.

This role may be for you if…

• You have been leading data engineering teams for 7+ years, including managing managers and larger, heterogeneous teams (data, software, ML engineers) or shared-resource teams.
• You have a proven track record leading innovative, influential data engineering work in complex business domains, ideally involving multimodal media data marketing/promotion, content/media, experimentation, and or ML/AI-driven products.

• You are comfortable owning the technical quality of both:

• Analytics-focused data engineering (ETL/ELT, modeling, warehousing, data quality), and

• ML-focused data engineering (feature pipelines, media and multi‑modal data preparation, training/serving data sets), even if you are not writing production code every day.
• You are a crisp communicator who develops strong relationships with a wide variety of stakeholders—technical and non-technical—and can drive alignment across Director/Manager-level partners.
• You are deeply invested in creating an inclusive team environment and helping each team member grow; you care about psychological safety, diversity of perspectives, and clear, actionable feedback.
• You have experience leading a team of shared resources, effectively prioritizing and sequencing work across multiple domains and stakeholder groups.
• You are an experienced partner for ML Platform, Content Engineering, and Data Platform teams; you can advocate from a data engineering perspective and align on shared components and standards.

• You have deep technical expertise in one or more aspects of data engineering, such as:

• Media or other large-scale, multi‑modal asset processing pipelines

• Building ML- and experimentation-ready data products
• Data warehousing and dimensional/semantic data modeling
• Batch and streaming data processing
• Media or other large-scale, multi‑modal asset processing pipelines
• Building ML- and experimentation-ready data products
• You’re comfortable with a collection of Big Data and cloud-based tech (e.g., S3 or similar object storage, Spark or other distributed processing frameworks, modern data warehouses, workflow orchestration), and are able to make sound architecture and infrastructure tradeoffs.

You are curious, reflective, humble, and impact-oriented; you seek feedback, learn from mistakes, and can pivot when things aren’t working.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $525,000.00 - $950,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom, and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition, and cutting-edge technology. Come be a part of what’s next.

About the team:

Netflix isn’t just a product; it’s a global entertainment engine. We create our own shows and films, license stories from around the world, and invest billions in content every year. Behind all of that is a sophisticated financial ecosystem: FP&A, content planning, production finance, and more. These teams rely on timely, trustworthy data to decide what we make, where we invest, and how we shape the future of Netflix. That’s where this team and this role come in.

We’re looking for a Senior (L5) Data Engineer to join the Content Finance DSE team. In this role, you will design, build, and own scalable, resilient data pipelines and data products that power the core of Content Finance planning and systems. The data you create will be used every day in planning cycles to answer questions such as: 

• How should we allocate and adjust content budgets for upcoming forecasting seasons?
• What signals can inform our long‑term content investment strategy?
• How do we ensure our financial results are finalized quickly, accurately, and with confidence?

Your work will be directly consumed by FP&A, planning, and content accounting teams, spanning Netflix Finance teams from content planning and forecasting to production finance. You will also help define what modern data engineering looks like in this space: shaping your own role, establishing strong data foundations, data modeling, and influencing how we leverage GenAI in the data engineering ecosystem. The systems and products you build will shape how Netflix decides what to fund, where to take risks, and how we grow our content business globally.

Location: Los Gatos, CA preferred, but open to Remote

Who are you?

• You write clean, elegant, maintainable code and are comfortable quickly learning new technologies independently.
• You are proficient in at least one major programming language (e.g., Java, Scala, Python) and are very comfortable working with SQL.
• You are a strong data modeler who can design clear, scalable, and future-proof data models that serve multiple use cases across finance and beyond.
• You think broadly about systems: you understand the complexities of integrating with many upstream and downstream systems, and you can reason about data flows, contracts, and trade-offs across those systems.
• You have a strong product mindset: you think beyond pipelines to the end users, the decisions they need to make, and how data products can unlock value.
• You have a strong background in at least one of the following areas: distributed data processing, software engineering of data services, or data modeling and data warehousing.
• You are familiar with big data technologies such as Spark or Flink and are comfortable working with very large, web-scale datasets.
• You have strong data intuition, a keen eye for detail, and a deep passion for data quality, reliability, and correctness, including clear documentation, robust data contracts, and effective debugging practices.
• You are curious and open to leveraging modern and emerging technologies, including GenAI and next‑generation AI tools, where they make sense and create durable value.
• You resonate with the Netflix Culture and enjoy working independently while also collaborating closely, giving and receiving candid, constructive feedback.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.