At Shopify, Engineering Managers drive impact by giving engineers the direction, support, and coaching needed to excel in our Ruby and Rails ecosystem. As the largest Ruby and Rails shop in the world, we're looking for passionate leaders who can combine technical expertise with people leadership to scale the foundational pieces of Shopify's commerce infrastructure.

You'll lead a team of Ruby and Rails experts tackling complex problems that impact not only millions of merchants worldwide, but also the Ruby and Rails open source community.

About the Team

Shopify’s Ruby and Rails Infrastructure team exists to ensure that Ruby and Rails are 100-year tools that will continue to merit being Shopify’s toolchain of choice. Our goal is to be stewards of the language and ecosystem, both within Shopify and within the open source community.

Ruby and Rails Infrastructure is split into three subteams, each of which operates in its own domain:

• Ruby Infrastructure works on making sure the Ruby language continues scaling at Shopify by contributing to the performance, stability and evolution of the language and its implementation internally and upstream.
• Rails Infrastructure are stewards of Rails within Shopify, and work on improving Shopify’s usage of Rails internally and contributing improvements back to the framework and ecosystem.
• Ruby Developer Experience aims to deliver an opinionated and state-of-the-art Ruby development experience to Shopify and the Ruby community.

On Ruby and Rails Infrastructure, your teammates will be Ruby and Rails experts from around the world, including members of both the Ruby Core Committers and Rails Core teams.

Recent projects include building a new just-in-time compiler for Ruby, a better frontend for Ruby type checking, and a new structured logger for Rails.

Key Responsibilities

In this role, your day-to-day responsibilities will include:

• Managing a team of 6-12 individual contributors while working alongside 3 peer managers and reporting to the group's director.
• Solving cutting-edge language and framework problems while scaling the largest Rails application in the world.
• Collaborating with tech leads to make impactful decisions about how we scale the Ruby language, Rails framework, and our applications to support global commerce.
• Balancing technical contributions with people management and leadership responsibilities.
• Coaching and growing developers passionate about Ruby and Rails, helping maintain a high-performing team in Shopify’s unique remote-first environment.
• Ensuring the team works at the right level of the stack—whether internal to Shopify or in the broader Ruby and Rails ecosystem.
• Partnering with product teams to align language and framework investments with meaningful business outcomes
• Recruiting and hiring excellent candidates to grow the Ruby and Rails Infrastructure team.

What You Bring

• Engineering management experience
• You are excited about AI and how it will transform how we write code in the next year and beyond.
• Deep technical expertise in programming language internals or web framework development OR substantial experience managing teams with this kind of expertise

• Examples of relevant technical experience include:

• Implementing language internals such as parsers, compilers, interpreters, or runtimes

• Designing and implementing type systems
• Developing web application frameworks (Rails, Django, etc.)
• Building developer tools such as language servers, linters, or other static analysis tools
• Experience with Ruby and/or Ruby on Rails is preferred, but we welcome candidates with comparable depth in other languages and frameworks

Nice to Have

• Experience writing Ruby and Rails code, especially in large-scale production environments
• Experience contributing to Ruby, Rails, or related open-source projects
• History of technical writing or speaking about Ruby and Rails related topics
• Experience managing remote or globally distributed engineering teams

At Shopify, we move quickly—our hiring process aims to complete the entire interview loop within 30 days, including a pair programming interview where you'll demonstrate your Ruby expertise.

Join us in our mission to make commerce better for everyone while advancing the Ruby and Rails ecosystem for developers worldwide.

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Engineering Manager - Real Time Analytics

• Remote - Americas
• Engineering & Data

Apply Now

About the role

We’re Building the Future of Real-Time Merchant Analytics at Shopify!

Looking for a Senior Software Streaming Pipelines Engineer and an Engineering Manager to join our team reimagining how merchant data flows through modern streaming architectures. This isn’t your typical ETL role – you’ll be crafting solutions that challenge conventional approaches to data processing at global scale.

What makes this exciting?

