Staff Product Manager - Intuit Data Exchange

Category Product Management

Location
Mountain View, California
Job ID 19987

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join Intuit Data Exchange as a Staff Product Manager. We are a platform team that connects Intuit’s market leading products such as QuickBooks, MailChimp, TurboTax and Credit Karma to an ecosystem of 20,000+ data providers and apps. In this role, you will drive the development of connection widgets, creating awesome and intuitive experiences.

Responsibilities

• Lead the ideation, technical development, and launch of innovative agentic AI features, creating awesome and intuitive experiences for data in.
• Design and execute data-driven experiments (including A/B testing and user studies) to validate hypotheses and agentic AI effectiveness related to data-in experiences
• Design and bring to market revenue generating, customer-driven software products
• Identify market opportunities through customer research and insights
• Prioritize customer needs and develop product roadmaps to deliver on meeting customer expectations
• Lead, create and launch market-leading product offerings in partnership with sales, marketing, engineering, user experience and support
• Own the product lifecycle from requirements gathering through production and release
• Identify, track and analyze key performance metrics to measure progress towards achieving goals and ensure continuous improvement for the product portfolio

Qualifications

• 5+ years industry experience designing and delivering world-class software products in a technical product management role
• 3+ years demonstrated experience managing the end-to-end lifecycle for a small business or enterprise product offering
• Deep understanding and significant hands-on experience defining strategy for and shipping products leveraging Generative AI, Agentic AI systems, or Conversational AI to solve challenging user problems at scale
• Strong technical skills with experience in developing technical requirements documentation, UX design, and development of functional specifications
• Strong technical intuition; comfortable engaging deeply with engineering on system architecture, model capabilities, APIs, and technical trade-offs , able to translate complex AI concepts or technical / platform needs into clear product requirements
• Thought leadership: staying ahead of trends in Agentic AI, AI/ML, and related technologies, sharing learnings with the team to continuously raise the bar
• Proven expertise leading cross-functional teams to work collaboratively in a fast-paced environment
• In depth knowledge of app development strategies and technologies
• Bachelor's degree in Computer Science, Engineering or equivalent technical field

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area, CA: $180,500-$244,000

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Staff Machine Learning Engineer

Category Software Engineering

Location
Mountain View, California; Plano, Texas
Job ID 3497

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join Intuit as a Staff Machine Learning Engineer!

In this role, you’ll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You’ll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations.

Responsibilities

• Work with AI scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
• Build "machine learning ready" feature pipelines.
• Partner with AI scientists to understand, implement, refine and design machine learning and other algorithms.
• Run regular A/B tests, gather data, and draw conclusions on the impact of your models.
• Monitor and maintain production models.
• Work cross functionally with product managers, AI scientists and product engineers, and communicate results to peers and leaders.
• Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

Qualifications

• BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
• 7+ years of experience
• Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• Knowledge of machine learning techniques (i.e. classification, regression, and clustering).
• Understand machine learning principles (training, validation, etc.)
• Knowledge of data query and data processing tools (i.e. SQL)
• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
• Experience deploying highly scalable software supporting millions or more users
• Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
• Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $ 202,500- 274,000
References
Visible links
1. https://www.intuit.com/careers/benefits/full-time-employees/
Mountain View $202500 - $274000
Plano, TX $178500- $241500

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Staff TPM Tech

Category Program Management & Business Operations

Location
Mountain View, California; San Diego, California
Job ID 21428

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. We help give over 50 million consumers, small business, and self-employed customers around the world the opportunity to prosper.

We are looking for creative technical problem solvers with a passion for tackling tough customer problems to join our team and serve as a program leader, with responsibility for driving program delivery and success. We are looking for candidates who have strong program management experience with deep technical understanding, customer empathy, strong execution capability, experience working with senior leadership, and a track record of building strong business partnerships and delivering impactful business results.

The role is responsible for driving high impact programs, stewarding critical strategic initiatives and driving the delivery of transformational change by providing leadership and direction to cross-functional teams, and partnering with other TPMs and leaders across the organization to drive a portfolio of programs.

You will also be part of a centralized PMO team that thrives on learning from and teaching each other, improving our craft, and growing, and the broader Intuit Program Management community.

Required Skills:

Focus strategically

• Accelerate the most strategic business outcomes by working collaboratively with VP+
  leaders in your space to drive portfolio strategy and align squad resource allocations.
• Identify when a decision or tradeoff is needed, drive discussions, assess options, and
  provide principled and data-driven recommendations to stakeholders for final
  decision.
• Drive program execution, ensure program deliveries align to operational standards,
  contribute to the continuous improvement of operational standards.

Lead change

• Generate broad executive level support for the program/portfolio.
• Partner with leadership to create a culture where teams are encouraged to share
  information, constructively debate and communicate freely.
• Evangelize change and contribute to the development of a high performing team.

Enable scale

• Define and implement program/portfolio best practices that are repeatable and
  embody continuous improvement.
• Drive areas of improvement across the program and work with stakeholders to enable
  cross-Intuit acceleration.

Domain expertise

• Navigate enterprise finance, legal, & privacy program areas with ease, drawing from
  experience to accelerate outcomes, predict challenges, and prevent failures.
• Apply your expertise in software development approaches & SDLC methodologies to
  the portfolio, and help drive operational excellence.
• Identify and leverage expertise in others to reach solutions.

Deliver programs

• Develop and execute against a high quality plan that is organized into manageable
  pieces that can be individually owned.
• Use data to assess outcomes and progress to plan, and use independent judgment to
  provide insights and communicate to stakeholders.
• Establish mechanisms for the team to identify risks and issues, and present
  recommended response plans to stakeholders.

How you will grow…
You will be part of a strong cross-organizational Intuit Program Management community
that comes together to share experiences and solve problems. You’ll partner with an
experienced program leadership team that helps break down barriers - allowing you to
grow and develop your career, increase contribution to the company and accelerate
delivery of innovation for our customers.

You will also be part of a centralized PMO team that thrives on learning from and teaching each other, improving our craft, and growing, and the broader Intuit Program Management community.

Responsibilities

• Be a leader in the Foresight PMO org
• Drive planning, execution, and operations across AI and LLM product areas
• Own all aspects of program structure, execution, and communication, including Product and Program Reviews, sprint planning, sprint demos, code jams, and more.
• Support our various external partnership programs
• Build operational rigor and operational processes to cross-functional teams to ensure sustainable results and delivery against the timelines
• Identify core and critical issues to organizational performance and clearly communicate status, progress, and results across the organizational boundaries and levels
• Build and maintain relationships inside and outside the organization to ensure strong collaboration, raise the profile of the team and its key initiatives, and capitalize on emerging opportunities

Qualifications

• Proven program manager with 8+ years’ experience as a Technical Program Manager, with demonstrated success driving clarity and strategic direction for high-velocity, innovative engineering teams operating in conditions of significant ambiguity
• Experience with AI, GenAI or other emerging technologies
• Passion for operational excellence and the desire to have a significant impact on the business
• Degree in engineering, computer science, information systems or equivalent
• Demonstrated ability to influence at the VP level within a matrixed environment
• Entrepreneurial mindset and experience; willing and able to challenging the status quo
• Excellent balance of people, organizational, and technical skills, and can execute and deliver successfully in situations where authority is not a given
• Experience with high growth, fast moving teams and projects
• Exceptional ability to work cross functionally and to build cross functional partnerships
• Excellent verbal and written communication skills with the ability to communicate and collaborate at all organizational levels. Applies the nuances of influencing based on the situation, knowing when to push and when to ease through designs, ideas, and roadmaps.
• Learning mindset, curious, bold, self-aware and humble

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Group Manager, FP&A — Technology Ecosystem

Category Finance

Location
Mountain View, California
Job ID 21484

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit's mission is powering prosperity around the world. We do it by attracting the world's top talent, bringing vital partners into our global platform, and leaving the world a better place through exceptional corporate citizenship. Every day we innovate with our flagship products: TurboTax, QuickBooks, Credit Karma, Mailchimp, and our growing Mid-Market solutions.

Reporting to the Director of FP&A for Technology Ecosystem Finance, this is one of the most strategically significant finance roles at Intuit. The Group Manager serves as the senior finance business partner to the CTO organization across five revenue-generating segments: Small Business (QuickBooks), Consumer Group (TurboTax), Fintech (Credit Karma), Mailchimp, and Mid-Market

This leader shapes how technology investment decisions are made and communicated at the highest levels — connecting product development spend, engineering capacity, and platform investments to measurable business outcomes. The role demands an exceptionally seasoned finance executive with multi-segment complexity experience, CTO-organization partnership depth, and the executive presence to operate confidently at the C-Suite level. Direct management of a team of 6–7 finance professionals.

Responsibilities

Strategic Finance Partnership

• Serve as the primary finance executive for 5 CTO staff leaders across all revenue-generating segments, providing thought partnership grounded in each segment's economics, growth profile, and cost structure.
• Translate technology investment decisions into measurable business outcomes; build frameworks connecting R&D spend, platform development, and engineering capacity to revenue growth, product velocity, and operational efficiency.
• Anticipate risks and opportunities relative to the strategic plan; lead senior-level discussions and develop actionable mitigation and growth plans across the portfolio.
• Navigate complex cross-segment financial trade-offs, synthesizing portfolio-level insights for the CTO and senior finance leadership to drive resource allocation and strategic prioritization

Financial Planning & Resource Allocation

• Lead the annual financial planning process across 5 CTO staff organizations, driving rigorous resource allocation to Intuit's highest-priority technology investments and ensuring alignment to overall company financial performance targets.
• Proactively manage the full product development budget across all revenue-generating segments, providing both strategic direction and pragmatic guidance to senior leaders on spend drivers, investment trade-offs, and efficiency opportunities.
• Partner with Technology and Finance leadership to build multi-year investment roadmaps that reflect segment-level priorities while optimizing Intuit's consolidated technology spend.
• Lead preparation and delivery of senior leadership financial reviews, including executive-level presentations to the CTO organization and participation in company-wide planning forums.

Operational Excellence & Reporting

• Drive operational excellence across all financial reporting, ensuring consistency, quality, and speed of insights that enable confident decision-making at the executive level.
• Invest in the tools, processes, and frameworks that improve outcomes for both business and finance partners with an AI first approach; establish best-in-class reporting standards across a complex, multi-segment portfolio.
• Provide clear, executive-ready financial narratives that connect operational data to strategic context and business outcomes.

Team Leadership & Development

• Lead, mentor, and develop a team of 6–7 finance professionals, setting a high standard for analytical rigor, operational rigor, business insight, and executive partnership; cultivate a culture of continuous learning and high performance.
• Ensure team members have the resources, tools, skills, and capabilities required to excel as finance business partners across Intuit's most complex and high-visibility technology organizations.
• Build a team that consistently delivers insightful, forward-looking recommendations that accelerate growth and drive efficiency — not just reporting after the fact.
• Build and maintain trusted relationships across Intuit's finance leadership team, ensuring holistic thinking across business segments and functions.

Qualifications

• 12+ years of progressive FP&A experience or equivalent tenure in corporate finance, investment banking, private equity, or management consulting — with significant experience in technology or SaaS environments preferred.
• Demonstrated track record of leading and developing high-performing finance teams of 5 or more in complex, matrixed organizations; this role requires a seasoned, tenured manager with proven ability to build and sustain a high-performance team culture.
• Proven ability to translate technology investment decisions into business outcomes — connecting engineering spend, platform investments, and R&D allocation to measurable financial and product results.
• Experience partnering directly with C-Suite and SVP-level technology and product executives; ability to influence senior stakeholders using data, financial frameworks, and clear business narrative.
• Deep experience managing financial planning and business partnership across multiple business units or segments simultaneously, with the ability to navigate competing priorities and synthesize portfolio-level insights.
• Exceptional verbal and written communication skills; ability to construct and deliver compelling, executive-ready financial narratives with confidence and clarity.
• Strong analytical orientation with creativity in problem-solving; ability to operate effectively in ambiguous, fast-moving environments while maintaining rigor and delivering on commitments.
• Demonstrated grace under pressure, sound judgment, and the ability to manage high-stakes situations with composure and a collaborative spirit.
• Prior experience as a finance business partner to a CTO, CTO staff, or technology product organization at a scaled software or SaaS company preferred.
• Experience supporting multiple distinct business segments or product lines with meaningfully different financial profiles.
• MBA, CFA, and/or CPA strongly preferred, BS/BA required.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Senior Staff Data Scientist (Global Business Solutions Group)

Category Data

Location
Mountain View, California
Job ID 21535

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit SBSEG Data Science has an exciting opportunity to be part of the fast-growing Sales and Mid-market Data Science Capabilities team that plays a critical role in driving growth in Sales with a long-term winning strategy. Disrupt the small business mid-market is one of Intuit’s Big Bet initiatives.

The Sales Data Science Capabilities team is responsible for (1) Building AI/ML Native Capabilities such as product recommendation and lead scoring models for the Sales teams to maximize conversions, and enhance Seller productivity and Efficiency; 2) Providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps; (2) providing data/tools/actionable insights/experimentation for the execution of multiple priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the mid-market business is doing;

We are looking for a Senior Staff Data Scientist, who is intellectually curious and extremely self-driven, with a proven track record of leading data science support for critical or high-growth business areas. The ideal candidate will also have a passion for operationalizing data-driven insights into action through influencing the velocity and quality of learnings, while demonstrating a problem-solving and extreme ownership mindset.

Responsibilities

• Develop ML models and LLM applications to address business problems.
• Collaborate with data scientists and data engineers across different analytics teams to work on cross-functional projects or develop analytics capabilities.
• Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.
• Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.
• Proactive explore and identify new business opportunities to help business partners to achieve business goals.
• Communicate data and insights effectively to business partners of all levels including the senior leadership team.
• Coach and develop junior data scientists on the team.

Qualifications

• 10+ years of experience working in web, product, customer/care, strategy, sales, marketing, CRM or other related analytics fields. Experience in B2B industry is a plus.
• Highly proficient in SQL, Python and data story telling.
• Multiple years of Hands On experience in developing and deploying AI/ML models, LLMs, etc.
• Ability to create analytical framework for solving complex business problems with proven track record.
• Ability to manage multiple projects simultaneously to meet objectives.
• Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.
• Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Sr Credit Risk Strategy Lead

Category Security, Risk & Fraud

Location
New York, New York
Job ID 21388

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

*Description*

One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity.

QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are the fastest growing SMB lending business in the market. We are looking for top talents and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply.

The role as QuickBooks Capital credit strategy lead will play vital roles in the following areas to help the business grow:

·Drive new lending business initiatives from credit risk strategy perspective, have innovative ideas to optimize, and provide the most value to customers and drive business growth, at the same time meeting Capital business P&L goal.

·Craft complex credit strategy proposals in underwriting credit policies and account management credit policies for lending products. Manage policy performance, reporting and communicating to stakeholders and leadership

·Proactively identify opportunity areas for future enhancements, opportunities are not limited in credit risk area, but includes opportunities in every touch points in customer cycle. Drive end to end from ideas to actual business results.

·Work with our data scientist team to develop innovative risk solution by leveraging the latest technology to help QuickBooks customers financing needs

Responsibilities

• Craft complex Credit segmentation criteria for targeting purpose. Ensure proposal will meet credit risk standards and will also driver higher response from customers with more certainty.Use Quickbook data to tell good story and convince audiences.

• Have strong analytical skills and strategic thinking, expert at using data to build assumptions, prove hypothesis and build structured framework of proposal.

• Manage policy performance, portfolio performance, extract meaningful insights and reporting,communicate to stakeholders and leadership to drive actions and alignments.

• Have innovative mindset, constantly identify opportunities in credit, product experience, targeting stage and more to drive business growth or reduce complexity

• Build great ownership and leadership by working collaboratively with business partners (product development, product management, marketing, data engineering, compliance, underwriting team etc.) to design new products to increase our market shares.

• Influence and able to reach agreement with cross functional teams to realize ideas to actual business results

• Team up with our data scientist, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, and perform portfolio analyses.

• Use big data technology to mine massive scale transactional data to credit risk analyses and translate into actionable business opportunities.

• Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy

Qualifications

• MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 3+ years working experience

• 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred

• Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively

• Proficient in one of the following analytics tools, such as Python, R, SQL

• Advanced Excel skills with strong logical and SQL/relational database query skills

• Familiar with big data technology such as HIVE, Hadoop and other related concepts

• Having credit risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections

• Excellent communication skills and ability to learn fast, and confidence in taking ownership

• Passion for analyzing data, proactively looking for business opportunities and drive new innovation in lending industry.

• Able to work in a fast-paced working environment, results driven

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
New York $140,500- 190,000
References
Visible links
1. https://www.intuit.com/careers/benefits/full-time-employees/
New York $140500 - $190000

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Staff FrontEnd Engineer

Category Software Engineering

Location
Mountain View, California
Job ID 19422

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative
thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder"
mindset is essential. This means seeking out those who can seamlessly integrate
AI and emerging technologies to efficiently and effectively solve our customers'
problems.
At Intuit, we hold a global leadership position in financial management solutions.
We've been at the forefront of inventing Virtual Platforms and democratizing cloud
computing for small businesses and their patrons alike. Our 40 years of expertise
have rooted us in the startup mentality, positively disrupting ourselves as we
constantly identify cutting-edge technology and design paradigms. Our teams are
dynamic, focused on delivering creative solutions with a side of fun

Responsibilities

• Create Front End solutions to deliver exceptional customer experiences
• Translate customer insights into mockups, wireframes, and proof-of-concept code
• Lead a small team to solve complex programming and design issues
• Contribute to project design and architecture and execute on web, mobile,and front-end software development
• Provides technical direction and guidance to the team by analyzing,evaluating, and prioritizing technical issues/ features, ultimately ensuringthat high-quality solutions are delivered
• Proactively identify opportunities to enhance software applications with AI technology
• Coach and mentor junior engineers on best practices of softwareengineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
• Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

Qualifications

• BS/MS in Computer Science or related area or equivalent experience.

• 7+ years of total experience delivering enterprise-class applications.

• Solid foundation in writing scalable application code following best practices of

accessibility, internationalization, and instrumentation.

• Experience with cross-browser, cross-platform, and design constraints on the

web and mobile.

• Experience with JavaScript, Typescript, React, HTML, CSS

• Solid knowledge of algorithms and design patterns.

• Proficiency with JavaScript application design and testing experience.

• Proficiency in mid-tier languages like Java.

• Experience with test automation: TDD, unit/integration/functional testing.

• Experience with Relational Database Design and Implementation.

• Interest in building CI/CD pipelines.

• Practical experience in developing applications using microservices, container

technologies, container management systems such as Kubernetes, Mesos, etc.

• Strong experience with Databases design (SQL, NoSQL) and analytics.

• Prior working experience in utility computing and/or cloud computing domain.

• Experience building and deploying applications and services into cloud

environments.

• Proficient in building or integrating functional AI models using techniques such as

LLM prompting, AutoML modeling, etc

• Skilled in evaluating and monitoring the performance of AI technology in

production and making necessary adjustments to ensure optimal application

performance

• Possesses an in-depth understanding of AI integration and can lead the

integration process effectively, while coaching junior engineers on how to

leverage AI

• Ability to work collaboratively with cross-functional teams, including data

scientists, product managers, and software engineers.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $ 202,500- 274,000
References
Visible links
1. https://www.intuit.com/careers/benefits/full-time-employees/
Mountain View $202500 - $274000

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Manager 3, QuickBooks Capital - Credit Risk

Category Security, Risk & Fraud

Location
Mountain View, California
Job ID 20289

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

As a premier and rapidly expanding provider of small business financing within the United States, QuickBooks Capital operates as a financial technology innovator under Intuit, committed to transforming the landscape of small business lending. Our primary product offerings include term loans and lines of credit, both of which are developed and evolved with a steadfast commitment to customer-centricity. We are building a world-class team of problem-solvers and visionary thinkers who thrive on cross-functional collaboration and high-stakes challenges. The small business lending sector has been experiencing rapid evolution with the emergence of sophisticated alternative data and methodologies. We are seeking a visionary credit leader to lead a multi-billion dollar lending function, an individual who integrates a disciplined risk management foundation with an innovation-first mindset. If you are a professional dedicated to driving sustainable growth and continuous evolution within a highly dynamic, pioneering, and collaborative professional environment, we would like to hear from you.