• We’ve developed a declarative pipeline framework using Apache Beam, Google Cloud Dataflow, and ClickHouse that transforms how data engineers build streaming systems. Imagine YAML-driven pipelines that eliminate boilerplate code, real-time stream processing across multiple regions, and an architecture that makes complex data transformations feel effortless.
• You’ll work across multiple languages – Kotlin, Ruby, Python, and Rust – choosing the right tool for each challenge, alongside dbt for elegant data modelling and our custom framework that turns pipeline development into a configuration exercise rather than a coding marathon.
• The puzzle? Replacing entrenched batch systems with streaming-first architecture while merchants never notice the transition.
• You’ll tackle fascinating problems: How do you handle late-arriving data in distributed streams? What’s the most elegant approach to backfill terabytes while maintaining real-time processing? How do you architect lightning-fast real-time modelling that seamlessly combines data from multiple tables?
• We embrace AI and LLMs to accelerate repetitive tasks, freeing you to focus on the creative problem-solving that makes this work truly rewarding.

If you love turning “impossible” requirements into beautiful solutions, this is your playground.

About Shopify

Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion
• Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

Shopifyhttps://www.shopify.com

We hire people, not resumes. If you think you’re right for the role, apply now.

Apply Now

Work with us in your early career

Dev Degree Program

A 3-4-year program that allows people to earn a computer science degree while working. It’s designed for those looking to break into computer science or transition into the tech field.

Learn more about our Dev Degree Program

Internship Program

Shopify offers 4-month paid Engineering internships that are open to students, recent graduates, and those early in their careers.

Learn more about our Internship Program

APM Program

Shopify’s 12-month Apprentice Product Manager program is designed to help you gain the skills needed to start a product management career.

Learn more about our APM Program

Design Apprentice Program

Shopify's 12-month Design Apprentice Program pairs early-career designers with senior mentors through two rotations. Built for new graduates, career switchers, and those early in their design careers.

Learn more about our Design Apprentice Program

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Applied ML Engineering - GenAI, AI Agent

• Remote - Americas
• Engineering & Data

Apply Now

About the role

Join Shopify's innovative team as we develop an AI Personal Shopper to transform the online shopping experience. Leveraging cutting-edge AI, including Large Language Models (LLM) and advanced machine learning algorithms, you'll play a pivotal role in delivering personalized recommendations and insightful suggestions tailored to individual preferences. Our goal is to redefine e-commerce by creating a concierge service that enhances how customers interact with Shop and Storefronts. As a Machine Learning Engineering (MLE) lead or individual contributor, you'll be at the forefront of implementing AI systems at scale, directly empowering merchants and creating tangible solutions with real-world impact.

Key Responsibilities:

• Develop and deploy Generative AI, natural language processing, and machine learning models.
• Design and produce scalable AI/ML system architectures.
• Implement data pipelines for fine-tuning LLMs.
• Solve high-impact data problems, delivering business impact through data and machine learning products.
• Prioritize and communicate effectively with both technical and non-technical audiences.

Qualifications:

• Mastery in building data products using generative AI, RLHF, and fine-tuning LLMs.
• End-to-end experience in training, evaluating, testing, and deploying machine learning products at scale.
• Experience in building data pipelines and driving ETL design decisions using disparate data sources.
• Proficiency in Python, shell scripting, streaming and batch data pipelines, vector databases, DBT, BigQuery, BigTable, or equivalent, and orchestration tools.
• Experience with running machine learning in parallel environments (e.g., distributed clusters, GPU optimization).

*At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you’re ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a pair programming interview, using your own IDE.

This role may require on-call work. Ready to redefine e-commerce through AI innovation? Join the team that’s making commerce better for everyone.*

About Shopify

Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion
• Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

Shopifyhttps://www.shopify.com

We hire people, not resumes. If you think you’re right for the role, apply now.

Apply Now

Work with us in your early career

Dev Degree Program

A 3-4-year program that allows people to earn a computer science degree while working. It’s designed for those looking to break into computer science or transition into the tech field.

Learn more about our Dev Degree Program

Internship Program

Shopify offers 4-month paid Engineering internships that are open to students, recent graduates, and those early in their careers.

Learn more about our Internship Program

APM Program

Shopify’s 12-month Apprentice Product Manager program is designed to help you gain the skills needed to start a product management career.

Learn more about our APM Program

Design Apprentice Program

Shopify's 12-month Design Apprentice Program pairs early-career designers with senior mentors through two rotations. Built for new graduates, career switchers, and those early in their design careers.

Learn more about our Design Apprentice Program

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Welcome to Shopify's engine room of innovation. As an Applied Machine Learning Engineering Manager, you will lead teams in crafting groundbreaking ML solutions that redefine connections between millions of merchants and buyers. Your role is to guide ML engineers in making strategic decisions that advance LLMs, agents, and address large-scale real world problems. With a focus on developing extensive models, enhancing search, refining recommendations, and personalizing experiences, your leadership will transform what's currently considered possible in the space of AI-driven commerce.

Key Responsibilities:

• Lead teams to design, refine, and deploy ML models that revolutionize commerce solutions.
• Spearhead initiatives integrating LLMs, agents, and multimodal models into Shopify’s ecosystem.
• Apply machine learning techniques to real world problems by enhancing optimized search and personalized recommendations.
• Cultivate a collaborative culture emphasizing technical excellence, learning, and innovation.

Qualifications:

• Extensive experience managing teams to implement large-scale ML models.
• Proficiency in TensorFlow or PyTorch, and strong Python skills.
• Proven problem-solving skills in complex, real-world product environments.
• Excellent communication skills with a track record of thriving in dynamic settings.

Ready to lead on the bleeding edge of AI? Join the team that's making commerce better for everyone.

At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, coming prepared with your own IDE.

This role may require on-call work.

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Data Engineers

• Remote - Americas
• Engineering & Data

Application

*Required

Name*

Email*

Location*

Start typing and select a location from the dropdown.

Resume

Linkedin Profile

Alternative Link

If you've contributed to the largest open-source projects, optimized systems to handle unprecedented traffic, or developed game-changing algorithms, we want to know about it. Link your highlights and skip the resume.

Message to hiring manager:

Do you have the right to work in your listed location?

Which track are you interested in pursuing with Shopify?*

Individual ContributorPeople Manager

How many years of professional experience do you have in data engineering, not including academic experience and internships?*

0-3 years3-5 years5-7 years7-10 years10+ years

Experience with streaming data pipelines is required for this role. How many years of hands-on experience do you have building streaming or real-time data pipelines?*

Less than 1 year1 -2 years3- 5 years5+ years

As a Data Engineer, how would you describe your approach to mentorship?*

I'm still learning the ropes, so I tend to focus more on absorbing knowledge myself.I'm comfortable with my skills, but I still rely on more experienced engineers for complex problems.I mentor others and promote a culture of learning and growth within the organization.I mentor others, and play a role in increasing the technical competencies of my craft at the org level.

As a Data Engineer, how would you describe your experience on projects?*

I haven't led a project yet, but I've contributed to the tasks assigned to me and learned from the process.I've led a small project or a part of a larger project from start to finish.I've led multiple projects across teams and stakeholders, and was accountable for the project's success.I've led high-stakes projects spanning multiple stakeholders, disciplines, and technical complexities.

Describe your experience with data architecture and modeling concepts in your current or previous roles.*

I have contributed to building data models within a data warehouse, with a clear and defined scope.I've contributed to and led data modeling and design within a data warehouse, with an ambiguous scope.I've led data modeling and design for complex concepts within a data warehouse frameworkI regularly lead the design and modeling of complex, large-scale data warehouse systems.

As a Data Engineer, what area would you prioritize for your main focus, aligning with your expertise and interest?*

Bringing data onto or from a data platform (ETL/ELT), managing API interactions, and monitoring pipelines.Building tooling and frameworks crucial for data processing and exposure, and creating custom software.Data modeling, incorporating intricate business logic, and constructing a robust data warehouse.Streaming data pipelines, delivering real-time data transport solutionsData science and analytics, constructing data marts for in-depth data analysis, and serving the business.