Responsibilities

The role as QuickBooks Capital credit risk manager will own the responsibilities including:

Portfolio Ownership & Strategy

• Oversee the overall credit risk strategy development for QB Capital Direct Lending products.
• Define risk appetite, portfolio guardrails, and return thresholds aligned with business objectives
• Drive portfolio growth while maintaining disciplined risk management and strong unit economics
• Anticipate macroeconomic and market-driven risks; adapt strategy proactively

Credit Strategy & Decisioning

• Lead the design and evolution of underwriting strategies, segmentation, and pricing frameworks
• Oversee credit policy, approval strategies, and line assignment methodologies
• Guide test-and-learn experimentation to continuously optimize risk vs. growth tradeoffs
• Ensure scalable, automated decisioning aligned with long-term platform goals

Analytics, Modeling & Insights

• Set the vision for portfolio analytics, including vintage performance, lifetime value, and risk-adjusted returns
• Partner with Data Science to prioritize and shape credit models and decision systems
• Translate data into clear, strategic recommendations for executive stakeholders
• Establish KPIs and reporting frameworks that drive accountability and transparency

Cross-Functional Leadership

• Act as the primary risk partner to Product, Capital Markets, Finance, and Operations
• Influence product roadmap decisions to embed risk-aware design and customer segmentation
• Support capital strategy, including investor discussions, forward flow agreements, and funding optimization
• Align stakeholders on tradeoffs between growth, customer experience, and credit risk

Team Leadership & Capability Building

• Lead and mentor a team of credit risk analysts and managers (or build the team as the portfolio scales)
• Establish best practices in credit risk management, experimentation, and governance
• Foster a culture of data-driven decision-making and continuous improvement

Governance & Regulatory Oversight

• Ensure robust risk governance, including policy frameworks, model validation, and audit readiness
• Interface with internal risk, compliance, and legal teams to meet regulatory expectations
• Present portfolio performance, risks, and strategies to senior leadership and risk committees

Qualifications

• Advanced degree (MS/PhD) in a quantitative field such as Statistics, Economics, Operations Research, Engineering, or a related discipline
• 15+ years of experience in credit risk within lending, fintech, or financial services, with significant ownership of portfolio performance
• 8+ years of people leadership experience, including building, managing, and developing high-performing teams of risk analysts and/or data scientists
• Proven track record owning credit strategy for large-scale lending portfolios (preferably $2B+), with demonstrated impact on growth, loss performance, and profitability
• Deep expertise in underwriting, credit policy design, and end-to-end portfolio risk management across the customer lifecycle
• Strong analytical and technical skills, including hands-on experience with SQL and data-driven decisioning; ability to work closely with data science on models and experimentation
• Demonstrated ability to define risk appetite, translate business goals into actionable credit strategies, and execute through cross-functional teams
• Strong business acumen with experience balancing risk, growth, and customer experience in a dynamic environment
• Excellent communication skills, with the ability to synthesize complex quantitative insights into clear, actionable recommendations for executive stakeholders
• Proven ability to operate with high ownership, navigate ambiguity, and lead large, cross-functional initiatives end-to-end

Preferred Qualifications

• Experience in small business lending, merchant financing, cash flow underwriting or embedded finance ecosystems
• Familiarity with alternative data underwriting (e.g., cash flow, transaction data) and modern fintech credit approaches
• Direct experience developing, deploying, or overseeing credit risk models and decision engines in production environments
• Experience partnering with Capital Markets teams, including exposure to funding strategies, forward flow agreements, or investor reporting
• Strong understanding of regulatory expectations, model governance, and risk controls in a lending environment
• Prior experience in a high-growth or platform-based business, with a track record of scaling risk infrastructure alongside product growth

What You’ll Bring

• Strategic ownership mindset with the ability to operate at both high-level and deep-dive detail
• Strong business judgment and ability to balance growth, risk, and customer impact
• Comfort navigating ambiguity and shaping new products or portfolios from early stages
• Executive-level communication and storytelling with data

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $233,500- 316,000 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/

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Senior Data Scientist

Category Data

Location
Mountain View, California
Job ID 21590

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit’s Global Business Solutions Group (GBSG) builds tools and services that help small and mid-sized businesses manage cash flow and grow. Within this mission, the Capabilities Data Science team partners closely with QuickBooks Capital to deliver data-driven insights, scalable machine learning solutions, and emerging AI capabilities that improve lending experiences and outcomes.

This role sits at the intersection of product data science and AI enablement. You’ll drive business impact through analytics and modeling while also building tools, workflows, and best practices that help data scientists across the organization work more efficiently and effectively.

Responsibilities

Product & Growth Data Science

• Identify and size business opportunities, define success metrics, and deliver actionable insights to drive lending growth
• Build predictive models, design and analyze experiments, and develop customer segmentation strategies
• Analyze internal and partner data to uncover trends and inform product, marketing, and lending decisions
• Partner cross-functionally with Product, Marketing, Engineering, and Design to influence roadmap and execution
• Communicate complex analyses clearly to both technical and non-technical audiences

AI & Automation Enablement

• Develop agents, servers, MCPs, and orchestration frameworks to automate workflows and scale impact across the Data Science organization
• Serve as a go-to expert for onboarding and adoption of AI tools (e.g., Cursor, Figma Make, GenOS, Blobbot), removing friction and enabling productivity
• Create playbooks, establish best practices, and identify high-impact AI use cases aligned with business needs
• Coach team members on applying LLMs to data challenges such as data matching, cleansing, and instrumentation design

ML & Data Governance

• Establish best practices for ML lifecycle management, including batch models and emerging LLM-based systems
• Support the team’s transition from traditional ML approaches to effective use of generative AI
• Advise on data security, governance, and fine-grained access controls
• Promote scalable, reusable analytics and modeling frameworks to improve efficiency across teams

Qualifications

• 4–8 years of experience in data science or analytics, ideally in fintech (lending, credit cards, or marketplaces)
• Strong foundation in experimentation, predictive modeling, and data-driven decision-making
• Experience working with large datasets and building scalable analytics or ML solutions
• Proven ability to influence cross-functional stakeholders and drive business impact
• Strong communication skills and ability to translate complex findings into clear recommendations
• BS or MS in Statistics, Mathematics, Computer Science, Engineering, Econometrics, or a related field

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Manager 3, QuickBooks Capital - Credit Risk

Category Security, Risk & Fraud

Location
Mountain View, California
Job ID 20289

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

As a premier and rapidly expanding provider of small business financing within the United States, QuickBooks Capital operates as a financial technology innovator under Intuit, committed to transforming the landscape of small business lending. Our primary product offerings include term loans and lines of credit, both of which are developed and evolved with a steadfast commitment to customer-centricity. We are building a world-class team of problem-solvers and visionary thinkers who thrive on cross-functional collaboration and high-stakes challenges. The small business lending sector has been experiencing rapid evolution with the emergence of sophisticated alternative data and methodologies. We are seeking a visionary credit leader to lead a multi-billion dollar lending function, an individual who integrates a disciplined risk management foundation with an innovation-first mindset. If you are a professional dedicated to driving sustainable growth and continuous evolution within a highly dynamic, pioneering, and collaborative professional environment, we would like to hear from you.

Responsibilities

The role as QuickBooks Capital credit risk manager will own the responsibilities including:

Portfolio Ownership & Strategy

• Oversee the overall credit risk strategy development for QB Capital Direct Lending products.
• Define risk appetite, portfolio guardrails, and return thresholds aligned with business objectives
• Drive portfolio growth while maintaining disciplined risk management and strong unit economics
• Anticipate macroeconomic and market-driven risks; adapt strategy proactively

Credit Strategy & Decisioning

• Lead the design and evolution of underwriting strategies, segmentation, and pricing frameworks
• Oversee credit policy, approval strategies, and line assignment methodologies
• Guide test-and-learn experimentation to continuously optimize risk vs. growth tradeoffs
• Ensure scalable, automated decisioning aligned with long-term platform goals

Analytics, Modeling & Insights

• Set the vision for portfolio analytics, including vintage performance, lifetime value, and risk-adjusted returns
• Partner with Data Science to prioritize and shape credit models and decision systems
• Translate data into clear, strategic recommendations for executive stakeholders
• Establish KPIs and reporting frameworks that drive accountability and transparency

Cross-Functional Leadership

• Act as the primary risk partner to Product, Capital Markets, Finance, and Operations
• Influence product roadmap decisions to embed risk-aware design and customer segmentation
• Support capital strategy, including investor discussions, forward flow agreements, and funding optimization
• Align stakeholders on tradeoffs between growth, customer experience, and credit risk

Team Leadership & Capability Building

• Lead and mentor a team of credit risk analysts and managers (or build the team as the portfolio scales)
• Establish best practices in credit risk management, experimentation, and governance
• Foster a culture of data-driven decision-making and continuous improvement

Governance & Regulatory Oversight

• Ensure robust risk governance, including policy frameworks, model validation, and audit readiness
• Interface with internal risk, compliance, and legal teams to meet regulatory expectations
• Present portfolio performance, risks, and strategies to senior leadership and risk committees

Qualifications

• Advanced degree (MS/PhD) in a quantitative field such as Statistics, Economics, Operations Research, Engineering, or a related discipline
• 15+ years of experience in credit risk within lending, fintech, or financial services, with significant ownership of portfolio performance
• 8+ years of people leadership experience, including building, managing, and developing high-performing teams of risk analysts and/or data scientists
• Proven track record owning credit strategy for large-scale lending portfolios (preferably $2B+), with demonstrated impact on growth, loss performance, and profitability
• Deep expertise in underwriting, credit policy design, and end-to-end portfolio risk management across the customer lifecycle
• Strong analytical and technical skills, including hands-on experience with SQL and data-driven decisioning; ability to work closely with data science on models and experimentation
• Demonstrated ability to define risk appetite, translate business goals into actionable credit strategies, and execute through cross-functional teams
• Strong business acumen with experience balancing risk, growth, and customer experience in a dynamic environment
• Excellent communication skills, with the ability to synthesize complex quantitative insights into clear, actionable recommendations for executive stakeholders
• Proven ability to operate with high ownership, navigate ambiguity, and lead large, cross-functional initiatives end-to-end

Preferred Qualifications

• Experience in small business lending, merchant financing, cash flow underwriting or embedded finance ecosystems
• Familiarity with alternative data underwriting (e.g., cash flow, transaction data) and modern fintech credit approaches
• Direct experience developing, deploying, or overseeing credit risk models and decision engines in production environments
• Experience partnering with Capital Markets teams, including exposure to funding strategies, forward flow agreements, or investor reporting
• Strong understanding of regulatory expectations, model governance, and risk controls in a lending environment
• Prior experience in a high-growth or platform-based business, with a track record of scaling risk infrastructure alongside product growth

What You’ll Bring

• Strategic ownership mindset with the ability to operate at both high-level and deep-dive detail
• Strong business judgment and ability to balance growth, risk, and customer impact
• Comfort navigating ambiguity and shaping new products or portfolios from early stages
• Executive-level communication and storytelling with data

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $233,500- 316,000 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/

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Principal Data Scientist

Category Data

Location
Mountain View, California
Job ID 21606

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Intuit Finance Data Science & Strategy team as a Principal Data Scientist! In this role, you will help drive data-backed strategic initiatives across the Intuit portfolio, primarily focused on opportunities within our Consumer Group. We are looking for creative problem solvers with a passion for delivering data-driven insights. You will partner closely with finance strategy, FP&A, data engineering, and various business partners to directly impact our business results and accelerate Intuit’s growth.

Responsibilities

• Leveraging predictive modeling, advanced analytics and causal inference methods to identify new opportunities to grow the business exploring unit economics, market dynamics, product migration, cross-selling, product growth levers, price/spend optimization, etc.
• Perform end-to-end analytics using advanced SQL, ML and AI to extract business insights that drive tangible value for our customers and result in business growth.
• Leverage data visualization and dashboarding tools such as Tableau to help uncover key business insights and improve team automation and self-service analytics.
• Disseminate business insights to cross-functional stakeholders and influence decision-making.
• Keep up with evolving trends and advancements in data analytics to drive innovation and continuously improve business processes.

Qualifications

• 12+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact.
• Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash). Qlik certification is a big plus
• Passion for uncovering strategic opportunities and and a strong business acumen and the ability to translate business strategy into testable hypotheses and insights
• High-level understanding of advanced statistical modeling and ML methodologies such as causal inference techniques with a strategic understanding of their application
• Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations.
• Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership
• Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.
• Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed
• Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred. Or equivalent work experience.

Preferred Additional Experience:

• Working knowledge of Consumer Finance platforms’ (e.g., TurboTax) data and business model.
• Understanding of forecasting processes, financial reporting, time value of money, and other financial concepts.
• Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $247,500 - $335,000.

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Senior Data Engineer- Credit Karma

Category Software Engineering

Location
Oakland, California
Job ID 21619

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are looking for a Senior Data Engineer to build scalable data and software solutions that power a wide range of use cases across Intuit Credit Karma.

In this role, you will work cross-functionally with Product Management, Data Architects, Data Scientists, Product Analysts, Software Engineers, and other Data Engineers to translate business and product needs into robust, production-grade systems. You will design and develop data warehouses, data models, pipelines, and reusable frameworks, while also contributing to the broader infrastructure and services that enable reliable and efficient data processing and experiment execution at scale.

This is an end-to-end engineering role with a strong emphasis on software engineering fundamentals. Beyond building data pipelines and datasets, you will be expected to apply solid engineering practices to develop scalable, maintainable systems, and contribute to shared platforms.

This role is ideal for engineers who are passionate about building reliable systems with data at the core, and who are interested in growing across both data engineering and software/platform engineering domains.

Responsibilities

• Build End-to-End Data & Software Systems
• Design and develop scalable, production-grade systems across the data lifecycle, including data ingestion, processing, modeling, and serving
• Build and maintain robust data pipelines (batch and streaming) using modern data technologies
• Apply strong software engineering principles to ensure systems are reliable, testable, and maintainable
• Develop Data Products, Models & Frameworks
• Build well-structured, reusable datasets and data models that power analytics, applications, and downstream systems
• Develop and enhance frameworks that enable scalable data processing and reduce duplication across teams
• Contribute to standardizing metrics, data definitions, and modeling patterns
• Contribute to Platform & Service Development
• Contribute to both data and service-layer components of the data and experimentation platform
• Collaborate with engineers to improve platform capabilities, scalability, and developer experience
• Support systems that enable reliable experiment execution, metric computation, and analysis at scale
• Drive Data Quality & Operational Excellence
• Implement monitoring, alerting, and validation to ensure high data quality and system reliability
• Troubleshoot complex data and system issues, performing root cause analysis and driving resolution
• Continuously improve system performance, scalability, and cost efficiency
• Collaborate Cross-Functionally
• Partner with Product Management, Data Architects, Data Scientists, Product Analysts, and Software Engineers to define and deliver data solutions
• Translate ambiguous requirements into scalable technical designs and drive execution end-to-end

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience in software engineering, data engineering, or a related role
• Strong programming skills in at least one language (e.g., Python, Java, Scala), with solid software engineering fundamentals
• Expertise in SQL and strong understanding of data modeling and data warehousing concepts
• Demonstrated success building and maintaining large-scale data pipelines using technologies such as Google Dataflow, BigQuery, Airflow/Composer, Spark, or Flink
• Experience designing and building scalable data pipelines and distributed systems
• Deep understanding of software development lifecycle best practices, including agile methodologies
• Excellent communication, collaboration, and stakeholder management skills

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Okland - $161,000 - 218,000

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Senior AI Scientist- Credit Karma

Category Data

Location
Oakland, California
Job ID 21620

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Credit Karma is looking for a Senior AI Scientist to lead the evolution of our financial recommendation engines. In this role, you will be the technical architect behind how we understand, predict, and act on member intent. You will move beyond simple click-prediction to build a holistic map of the member’s financial journey, ensuring that every recommendation—from credit cards to home loans—is perfectly timed and deeply personalized. As such, this role is highly cross-functional and requires tight partnerships with a wide range of functions - including engineering, product, marketing, finance and analytics.

We are seeking a Senior AI Scientist to drive innovation in the development and application of data science techniques that power the most relevant financial products including and actionable recommendations at Intuit Credit Karma. This role is ideal for someone who combines strong machine learning skills with business acumen and cross-functional collaboration.

Responsibilities

• Lead the development of large-scale models that predict not just what a member needs, but when they need it across multiple financial verticals
• Build recommendation logic that balances immediate revenue with long-term member trust and lifetime value
• Collaborate closely with partner teams to define metrics that quantify various aspects of our business, including but not limited to revenue, engagement, user experience, etc.
• Represent Data Science in cross functional meetings and reviews. Be able to translate difficult technical subject matter to business partners

What’s great about the role:

• You will solve challenges ranging from Deep Learning and Reinforcement Learning to recommendation and GenAI for Personal Finance Products
• You will be part of a highly impactful team, who are working on large scale projects that directly impact the business and members
• We value scientists who act like owners—identifying problems, proposing solutions, and seeing them through to production
• Experience with driving monetization, member engagement, longer term member value through AI
• Experience working on large scale AI systems with applications across machine learning and generative AI, AI infrastructure, data foundation, and self-serve analytics through DS methods
• Experience in an "Ads" or "Marketplace" environment where you manage trade-offs between different product categories.
• Ability to balance fast paced environments at a large scale company

Qualifications

• MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline
• 5+ years of experience building and deploying machine learning models in a production environment (ideally in consumer tech, fintech, or e-commerce)
• Expert proficiency in Python and SQL, with deep experience in modern ML/DL frameworks
• Experience with ranking, retrieval, and multi-stage recommendation architectures
• Proven ability to explain complex AI concepts to non-technical stakeholders and link model performance to business outcomes

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Oakland $180,000 - 243,500

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Machine Learning Engineer II Recommendation Systems- Credit Karma

Category Software Engineering

Location
Oakland, California
Job ID 21561

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Data & AI Platform (DAP) team at Intuit Credit Karma builds and operates the ML infrastructure that powers personalized financial recommendations for over 100 million members. Our platform spans feature engineering, data systems, model training and serving, and ML lifecycle management. We partner closely with data scientists and product engineers to turn research into production-grade AI at scale.

As an MLE II on the DAP team, you will be a hands-on contributor who builds reliable, well-tested data and ML pipelines end-to-end. You will collaborate with data scientists to prepare training datasets, train and evaluate machine learning models, and deploy them into production. This role emphasizes strong execution on well-scoped technical problems and a growing ability to identify and solve ambiguous issues with guidance from senior engineers.

Responsibilities

• Write data ETL code to read, clean, and transform raw feature sets (e.g., visitor session logs) into enriched training-ready datasets.
• Perform feature enrichment through aggregation logic such as computing rolling averages, most-recent values, and merged histories across identity-stitched records.
• Handle data quality issues including null values, sparse features, and identity resolution across multiple visitor IDs (e.g., ivid/super_ivid stitching).
• Integrate enriched features with label sets using point-in-time-correct joins to prevent information leakage in training data.
• Train binary classification models using libraries such as scikit-learn, XGBoost, or TensorFlow on properly assembled training sets.
• Perform feature engineering for model input (encoding categorical variables, handling missing data, scaling numerical features).
• Evaluate model performance using appropriate metrics (AUC, precision, recall, F1) and communicate results clearly.
• Iterate on model quality through hyperparameter tuning and feature selection.
• Build scalable data pipelines in a big data environment using tools such as BigQuery, Apache Beam/Dataflow, Spark, Flink and Airflow.
• Implement models into production serving infrastructure and support model refresh workflows.
• Monitor production model performance and data quality; triage and resolve issues.
• Collaborate with data scientists to translate experimental notebooks into maintainable, production-grade code.
• Partner with data scientists, platform engineers, and product teams to deliver ML-powered features.
• Participate in code reviews, design discussions, and on-call rotations.
• Proactively learn the team’s domain (feature platforms, ML lifecycle, recommendation systems) and contribute to documentation.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 3+ years of professional experience in software engineering, data engineering, or machine learning engineering.
• Strong proficiency in Python; experience with data libraries (pandas, NumPy, scikit-learn).
• Solid understanding of data structures, algorithms, and writing clean, testable code.
• Experience with SQL and working with large-scale datasets.
• Familiarity with the end-to-end ML workflow: data preparation, feature engineering, model training, evaluation, and deployment.
• Ability to write bug-free, executable code for data ETL and model training tasks within a structured timeframe.

• Clear communication skills; able to articulate a technical plan before coding and explain decisions.

• Preferred Qualifications

• Experience with big data tools such as Apache Spark, BigQuery, or Dataflow.

• Familiarity with ML frameworks beyond scikit-learn (e.g., TensorFlow, Keras, XGBoost, PyTorch).
• Experience with workflow orchestration tools (Airflow, Kubeflow, TFX).
• Exposure to feature stores, feature platforms, or streaming feature computation (e.g., Chronon, Feast).
• Experience with GCP services (AI Platform, Dataproc, Composer, BigTable).
• Understanding of model serving patterns (batch scoring, real-time inference, A/B testing).

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $140,500-$190,000

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Software Engineer II, Intuit Credit Karma

Category Software Engineering

Location
Charlotte, North Carolina
Job ID 21592

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit Credit Karma’s Online RecSys team is looking for a Software Engineer. The team is focused on delivering personalized financial recommendations that empower members to make informed financial decisions. Our team develops state-of-the-art recommendation platform, including (but not limited to) deep learning based retrieval and ranking systems for personalized recommendations. You'll work on building and optimizing the backend services that powers these recommendations, collaborating closely with other software engineers, data scientists, and data engineers. This is a role where you can make an impact on how millions of people manage their financial lives.

Responsibilities

• Direct impact on the financial well-being of millions of users by working on a high-scale, always-on recommendation system that is central to Credit Karma’s mission: helping people reach their financial goals
• You'll have lots of opportunity to break new ground, discover and tackle brand new challenges, and make key decisions impacting a large engineering organization
• And, of course, you get all those awesome company perks that you probably already read about

Qualifications

• Proficient in Scala or Java with solid foundation in object-oriented programming, design patterns, algorithms, and system architecture
• Strong problem-solving skills with the ability to work through complex ambiguous challenges and collaborate effectively within a team
• Strong understanding of deployment strategies and production infrastructure needs
• You bring a strong sense of empathy, while still being able to challenge the status quo
• MS/PhD in Computer Science, ML , Information Sciences or related fields is a plus
• Experience with using cloud services and designing distributed systems is a plus

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Charlotte, NC $116,500 - $157,500.