Please confirm you've read and agree with our candidate NDA*

NDA here

Please confirm you've read our applicant privacy notice*

Privacy notice here

Share an AI-assisted or vibe-coded work sample (optional)

Want to stand out? Optionally share something you’ve made with an AI tool — e.g. a “sell yourself” build, a short project, or a creative take on your background — that shows why we should consider you and how you work with AI. We’re interested in your taste, effort, and the quality of what you produce. Submit a link, paste your code or output, or attach a file. Not required to apply.

Work with us in your early career

Dev Degree Program

A 3-4-year program that allows people to earn a computer science degree while working. It’s designed for those looking to break into computer science or transition into the tech field.

Learn more about our Dev Degree Program

Internship Program

Shopify offers 4-month paid Engineering internships that are open to students, recent graduates, and those early in their careers.

Learn more about our Internship Program

APM Program

Shopify’s 12-month Apprentice Product Manager program is designed to help you gain the skills needed to start a product management career.

Learn more about our APM Program

Design Apprentice Program

Shopify's 12-month Design Apprentice Program pairs early-career designers with senior mentors through two rotations. Built for new graduates, career switchers, and those early in their design careers.

Learn more about our Design Apprentice Program

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Product Data Scientists

• Remote - Americas
• Engineering & Data

Apply Now

About the role

Are you ready to decode commerce through the power of data? As a Product Data Scientist at Shopify, you'll deeply understand our products, telling their stories and figuring out how to make them 10x better. You’ll own big problems and collaborate with cross-functional partners to build data-informed solutions. You'll be the architect of insights that guide our product journey, helping determine what we build and how we build it.

Key Responsibilities:

• Unearth insights through advanced analytics and data exploration to inform product strategy and development.
• Partner with product managers and engineers to translate complex datasets into actionable business strategies.
• Apply statistical models, regression analysis, segmentation techniques, and experimental methods to optimize product performance.
• Build powerful data products that improve the experience of merchants (and more) worldwide.
• Influence decision-making processes by providing clear, data-backed recommendations.
• Continuously innovate by leveraging AI tools and cutting-edge analytics techniques.

Qualifications:

• Strong understanding of SQL and other data tools such as dbt.
• Proficiency in programming languages such as Python, and experience with data visualization tools.
• Proven experience in statistical analysis, data modeling, and machine learning.
• Skilled in translating complex data into actionable insights for stakeholders.
• Ability to own and solve complex product and business problems with data.
• Experience with cloud platforms and big data technologies is a plus.
• Demonstrated ability to thrive in a fast-paced, dynamic environment.

Ready to transform data into groundbreaking product discovery? Join the team that's making commerce better for everyone.

About Shopify

Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion
• Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

Shopifyhttps://www.shopify.com

We hire people, not resumes. If you think you’re right for the role, apply now.

Apply Now

Work with us in your early career

Dev Degree Program

A 3-4-year program that allows people to earn a computer science degree while working. It’s designed for those looking to break into computer science or transition into the tech field.

Learn more about our Dev Degree Program

Internship Program

Shopify offers 4-month paid Engineering internships that are open to students, recent graduates, and those early in their careers.

Learn more about our Internship Program

APM Program

Shopify’s 12-month Apprentice Product Manager program is designed to help you gain the skills needed to start a product management career.

Learn more about our APM Program

Design Apprentice Program

Shopify's 12-month Design Apprentice Program pairs early-career designers with senior mentors through two rotations. Built for new graduates, career switchers, and those early in their design careers.

Learn more about our Design Apprentice Program

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Infrastructure Engineers

• Remote - Americas
• Engineering & Data

Apply Now

About the role

Infrastructure engineers build and develop the blocks that move all of Shopify forward. It's basically building the infrastructure that powers the infrastructure for commerce [aka Shopify]. They handle absurdly high amounts of traffic [think: millions of requests per second] and deliver performant, resilient and seamless shopping experiences for everyone, everywhere.