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Software Engineer II, Intuit Credit Karma

Category Software Engineering

Location
Charlotte, North Carolina
Job ID 21591

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit Credit Karma’s Online RecSys team is looking for a Software Engineer. The team is focused on delivering personalized financial recommendations that empower members to make informed financial decisions. Our team develops state-of-the-art recommendation platform, including (but not limited to) deep learning based retrieval and ranking systems for personalized recommendations. You'll work on building and optimizing the backend services that powers these recommendations, collaborating closely with other software engineers, data scientists, and data engineers. This is a role where you can make an impact on how millions of people manage their financial lives.

Responsibilities

• Direct impact on the financial well-being of millions of users by working on a high-scale, always-on recommendation system that is central to Credit Karma’s mission: helping people reach their financial goals
• You'll have lots of opportunity to break new ground, discover and tackle brand new challenges, and make key decisions impacting a large engineering organization
• And, of course, you get all those awesome company perks that you probably already read about

Qualifications

• Proficient in Scala or Java with solid foundation in object-oriented programming, design patterns, algorithms, and system architecture
• Strong problem-solving skills with the ability to work through complex ambiguous challenges and collaborate effectively within a team
• Strong understanding of deployment strategies and production infrastructure needs
• You bring a strong sense of empathy, while still being able to challenge the status quo
• MS/PhD in Computer Science, ML , Information Sciences or related fields is a plus
• Experience with using cloud services and designing distributed systems is a plus

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Charlotte, NC $116,500 - $157,500.

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Staff Machine Learning Engineer

Category Software Engineering

Location
Mountain View, California
Job ID 21419

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit's AI Research team develops novel AI/ML solutions that power intelligent experiences across Intuit's ecosystem of products. The team conducts foundational and applied research across areas including natural language processing, large language models, recommendation systems, causal inference, and more, partnering with product and platform teams to translate research breakthroughs into customer value.

We are looking for a Staff Machine Learning Engineer to serve as the engineering backbone of this research team. In this role, you will design, build, and maintain large-scale data and training pipelines as well as experimentation infrastructure, and bring software engineering rigor to the full research lifecycle. You will work alongside AI Research Scientists and AI Scientists, enabling their work through robust engineering, and serving as the team's primary engineering interface when transitioning research innovations into product. This includes leading handoff conversations with product and platform teams, negotiating ownership boundaries, and guiding adoption of the team's innovations.

Responsibilities

• Design, build, and maintain large-scale data acquisition and processing pipelines that power the team's research experiments
• Architect and operate enterprise-scale experimentation infrastructure including experiment tracking, logging, reproducibility tooling, and compute orchestration
• Serve as the team's engineering interface to product and platform organizations: lead handoff and integration conversations, establish clear boundaries of ownership, and guide product teams through adoption of research innovations
• Establish and enforce engineering best practices across the team: git workflows, code review, CI/CD for research code, Jira-based project tracking, and scrums
• Create reusable libraries, tools, and components that accelerate the research development lifecycle and leverage Intuit's technology stack
• Conduct and support experiments to evaluate ML models and algorithms, iterating quickly in close partnership with research scientists
• Mentor team members on engineering best practices and hold the team accountable for code quality, documentation, and architectural soundness
• Take research software through the open sourcing process

Qualifications

• Strong CS fundamentals: data structures and algorithms, distributed systems, system design
• Expert-level software engineering: Git, high-quality production-grade code, containerization, cloud infrastructure
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
• Proficiency in AI assisted coding environments
• Deep understanding of the ML development lifecycle, with expertise in data processing, experimentation, and infrastructure
• Experience designing and operating large-scale data pipelines (Spark, Kafka, or equivalent)
• Strong understanding of modern ML techniques: deep learning, NLP, optimization
• Demonstrated technical leadership at the Staff level; 8+ years of relevant industry experience
• Master's degree in CS, EE, or related field (or equivalent experience)
• Strong communication and interpersonal skills; ability to work effectively in a dynamic, research-oriented team

Preferred:

• Past experience working in or closely supporting a research organization
• PhD in a relevant field

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area, California: $197,000 - $266,500

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Group Manager, Core Finance Systems - Plan to Perform (FP&A)

Category Information Technology

Location
Mountain View, California; San Diego, California
Job ID 21436

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Overview

Intuit’s mission is powering prosperity around the world. We do this by attracting the world’s top talent, delivering innovative solutions for consumers, small businesses, self-employed professionals, and accounting experts. Every day we innovate with our flagship products: TurboTax, QuickBooks, Mailchimp, and Credit Karma. For over 100 million customers, we deliver more money, more time, and more confidence.

The Role

This role sits at the intersection of finance, process transformation, and technology. It is broader than EPM platform management alone and is accountable for helping define and deliver the roadmap for Plan to Perform capabilities across Finance. The Group Manager will lead a team of transformation professionals supporting process redesign, business analysis, solution design, and program execution, while partnering closely with Finance, Data, and Technology stakeholders.

This leader will serve as the primary technology and transformation partner for the FP&A value stream, helping modernize planning, forecasting, reporting, and analytics processes; drive cross-functional alignment; and identify opportunities to leverage automation and AI to accelerate finance outcomes. The role should remain grounded in systems and solution delivery, but with equal emphasis on business process transformation and portfolio leadership.

Responsibilities

Responsibilities

• Lead transformation across the Plan to Perform value stream, managing a team of business systems and transformation professionals and serving as the primary technology partner for FP&A.
• Define and drive the roadmap for FP&A transformation, including process modernization, capability evolution, and systems enablement across planning, forecasting, reporting, and analytics.
• Partner across Finance, Technology, and Data teams to translate business priorities into scalable solutions, aligning requirements, sequencing, and delivery plans across a complex stakeholder environment.
• Oversee business analysis, process design, and solution execution, ensuring initiatives deliver measurable improvements in efficiency, standardization, and decision support.
• Identify opportunities to leverage AI, automation, and modern finance technologies to streamline processes, improve insights, and accelerate finance transformation outcomes.

Qualifications

Candidate Profile

The ideal candidate is a strong people leader and transformation manager with experience spanning finance processes, business systems, and cross-functional program delivery. They understand FP&A deeply enough to engage credibly with finance stakeholders, while also bringing the structured thinking and technical fluency needed to guide solution design and systems-enabled change.

They are comfortable leading a team, navigating ambiguity, and influencing across a complex stakeholder environment. They can balance strategic roadmap thinking with practical execution, and they bring a modernization mindset that includes process simplification, connected planning, and thoughtful application of AI and emerging technologies.

Qualifications

• 8+ years of experience in finance systems, transformation, business systems, or program leadership roles, including meaningful support of FP&A / enterprise planning functions.
• 3+ years of people leadership experience, with a track record of leading teams and cross-functional initiatives in matrixed environments.
• Strong understanding of FP&A processes and experience translating business needs into process improvements, system capabilities, and delivery roadmaps.
• Experience with EPM and related finance technologies, with the judgment to position technology as an enabler of broader business transformation; familiarity with AI or automation use cases is a plus.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California: $215,000 - $291,000

Southern California Area: $190,000 - $257,000

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Senior Staff Product Manager – Legal Technology

Category Product Management

Location
Mountain View, California; San Diego, California
Job ID 20176

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Overview

Intuit’s mission is to Power Prosperity Around the World. We do this by bringing products to market that deliver benefits to customers in ways they cannot find anywhere else, with some of the most recognizable brands in the world, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serving 100 million customers globally.

The Intuit FLP (Finance, Legal, and Privacy Tech) team is responsible for building Intuit’s core capabilities surrounding enterprise finance, legal, and privacy applications. Our team owns a series of capabilities that include core finance systems and critical Legal and Privacy workflows. Our stakeholders include Intuit’s finance team, the Legal, Compliance, and Policy Organization (LCPO), segment business unit leaders, and all Intuit employees.

The FLP tech team ensures we are delivering enterprise capabilities needed to support Intuit’s scale and growth while providing a best-in-class employee experience. As Intuit embarks on a platform journey to ensure a seamless customer experience, we are consolidating and standardizing all backend processes onto common capabilities and evaluating vendor capabilities through a rigorous Build vs. Buy strategy.

The Role

We are seeking a Senior Staff Product Manager for Legal Tech to define the vision and strategy for a domain that has been historically underinvested. This is a foundational role where you will work closely with Intuit’s Legal business teams to transform their digital landscape. You will be the architect of a multi-year roadmap that balances immediate automation (Unified Front Door) with transformational AI-powered innovation.

Responsibilities

• Vision & Strategy: Define, evangelize, and execute the product vision and 6-quarter roadmap for Legal Technology. Lead the strategy for the Legal tech stack, including lifecycle management and rationalization.
• Unified Orchestration: Own the roadmap for the "Unified Front Door" (leveraging process orchestrator solutions), centralizing intake from Slack, Email, and Jira into a seamless workspace to reduce manual toil and improve throughput.
• Build vs. Buy Governance: Evaluate emerging Legal AI vendors against Intuit’s internal "paved roads." Determine when to leverage niche SaaS solutions and when to build scalable internal capabilities.
• Operational Excellence: Drive the integration and interoperability of the legal tech stack (e.g., Legal Tracker, Ironclad, ServiceNow, Jira) to ensure data flows seamlessly across the ecosystem.
• Prototyping & AI Innovation: Build prototypes and run pilots for new tools—particularly Generative AI and Knowledge Management Systems —to eliminate repetitive tasks and institutionalize legal expertise.
• Stakeholder Partnership: Act as the primary partner to Legal Practice Groups (Privacy, Corporate Affairs, Litigations, Regulatory, Compliance & Risk, etc.) to gather requirements, conduct user research, and translate insights into high-quality E2E product experiences.
• Data Stewardship: Partner with data engineering to define the legal data strategy, enabling real-time risk metrics, resource planning, and automated compliance reporting.

Qualifications

• 10-12+ years of Product Management experience, with a proven track record of leading complex, enterprise-scale digital transformations.
• Education: BS degree in Computer Science, Business, or equivalent work experience is preferred. A background in Legal Operations is a significant plus.
• Deep Legal Tech Expertise: Familiarity with legal tech stack:
• Orchestration/Low-Code: Tonkean, ServiceNow, etc.
• Legal-Specific Tools: Legal Tracker, Ironclad, Exterro.
• Data & Analytics: Data Lake (AWS, GCP) and BI solutions (Databricks, Qlik).
• Emerging AI tools in Legal space: E.g. Harvey, Hebbia, Eudia, etc.
• Deep Legal Domain Expertise: Familiarity with legal workflows such as Contract Lifecycle Management (CLM), eDiscovery, Matter Management, Intellectual Property (patents/disclosures), and Marketing Compliance.
• Senior Staff Level Craft:
• Strategic Influence: Ability to lead cross-functional groups and influence adjacent roadmaps (e.g., IT, Procurement, Privacy) to deliver ecosystem-wide impact.
• Technical Acumen: Strong understanding of API strategies, low-code orchestration, and AI/ML workflows (Human-in-the-Loop).
• Analytical Thinking: Skilled at using data to identify bottlenecks (like manual tracking) and proposing scalable, automated solutions.
• Soft Skills & Leadership:
• Master Storyteller: Ability to communicate complex ideas and technical innovations to senior executives via compelling narratives.
• Ambiguity Navigator: Thrives in a "blank slate" environment; self-motivated to change how the Legal organization operates through technology.
• Facilitative Leadership: Recognized as a great partner who can bridge the gap between technical teams and non-technical business stakeholders.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:

Bay Area, CA: $205,500-$278,000

San Diego, CA: $189,500 - $256,000

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Staff Product Manager: Partner Platform

Category Product Management

Location
Mountain View, California; San Diego, California
Job ID 20329

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Virtual Expert Platform as a Staff Product Manager, where you will own and deliver key platform capabilities that enable partner workflows and integrations across Intuit’s ecosystem.

As part of the Intuit Partner Platform team, you will be responsible for driving product development for specific platform capabilities, contributing to scalable solutions that support partner onboarding, engagement, and operations. You will work closely with engineering, design, and cross-functional teams to deliver high-quality experiences aligned to broader platform strategy.

We are looking for a product manager with strong execution skills, technical curiosity, and a customer-focused mindset. You will operate at the intersection of customer needs and technology, helping translate problems into well-defined solutions and delivering impactful results.

The ideal candidate has experience working on technical or platform-related products, collaborating closely with engineering teams, and delivering features that are reliable, scalable, and valuable to customers.

Responsibilities

• Own roadmap and delivery for a specific platform capability or feature area
• Define problem statements, requirements, and success metrics
• Deliver high-quality, end-to-end platform capabilities aligned to product goals
• Translate customer and partner needs into clear product requirements and use cases
• Work closely with engineering to design, build, and launch features and services
• Contribute to defining APIs, workflows, and data requirements for your area
• Ensure solutions integrate effectively into the broader platform ecosystem
• Participate in discussions on technical tradeoffs and implementation decisions
• Use data to inform prioritization and measure product performance
• Apply AI tools to improve product development and user experiences
• Collaborate with cross-functional teams (design, engineering, operations, GTM)
• Support integration efforts with internal teams and external partners
• Continuously iterate on features based on feedback, data, and changing needs
• Contribute to improving team processes and delivery efficiency

Qualifications

• 5+ years in product management, designing and delivering world-class products.
• Experience with building and leading high performing teams.
• Has a 'can do' attitude with an entrepreneurial mindset and comfortable working in a fast-paced, ambiguous environment.
• Demonstrable technical depth in software development - i.e., reading code, architecture and design discussions with strong engagement with engineering and architecture teams. AI/ML expertise/experience a plus.
• Track record of working closely with customers, partners, listening and taking a customer-focused approach to strategy and priorities - passion for the customer.
• Demonstrated success in taking a data driven approach and delivering impactful business results.
• Proven experience in defining big visions and inspiring teams to deliver new innovations and impactful products.
• Excellent collaboration skills - leading execution across teams, influencing across organizations.
• Undergraduate degree required; focus in computer science or engineering preferred; MBA is a plus; equivalent experience will be considered.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 155,500 - 210,500
Southern California $ 146,500-198,500

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Manager 2, Fraud and Risk

Category Security, Risk & Fraud

Location
New York, New York
Job ID 19173

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit's Consumer Group, including TurboTax, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. We leverage data and insights to innovate and enhance our consumer offerings.

Now, we are expanding our focus to Consumer Lending within the Consumer Group, including TurboTax, and require a strategic leader to manage and develop a team of Fraud Risk Analysts. This role will be crucial in supporting our consumer lending initiatives, while navigating the complexities of Fintech Risk, alongside our core tax preparation business. If you are passionate about building and leading a high-performing team that drives results through data-driven insights in consumer lending spaces, and understands the unique risks within Fintech, this role is for you.

Responsibilities

• Lead and manage a team of Fraud Risk Analysts focused on launching and scaling consumer lending products.
• Develop and implement fraud risk strategies and policies and drive business growth by supporting and scaling strategies for consumer lending portfolio
• Develop & enhance the fraud Policy and program and establish a framework to ensure lending activities are in compliance with internal policies and regulatory requirements
• Partner with teams across Intuit (including product development, marketing, data engineering, compliance, risk , data scientists etc.) to enable decision support and key customer insights in the consumer lending risk and analytics spaces.
• Make decisions that impact cross-functional priorities, strategy, and outcomes related to consumer lending.
• Collaborate with stakeholders and analysts to ensure analytical & risk solutions are scalable, repeatable, effective, and meet expectations of various stakeholders in the consumer lending area.
• Use big data technology and AI tools to mine massive scale transactional data to improve fraud risk mitigation strategies for consumer lending and design new risk-adjusted policy proposals.
• Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist, specifically in the consumer lending context.
• Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers
• Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new consumer lending initiatives and product releases.
• Mentor, coach, and develop Fraud Risk Analysts to drive creative ideas, use of the latest data techniques, and elevate outcomes within consumer lending.
• Identify and evaluate new vendors / data sources and create business cases

Qualifications

• Proven leader in the data and risk space with 10+ or more years of experience leading conversations across teams to drive for business requirements clarity, build, and launch, with a strong emphasis on consumer lending.
• 5+ years of experience managing and developing a team of analysts.
• Ability to manage multiple projects simultaneously to meet objectives and key deadlines in the consumer lending domain.
• Expert in one of the following analytics tools, such as Python, R, SAS, and any environment under SQL.
• Outstanding communications skills with both technical and non-technical colleagues, including telling compelling stories with data, especially in consumer lending.
• Strong strategic mindset, but also willing to roll up your sleeves and get into the details, coaching team members where needed, particularly in the consumer lending context.
• Experience working with BI tools such as Tableau , quicksight, databricks.
• Proven history as a self-starter who seeks the problem, doesn't wait for the problem to find them with excellent problem-solving skills and end-to-end quantitative thinking in consumer lending.
• Demonstrates highly effective cross-functional leadership and experience working in a large matrixed organization, aligning cross-functional stakeholders, gathering business requirements, and launching product features in a fast paced environment , with a focus on consumer lending.
• Analytically minded with experience working on large-scale data projects; product management experience would be a plus, especially within consumer lending.
• Strong organization, time management, and task prioritization skills.
• Domain experience in FinTech, Risk, Financial services, with specific expertise in Consumer Lending, is highly advantageous.
• Undergraduate degree required (Economics, Natural Sciences, Statistics, Engineering, etc.); advanced degree preferred. Equivalent work experience will be considered.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
New York City: $182,000 - $246,000
References
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1. https://www.intuit.com/careers/benefits/full-time-employees/
New York $182000 - $246000

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Principal Product Manager: Partner Platform

Category Product Management

Location
Mountain View, California; San Diego, California
Job ID 20327

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Virtual Expert Platform as a Principal Product Manager, where you will define and drive AI-first platform innovation at scale to transform how consumers, small businesses, and accountants connect with experts, sellers, and partners across Intuit’s ecosystem.

As a leader on the Intuit Partner Platform team, you will set the multi-year vision and strategy for core platform capabilities that power partner acquisition, onboarding, enablement, engagement, and monetization. You will play a critical role in shaping a scalable, extensible partner ecosystem that drives customer benefit, accelerates growth, and creates durable competitive differentiation for Intuit.

We are looking for a product leader with deep experience building platform and ecosystem products, strong technical fluency, and a track record of delivering business impact at scale. You will operate at the intersection of business strategy, customer and partner needs, and technology, defining the capabilities required to enable seamless partner integration and high-quality end-to-end experiences. You will partner closely with engineering and architecture leaders to influence technical direction and ensure platform investments result in durable, reusable, and extensible solutions.

The ideal candidate brings experience building AI-driven platform solutions and deep expertise in Partner Relationship Management (PRM) across channel sales, enablement, and support technologies, with a strong point of view on how partner ecosystems can be leveraged as a strategic growth driver.

Responsibilities

• Define and drive the 3-year vision and strategy for the Partner Platform and ecosystem
• Identify and prioritize core platform capabilities required to scale partner experiences across Intuit
• Establish customer benefit metrics and business outcomes tied to ecosystem growth and platform adoption
• Own portfolio-level roadmap across multiple platform domains and capabilities
• Lead complex, cross-functional initiatives spanning multiple teams, systems, and business units
• Partner with engineering and architecture to shape technical direction and key tradeoffs
• Ensure platform capabilities are durable, reusable, and extensible across products and partners
• Drive AI-first product strategy, identifying opportunities for automation, intelligence, and personalization
• Influence executive stakeholders on strategy, investments, and prioritization
• Align platform strategy with adjacent product roadmaps to deliver cohesive end-to-end experiences
• Balance short-term delivery with long-term platform scalability and investment decisions
• Establish and evolve operating models, governance, and cross-org collaboration frameworks
• Mentor and elevate product managers in platform thinking and strategic execution
• Represent Intuit in partner ecosystem strategy and industry best practices

Qualifications

• 10+ years in product management, designing and delivering world-class products in a Product Management leadership role.
• Experience with building and leading high performing teams.
• Has a 'can do' attitude with an entrepreneurial mindset and is comfortable working in a fast-paced, ambiguous environment.
• Demonstrable technical depth in software development - i.e., reading code, architecture and design discussions with strong engagement with engineering and architecture teams. AI/ML expertise/experience a plus.
• Track record of working closely with customers, partners, listening and taking a customer-focused approach to strategy and priorities - passion for the customer
• Demonstrated success in taking a data driven approach and delivering impactful business results.
• Proven experience in defining big visions and inspiring teams to deliver new innovations and impactful products.
• Excellent collaboration skills - leading execution across teams, influencing across organizations.
• Undergraduate degree required; focus in computer science or engineering preferrable; MBA is a plus; equivalent experience will be considered

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 236,000.00- 319,000.00

Southern California $ 213,500.00 - 288,500.00

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Senior AI Scientist

Category Data

Location
Mountain View, California
Job ID 21584

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is looking for an innovative and hands-on Staff AI Scientist to join the QuickBooks

Online Payroll team.

This team embeds artificial intelligence and machine learning into our product portfolio

and business to create smarter products, improve anti-fraud and security and enhance

customer care. Come join our collaborative and creative group of AI scientists and

machine learning engineers and build models that directly affect millions of our

customers. In this role you will be building and deploying machine learning models

using both analytical algorithms and deep learning approaches.

Responsibilities

• Perform hands-on data analysis and modeling with huge data sets

Apply data mining, NLP, and machine learning (both supervised and

unsupervised) to improve relevance and personalization algorithms.

• Work side-by-side with product managers, software engineers, and designers in

designing experiments and minimum viable products.