At Shopify, every developer is expected to spend the majority of their time coding. Working on infrastructure doesn't mean just managing it; it means actually writing code to build and improve the infrastructure.

Key Responsibilities

• Write code to build and maintain infrastructure that supports millions of transactions during global peak shopping periods
• Design and optimize high-performance systems that push technology to its limits and handle critical workloads
• Develop comprehensive monitoring and observability solutions to ensure system reliability and performance
• Build scalable data infrastructure that powers commerce experiences for merchants and customers worldwide

Qualifications

• Strong expertise in infrastructure engineering with proven coding experience building scalable systems
• Proficiency with containerization and orchestration using Kubernetes, Docker, and infrastructure-as-code with Terraform
• Experience with monitoring and observability platforms, particularly Prometheus and related tooling
• Hands-on experience with distributed systems technologies including Kafka, MySQL, Redis, and cloud platforms like GCP

At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, come prepared with your own IDE.

This role may require on-call work

Ready to build the backbone of Shopify? Join the team that's making commerce better for everyone.

About Shopify

Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion
• Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

Shopifyhttps://www.shopify.com

We hire people, not resumes. If you think you’re right for the role, apply now.

Apply Now

Work with us in your early career

Dev Degree Program

A 3-4-year program that allows people to earn a computer science degree while working. It’s designed for those looking to break into computer science or transition into the tech field.

Learn more about our Dev Degree Program

Internship Program

Shopify offers 4-month paid Engineering internships that are open to students, recent graduates, and those early in their careers.

Learn more about our Internship Program

APM Program

Shopify’s 12-month Apprentice Product Manager program is designed to help you gain the skills needed to start a product management career.

Learn more about our APM Program

Design Apprentice Program

Shopify's 12-month Design Apprentice Program pairs early-career designers with senior mentors through two rotations. Built for new graduates, career switchers, and those early in their design careers.

Learn more about our Design Apprentice Program

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The driver’s seat is a hot seat. Engineering Managers drive impact by giving engineers the direction, support, and coaching needed to ship the thing, and ship it fast. This isn’t about herding. Managers are there to make great decisions about product development that impact millions of users daily in the process. Every piece of the rocketship counts.

We expect our managers to be masters of the craft and be able to go deep into the details, mastering the fundamentals and honing their skills. Cavalry officers must be able to ride horses. You have a deep love for the craft and have discovered the greatest impact you can make is through leading others. At the same time, you still enjoy getting your hands dirty, coding for fun or on the weekends.

Why You’ll Love Working at Shopify:

• Empowerment at Scale: Make impactful decisions that shape the future of commerce for millions of merchants worldwide.
• Innovative Environment: Lead teams working on cutting-edge projects, from AI-driven translation tools to resilient data platforms and streaming services.
• Growth Opportunities: Cultivate your leadership skills while mentoring engineers and driving their professional development.
• Community and Culture: Be part of a diverse and inclusive work environment that values creativity, collaboration, and continuous learning.

Key Responsibilities:

• Lead and Inspire: Guide and support elite engineering teams passionate about building innovative infrastructure solutions.
• Drive Impactful Decisions: Oversee the development and execution of strategic projects, making critical decisions that affect product development and user experience.
• Cultivate Technical Excellence: Foster a culture of innovation, collaboration, and continuous improvement within your team, ensuring high performance and accountability.
• Hands-On Leadership: Stay engaged in technical designs and product development, maintaining a balance between management responsibilities and hands-on contributions.
• Cross-Functional Collaboration: Work closely with product managers, data teams, and other stakeholders to align on project goals and deliverables.

What You Bring:

• Proven experience as a technical lead or manager, with a track record of building and leading high-performing engineering teams.
• Strong technical background in software development or infrastructure management, with expertise in relevant technologies.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• A passion for mentoring and developing talent, with a focus on fostering a positive team culture.
• Experience with shipping weekly and a commitment to delivering high-quality results.