• Discover data sources, get access to them, import them, clean them up, and

make them “model-ready”. You need to be willing and able to do your own ETL.

• Create and refine features from the underlying data. You’ll enjoy developing just

enough subject matter expertise to have an intuition about what features might

make your model perform better, and then you’ll lather, rinse and repeat.

• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions

on the impact of your optimizations and communicate results to peers and

leaders.

• Explore new design or technology shifts in order to determine how they might

connect with the customer benefits we wish to deliver.

Qualifications

• BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics,

Applied Math, Operations Research, etc.)

• 3+ years of experience with scaling AI systems operationally.
• 3+ years of industry experience with AI science.
• 5+ years of experience in modern advanced analytical tools and programming

languages such as R or Python with Scikit-learn.

• Efficient in SQL, Hive, or SparkSQL, etc.
• Comfortable in Linux environment.
• 3+ years of experience in data mining algorithms and statistical modeling

techniques such as clustering, classification, regression, decision trees, neural

nets, support vector machines, anomaly detection, recommender systems,

sequential pattern discovery, and text mining.

• Understand machine learning principles (training, validation, etc.)
• Computer science fundamentals: data structures, algorithms, performance

complexity, and implications of computer architecture on software performance

(e.g., I/O and memory tuning).

• Solid communication skills: Demonstrated ability to explain complex technical

issues to both technical and non-technical audiences.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Senior Staff Data Scientist

Category Data

Location
Mountain View, California; San Diego, California
Job ID 17034

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit’s Services Group is dedicated to creating tools and services that dramatically increases the ability of small-medium businesses (SMBs) to manage cash flow. At the center of this mission, the QuickBooks Payments team is developing innovative tools to help customers get paid faster and with confidence. Our expanding suite of offerings and new go-to-market strategies aim to further enhance SMBs' ability to accept payments seamlessly.

The Payments Data Science team on the GBSG Data & Analytics organization’s mission is to deliver delightful customer experiences and drive business impact by developing insights, models, and strategic thought partnership that helps small and mid-market business customers on managing their money. We partner with Product Management, Commercial, Finance, Business Operations, Design and Engineering teams to foster data-driven decisions through strategic thinking, data analysis, experimentation, and predictive analytics.

As the Senior Staff Data Scientist working on an accelerating customer growth and breakthrough adoption of Payments offerings within the company, you will dive deep into our data to uncover actionable insights and make recommendations that will fuel growth. The ideal candidate will have a strong background in quantitative analysis using large data sets, demonstrated growth hacking experience on mature and high growth products, and in driving influence and alignment with data.

Responsibilities

As a Senior Staff Data Scientist on the Product Data Science team, you will dive deep into our data to uncover actionable insights and shape strategic decisions. Your contributions will directly impact our product development and go-to-market strategies of a brand new product and strategic bet. This role requires a strong background in quantitative analysis, data-driven decision-making, and expertise in working with large data sets.

• Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics and make actionable recommendations
• Accelerate performance diagnosis with specificity on drivers across internal and external trends and ideate actions to change performance trajectory
• Drive strategic insights that shape the future of Money-movement ecosystem products within Intuit, impacting millions of small businesses
• Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation
• Build and apply durable customer segmentation patterns to renew product targeting, positioning, and customer experience
• Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders

Qualifications

The ideal candidate is a curious, proactive data scientist with experience in building scalable solutions, a strong understanding of customer behavior, and a passion for fintech.

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related eld
• 10+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
• Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit
• Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred.
• Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
• Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
• Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models etc.

Technical Skills:

• Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash
• Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
• Familiarity with Linux/OS X command line, version control software (git), and general software development

Preferred Additional Qualications

• Experience solving growth-related problems at financial technology companies serving consumer or SMBs
• Learning mindset to add Generative AI and other evolving technologies to accelerate insights from multi-modal data

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 204,500.00- 276,500.00
Southern California $ 197,500.00 - 267,500.00

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Staff Executive Technical Support Analyst

Category Information Technology

Location
Mountain View, California
Job ID 16102

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Are you looking to join a fast paced, dynamic team where you can put your interpersonal skills to use while solving technical problems for our senior leadership team?  Intuit is looking for a dynamic and customer-focused Executive Technical Support Staff Analyst 4 for C-Suite Executive Support in their Mountain View headquarters.  If you love working in a culture of lean experimentation and rapid iteration, we've got a challenge for you!

The role of the StaffExecutive Technical Support Analyst is to assist our most senior level C-Suite Executives and their Executive Administrative Business Partners (EABPs) with all facets of the corporate computing environment. The analyst must combine an understanding of the latest Mac & Windows technology with firsthand experience. In addition, this Analyst will be looked upon as the ‘go to’ lead technical resource for all IT related support requests, e.g. Outlook Exchange mail/calendar, Gmail, mobile devices, desk phones, collaboration and communication services. Excellent communication and interpersonal skills combined with superior technical skills are essential to providing a “high touch” level of support to the senior executives.

Responsibilities

• Serve as primary support analyst for the C-Suite Executive Team and their Assistants who require complex desktop, remote, video conference and event support.
• Ability to analyze and troubleshoot complex software, hardware and connectivity issues as well as recommend and implement corrective solutions.
• Work on complex and highly confidential/sensitive assignments that will include drawing in of specialized expertise whenever necessary, normally receiving no instructions on routine work or general instructions on new assignments.
• Key participant in global projects requiring detail oriented, highly collaborative, analytical, results driven approach while keeping key stakeholders informed
• Must possess proven excellent customer service skills and the ability to interact professionally and confidently with diverse C-Suite Level Executives, managers and subject matter experts under pressure while remaining consistently calm at all times. Must be experienced in the art of proactive stealth technical support (ie- provide services and support with as few words as possible).
• Ability to respond quickly, understand & articulate root cause on customer issues; proactively provide advice to prevent future service incidents.
• Ensures established SLAs are met or exceeded specific to response and resolution times
• Contribute to Knowledge Base and keep process documentation up-to-date.
• Proactively take on projects and initiatives with minimal to no supervision.
• Often become an escalation point and take over issue resolution from Senior Analyst 3 if the problem cannot be quickly resolved or requires specialized technical knowledge beyond the Analyst 3 level. May act as a “specialist” in a particular discipline.
• Provide input to senior executive assistants on processes and Technology roadmaps for executive needs, including travel and other offsite engagements
• Act independently to determine methods and procedures on new assignments and may supervise the activities of a limited number of other nonexempt employees.

Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Qualifications

• Minimum 10-15 years of C-Suite Senior Executive Technical Support and/or Executive Team Lead experience both PC, Mac, IOS, Laptops, Mobile Devices and core tools, apps and services required daily (see below for list).
• Minimum of an Associate's Degree in computer technology or equivalent from two-year College or technical school.
• Advanced knowledge of Exchange Mail & Executive Scheduling / Calendars, Active Directory, Software Distribution Systems, and related technologies.
• Advanced knowledge (based on both training and on-the-job experience) of a wide range of computer systems software, applications (including MS Office suites), hardware, PC and OSx operating systems, and communications.
• Advanced knowledge of network computing in a Windows & OSX environment & working knowledge of networking fundamentals.
• Familiarity working with Endpoint Engineering and Endpoint Security Teams to quickly gather endpoint data necessary to resolve complex issues
• Strong experience with video conferencing technologies and collaboration tools & platforms, e.g. Cisco, Poly, Slack, Google Suite
• Preferred certifications: ITILv4, ACMT, CCT, CompTIA
• Experience using AI tools such as ChatGPT, Google Gemini, Notebook LM, Writer
• Support experience in a corporate enterprise environment medium to large company (7-10k+ employees)
• Outstanding ability in problem solving, diagnosis and troubleshooting skills
• The ability to work under pressure and multitask in a fast-paced environment is a must.
• Excellent verbal & written communication skills, superior customer handling skills and the capacity to work with minimum supervision.
• Ability to work independently and within a team environment; taking and following directions and completing tasks and assignments in a timely manner and with a positive attitude.
• Strong interpersonal/communication skills with the ability to communicate with technical and non-technical users effectively.
• Familiarity with encryption and security tools and triaging within this environment.
• Hyper responsive during regular working hours, and super flexible and engaged outside regular hours.
• Occasional travel (early morning, evenings, weekends) may be required to support offsite meetings or after-hours emergencies
• Persistent influencing skills and ability to burn through all hard and soft roadblocks with minimum drama and maximum return
• Military background in an IT environment a plus

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California,CA $148,500 - 201,000

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Staff Data Scientist - Data Foundations

Category Data

Location
Mountain View, California; San Diego, California
Job ID 20331

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Join the Intuit Customer Success Data Science & Analytics team as a Staff Data Scientist focused on building the Data foundations. In this role, you will support and enhance an advanced data toolkit for our analytics community.

You will operate as both a hands-on technical leader and a strategic advisor to senior leadership. You’ll shape data foundations for Customer Success and AI strategy, architect scalable modeling frameworks, and influence decisions at the director and VP level. You’ll partner closely with data engineers, technical program managers, data scientists, product managers and architects to mature the data capabilities of Intuit’s Analytics ecosystem.

This role is for someone who thrives in ambiguity, leads independently, and builds systems that scale across teams and business units.

Responsibilities

Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics, and make actionable recommendations.

Perform hands-on analysis and build advanced statistical and machine learning models that quantify the financial and operational impact of customer friction across segments and business units.

Develop impact sizing and prioritization frameworks that inform product roadmaps, investment decisions, and resource allocation.

Partner with senior leaders across Customer Success, Customer Experience, Product and Strategy to embed data-driven decision-making into core operating mechanisms.

Translate complex data insights into actionable recommendations for technical and non-technical stakeholders and business leaders.

Advance generative AI and automation capabilities to simplify workflows and scale insight generation across the organization.

Qualifications

BS or MS degree in Statistics, Mathematics, Computer Science, Econometrics, Operations Research, or a related quantitative field; PhD a plus.

8+ years of experience in data science, machine learning, or advanced analytics, including leading complex cross-functional initiatives with measurable business impact.

Expert-level proficiency in SQL and Python (or R), with a strong track record of building scalable, production-ready, reproducible workflows.

Deep expertise in statistical modeling, including regression, classification, clustering, ensemble methods, causal inference, and experimentation at scale.

Strong experience applying NLP and machine learning techniques to large-scale unstructured data.

Demonstrated ability to define metrics that shape business strategy and influence director- and VP-level stakeholders.

Experience driving AI or advanced analytics initiatives end-to-end — from problem framing through experimentation, measurement, and operationalization.

Proven ability to mentor others, raise technical standards, and influence cross-functional partners without direct authority.

Strong communication skills with the ability to translate complex technical concepts into clear, compelling narratives that drive executive decision-making.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 186,500- 252,000

Southern California $ 179,000- 242,000

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Senior Data Scientist - Data Foundation

Category Data

Location
Mountain View, California; San Diego, California
Job ID 20330

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are seeking a highly motivated and experienced Sr. Data Scientist to join our ICS Data and Analytics Team. In this role, you’ll drive data-driven strategies to optimize Customer Success outcomes for both Mid-Market and SMB customers. If you’re passionate about shaping the future of sales technology through data, we’d love to hear from you!

Responsibilities

• Define KPIs and Success Metrics: Establish key business indicators for projects, ensuring alignment with company objectives and clear measures of success.
• Strategic Recommendations: Provide actionable recommendations using diverse data sets and business knowledge, even when complete data is unavailable, to support strategic decisions.
• Data Visualizations: Translate complex data into clear, accessible visualizations that help stakeholders understand key insights and make informed decisions.
• Experimentation and A/B Testing: Design, execute, and analyze A/B tests and other experiments using a hypothesis-driven approach. Provide insights and recommendations based on test outcomes to optimize business strategies.
• Predictive Analytics and Modeling: Develop predictive models and methodologies to uncover growth opportunities and support long-term business planning.
• Enable Self-Serve Analytics: Define and implement standardized metrics, reports, and dashboards. Work with Data Engineering to ensure data quality and enhance real-time analytic capabilities.
• AI/GenAI Integration: Collaborate with AI teams to integrate AI/GenAI solutions into business processes, enhancing efficiency and innovation.
• Cross-Functional Collaboration: Partner with product, digital and customer support teams to identify opportunities, create data-driven strategies, and influence decision-making.

Qualifications

• 4+ years of experience working with product analytics, web analytics, customer care analytics, or other customer experience analytics
• Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark,
• Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash). Qlik certification is a big plus
• Deep expertise in experimentation design (A/B/n, bandits, painted-door) and causal inference (Propensity Score, DiD, Synthetic Control) with a strategic understanding of their application
• Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior
• Strong business acumen and the ability to translate business strategy into testable hypotheses and learning agendas
• Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership
• Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.
• Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed
• Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 159,500- 215,500

Southern California $ 149,500- 202,500

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Staff Data Scientist

Category Data

Location
Mountain View, California
Job ID 19359

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit’s Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses to manage cash flow. At the heart of this mission, the QuickBooks Capital team is developing innovative solutions that empower customers to confidently access the right loan offerings with greater ease.

The Lending Data Science team is seeking an experienced Data Scientist to lead data science and analytics for the Lending Product —a strategic growth initiative focused on connecting small and medium businesses with the most suitable loans. By leveraging Intuit’s rich customer data, this platform aims to deliver personalized loan offers and streamline the application experience.

In this role, you’ll analyze both internal and lender data to uncover actionable insights, provide strategic recommendations, and help scale the marketplace rapidly. The ideal candidate will have a solid foundation in quantitative analysis, experience working with large datasets, and a strong background in data-driven decision-making. Prior experience in fintech lending including credit card or marketplace analytics is a plus.

Responsibilities

As a Staff Data Scientist on the Lending Data Science team, you will play a pivotal role in shaping strategy through deep analytical insights. This includes:

• Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations.
• Driving strategic insights to shape the future of Intuit’s Lending Marketplace and positively impact millions of small and medium sized businesses
• Developing predictive models, conducting experiments beyond A/B testing, and uncovering customer insights to drive product, marketing, and lending innovations.
• Creating durable customer segmentation strategies to enhance targeting, positioning, and user experience.
• Collaborating closely with cross-functional partners in Product Management, Marketing, Engineering, and Design to inform and guide product strategy.
• Translating complex data into clear, actionable insights for both technical and non-technical stakeholders

Qualifications

• We’re looking for a curious, proactive data scientist with a passion for fintech.
• 7+ years of experience in data science and analytics in the fintech sector, ideally in lending, credit cards, or marketplaces.
• Proven ability to form hypotheses and find business opportunities based on customer behavior, industry trends, and market conditions.
• Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing.
• Strong expertise in predictive modeling, customer segmentation, and experimentation design.
• Experience in building scalable, reusable analytics tools and avoiding redundant efforts.
• Excellent communication and stakeholder influence skills across business and technical teams.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field.

Technical Skills:

• Advanced SQL proficiency and hands-on experience with visualization tools such as Tableau
• Strong analytical and modeling skills using Python or R
• Experience applying statistical and machine learning techniques to solve go-to-market and product problems

Preferred Additional Qualifications

• Experience addressing growth-related challenges at fintech companies focused on lending, credit cards, or marketplaces serving consumers or SMBs.
• Understanding of lending product nuances.
• Mix of product and marketing data science and/or analytics experience.
• Experience scaling multi-sided marketplace companies.
• Familiarity with Generative AI and other emerging technologies

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $186,500 - $252,000

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Senior Staff Data Scientist, Quickbooks

Category Data

Location
Mountain View, California
Job ID 17030

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit QuickBooks is a market leader in accounting and financial solutions for small and mid-market businesses. Intuit Intelligence is the next evolution of the QuickBooks Platform — a powerful, unified interface that leverages QuickBooks data to deliver real-time insights, take intelligent action, and connect customers with trusted expert guidance.

The Intuit Intelligence team is at the forefront of redefining how millions of small and mid-market businesses interact with their finances, building cutting-edge GenAI and Agentic done-for-you solutions that help customers move faster, operate smarter, and grow with confidence. We collaborate closely with Product Management, Engineering, Design, AI Science, Marketing and Business Operations teams to drive data-informed decisions through strategic thinking, experimentation, and predictive analytics.

As a senior member of this team, you will uncover actionable insights and deliver recommendations that fuel the growth of one of Intuit's most strategic priorities. The ideal candidate brings a strong background in quantitative analysis, a track record of influencing decisions with data, and a passion for building what's next.

Responsibilities

As a Senior Staff Data Scientist, you will dive deep into data to shape strategic decisions that directly impact product development and Go-to-Market strategies.

• Conceptualize business problems, formulate hypotheses, define key metrics, and deliver actionable recommendations.
• Drive strategic insights that shape the future of Intuit Intelligence, impacting millions of small businesses worldwide.
• Develop predictive models, design and interpret complex experiments, and generate customer insights that inform product innovation.
• Build durable customer segmentation frameworks to refine product targeting, positioning, and experience.
• Partner with Product, Marketing, Engineering, Design and AI leaders to deliver insights that drive strategy and growth.
• Translate complex data findings into clear, actionable recommendations for both technical and non-technical stakeholders.

Qualifications

The ideal candidate is a curious, proactive data scientist with a strong understanding of customer behavior and a passion for AI-powered product experiences. They actively embrace and build with the latest AI tools — leveraging them to sharpen their own productivity, deepen analytical capabilities, and elevate data fluency across the organization.

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
• 10+ years of experience in data science or product analytics, with a strong foundation in predictive modeling, customer segmentation, and experimentation.
• Proven ability to formulate data-backed strategies that drive step-function business growth and increase customer benefit.
• Experience designing and interpreting complex experiments beyond traditional A/B testing.
• Track record of building reusable, scalable analytics solutions with a focus on efficiency.
• Outstanding communication skills with the ability to influence decision-makers and build cross-functional consensus.
• Adaptable and self-directed, with the ability to thrive independently or collaboratively in a fast-paced environment.

Technical Skills:

• Advanced SQL and proficiency in visualization tools such as Qlik, Tableau, or Plotly Dash.
• Strong modeling skills using Python (NumPy, Pandas, Scikit-learn, etc.).
• Experience with causal inference techniques including propensity score matching, difference-in-differences, and synthetic control methods.
• Familiarity with Generative AI tools and emerging technologies to build agentic data solutions, and extract insights from multi-modal data.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $204,500- 276,500

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Manager 2, AI Science Capital

Category Data

Location
Mountain View, California
Job ID 20016

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small and mid-market businesses and the self-employed. To achieve this, the Fintech Risk organization is looking for a strong AI science Manager leader to expand and strengthen our AI team supporting Lending solutions.

As a strategic and results-oriented AI Science Manager, you will drive operational excellence by leading our team of talented AI scientists and MLEs. This role requires an expert in developing high-performing teams, championing continuous improvement and expansion, collaborating across the organization to execute both functional and strategic initiatives and fostering a culture of accountability and innovation.

Responsibilities

• Leadership: Lead a team to manage the efficient growth and execution of our AI solutions for credit risk l for lending and capital domain at the corporate level. Develop high performing teams by understanding and facilitating team dynamics, recognizing and developing great talent, recommending and implementing process improvements, and ensuring you have an engaged team, always leading by example. Build, lead, and mentor a team of AI scientists and MLEs, ensuring growth in technical depth, business acumen, and leadership skills.
• Provide technical leadership in applying advanced statistical, machine learning, AI and experimental design methods to complex problems.
• Customer Obsession: Lead the execution of new AI solutions from ideation towards production in the domain for direct lending credit risk and capital, this includes building quarterly work plans for the team, monitoring execution, working with stakeholders to maintain suitable prioritization and support the team by leading from the front. While solving the biggest problem for our customer via AI, you will also need to maintain operational excellence via observability and advanced MLE techniques and run the business alongside execution of new initiatives. Build scalable structures and processes, provide clarity and direction in a fast-paced and ambiguous environment, enabling teams to focus on high-impact opportunities while adapting to evolving business priorities.
• Innovation: Lead and influence cross-functional teams using AI and Data driven insights and influence innovative solutions in complex situations.
• Provide clear, actionable recommendations to senior leaders to influence shaping of strategic decisions through data-driven insights.
• Scope and Planning: Translate business and AI strategies into multiple short-term and long-term well defined analytical projects, and manage end-to-end execution.
• Role-models “win-together” while challenging status quo and driving changes across teams regardless of organizational structure.

Qualifications

• MS, or PhD in Statistics, Computer Science and engineering, AI, ML,Applied Math, , or related field.
• 10+ years of experience in ML, AI, statistics and related fields, with a proven track record of delivering measurable business impact and bringing AI solutions into production.
• 3+ years of experience in application of AI and Data science in Credit risk direct lending and capital. Knowledge and domain expert in other related subject areas within a fintech, payment processing, or online banking operations organization in an advantage.
• 3+ years of experience in leading and managing a high performing team.
• A coach that loves developing people, embraces empowerment, accountability, and a high-performance culture creating a team that is constantly seeking new and innovative ways to deliver value and a better customer experience. You have a track record of identifying and developing exceptional talent to build high performing, highly engaged teams.
• Excellent communication skills, including in business writing and presentations at an executive level. Use data to create and tell a story that motivates, inspires, and ultimately galvanizes others to create and then implement innovative, best-in-industry improvements. Create visibility upwards, downwards, and across the organization to ensure transparency and alignment.
• Demonstrated ability to work in a matrix environment and ability to both influence and develop strong partnerships at all levels.
• Collaborative, reliable, and highly analytical partner with an ability to make data-driven decisions and to translate identified opportunities into action plans. Demonstrated ability to expertly lead cross-functional projects and to guide the organization through change.
• Possesses a high level of intellectual curiosity focused on identifying the root cause of problems to generate results and exhibiting the highest personal and professional standards of integrity and ethics.
• Strong money movement domain expertise required, in the domains of direct lending, capital, credit and financial risk.
• Bachelor’s degree (Business, Management, Economics, Accounting, or Finance preferred) or equivalent work experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 231,000- 312,500

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Full Stack Staff SWE

Category Software Engineering

Location
Mountain View, California
Job ID 19418

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Global Business Solutions Group as a Staff Software Engineer. QuickBooks is truly the operating system behind small business accounting and comes in multiple flavors. Be part of the revamped QuickBooks Accountant Mission to drive prosperity for small business. You will be working with a highly motivated and cohesive team delivering cutting edge capabilities and having fun while doing it.

Responsibilities

• Development of customer-facing applications from design through implementation, with a focus on online SaaS applications using full-stack expertise (Front End and Backend).
• Contribute to full lifecycle quality and engineering activities, including peer reviews of estimates, designs and code
• Act in a technical leadership capacity: Mentoring junior engineers, new team members, and applying technical expertise to challenging programming and design problems
• Partner effectively with all team members in the organization to deliver against commitments
• Roughly 70-85% hands-on coding
• Resolve defects/bugs during testing, pre-production, production, and post-release patches
• Work cross-functionally with various Intuit teams: product management, various product lines, or business units to drive forward results
• Contribute to the design and architecture of the project
• Experience with Agile Development, SCRUM, or Extreme Programming methodologies
• Commitment to team success and positive team dynamics
• Passion for growing and applying technical skills in service to customers

Qualifications

• BS/MS in Computer Science or related area or equivalent experience
• 7+ years of experience developing systems/software for large business environments (Java/J2EE, Python preferred)
• 7+ years of experience designing complex distributed systems, management products or business applications
• 7+ years of professional working experience delivering production-ready code
• Prior experience working in teams that have built AI native applications for 1+ years
• Full-stack development experience with AI technologies and tools; applying it to user experiences or backend solutions.
• Advocate for the highest standards for engineering design, implementation, and testing.
• Expertise with the entire Software Development Life Cycle (SDLC) and technologies like Java/J2EE, Javascript, React, and TypeScript to build Single Page Architectures.
• Strong leadership experience: Leading meetings, presenting, technical go-to person, and cross-functional leader
• Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos etc
• Strong experience with Databases design (SQL, NoSQL) and analytics
• Prior working experience in utility computing and/or cloud computing domain highly desired
• Experience building and deploying applications and services into cloud environments (AWS highly desired)

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 197,000- 266,500

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Manager 2, Software Engineering Manager - Mobile

Category Software Engineering

Location
Mountain View, California
Job ID 19964

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Fintech team serves some of the most critical business needs of small business and their

customers. Come join this innovative and passionate team of engineers to help build the next

generation of awesome products and experiences across multiple platforms using latest cutting edge

technology.

Responsibilities

Manage an engineering team that builds and supports amazing customer-facing products

across web and mobile that provide innovative solutions to challenging programming and

design problems.

• Guide a team in design and development of responsive web applications providing awesome

user experiences in desktop and mobile devices. Guide mobile engineers in development of

scalable native experiences in iOS and Android.

• Hands-on development. Be able evaluate code with utmost attention to scalability,

performance and reliability.

• Collaborate closely with Product Managers, Designers, QE/QA and other Intuit teams and

business units to define, prioritize, sequence and scope business and functional requirements

and drive results forward for Intuit.

• Accurately scope effort, identify risks and clearly communicate trade-offs with team members

and other stakeholders.

• Stay aware of industry trends and make technology choices and strategic decisions.Subject

matter expert on web and/or mobile technologies.

• Mentor engineers on technology, process, people, and product skills.

• Ship high quality products and features with an end-to-end mindset from conception to delivery

and production support, owning specifications, quality, release deployments and monitoring of

production health.

• Build and lead high performing and collaborative teams with clear vision. Lead positive

change, empowering people and fostering a culture of innovation.

Qualifications

• 2+ years of leading a web/mobile/full stack engineering team.

• 10+ years of experience designing and developing consumer-facing applications on web and/

or mobile.

• Knowledge of current technology trends and best practices

• Knowledge of front-end architecture including performance, accessibility and usability.

• Experience with the full stack of software development.

• Expertise in Software Design and Architecture.

• Scrum, Agile Process, Unit Testing & Test Driven Development.

• Strong leadership, problem solving and communication skills.

• Great business acumen with a passion to solve for the customer.

• Nice to have: Payments and Banking domain knowledge.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 213,500- 288,500

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Manager 2, Data Science (GBSG - Mid Market)

Category Data

Location
Mountain View, California; San Diego, California
Job ID 20341

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

• Lead and develop a team of data scientists supporting Marketing and Sales for Intuit Enterprise Suite (IES), providing coaching, structured feedback, and growth opportunities to strengthen technical skills, business impact, and emerging leadership capabilities.
• Own a well-defined problem space within GTM analytics (e.g., pipeline generation, conversion, or revenue performance), setting clear priorities and ensuring delivery against team goals with measurable business outcomes.
• Build team operating mechanisms and scalable processes that bring clarity, focus, and execution rigor in a fast-paced and evolving mid-market environment.
• Partner with Marketing, Sales, Product, and Finance stakeholders to apply data-driven insights to business problems, influencing decisions within your domain and contributing to broader GTM strategy.
• Translate business needs into clearly scoped analytical problems and roadmaps, and drive end-to-end execution—from problem framing and analysis to insight generation and stakeholder adoption.
• Define and operationalize core metrics and measurement frameworks to track performance across the marketing and sales funnel, ensuring consistency and trust in data-driven decisions.
• Apply and guide the team in using advanced analytics techniques (experimentation, statistical modeling, machine learning) to solve business problems, with a focus on practical impact over theoretical complexity.
• Promote a culture of experimentation and test-and-learn, enabling teams to validate hypotheses and improve performance through data.
• Drive adoption of best practices in data science workflows, tooling, and communication to improve team effectiveness and output quality.
• Demonstrate and foster a “win together” mindset, collaborating effectively across teams while constructively challenging assumpti

Responsibilities

• Lead and develop a team of data scientists supporting Marketing and Sales for Intuit Enterprise Suite (IES), providing coaching, structured feedback, and growth opportunities to strengthen technical skills, business impact, and emerging leadership capabilities.
• Own a well-defined problem space within GTM analytics (e.g., pipeline generation, conversion, or revenue performance), setting clear priorities and ensuring delivery against team goals with measurable business outcomes.
• Build team operating mechanisms and scalable processes that bring clarity, focus, and execution rigor in a fast-paced and evolving mid-market environment.
• Partner with Marketing, Sales, Product, and Finance stakeholders to apply data-driven insights to business problems, influencing decisions within your domain and contributing to broader GTM strategy.
• Translate business needs into clearly scoped analytical problems and roadmaps, and drive end-to-end execution—from problem framing and analysis to insight generation and stakeholder adoption.
• Define and operationalize core metrics and measurement frameworks to track performance across the marketing and sales funnel, ensuring consistency and trust in data-driven decisions.
• Apply and guide the team in using advanced analytics techniques (experimentation, statistical modeling, machine learning) to solve business problems, with a focus on practical impact over theoretical complexity.
• Promote a culture of experimentation and test-and-learn, enabling teams to validate hypotheses and improve performance through data.
• Drive adoption of best practices in data science workflows, tooling, and communication to improve team effectiveness and output quality.
• Demonstrate and foster a “win together” mindset, collaborating effectively across teams while constructively challenging assumptions and improving ways of working.

Qualifications

• BS, MS, or PhD in Statistics, Computer Science, Applied Mathematics, Econometrics, Operations Research, or a related quantitative field.
• 8+ years of experience in data science, analytics, or a related role, including prior experience leading or mentoring individuals or small teams.
• Demonstrated ability to own and deliver within a defined problem space, with clear examples of driving measurable impact (e.g., improving conversion, pipeline efficiency, or revenue outcomes).
• Strong hands-on proficiency in SQL, Python, R, and experience working with large-scale datasets and visualization tools.
• Solid expertise in at least one core area such as experimentation/causal inference, predictive modeling, or statistical analysis, with the ability to apply methods appropriately to business problems.
• Experience partnering with cross-functional stakeholders (Marketing, Sales, Product, etc.), with the ability to influence decisions through clear communication and data storytelling.
• Proven ability to translate ambiguous business questions into structured analyses, and deliver actionable insights with follow-through.
• Strong balance of execution and emerging strategic thinking—able to connect team work to broader business goals while staying close to the details.
• Comfortable operating in ambiguous, fast-paced environments, with the ability to prioritize effectively and adapt to changing business needs.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 200,000- 271,000

Southern California $ 183,500- 248,500

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Staff Software Engineer - Credit Karma

Category Software Engineering

Location
Charlotte, North Carolina
Job ID 20430

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free.

*Banking services provided by MVB Bank, Inc., Member FDIC

As a backend software engineer on our engineering team, you'll get to lead a growing team at Intuit Credit Karma that works across various verticals (home, auto, personal loans, and credit cards). You'll impact a platform that is responsible for handling millions of members accessing their Intuit Credit Karma accounts, including registration, login, SMS 2FA, and account recovery. Further, you’ll help build product experiences that guide our members through the most challenging financial decision of their lifetime: buying their dream home. From finding a realtor, understanding loan options, and applying to get pre-approved, we help our members every step of the way. There is an enormous opportunity to build things at scale, move fast, and have a high impact across many different products, including our Core product, Auto, Mortgage and Assets.

What’s great about the role:

• Join an engineering team that is experiencing explosive growth and we are actively growing the team to improve and expand our product portfolio
• We are solving BIG problems that are fundamentally changing old industries
• Opportunity to meaningfully improve the lives of our members
• Fast-paced environment that operates like a ‘start-up’ within Credit Karma

Responsibilities

What you’ll do:

• Contribute to our core services and data aggregation layer; meeting our need for scale, quality, and rapid iteration
• Build out high quality integrations with other internal services leveraging Credit Karma’s rich financial data set
• Work closely with our external partners to acquire new data to enrich our core user experience
• Develop automation throughout our stack; through our build & deployment processes, testing, monitoring, data pipeline, and beyond
• Work with front-end developers to complete end-to-end solutions and iterate rapidly as we experiment and learn
• Willingness to learn new skills as our product and technology footprint grows

Qualifications

Minimum Basic Requirements:

• Proficient in Scala or Java with solid foundation in object-oriented or functional programming, design patterns, algorithms, and system architecture. We code primarily in Scala, so you’ll be excited to either ramp or continue with such!
• Experience in microservices architecture, messaging patterns, and deployment models
• Experience in API design and building robust and extendable client/server contracts

Preferred Qualifications:

• Proficient in Scala, Java, or Typescript
• Experience with Kafka, RabbitMQ, Amazon SQS or similar data messaging platform
• Experience building highly integrated, large-scale, high-volume, and testable systems
• Experience with Kubernetes and containers technologies
• Ability to mentor and coach other team members
• A solid foundation in OOP, design patterns, algorithms, programming languages, networking and Linux operating systems
• Expert understanding of web application internals and scalability at any tier
• Proficiency in SQL, relational database schema design and ORM technologies & concepts
• Strong understanding of deployment strategies and production infrastructure needs
• Strong communication and leadership abilities.
• Experience with Agile/Scrum practices
• Bachelor’s or Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Apply Now
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Software Engineer 2 - Credit Karma

Category Software Engineering

Location
Charlotte, North Carolina
Job ID 20429

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free.

*Banking services provided by MVB Bank, Inc., Member FDIC

As a backend software engineer on our engineering team, you'll get to lead a growing team at Intuit Credit Karma that works across various verticals (home, auto, personal loans, and credit cards). You'll impact a platform that is responsible for handling millions of members accessing their Intuit Credit Karma accounts, including registration, login, SMS 2FA, and account recovery. Further, you’ll help build product experiences that guide our members through the most challenging financial decision of their lifetime: buying their dream home. From finding a realtor, understanding loan options, and applying to get pre-approved, we help our members every step of the way. There is an enormous opportunity to build things at scale, move fast, and have a high impact across many different products, including our Core product, Auto, Mortgage and Assets.

What’s great about the role:

• Join an engineering team that is experiencing explosive growth and we are actively growing the team to improve and expand our product portfolio
• We are solving BIG problems that are fundamentally changing old industries
• Opportunity to meaningfully improve the lives of our members
• Fast-paced environment that operates like a ‘start-up’ within Credit Karma

Responsibilities

What you’ll do:

• Contribute to our core services and data aggregation layer; meeting our need for scale, quality, and rapid iteration
• Build out high quality integrations with other internal services leveraging Credit Karma’s rich financial data set
• Work closely with our external partners to acquire new data to enrich our core user experience
• Develop automation throughout our stack; through our build & deployment processes, testing, monitoring, data pipeline, and beyond
• Work with front-end developers to complete end-to-end solutions and iterate rapidly as we experiment and learn
• Willingness to learn new skills as our product and technology footprint grows

Qualifications

Minimum Basic Requirements:

• Proficient in Scala or Java with solid foundation in object-oriented or functional programming, design patterns, algorithms, and system architecture. We code primarily in Scala, so you’ll be excited to either ramp or continue with such!
• Experience in microservices architecture, messaging patterns, and deployment models
• Experience in API design and building robust and extendable client/server contracts

Preferred Qualifications:

• Proficient in Scala, Java, or Typescript
• Experience with Kafka, RabbitMQ, Amazon SQS or similar data messaging platform
• Experience building highly integrated, large-scale, high-volume, and testable systems
• Experience with Kubernetes and containers technologies
• Ability to mentor and coach other team members
• A solid foundation in OOP, design patterns, algorithms, programming languages, networking and Linux operating systems.
• Expert understanding of web application internals and scalability at any tier.
• Proficiency in SQL, relational database schema design and ORM technologies & concepts.
• Strong understanding of deployment strategies and production infrastructure needs.
• Strong communication and leadership abilities.
• Experience with Agile/Scrum practices.
• Bachelor’s or Masters degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Apply Now
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Software Engineer 2 - Credit Karma

Category Software Engineering

Location
Charlotte, North Carolina
Job ID 20419

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free.

*Banking services provided by MVB Bank, Inc., Member FDIC

As a backend software engineer on our engineering team, you'll get to lead a growing team at Intuit Credit Karma that works across various verticals (home, auto, personal loans, and credit cards). You'll impact a platform that is responsible for handling millions of members accessing their Intuit Credit Karma accounts, including registration, login, SMS 2FA, and account recovery. Further, you’ll help build product experiences that guide our members through the most challenging financial decision of their lifetime: buying their dream home. From finding a realtor, understanding loan options, and applying to get pre-approved, we help our members every step of the way. There is an enormous opportunity to build things at scale, move fast, and have a high impact across many different products, including our Core product, Auto, Mortgage and Assets.

What’s great about the role:

• Join an engineering team that is experiencing explosive growth and we are actively growing the team to improve and expand our product portfolio
• We are solving BIG problems that are fundamentally changing old industries
• Opportunity to meaningfully improve the lives of our members
• Fast-paced environment that operates like a ‘start-up’ within Credit Karma

Responsibilities

What you’ll do:

• Contribute to our core services and data aggregation layer; meeting our need for scale, quality, and rapid iteration
• Build out high quality integrations with other internal services leveraging Credit Karma’s rich financial data set
• Work closely with our external partners to acquire new data to enrich our core user experience
• Develop automation throughout our stack; through our build & deployment processes, testing, monitoring, data pipeline, and beyond
• Work with front-end developers to complete end-to-end solutions and iterate rapidly as we experiment and learn
• Willingness to learn new skills as our product and technology footprint grows

Qualifications

Minimum Basic Requirements:

• Proficient in Scala or Java with solid foundation in object-oriented or functional programming, design patterns, algorithms, and system architecture. We code primarily in Scala, so you’ll be excited to either ramp or continue with such!
• Experience in microservices architecture, messaging patterns, and deployment models
• Experience in API design and building robust and extendable client/server contracts

Preferred Qualifications:

• Proficient in Scala, Java, or Typescript
• Experience with Kafka, RabbitMQ, Amazon SQS or similar data messaging platform
• Experience building highly integrated, large-scale, high-volume, and testable systems
• Experience with Kubernetes and containers technologies
• Ability to mentor and coach other team members
• A solid foundation in OOP, design patterns, algorithms, programming languages, networking and Linux operating systems.
• Expert understanding of web application internals and scalability at any tier.
• Proficiency in SQL, relational database schema design and ORM technologies & concepts.
• Strong understanding of deployment strategies and production infrastructure needs.
• Strong communication and leadership abilities.
• Experience with Agile/Scrum practices.
• Bachelor’s or Masters degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Apply Now
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Sr. Staff Product Manager, (People Tech Systems) AI Innovation

Category Product Management

Location
Mountain View, California
Job ID 9526

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit's T4i organization is building the next generation of AI-powered systems that transform how we hire, grow, and retain talent at scale. We need a Senior Staff Product Manager who doesn't just manage products but rethinks entire systems through an AI-native lens.

This role leads the product vision for People Tech platforms that span recruiting, workforce intelligence, and employee lifecycle. You will fundamentally reimagine what's possible when AI operates as the system's nervous system, not a bolt-on.

You will own the product strategy for AI-driven capabilities across HR and TA technology: intelligent job definition engines, adaptive interview systems, real-time talent matching, and more. If you believe people systems should be as smart, personalized, and proactive as consumer products, this role is for you.

How You'll Grow

This role sits at the intersection of AI innovation and enterprise platform strategy, two of Intuit's highest-investment areas. You will have a direct line to how Intuit thinks about AI-native internal products, with visibility into company-wide AI strategy.

You will also be helping build toward something bigger: a Workforce Operating System that makes talent as programmable and scalable as software infrastructure. The work you do here shapes Intuit's category-defining approach to workforce AI.

The Senior Staff PM level at Intuit is a recognized technical leadership position. You will shape product direction, influence architecture, and mentor the next generation of AI PMs. The path forward is to Principal PM or GM-level product leadership for AI-powered enterprise systems.

About the Team

People & Places Technology is where Intuit's commitment to its people meets its commitment to AI-first innovation. We build the platforms that power hiring, onboarding, performance, learning, and workforce intelligence for 17,000+ employees worldwide. Our team operates with a builder mentality: we prototype fast, ship iteratively, and hold ourselves to the same craft standards we expect in Intuit's customer-facing products.

We live Intuit's operating values:

• Customer Obsession: Our recruiters and employees are our customers
• Courage: We rethink legacy systems instead of patching them
• Integrity Without Compromise: Responsible AI is non-negotiable
• Stronger Together: We win as a cross-functional team, never in silos

Responsibilities

What You'll Do

• Define and drive the AI-first product vision for People Tech systems, setting the multi-quarter roadmap for how AI transforms recruiting, workforce planning, and employee experience at Intuit scale
• Architect intelligent product capabilities, including structured job definitions that auto-generate inclusive descriptions, interview question guides anchored to craft skills rubrics, and candidate-to-role matching systems grounded in skills, not proxies
• Own the full product lifecycle from discovery through post-launch optimization, using outcome data (time-to-hire, candidate NPS, quality of hire, retention) to continuously refine what the system does and how it learns
• Lead cross-functional strategy across engineering, data science, design, legal/compliance, and HR business partners, translating complex AI capabilities into experiences that recruiters, hiring managers, and candidates trust
• Build the responsible AI framework for people systems, ensuring fairness, auditability, bias detection, and human-in-the-loop governance are product features, not afterthoughts
• Shape platform architecture decisions with engineering, driving API enablement, data pipeline strategy, system orchestration, and integration design across Avature, Workday, and emerging AI services
• Influence Intuit's broader AI strategy by demonstrating what AI-native enterprise products look like when they're built with craft, not hype

What You'll Bring

Technical Craft

• Deep fluency in AI/ML product development: you understand model training loops, data pipelines, prompt engineering, and where to draw the line between automation and human judgment
• Ability to write technical PRDs that engineers respect. You think in systems, APIs, data flows, and architecture tradeoffs, not just feature specs
• Hands-on comfort with AI tools (LLMs, agent frameworks, MCPs, embeddings). You prototype, you build, you evaluate. You don't just point at a roadmap

Execution Excellence

• Track record of shipping AI-powered products from zero-to-one and iterating them from one-to-scale, with measurable business outcomes
• Ability to operate in deep ambiguity: defining the problem, the solution space, and the success criteria when none of them are obvious
• Strong delivery instincts. You scope ruthlessly, sequence dependencies, unblock teams, and hold yourself accountable for outcomes, not just outputs

Customer-Centric Outcomes

• Demonstrated ability to synthesize user research, behavioral data, and business signals into product decisions that measurably improve customer outcomes
• Experience building products for enterprise internal customers (HR, recruiting, employee experience) where the "customer" is both the system user and the person being served by the system
• You define success metrics upfront and track post-launch impact with the same rigor as a consumer PM

Accelerating Teams

• Experience leading through influence across engineering, data science, design, and business stakeholders without direct authority
• Track record of mentoring PMs, elevating team rituals, and building product culture, not just shipping your own features
• Ability to translate complex AI capabilities into narratives that non-technical executives, legal teams, and HR leaders can act on

Qualifications

Required

• 8+ years of product management experience, with at least 3 years focused on AI/ML-powered products
• Bachelor's degree in Computer Science, Engineering, or a related technical field
• Proven track record of managing the end-to-end product lifecycle for enterprise or platform products
• Experience leading cross-functional teams (engineering, data science, design) and influencing without direct authority
• Strong analytical and data skills with demonstrated ability to define success metrics and measure product impact

Preferred

• Master's degree or MBA
• Experience with HR/TA technology ecosystems (ATS, HRIS, workforce analytics)
• Background in responsible AI, fairness frameworks, or compliance-sensitive product domains
• Familiarity with Intuit's craft skills rubric and operating values
• Experience building agentic AI systems or multi-model orchestration products

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $191,500 - $259,000

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AI Scientist 2 - Credit Karma

Category Data

Location
Charlotte, North Carolina
Job ID 20408

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Credit Karma’s fast growing Partner Decision Science team is seeking an experienced Data Scientist or Data Analyst with Credit Risk Modeling support background. This role will allow a motivated individual to be an early member of a growing team who will work closely with our bank and Fintech partners to build and optimize targeting models on the Credit Karma platform. By doing this they will drive significant revenue for Credit Karma and its partners, while providing approval certainty for consumers. This is one of the most significant strategic initiatives at Credit Karma that will change the trajectory of the company and its industry.