Nice to Have:

• Familiarity with cloud technologies, data engineering, or large-scale systems.
• Experience in driving technical projects from concept to completion.
• Knowledge of performance engineering, load testing, or resilience engineering practices.

If you are excited about leading high-performing teams and making a significant impact, we want to hear from you! Join us in our mission to make commerce better for everyone.

At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a pair programming interview, using your own IDE.

This role may require on-call work

At Shopify, our Applied Machine Learning Engineers tackle the most challenging technical problems in commerce. By leveraging vast datasets and cutting-edge machine learning technologies, like multimodal LLMs, embeddings, etc., you will develop ways that redefine how merchants connect with buyers. Your work will empower merchants with advanced tools and systems that enhance search, discovery, and agents at a global scale.

As an Applied Machine Learning Engineer, you will work with petabyte-scale data and utilize state-of-the-art ML methods to build and deploy models that serve millions of users. You'll be at the forefront of AI innovation, using technologies including LLM posttraining, reinforcement learning, and model quantization, to redefine what’s possible in e-commerce.

Key Responsibilities:

• Analyze and interpret large-scale datasets to drive model development and optimization.
• Collaborate with cross-functional teams to integrate ML solutions into Shopify's core products.
• Design, build, and deploy agents and multimodal LLMs that improve merchant and buyer interactions.
• Stay current with the latest advancements in machine learning technologies and frameworks.
• Document and share technical insights and best practices across teams.

Qualifications:

• Extensive experience in building and deploying machine learning models at scale.
• Proficiency in using ML framework (e.g., TensorFlow, PyTorch) and programming languages like Python.
• Strong analytical and problem-solving skills in solving real-world product problems.
• Excellent communication skills and the ability to work in a fast-paced, collaborative environment.

Ready to deploy your next breakthrough model? Join the team that’s making commerce better for everyone.

At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, come prepared with your own IDE.

This role may require on-call work

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Technical Support Specialist

Bengaluru - BLR1

ID:5215 (for internal use only)

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Technical Support Specialist

Apply Now

Samsara's Mission

Improve the safety, efficiency, and sustainability of the operations that power the global economy.

Read Samsara's Culture Playbook

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

You will be a part of our frontline support team made up of highly skilled and professional Technical Support Specialists. You will be responsible for responding to customer requests for technical assistance over the phone and chat.  Your work will be fast-paced and independent in nature as you will be expected to manage yourself in a way to be available to respond quickly to our customers. Your work will also be collaborative, working together with other support representatives in multiple support locations to serve our customers.

Experience in a technical support role, proven customer-facing skills, and strong communication skills are a must. You should be comfortable handling complex technical issues and working in a fast-paced phone support environment.

This role requires you to work in a hybrid model (2 days from the Bangalore office) and be flexible to operate in a 24/7 support environment, including rotational shifts as needed.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

In this role, you will:

• Respond to inbound customer requests for assistance through live channels (phone and chat).
• Collaborate with other customer support teams to communicate and escalate customer issues in a timely fashion
• Self-Manage personal workload in an effective and efficient manner
• Utilize available knowledge, tools, and resources to resolve customer issues
• Clearly and concisely documenting communications with Customers
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for this role:

• Bachelor’s degree or higher in a technical discipline such as computer science or engineering
• 3-5 years of experience in a technical product support role
• Technical know-how - you’re comfortable interfacing with engineers, translating complex technical concepts into everyday language, and working with SaaS system
• Interest and ability to work in a fast-growing environment with changing responsibilities.
• Technical expertise in cloud applications, mobile computing, and hardware device troubleshooting
• Able to work flexible hours - nights and weekends a plus

An ideal candidate also has:

• General knowledge about Electrical circuits, GPS and telematics.
• General knowledge of networking.
• Excellent troubleshooting skills.
• Excellent communication skills in both written and spoken.
• French fluency is a plus.

LI-Onsite

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email [email protected] or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

Samsara's Mission

Improve the safety, efficiency, and sustainability of the operations that power the global economy.

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Technical Support Specialist

Bengaluru - BLR1

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