Responsibilities

• Be the critical bridge between banking / fintech partners and the Credit Karma data science platform. Help some of the biggest financial institutions in the country work with the CK modeling platform and meet all data requirements for banking / fintech partners
• Work hand-in-hand both with the internal data science teams, as well as partner risk science teams to integrate and build decision science models on the CK platform
• Build strong relations with data science teams at financial institutions, ranging from VP-level executives all the way to hands-on data scientists
• Thoroughly understand the capabilities of the Credit Karma machine learning platform, and help drive requirements and directly enhance Karma s capabilities
• Optimize and guide the partner model building and analytics process, in order to achieve optimal results. Coach partner risk teams on machine learning capabilities provided by the CK platform, providing advocacy for partners within Credit Karma and vice versa

Qualifications

• Thoroughly understand the capabilities of the Credit Karma machine learning platform, and help drive requirements and directly enhance Karma s capabilities
• Optimize and guide the partner model building and analytics process, in order to achieve optimal results. Coach partner risk teams on machine learning capabilities provided by the CK platform, providing advocacy for partners within Credit Karma and vice versa

*Minimum Basic Requirements:*

• Degree (Bachelors or Masters) in Statistics, Math, Data Analytics or a relevant quantitative discipline
• Approximately 5 years of experience in statistical analysis, modeling, or data analysis, preferably related to one or more of: credit and underwriting, customer segmentation and marketing analytics, or customer valuations
• Minimum of 3 plus years of experience building, implementing, or utilizing complex models in a financial risk / data science environment
• Experience with consumer credit data

Preferred Qualifications:

• Strong knowledge of Python, SQL, or similar industry standard tools used for large-scale data analysis and modeling.
• Experience and/or interest in machine learning techniques
• Experience interfacing with teams at Financial institutions

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Apply Now
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Staff Security Engineer - Credit Karma

Category Security, Risk & Fraud

Location
Charlotte, North Carolina
Job ID 20420

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

• Design and implement secure cloud architectures across AWS, GCP, and/or Azure aligned to zero-trust principles
• Lead cloud network security initiatives including segmentation, micro-segmentation, traffic inspection, ingress/egress controls, and identity-aware networking
• Build and deploy AI-driven security automation using Generative AI and LLM-based agents to detect, triage, and remediate security findings
• Develop intelligent guardrails for CI/CD pipelines, enabling automated policy enforcement and pre-deployment security validation
• Implement and manage data security controls including encryption, key management, tokenization, and data loss prevention strategies

Responsibilities

• Lead applied cryptography efforts including PKI design, certificate lifecycle management, and secrets management in distributed systems
• Operate Tier-0 production systems with strong operational rigor, participating in on-call rotations and leading incident response efforts
• Conduct security design reviews, threat modeling, and architecture risk assessments
• Partner with engineering, and platform teams to embed secure-by-design practices across the software lifecycle
• Research, evaluate, and introduce modern cloud security technologies and AI-enabled security capabilities
• Mentor and coach junior engineers, raising the technical bar across cloud networking and security automation domains
• Contribute across multiple security domains including Network Security, Data Security, Cryptography/PKI, and Detection & Response

Qualifications

• 8+ years of experience in Cloud Security Engineering, Security Architecture, or related infrastructure security roles
• Strong expertise in core cloud networking (VPC/VNet design, routing, peering, DNS, load balancing, firewalls, private connectivity, service mesh)
• Deep understanding of zero trust principles, micro-segmentation, and least-privilege access enforcement
• Proven experience designing and securing large-scale AWS, GCP, or Azure environments
• Hands-on experience building security automation using Python, Go, or similar languages
• Practical experience applying AI and Generative AI (LLMs/agents) to automate security operations, triage, and remediation workflows
• Experience operating Tier-0 or mission-critical production systems with participation in incident response and on-call rotations
• Ability to perform threat modeling, architecture reviews, and risk assessments across distributed cloud systems
• Demonstrated ability to mentor junior engineers and raise technical standards across teams
• Clear and effective communication skills, capable of influencing both technical teams and leadership

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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Senior Staff Technical Compliance Manager - Credit Karma

Category Security, Risk & Fraud

Location
Charlotte, North Carolina
Job ID 20418

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are looking for an exceptional security leader to strategize, design, and guide the implementation of our rapidly expanding security capabilities to secure applications and data in multi-/hybrid-cloud environments. With strong technical competency in the areas of cloud infrastructure, Application, and data security ,you'll lead and partner with an innovative and passionate team of engineers to create and implement effective, cost-efficient, and low-friction security solutions using cutting-edge technologies.

Responsibilities

• Lead strategic initiatives to mitigate and remediate security risk across the organization
• Implement & Instrument security controls and tooling across cloud infrastructure to uplevel the security posture
• Work on a cloud native environment leveraging Containerized Workloads, Serverless Architecture and Automated CICD Pipeline to manage Infrastructure-as-a-Service
• Perform Scripting and Coding to build security tooling and for automating redundant tasks.
• Use terraform to deploy security baseline controls, perform code reviews, and provide recommendations for improved security.
• Research and advocate new technologies, architectures, and security products that will support security strategies, patterns, and standards and help address new threat vectors
• Lead Applied Cryptography function focussed on PKI, Key Lifecycle Management and Secrets/Vault Management in a distributed and multi-tenant environment.
• You will be working on at least 2-3 vertical domains within Security Engineering- Applied Cryptography, IAM, Network Security, Vulnerability Management or Detection & Response Engineering
• Operate in a Tier 0 environment with a rigor and discipline to handle rotational on call and incident response.
• Define, document and implement security standards, guidelines and procedures for secure operations in a cloud infrastructure environment.

Qualifications

• 10+ years of experience in Security Engineering building, operating and architecting a combination home grown and vendor solutions.
• Strong understanding of Computer Engineering with a focus on Security, Infrastructure, Platform, IAM and Application (Cloud, Containerization, Container orchestration, Network, Application Reliability, Database Architecture).
• Demonstrable knowledge of Network Architecture, web application security, and experience supporting multi-tier web application architectures.
• Experience running Infrastructure at scale; utilizing Configuration Management and automation to ensure idempotency, ephemerality, security, and reliability.
• Experience operating Tier 0 Systems in Production which are customer and revenue impacting.
• Expertise in at least 2-3 vertical domains within security engineering is a big plus - Applied Cryptography, IAM, Network Security, Vulnerability Management or Detection & Response Engineering
• Professional knowledge of Golang, Java or other higher-level OOP languages
• Professional experience with Kubernetes, Helm, Terraform and CI/CD toolsets
• Familiar with SRE and Devsecops methodologies and passionate about solving operation problems by utilizing automation and software.
• Ability to communicate effectively vertically and horizontally within the organization via demonstrated written and verbal communication skills.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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Staff Software Engineer - Credit Karma

Category Software Engineering

Location
Charlotte, North Carolina
Job ID 20433

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Lightbox Engineering team is responsible for enabling our partners to build and host their proprietary models on Credit Karma. We provide various applications and data, hosted on Google Cloud Platform, which help our partners to build their models, analyze performance and iterate. As a Staff Software Engineer, you will own engineering efforts to provide streaming and batch data to our partners with low latency and high data quality.

Responsibilities

• Build scalable data pipelines leveraging Cloud Composer and Airflow.
• Work on critical efforts designing and building our next generation streaming data pipeline, leveraging PubSub, Scala, Dataflow, Spark and Google Cloud Platform.
• Design, build and launch extremely efficient & reliable data warehouse solutions and data pipelines to make large volumes of data usable for our partners to build models.
• Build critical data quality checks to ensure that the data we provide to our partners meets security and compliance requirements.
• Participate in code and technical design reviews
• Take an active role in the technical growth of other team members and the processes that support overall team growth
• Scope and plan work across multi-team efforts, working with collaborators to establish a product vision in technical terms, and plan implementation and delivery

Qualifications

• 5+ years of significant professional experience in server-side development written in Scala, Java, Go, or Python
• 5+ years of professional experience developing large-scale, high-volume services
• 5+ years of experience managing data pipelines and infrastructure using Dataflow, Spark, Hadoop, Flink, and Airflow.
• Professional experience across the entire software development process, from development environment, to CI & CD including CircleCi, Jenkins, or TravisCi, to production deployment, product and application performance measurement
• Confident articulating complex technical content to peers and partners across the organization via Technical Design Documents.
• Proven ability and interest in mentorship of junior engineers.

Preferred Qualifications:

• DevOps experience with Google Cloud Platform, AWS, or Azure
• Data quality experience especially using & improving internal tools to automatically detect issues.
• Experience building data pipelines that deal with sensitive information
• Have owned a part of or entire data pipeline at previous position

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Senior Staff AI Scientist - Credit Karma

Category Data

Location
Oakland, California
Job ID 20432

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit Credit Karma seeks a visionary Staff Data Scientist who will revolutionize our recommendation engine in ad technology by harnessing the latest advancements in machine learning and GenAI. As a technical leader and mentor, you will drive the development of next-generation AI-powered monetization strategies, collaborating and communicating with leadership across all lines of business, including their respective engineering, product, partnerships, and analytics teams.

With a strong background in data science and machine learning paired with excellent communication skills, you will architect and implement scalable solutions w/ cross-team alignment that create the best ML-driven experiences for our members, propelling lifetime value and revenue growth for the company and partners. Your expertise will directly impact the direction of data science in facilitating business growth and will influence company-wide strategies - fostering a culture of innovation and operational excellence. You will stay ahead of industry trends, integrating cutting-edge techniques into our tech stack, and mentor team members to achieve exceptional results. Your unique blend of technical acumen, leadership, strategic thinking, and communication skills will make you a driving force in shaping Credit Karma's future.

Responsibilities

• Collaborate with Engineering, Product, and cross-functional teams to architect and implement cutting edge machine learning systems at scale, driving technical strategy and roadmap for AI capabilities
• Present and drive alignment w/ Senior Leadership across all lines of business on ad technology innovations
• Define and execute the technical vision for current and future ML capabilities as it relates to ad recommendations, with a focus on GenAI and Agentic systems
• Design and develop large-scale AI systems, leveraging expertise to evolve current systems and create competitive advantages in ad tech
• Stay ahead of industry trends and challenges, identifying opportunities and risks to inform technical decisions and drive innovation
• Provide technical guidance, mentoring, and oversight to data scientists and engineers, promoting best practices and knowledge sharing
• Exhibit intellectual curiosity, intrinsic drive, decisiveness, and resilience in navigating technical ambiguity and complexity

Qualifications

• MS/PhD in a quantitative discipline (e.g., computer science, machine learning, data science, engineering) with 10+ years of experience in data science, software engineering, or data architecture
• Excellent communication skills with both technical and non-technical audiences, with the ability to collaborate with cross-functional teams and drive innovation
• Proven track record of designing and implementing large-scale machine learning systems, with expertise in scaling AI-powered solutions
• Ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating latest advancements (e.g., GenAI)
• Deep understanding of current ML systems and the ability to evolve them into cutting-edge, innovative, and scalable solutions
• Strong background in programming languages (e.g., Python, Java, C++)
• Strong understanding of operational maturity, industry challenges, and future risks and opportunities in large-scale AI systems

Preferred Qualifications:

• Ad technology and product expertise
• Experience with driving monetization through AI
• Expertise developing GenAI capabilities and supporting tools and infrastructure
• Ability to balance fast paced environments at a large scale company

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $226,000 - $306,000

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Manager 3, Service Builder Platform

Category Software Engineering

Location
Mountain View, California
Job ID 20261

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Service Builder Platform team at Intuit as a manager of managers! Your responsibility will include delivering a platform that developers can use to build highly available and scalable services at a speed that is only possible in the Agentic AI era. We are looking for great people managers and technical leaders to join our team.

Responsibilities

• Lead the team to deliver an innovative and reliable service builder platform.
• Ensure Engineering and Operational excellence of the service builder platform.
• Work with Product Management in identifying customer requirements and prioritizing based on business outcome.
• Work with architects on the design, implementation, rollout and maintenance plans.
• Build world class teams. Motivate, retain and grow engineering talent.

Qualifications

• Proficiency in cloud native technologies, such as Kubernetes, AWS/GCP/Azure, etc.
• Extensive experience in building services and streaming workloads.
• Strong experience applying AI in platform engineering.
• Knowledge of observability toolsets such as Prometheus, Grafana, Splunk, Wavefront, AWS CloudTrails, etc.
• Extensive experience in people management, especially in management of multiple teams.
• Experience in working with global teams across time zones.
• Excellent communication skills, including communication with employees at all levels, customers, stakeholders and senior leadership.
• Excellent team player.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Staff Security Engineer - Credit Karma

Category Security, Risk & Fraud

Location
Charlotte, North Carolina
Job ID 20435

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We’re hiring a Staff Product Security Engineer to lead the design, development and deployment of security capabilities across both traditional application security and AI/ML systems. You’ll build and integrate security tooling leveraging open-source and vendor solutions to strengthen our Secure Development Lifecycle and vulnerability reduction efforts (including SAST, DAST, SCA, secrets scanning, and vulnerability management) while also securing the full AI lifecycle: data ingestion, training/fine-tuning, evaluation, model registry, inference, agentic workflows, and MCP servers/tools.

You’ll partner closely with product engineering, ML engineering, and platform teams to implement scalable controls, define standards, and operationalize continuous assurance across apps and AI systems, covering secure coding practices, supply chain integrity, identity and access controls, runtime protections, and AI-specific risks such as model security, prompt/tool safety, and AI pipeline governance.

Responsibilities

What You’ll Do

• Lead security architecture reviews and threat modeling across apps/APIs/cloud and AI/ML systems (agents, MCP servers, tool integrations, orchestration).
• Implement security controls across the SDLC and AI lifecycle.
• Build “secure-by-default” automation and guardrails (policy-as-code, CI/CD gates, least privilege/sandboxing, provenance verification).
• Own and mature SAST/DAST/SCA and vuln management: tool tuning, pipeline integration, triage, remediation workflows, metrics/SLAs.
• Evaluate and integrate OSS/vendor AppSec and AI security tooling (scanning, secrets, prompt safety, agent runtime monitoring, data leakage controls).
• Deliver reusable secure patterns/SDKs and partner with platform teams on runtime hardening (IAM, secrets, Kubernetes, logging/monitoring, isolation).
• Automate testing for OWASP and AI-specific risks; integrate into release gates and continuous monitoring.
• Define standards aligned with enterprise policy and AISPM-style practices; enable teams and communicate risk/roadmaps to leadership.

Qualifications

What We’re Looking For

• 6+ years in product/application security in large-scale systems.
• Demonstrated experience building or operationalizing security tooling (CI/CD integrations, scanners, policy engines, security automation, detection/monitoring).
• Strong foundation in security architecture, design reviews, and threat modeling for modern cloud-native systems.
• Practical understanding of AI/ML systems and workflows: model development lifecycle, model registry/deployments, evals, vector databases/RAG, and agent frameworks.
• Deep familiarity with common software vulnerabilities (OWASP Top 10) and modern cloud threats; strong ability to communicate risk to engineers.
• Ability to collaborate with software engineers and ML engineers—meeting business goals while enforcing security requirements.
• Experience applying security and compliance frameworks (examples: NIST, ISO 27001/27002 concepts, SOC2 controls, OAuth/OIDC, PCI where relevant).
• Proficiency in one or more: Python, Go, Java, TypeScript/Node, Rust, Scala.

What Would Be Great to See

• Hands-on experience securing agentic workflows, tool calling, function execution, and MCP servers (or similar tool/plugin servers).
• Experience with LLM platforms and deployments (e.g., GPT, Gemini, Claude, Llama) and associated security risks and mitigations.
• Familiarity with AI threat landscape and testing approaches: prompt injection (direct/indirect), tool injection, RAG poisoning, data leakage, jailbreaks, model extraction/inversion risks.
• Experience with provenance and integrity controls: artifact signing, attestations, SBOMs, SLSA-style build practices, model/dataset lineage, registry governance.
• Familiarity with secure model onboarding (third-party/open model risk), license/compliance considerations, and lifecycle governance.
• Exposure to cloud security tooling and environments (e.g., GCP/AWS/Azure), Kubernetes, service mesh, IAM, secrets management (Vault/KMS), OPA/policy-as-code, CI/CD (CircleCI/GitHub Actions), and observability (Splunk).
• Experience designing enterprise-wide security patterns and standards (reference architectures, paved roads).
• Strong cryptography fundamentals and real-world usage (TLS, HMAC, key management, encryption at rest/in transit).

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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Staff AI Scientist - Credit Karma

Category Data

Location
Oakland, California
Job ID 20437

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Credit Karma is looking for a results-oriented and strategically innovative Senior Data Scientist II who is passionate about applying machine learning to address financial challenges for millions of our members. As a technical leader, you will be responsible for driving data-informed decisions and delivering AI-powered recommendation and monetization strategies that help our members achieve their financial goals.

AI plays a ubiquitous role in Credit Karma’s product, serving as the foundation for core machine learning capabilities that drive monetization, personalization, and a value-centric experience to our members. As such, this position necessitates extensive cross-functional collaboration and close partnerships across various departments, including engineering, product, marketing, finance, and analytics.

With a strong background in data science and machine learning paired with excellent communication skills, you will drive innovation in the development and application of AI techniques that power the most relevant financial products including and actionable recommendations at Credit Karma. This role is ideal for someone who combines strong machine learning and AI skills with business acumen and cross-functional collaboration.

Responsibilities

• Partner with colleagues throughout the organization to identify high-impact opportunities to leverage our extensive data to better serve our users
• Responsible for accelerating revenue and engagement advancement through disruptive and continuous improvements in various machine learning models (targeting, marketing campaigns, etc.), feature engineering including user profiles and behavior, personalization, etc.
• Participate research efforts with other team members to explore the frontiers of GenAI, Deep Learning, Recommender systems, and other areas, as they apply to Personal Finance
• Collaborate closely with partner teams to define metrics that quantify various aspects of our business, including but not limited to revenue, engagement, user experience, etc. Provide solid statistical bases in designing experiments.
• Represent Data Science in cross functional meetings and reviews. Be able to translate difficult technical subject matter to business partners
• Represent Credit Karma in external forums such as conferences and meetups, and act as an evangelist for CK team in such forums
• You will work with large scale Machine Learning Models to optimize for Personal Finance Products
• You will be part of a highly impactful team, who are working on large scale projects that directly impact the business and members
• You will experience both personal and professional growth as you encourage growth throughout the team

Qualifications

• MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline
• 7+ years of industrial experience in Data Science, Machine Learning and related areas, ideally in hyper-growth consumer Internet scenarios
• Deep statistical understanding and ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating latest advancements (e.g., GenAI)
• Strong background in programming languages (e.g., Python, Java, SQL)

Preferred Qualifications:

• Experience with driving monetization, member engagement, longer term member value through AI
• Experience working on large scale AI systems with applications across machine learning and generative AI, AI infrastructure, data foundation, and self-serve analytics through DS methods
• Ability to balance fast paced environments at a large scale company
• Ads business and product experience

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $209,500-$283,500

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Staff Software Engineer - Credit Karma

Category Software Engineering

Location
Charlotte, North Carolina
Job ID 20434

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit Credit Karma seeks a seasoned Staff Software Engineer to play a key role in building a comprehensive data model for our Unified Customer Profile, a critical component of Intuit's competitive advantage. With a strong background in data architecture and engineering, you will design and implement scalable data solutions that support multiple use cases across different products or domains. Your expertise will directly impact the direction of engineering teams and influence company-wide data strategies, fostering a culture of innovation and operational excellence. This role carries significant responsibility and visibility—as a Staff Engineer, you’ll be one of the most senior leaders shaping both the technical vision and the culture of our organization. You’ll set the tone, inspire the team, and be a driving force behind our success.

We seek engineers who act decisively and focus relentlessly on delivering practical solutions. If you’re ready to step up, lead with impact, and help define the future, this opportunity is yours.

Responsibilities

• Develop and Conceptualize Data Architecture Capabilities: Design, develop, and own data architecture capabilities for large-scale projects, focusing on data ingestion, processing, storage, and retrieval, while evaluating design and operational cost-benefit tradeoffs within systems.
• Build Unified Customer Profile: Lead the development of a comprehensive data model and services for Credit Karma and Intuit's Unified Customer profile, integrating financial data across multiple sources and systems, ensuring data quality and governance.
• Understand Capability Customers: Collaborate with stakeholders to understand the needs of capability customers, including data scientists, product managers, and business leaders.
• Develop and Drive Data-Driven Roadmaps: Develop roadmaps for data architecture capabilities that align with business objectives and overall technology strategy, influencing engineering, product and cross-functional teams to identify data opportunities and drive impactful business decisions.

• Establish Data Architecture Best Practices: Develop, maintain, and enforce data architecture standards, best practices, and design patterns to ensure consistency and quality across data capabilities

• Enable Seamless Data Integration and Interoperability: Foster data integration and interoperability across Credit Karma and Intuit's systems, enabling seamless data sharing and powering personalized member experiences by solving complex data integration problems using optimal ETL patterns, frameworks, and query techniques.

• Optimize Data Infrastructure for Efficiency: Optimize data pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts, ensuring efficient and effective data integration and processing.
• Mentor and Develop Team Members: Mentor team members by giving/receiving actionable feedback, promoting growth and development.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience with 10+ years of relevant experience.
• Deep understanding of data modeling principles, including schema design and dimensional data modeling, with experience in writing efficient SQL queries.
• Experience with data processing, storage, and querying technologies (e.g., Hadoop, Spark, Flink Streaming, Bigquery, Dataflow, Airflow, Bigtable, Spanner and Dynamo) and object-oriented programming languages (e.g., Python, Java, C++).
• Experience with semantic search (e.g Vertex AI search, AWS cloud search) and knowledge graph (e.g neo4j, ..) to integrate our data with generative AI experiences
• Strong background in data science, with experience identifying data gaps and inconsistencies, and communicating data warehouse plans to internal customers.
• Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering.
• Excellent technical communication skills, with the ability to collaborate with cross-functional teams and drive technical innovation in data engineering.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $202,500 - $272,500

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Software Engineer II, Intuit Credit Karma

Category Software Engineering

Location
Charlotte, North Carolina
Job ID 21545

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit Credit Karma’s Online RecSys team is looking for a Software Engineer. The team is focused on delivering personalized financial recommendations that empower members to make informed financial decisions. Our team develops state-of-the-art recommendation platform, including (but not limited to) deep learning based retrieval and ranking systems for personalized recommendations. You'll work on building and optimizing the backend services that powers these recommendations, collaborating closely with other software engineers, data scientists, and data engineers. This is a role where you can make an impact on how millions of people manage their financial lives.

Responsibilities

• Direct impact on the financial well-being of millions of users by working on a high-scale, always-on recommendation system that is central to Credit Karma’s mission: helping people reach their financial goals
• You'll have lots of opportunity to break new ground, discover and tackle brand new challenges, and make key decisions impacting a large engineering organization
• And, of course, you get all those awesome company perks that you probably already read about

Qualifications

• Proficient in Scala or Java with solid foundation in object-oriented programming, design patterns, algorithms, and system architecture
• Strong problem-solving skills with the ability to work through complex ambiguous challenges and collaborate effectively within a team
• Strong understanding of deployment strategies and production infrastructure needs
• You bring a strong sense of empathy, while still being able to challenge the status quo
• MS/PhD in Computer Science, ML , Information Sciences or related fields is a plus
• Experience with using cloud services and designing distributed systems is a plus

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Charlotte, NC $116,500 - $157,500.

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Senior Staff Product Manager: Partner Platform

Category Product Management

Location
Mountain View, California; San Diego, California
Job ID 20328

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Virtual Expert Platform as a Senior Staff Product Manager, where you will lead the strategy and execution of core platform domains that power partner experiences across Intuit’s ecosystem.

As a leader on the Intuit Partner Platform team, you will own the vision, roadmap, and delivery for critical platform capabilities such as partner onboarding, identity, engagement, integrations, and monetization. You will play a key role in building scalable, reusable platform capabilities that enable seamless partner experiences and drive meaningful customer and business outcomes.

We are looking for a product leader with strong experience in platform and technical product management, deep customer empathy, and the ability to drive execution across multiple teams. You will operate at the intersection of business, customer/partner needs, and technology, partnering closely with engineering and design to deliver high-quality, AI-driven platform solutions.

The ideal candidate has experience building platform capabilities and APIs, driving cross-team alignment, and delivering durable solutions that scale across products and use cases.

Responsibilities

• Define and drive product strategy for a major platform domain or capability area
• Identify and prioritize high-impact customer and partner problems using data and research
• Translate strategy into roadmaps, use cases, and measurable success metrics
• Own end-to-end delivery across multiple teams and services
• Define platform capabilities, requirements, and use cases aligned to broader platform strategy
• Ensure solutions are scalable, reusable, and extensible across products
• Partner with engineering to shape technical approaches and tradeoffs
• Participate actively in technical discussions (APIs, systems, data flows)
• Drive AI-enabled product capabilities within your domain
• Align cross-functional teams (engineering, design, data, GTM) around priorities and outcomes
• Influence roadmaps and decisions across dependent teams and domains
• Balance feature delivery with long-term platform durability and scalability
• Improve processes, tools, and operating models to increase execution efficiency
• Use data to measure outcomes and continuously iterate on product improvements

Qualifications

• 7+ years in product management, designing and delivering world-class products in a Product Management leadership role.
• Experience with Salesforce PRM and related PRM technologies, as well as building partner-facing capabilities at scale.
• Strong technical background, including API platform expertise, with the ability to engage in architecture and design discussions.
• Experience with building and leading high performing teams.
• Has a 'can do' attitude with an entrepreneurial mindset and is comfortable working in a fast-paced, ambiguous environment.
• Demonstrable technical depth in software development - i.e., reading code, architecture and design discussions with strong engagement with engineering and architecture teams. AI/ML expertise/experience a plus.
• Track record of working closely with customers, partners, listening and taking a customer-focused approach to strategy and priorities - passion for the customer
• Demonstrated success in taking a data driven approach and delivering impactful business results.
• Proven experience in defining big visions and inspiring teams to deliver new innovations and impactful products.
• Excellent collaboration skills - leading execution across teams, influencing across organizations.
• Undergraduate degree required; focus in computer science or engineering preferrable; MBA is a plus; equivalent experience will be considered

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 196,500- 266,000

Southern California $ 179,000- 242,500

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Senior Staff Software Engineer - Credit Karma

Category Software Engineering

Location
Charlotte, North Carolina
Job ID 20417

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

• Develop features and improvements for the various consumer facing products at Credit Karma using React and Typescript
• Define and drive the long-term Frontend architecture strategy across multiple product surfaces, ensuring scalability, performance, and maintainability at scale.
• Lead cross-team initiatives to standardize patterns, tooling, testing strategy, and frontend best practices across the organization.
• Integrate AI-powered solutions into both our engineering workflows and member-facing experiences
• Partner with Product, Design, Backend, and Platform teams to influence roadmap decisions and shape technical direction early in the product lifecycle.

Responsibilities

Key responsibilities

• Elevate engineering rigor by improving development workflows, CI/CD practices, observability, and operational excellence for frontend systems.
• Drive the evolution of our design system and component architecture to enable rapid, consistent product development across verticals.
• Proactively identify technical debt and organizational bottlenecks, and lead structured efforts to address them.
• Serve as a multiplier for the team — raising the bar through thoughtful code reviews, architectural guidance, and technical decision-making frameworks.

Qualifications

Minimum Basic Requirements:

• Programming experience with a focus on front end development
• Experience in at least one relevant front-end framework (React, Typescript, Node, JavaScript)
• Strong command of modern HTML and CSS
• A solid foundation in OOP, design patterns, algorithms, programming languages

Preferred Qualifications:

• Proficient in TypeScript
• Experience with GraphQL
• Experience in microservices architecture, messaging patterns, and deployment models
• Experience in API design and building robust and extendable client/server contracts.
• Excitement for leveraging AI-assisted development tools to enhance developer productivity and championing their adoption across the frontend organization.
• Experience scaling frontend teams and processes in high-growth environments.
• Proven ability to mentor senior engineers and develop future technical leaders.
• Demonstrated impact beyond individual contributions — influencing standards, architecture, and engineering culture.
• Strong track record of driving alignment across multiple teams and managing competing priorities.
• Experience balancing product velocity with long-term platform sustainability.
• Comfortable operating in ambiguity and building clarity where none exists.
• Ability to connect frontend architecture decisions to business outcomes and member experience.
• Experience with A/B testing
• Experience building highly integrated and testable systems
• Strong communication and leadership abilities.
• Experience with Agile/Scrum practices.
• Bachelor’s or Masters degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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Staff AI Scientist- Credit Karma

Category Data

Location
Oakland, California
Job ID 21543

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit Credit Karma is looking for a results-oriented and strategically innovative Staff AI Scientist to lead the evolution of our recommendation engines from static eligibility matching to dynamic, intent-aware personalization. You will architect the systems that determine which financial products are shown to 100M+ members, balancing immediate monetization with long-term member trust.

As the Tech Lead, you will drive the technical vision for our user understanding and recommendation stacks. You will mentor junior scientists, set the standard for experimental rigor, and partner with senior leadership and product teams to define the future of our members’ financial journey.

Responsibilities

• Responsible for building and scaling machine learning models that identify user intents, financial journey, engagement patterns, as well as lead the evolution of our recommendation and ranking systems across a diverse ecosystem of financial products
• Serve as the primary technical authority for data science teams. Partner with product to define the multi-year roadmap, ensuring technical feasibility for "Big Bet" initiatives, and collaborate with engineering to ensure modeling advances are matched by scalable, low-latency production infrastructure
• Act as a "Force Multiplier" by setting coding and modeling standards, conducting deep-dive reviews, and fostering a culture of scientific excellence across the organization.
• Impact at Scale: Your models will influence the financial journeys of millions of members, balancing immediate conversion with long-term trust and value.
• Strategic Influence: You will play a key role in defining how Credit Karma prioritizes its diverse ecosystem of financial verticals through data-driven frameworks.
• Technical Growth: You will work with one of the richest datasets in fintech to solve complex problems in multi-objective optimization and predictive modeling.

Qualifications

• MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline
• 7+ years of industrial experience in Machine Learning, with 3 years in a technical lead capacity specifically focused on Ranking, Search, or Recommendation Systems.
• Proven track record of designing and deploying high-scale, multi-stage ranking pipelines in a production environment.
• Exceptional ability to communicate technical complexity to executive leadership and influence stakeholders across product, business and engineering.

Preferred Qualifications:

• Personalization & Ranking: Experience with multi-objective optimization and ranking systems that manage competing business and user goals.
• Lifecycle Modeling: Familiarity with survival analysis, time-series forecasting, or sequence-to-sequence modeling to predict user actions over time.
• Business Acumen: Ability to translate high-level business goals into rigorous mathematical objective functions.
• Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and drive organizational alignment.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $209,500- $283,500

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Senior Machine Learning Engineer- Credit Karma

Category Software Engineering

Location
Oakland, California
Job ID 21548

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit Credit Karma is looking for a results-oriented and skilled Machine Learning Engineer to join

our team, focusing on building and deploying the infrastructure, services, and SDKs enabling

Credit Karma’s Data Science teams to prototype, deploy, score, and monitor predictive models

at scale. The ideal candidate will have expertise in MLOps, big data technologies, software

development, data engineering, deep learning ML frameworks, and is driven to stay current

with the fast moving ML & AI landscape and integrate innovations into our platforms.

Responsibilities

• Training Platform : Design, build, and maintain our Next Generation federated ML Platform - built on Vertex AI and Kubernetes. Contribute to our python SDK, which enables Data Scientists to efficiently develop, define, and deploy no-human-in-the-loop auto-refreshing deep learning and tree-based ML Models.
• ML Features Platform: Design, build, and maintain our feature engineering and feature stores services supporting batch and streaming features - built on Vertex featurestore, Chronon, Databricks Tecton.
• Training Data: Design and build out capabilities supporting training data pipelines and centralized modeling training datasetsm. Integrate labelbox, snorkel, and Intuit’s GenAI and human-backed AI labeling platform.
• Technical Support & Collaboration: Provide technical support for owned products, including performing on-call duties, resolving production site issues, and improving the performance and scalability of services. Collaborate with cross-functional stakeholders to identify high-impact opportunities, translate business and analytical requirements, develop project plans, and report business value.
• Production Deployment and Monitoring: Platform-level monitoring for features, training data, training, and offline batch scoring. Provide utilities and capabilities to enable Data Scientists to do pipeline-level monitoring for training and scoring.

Innovation & Mentorship: Stay current on innovation trends and propose solutions that integrate those back into our platform. Support & mentor other members of our team on current trends, best practices, and their projects.

Qualifications

• MS in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative discipline
• 7+ years of industry experience in Machine Learning, Data Science and related areas, ideally in hyper-growth consumer Internet scenarios
• Deep understanding and ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating latest advancements (e.g. GenAI)
• Strong background in programming languages (e.g., Python, Java, SQL)

• Experience with deep learning frameworks (e.g., Tensorflow, PyTorch)

• Preferred qualifications

• MLOps & Infrastructure: Experience with managing a large-scale platform that services many hundreds of auto-refreshing machine learning models deploying into production with no human-in-the-loop.

• Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and drive organizational alignment.
• Distributed Processing: Experience with high-volume data processing and frameworks like Spark, Dataflow, Dask, Ray.
• Deep Learning: Extensive Experience with deep learning frameworks such as Tensorflow or PyTorch.
• Google Cloud: Experience with managing platforms backed by Google Cloud ML and AI services.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $171,000 - $231,500

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Senior Data Engineer - Credit Karma

Category Software Engineering

Location
Oakland, California
Job ID 21547

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are looking for a Senior Data Engineer to build scalable data and software solutions that power a wide range of use cases across Intuit Credit Karma.

In this role, you will work cross-functionally with Product Management, Data Architects, Data Scientists, Product Analysts, Software Engineers, and other Data Engineers to translate business and product needs into robust, production-grade systems. You will design and develop data warehouses, data models, pipelines, and reusable frameworks, while also contributing to the broader infrastructure and services that enable reliable and efficient data processing and experiment execution at scale.

This is an end-to-end engineering role with a strong emphasis on software engineering fundamentals. Beyond building data pipelines and datasets, you will be expected to apply solid engineering practices to develop scalable, maintainable systems, and contribute to shared platforms.

This role is ideal for engineers who are passionate about building reliable systems with data at the core, and who are interested in growing across both data engineering and software/platform engineering domains

Responsibilities

Build End-to-End Data & Software Systems

• Design and develop scalable, production-grade systems across the data lifecycle, including data ingestion, processing, modeling, and serving
• Build and maintain robust data pipelines (batch and streaming) using modern data technologies
• Apply strong software engineering principles to ensure systems are reliable, testable, and maintainable

Develop Data Products, Models & Frameworks

• Build well-structured, reusable datasets and data models that power analytics, applications, and downstream systems
• Develop and enhance frameworks that enable scalable data processing and reduce duplication across teams
• Contribute to standardizing metrics, data definitions, and modeling patterns

Contribute to Platform & Service Development

• Contribute to both data and service-layer components of the data and experimentation platform
• Collaborate with engineers to improve platform capabilities, scalability, and developer experience
• Support systems that enable reliable experiment execution, metric computation, and analysis at scale

Drive Data Quality & Operational Excellence

• Implement monitoring, alerting, and validation to ensure high data quality and system reliability
• Troubleshoot complex data and system issues, performing root cause analysis and driving resolution
• Continuously improve system performance, scalability, and cost efficiency

Collaborate Cross-Functionally

• Partner with Product Management, Data Architects, Data Scientists, Product Analysts, and Software Engineers to define and deliver data solutions
• Translate ambiguous requirements into scalable technical designs and drive execution end-to-end

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience in software engineering, data engineering, or a related role
• Strong programming skills in at least one language (e.g., Python, Java, Scala), with solid software engineering fundamentals
• Expertise in SQL and strong understanding of data modeling and data warehousing concepts
• Demonstrated success building and maintaining large-scale data pipelines using technologies such as Google Dataflow, BigQuery, Airflow/Composer, Spark, or Flink.
• Experience designing and building scalable data pipelines and distributed systems
• Deep understanding of software development lifecycle best practices, including agile methodologies.
• Excellent communication, collaboration, and stakeholder management skills.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $161,000 - $218,000

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Senior AI Scientist- Credit Karma

Category Data

Location
Oakland, California
Job ID 21544

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit Credit Karma is looking for a Senior AI Scientist to lead the evolution of our financial recommendation engines. In this role, you will be the technical architect behind how we understand, predict, and act on member intent. You will move beyond simple click-prediction to build a holistic map of the member’s financial journey, ensuring that every recommendation—from credit cards to home loans—is perfectly timed and deeply personalized. As such, this role is highly cross-functional and requires tight partnerships with a wide range of functions - including engineering, product, marketing, finance and analytics.

We are seeking a Senior AI Scientist to drive innovation in the development and application of data science techniques that power the most relevant financial products including and actionable recommendations at Credit Karma. This role is ideal for someone who combines strong machine learning skills with business acumen and cross-functional collaboration.

Responsibilities

• Lead the development of large-scale models that predict not just what a member needs, but when they need it across multiple financial verticals
• Build recommendation logic that balances immediate revenue with long-term member trust and lifetime value
• Collaborate closely with partner teams to define metrics that quantify various aspects of our business, including but not limited to revenue, engagement, user experience, etc.

• Represent Data Science in cross functional meetings and reviews. Be able to translate difficult technical subject matter to business partners

• You will solve challenges ranging from Deep Learning and Reinforcement Learning to recommendation and GenAI for Personal Finance Products

• You will be part of a highly impactful team, who are working on large scale projects that directly impact the business and members
• We value scientists who act like owners—identifying problems, proposing solutions, and seeing them through to production

Qualifications

MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline

• 5+ years of experience building and deploying machine learning models in a production environment (ideally in consumer tech, fintech, or e-commerce)
• Expert proficiency in Python and SQL, with deep experience in modern ML/DL frameworks
• Experience with ranking, retrieval, and multi-stage recommendation architectures.
• Proven ability to explain complex AI concepts to non-technical stakeholders and link model performance to business outcomes.

Preferred Qualifications:

• Experience with driving monetization, member engagement, longer term member value through AI
• Experience working on large scale AI systems with applications across machine learning and generative AI, AI infrastructure, data foundation, and self-serve analytics through DS methods
• Experience in an "Ads" or "Marketplace" environment where you manage trade-offs between different product categories.
• Ability to balance fast paced environments at a large scale company

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $180,00 - $243,500

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Senior Staff Product Manager, Communications Inbox

Category Product Management

Location
Mountain View, California; New York, New York
Job ID 20229

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Small businesses are the engine of the global economy, but the survival statistics are grim. Most small businesses don't fail from a lack of skill; they are suffocated by administrative overhead and cash flow bottlenecks. Entrepreneurs want to practice their craft, not manage back-office logistics. At QuickBooks, we are building the financial operating system to change this. By automating bookkeeping, payments, and cash flow, we eliminate the operational grind so owners can focus entirely on fueling their growth.

To achieve this, we treat Product Management as a highly hands-on craft. As a Sr. Staff Product Manager, you will drive product direction through rapid, iterative prototyping and fast learning cycles. You will co-design live with your engineering and design partners and actively use AI to accelerate your daily work.

This role is designed for leaders who thrive on autonomy, speed, and deep collaboration. By working this way, you have the freedom to turn messy problems into tangible solutions immediately. This hands-on approach dramatically accelerates our time-to-market and allows you to take intense pride in architecting a seamless, end-to-end journey that directly improves the financial lives of our customers.

As the Sr. Staff Product Manager for Communications Inbox, you’ll be responsible for bringing to life a new offering within Lead to Cash which solves one of the most critical and foundational problems small businesses facing – staying on top of lead/customer conversations. You’re a perfect fit for this role if you have experience small business products such as project management, CRM or sales tools, customer support domains and you have passion for solving complex problems at the intersection of bringing together data across multiple channels (email, phone, sms, chat, social) and leveraging AI to automate how business manage follow-ups without missing a beat and always looking good in front of their customers.

Responsibilities

• Drive Strategy Through Iteration: Lead product direction through rapid prototyping. Create mockups and concepts early, learn through fast feedback cycles in hands-on working groups, and share your findings to propel the product forward.
• Collaborate Fluidly: Co-design live with your cross-functional partners. Bring a strong, hands-on perspective to both technical and design discussions to foster seamless, dynamic collaboration and eliminate friction.
• Deliver the Holistic Journey: Operate with an intense sense of pride and urgency. Focus on delivering complete, end-to-end outcomes that genuinely solve the customer's core problems, going beyond isolated metrics to ensure a cohesive, impactful user experience.
• Apply an AI-Native Mindset: Use your technical fluency to uncover how emerging technology unlocks net-new customer value, and actively use AI tools to accelerate your own daily workflows and testing cycles.

Qualifications

• Experience: 8+ years of product management experience, with a proven history of launching and scaling successful products.
• Hands-on Execution: A strong track record of conceptualizing, prototyping, testing, and iterating rapidly to drive product vision from idea to reality.
• Technical Fluency & AI Focus: Deep comfort engaging with engineering on technical architecture, combined with a forward-looking approach to utilizing AI in daily product development.
• Boundaryless Collaboration: Demonstrated ability to work fluidly across disciplines, fostering a fast-paced, highly aligned team environment.
• Customer Obsession: A relentless drive to deeply understand the daily operational challenges of small businesses and create elegant, immediate solutions to solve them.
• Education: Bachelor’s degree in Computer Science, Engineering, Business, or a closely related specialized field (an MBA or advanced degree is preferred). Equivalent experience will be considered.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $ 205,500- 278,000
New York $205,000- 277,500
References
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1. https://www.intuit.com/careers/benefits/full-time-employees/
Mountain View $205500 - $278000
New York $205000- $277500

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Staff Business Systems Analyst

Category Information Technology

Location
Mountain View, California; San Diego, California
Job ID 20048

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Join Intuit as a Staff Business Systems Analyst in Customer Success Modern Operations. Intuit's Customer Success team is transforming the industry with a suite of high-touch professional services powered by data-driven, technology-led operations and a distributed professional workforce.

We are seeking an experienced, strategic, and collaborative Staff Business Systems Analyst to support a two-sided professional network at scale. In this critical role, you’ll be responsible for tackling complex business problems and driving new innovations with end-to-end accountability to ensure that we execute with quality. You will engage senior leaders in a highly matrixed organization, consistently show a bias for action driving execution and above all, delivering delightful experiences to our customers.

You will have the opportunity to help lead Intuit in its transformation to industry-leading service operations technologies and platforms.

Collaborates with a team of top engineers, designers, product managers, analysts and Customer Success business partners to define and enable long term capability strategies that align with Intuit’s strategic goals.

Responsibilities

* Analyzes complex business problems to be solved through process automation, re-engineering, and strategic analysis of business processes; proactively seeks data to build business cases, influences effectively, and presents logically.

* Defines detailed business requirements to deliver on strategic objectives, gathers end user feedback and incorporates into solution design and development.

* Contribute to Business Process Reengineering (BPR) initiatives within the team, supporting the implementation and optimization of processes.

* Drives the development and implementation of AI-powered solutions to address business challenges and enhance operational effectiveness, leveraging and demonstrating AI in day-to-day work to drive efficiencies.

* Moves fluidly between high-level strategy and execution; confident giving a presentation to Sr Leadership as well as running a meeting with users and technical SMEs

* Has an innate curiosity and willingness to dive deep into a complicated platform product, identifies and documents how any underlying system connects, while identifying gaps and automation requirements

* Provides technical expertise in identifying, evaluating and developing systems and procedures that are cost effective and meet user requirements. Creativity and iteration are key.

* Drives work with urgency, moves teams forward, leaps over barriers, bridges over gaps and keeps the business moving

* Support the translation of strategic plans into prioritized initiatives and contribute to their execution.

* Demonstrate steady performance and adaptability amidst uncertainty and aggressive deadlines.

* Engages in continuous learning and seeks mentorship to foster high performance and professional growth within the team.

Qualifications

* Adept at translating complex analysis into actionable business insights, strategically prioritizing, and clearly communicating objectives, plans, status, and results.

* 5+ years of experience in operations within a fast-moving technology-driven organization or a quickly evolving supply chain driven organization

* 2-3 years of top tier management consulting experience preferred

* Experience in Business Process Reengineering (BPR) principles from planning to post-implementation, contributing to problem-solving aligned with business priorities, and a strong understanding of all phases of the Software Development Life Cycle (SDLC).

* Demonstrated ability to understand operating systems holistically and lead the delivery of program portfolios.

* Strong business analysis skills (planning, feasibility assessments, requirements development, testing, problem solving)

* Proficiently use analytics tools to identify patterns, translate data into actionable insights, and leverage data to explore innovation and influence stakeholders.

* Possess experience with AI technologies for process improvement and efficiency gains in BSA processes. Possess advanced knowledge of GenAI technologies and their application to solve business problems.

* Maturity, high judgment, negotiation skills, analytical talent and leadership are essential to success in this role

* Demonstrated ability to work in a matrix environment and ability to both influence and develop strong partnerships at all levels

* Undergraduate degree in a business, technical, or science discipline required; MBA or advanced degree preferred

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California: $164,500 - $223,000

Southern California Area: $147,000 - $199,000

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Senior Staff Software Engineer, Traffic Platform

Category Software Engineering

Location
Mountain View, California; San Diego, California
Job ID 14623

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Join Intuit's Platform & Developer Experience (PDX) group as a Senior Staff Software Engineer focused on developing and scaling the API Gateway platform that powers billions of transactions across Intuit's ecosystem. Intuit's API Gateway is a foundational component of our cloud-native architecture, enabling seamless, secure, and scalable API interactions across microservices.

This team is reinventing how APIs are exposed, governed, and consumed across product teams, and contributes back to open source and industry innovation. We're seeking passionate engineers who thrive on solving tough distributed systems problems, working cross functionally, and driving platform evolution at scale.

If you're excited about joining a fast-paced, innovative, and high-impact team, and are passionate about continuously raising the operational bar of cloud-native platforms, we encourage you to apply.

Responsibilities

• Lead and influence the technical direction of API lifecycle management, including traffic routing, authentication/authorization, rate limiting, and developer onboarding.
• Design, develop, and maintain a highly available, scalable, and secure API Gateway platform.
• Partner with product managers, architects, and other engineering teams to define and deliver platform capabilities.
• Continuously raise the bar for reliability, performance, observability, and operational excellence.
• Mentor engineers across the organization and help define engineering best practices.
• Contribute to and lead open source initiatives aligned with our platform strategy.
• Stay ahead of emerging technologies and architectural patterns in API and traffic management.
  Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Qualifications

• 10+ years of hands-on software development experience.
• Experience building and scaling API Gateway platforms or reverse proxy solutions (e.g., Envoy, NGINX, Kong, Apigeę, AWS API Gateway).
• Deep understanding of Layer 4/7 networking and traffic management concepts (rate limiting, circuit breaking, retries, load balancing).
• Strong experience with Kubernetes, service mesh technologies, and microservices architectures.
• Proficient in Go, Java, or C++, and experience developing high-performance distributed systems.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code practices.
• Experience with API security standards like QAuth2, mTLS, OpenID Connect, and JWT.
• Demonstrated success influencing engineering direction and contributing to open source.
• Strong communication skills and ability to collaborate across diverse teams.
• BS/MS in Computer Science or related technical discipline, or equivalent work experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $214,000.00 - 289,500.00
Southern California,CA: $201,000.00 - 272,000.00

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Senior Staff Software Engineer, Core Platform + Kubernetes

Category Software Engineering

Location
Mountain View, California; San Diego, California
Job ID 19241

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is seeking a Senior Staff Software Engineer to join the Core Platform Engineering Team. The role requires developing and ensuring the seamless functioning and reliability of the Kubernetes Platform across Intuit. The successful candidate will be responsible for managing and maintaining Intuit Kubernetes Services (IKS) platform and next-gen abstractions hosting Intuit flagship products of TurboTax, Quickbooks, Mailchimp, as well as Intuit Platforms such as Identity, API Gateway, and Service Mesh. Responsibilities include all aspects of platform development, deployment, service adoption, configuration, optimization and troubleshooting. The ideal candidate must have expert knowledge of Kubernetes, AWS, AI driven platform engineering, cloud native design patterns, networking.

Responsibilities

• Applies comprehensive understanding of the business, customer needs to expertly design, develop and implement capabilities, tools and processes that deliver highly available, scalable and reliable customer experiences.

• Utilizes extensive expertise in system engineering, software development, critical thinking, industry best practices, and AI to develop innovative solutions towards building highly available, scalable and reliable platforms.

• Expertly builds, operates, and scales services running on AWS EKS. Collaborates closely with Intuit Product and Platform Development Teams to plan, prioritize and design highly available cloud architectures.

• Contributes to critical platform components and drives operational excellence through automation, observability, and process optimization.

• Troubleshoots complex issues and effectively manages stakeholder expectations through clear communication and proactive updates.

• Participates in on-call and support rotations, driving incident recovery, resolution and Root Cause Analysis (RCA).

• Provides technical leadership by guiding the team on system design and implementation, ensuring best practices are implemented.
• Participates in mentoring junior and senior engineers, promoting an environment of learning and growth within the team.
• Exhibits a high sense of accountability and extreme ownership mindset

Qualifications

• A Bachelor's degree in Computer Science or a related technical field with a focus on Software Development, and Operational Excellence.
• Proven expertise in building and managing Cloud Native Platforms, preferably Kubernetes based.
• 12+ years of experience working in software development, platform engineering, building and managing large-scale systems on AWS.
• 12+ years of solid development experience in building Synchronous and Asynchronous workloads in at least 2 of these languages - Go/Python/Java.
• Strong experience applying AI in platform engineering.
• Experience with the development of applications and services in AWS, leveraging cloud native services and APIs.
• Experience in using java unit testing frameworks like JUnit and Mockito.
• Knowledge of Observability toolsets Prometheus, Grafana, Splunk, Wavefront, AWS CloudTrails, and Micrometer.
• Excellent communication skills and the ability to collaborate effectively.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 214,000.00 - 289,500.00

Southern California $ 201,000.00 - 272,000.00

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Staff Data Scientist- Forecasting

Category Data

Location
San Diego, California
Job ID 19327

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Are you a strategic, data-driven leader who enjoys solving complex, system-level problems? Do you want to shape how platforms and networks scale through advanced analytics and AI-native experiences? If so, we have an exciting opportunity for a Staff Network Capacity Planning within our Intuit Quickbooks family of products and services.
In this role, you will own network capacity planning for an end-to-end capability or a major portion of experiences within a composite application supporting millions of small business customers. You will act as a technical leader and domain expert, applying data science, systems thinking, and AI-driven insights to influence product, technology, and business decisions at scale across Intuit Quickbooks family of products and services.
You will translate business strategy into analytical problems, develop predictive models and KPI frameworks, and drive experimentation and learning at the Business Units and Intuit Group levels. You will also help define analytics and AI standards that scale across the organization.

Responsibilities

Own and evolve network capacity planning strategy for complex, large-scale systems within the Intuit Quickbooks family of products and services.

Translate business strategy into hypotheses, models, and actionable insights that inform leadership decisions. Design and analyze experiments (A/B/n, bandits, causal methods) to inform decision-making

Design and maintain forecasting, capacity, and analytics models using statistical, machine learning, and causal inference methods

Define KPI frameworks and success metrics at the BU and IG levels

Lead end-to-end analytics initiatives, including scoping, execution, and stakeholder alignment

Influence product, technology, and analytics direction as a technical leader and domain expert

Ideate and influence AI-powered solutions and measurement strategies for AI-native experiences

Understand AI architectures (e.g., GenOS, LLMs) and their implications for data, modeling, and customer behavior

Communicate insights clearly and persuasively to senior and executive leaders

Mentor senior analysts and data scientists and help establish analytics standards adopted across Intuit Quickbooks family of products and services.

Qualifications

7+ years of experience in network capacity planning, workforce planning, or operational forecasting with increasing scope and impact

Deep expertise in data science, analytics, or applied statistics

Advanced proficiency in SQL, Python, R, and Generative AI tools

Strong experience with experimentation, causal inference, and KPI development

Demonstrated ability to influence strategy and decisions beyond immediate team

Excellent data storytelling, communication, and stakeholder influence skills

Systems thinking mindset with strong business acume

ntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Southern California $ 185,500- $251,000
References
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1. https://www.intuit.com/careers/benefits/full-time-employees/
San Diego $185500 - $251000

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Manager 2, Software Engineering

Category Software Engineering

Location
New York, New York
Job ID 18130

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Global Business Solutions Group as a Manager 2, Software Engineering. QuickBooks is truly the operating system behind small business accounting and comes in multiple flavors. Be part of the revamped QuickBooks Accountant Mission to drive prosperity for Accounting Firms and the businesses and individuals who rely on them. You will be working with a highly motivated and cohesive team delivering cutting edge capabilities and having fun while doing it.

This role is for individuals who are passionate about software development, fascinated by AI's potential, and driven to solve challenging problems. We are looking for self-motivated, collaborative team members who can brainstorm innovative ideas, focus on delivering MVP solutions, and adapt to an evolving product roadmap.

Responsibilities

·Build high-performing teams by hiring and putting the right people in the right jobs at the right time

·Lead operational excellence to deliver highly available, scalable web applications with utmost attention to quality, security, and performance metrics

·Engrossed in the product, tech, and architecture details to create a feasible, high-quality development plan

·Maintain a day-one mindset, challenge the status quo, and keep an open mindset in the team.

·Experience prioritizing and managing deadlines and deliverables while keeping transparency over rational

·Be transparent with the team members about their evaluations and frequently share progress.

·Remove Barriers so the team can move fast

·Help the team members grow and learn and build an updated growth for each team member.

·Handle pivots and scope changes

·Partner effectively with all team members in the organization to deliver against commitments

·Work cross-functionally with various Intuit teams: product management, various product lines, or business units to drive forward results

·Experience with Agile Development, SCRUM, or Extreme Programming methodologies

·Commitment to team success and positive team dynamics

·Passion for growing and applying technical skills in service to customers

Qualifications

• BS/MS in computer science or equivalent work experience
• 4+ years experience as an established technical leader of software engineering teams that have successfully delivered customer-driven software products
• Demonstrated experience leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective engineering teams
• Adept at articulating the product vision and driving the future roadmap with solid business acumen
• Ability to think and act strategically for all stakeholders
• Possesses strong verbal and written communication skills
• "Self-starter" attitude and ability to make decisions independently
• A helpful, can-do attitude and a willingness to take ownership of problems
• Strong desire to learn and grow
• Excellent problem-solving skills with a history of superb delivery against assigned tasks
• Excellent verbal and written communication skills
• Outstanding partnership skills

Preferred Experience

·Experience developing, maintaining, and innovating large-scale, consumer-facing web applications

·Familiar with the development challenges inherent in highly scalable and available web applications

·Experience with various modern web frameworks

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

New York $ 208,000- 281,500

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Staff Product Manager: Virtual Expert Platform, Connect Team

Category Product Management

Location
Mountain View, California
Job ID 19625

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

At Intuit, our mission is to Power Prosperity Around the World. We do this by creating unique products that deliver exceptional customer value. With iconic brands such as TurboTax, QuickBooks, Credit Karma, and Mailchimp, Intuit serves more than 100 million customers globally.

The Virtual Expert Platform (VEP) team sits at the center of how Intuit connects customers to trusted guidance—through Human Intelligence (HI), AI-powered experiences, and deeply integrated AI + HI workflows. VEP powers a multi-billion-dollar Services business (including QuickBooks Live and TurboTax Live), enhances Customer Success by combining AI with human expertise, and enables Sales and Growth motions by connecting prospects and customers to the right expertise at the right time.

VEP delivers configurable, reusable platform capabilities that connect customers and small- and mid-market businesses to many forms of expertise—ranging from self-help and AI-assisted experiences to live, real-time expert engagement—across all Intuit products. This VEP team manages the capabilities that determine the best way to route a customer to the right expert and expertise and builds and manages various capabilities that support this experience end to end. We are seeking an exceptional platform product manager who brings deep technical experience in building and scaling mission-critical platforms. The ideal candidate is a strategic thinker with strong technical acumen with a track record of delivering enterprise-grade platforms that unlock customer and business value.

Responsibilities

Responsibilites

Craft a platform product strategy in collaboration with the product development (PD), and architecture teams starting from customer requirements and understanding business goals.

Build a short and long term platform vision and roadmap in collaboration with Architecture, PD, and partner team stakeholders.

Manage the product management process from backlog grooming, roadmapping, including initiative and feature prioritization, in collaboration with colleagues from engineering and architecture. Drive the roadmap and execution from MVP to significant scale.

Manage upstream and downstream dependency requests and timelines.

Create product requirement documents based on the strategy, dependencies, long-term vision and customer needs and review and refine it with the architecture and PD team.

Drive technology and functional maturity of reusable platform components.

Communicate and coordinate with the program management team.

Work closely with architects and engineers to design secure and high-scale solutions that are easy for internal teams to integrate and deploy.

Adopt a data driven approach in defining success metrics, prioritizing requirements, and communicating plan, progress and success.

Partner with program management to nail project execution and delivery by managing dependencies and plans across different services and teams.

Spend time with platform end-users to understand their pain points, gather insights on how we can solve big customer problems in a delightful way.

Qualifications

Qualifications

Bachelor's degree in Engineering, Computer Science, or related field.

5+ years of experience in product management or related field.

Deep understanding of product management processes.

Strong written and verbal communication skills.

Track record and prior experience working in platform PM roles, and in delivering platform capabilities that serve enterprise needs.

Proven experience in defining big visions and inspiring teams to deliver new innovations and impactful products, specifically to transform complex, manual processes into automated, self-service platforms.

Demonstrable technical depth in SaaS software development, build/release pipelines, and testing automation strategies. Must have experience with strong engagement with engineering and architecture teams.

A data-curious approach to defining success metrics, prioritizing requirements, and establishing quantitative baselines for process improvements.

AI competency and experience using AI in workflow or process automations.

Track record of working closely with customers and experience working closely with end-users (customers, experts and operators) to understand their pain points.

Excellent collaboration skills and a proven ability to lead execution across teams and influence across organizations.

Domain knowledge in routing technologies, experience in AWS Connect, Twilio and other contact center technologies preferred though not mandatory.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Southern California $ 169,000- 229,000

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Partner Development Sales, Senior Associate

Category Sales

Location
Plano, Texas
Job ID 20300

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are recruiting an experienced sales executive to join Intuit for a full time remote position as a Partner Development Sales, Senior Associate role focused on selling Intuit products and solutions to US Accounting firms.

Intuit provides a comprehensive and robust financial platform for accounting firms and their SMB clients, leveraging cloud technology for workflow automation, integration and powerful AI driven data insights. The ecosystem platform includes:

• Certified financial accounting and reporting, payroll administration, merchant account services, POS, and order to cash and inventory management
• Tax preparation and consulting
• Data insights and industry benchmarking from millions of existing SMBs on the platform
• Extensive integrated partner apps with an open API

Our workflow and client collaboration solution provides efficiencies and insights to help accounting firms consult and advise SMB clients helping them grow their customer base, revenues, improve profitability and reduce technology risks. The enhanced client consulting by the firms using our solution improves firm revenue and profitability per client by as much as 10x and assists in growing their client base. The solution investment for firms and their clients range from a few hundred dollars per year, up to tens of millions, based on the size of the firm’s client base.

Responsibilities

• Our Partner Development Sales, Senior Associate role is responsible for taking prospective US Accounting firms through an end-to-end, formal and consultative sales process resulting in an enterprise decision to adopt our solution and employ a professional services engagement for implementation
• Consultants are responsible for developing relationships with firms currently using competitor and/or legacy desktop products and creating urgency to start purchasing Intuit cloud based solutions.
• This role primarily consists of taking sales meetings scheduled by our Lead Development Representative team in order to lead a discovery conversation with both new and existing accounting and bookkeeping firms located throughout the United States.
• Along with executing the sales process, the Partner Development Sales, Senior Associate is responsible for strategic sales process management via planning, forecasting and maintaining a comprehensive opportunity pipeline leveraging our CRM – Saleforce.com
• This role requires making outbound dials to prospect for new leads as needed
• This role may require assisting with customer inbound calls as needed
• High quality lead generation, nurturing and sales enablement tools are leveraged during all phases of the sales process

Qualifications

• 1+ year of Software Sales experience (Accounting industry experience preferred)
• Experience with selling Cloud Solutions B2B (preferred)
• Strong consultative solution selling skills, Ability to lead complex/long sales cycle, value creation and contract negotiations, Proven enterprise sales experience with history of exceeding sales quota
• Build, Manage and Maintain Strong Sales Pipeline, Strong practical experience in sales methodology, Sales tools/Strategy, Forecasting and Execution
• Excellent presentation skills, demonstrated collaborative skills with ability to influence and work cross-functionally
• Strong knowledge and experience dealing with “C” levels a plus
• Competent and practical usage expertise of Salesforce.com
• Bachelor’s degree (preferred)
• A strong interest and understanding of AI technology is a plus

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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Principal AI Scientist

Category Data

Location
Mountain View, California; San Diego, California
Job ID 16670

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Consumer Group (CG) AI Team as a Principal AI Scientist. The CG AI team focuses on bringing the top-notch AI features to Intuit’s TurboTax customers for their delight. You will get the chance to lead the work to leverage the cutting-edge AI technologies, as well as collaborate across organizations and functions with our partners in the engineering, product management, analytics and design departments to ensure that we are building a pleasant customer experience, striving for more money, less work and complete confidence for our TurboTax customers.

Responsibilities

• Practices leadership and communication skills to influence teams and to evangelize data science across the organization
• Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
• Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
• Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.
• Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
• Communicates with partners to ensure successful delivery and integration of DS solutions.
• Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.

Qualifications

• 10+ years of industry experience with data science
• BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent experience
• 8+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
• Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
• Proficient in NLP techniques, Explainable AI, and ML frameworks.
• Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
• Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
• Quick learner, adaptable, with the ability to work independently in a fast-paced environment
• Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California: $260,500 - 352,500
Southern California: $237,000 - 320,500

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Senior Manager, Trust & Safety Enablement

Category Security, Risk & Fraud

Location
Atlanta, Georgia
Job ID 19251

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

As a Manager 2, Trust & Safety Enablement, you will lead a team of Business Systems Analysts (BSA) and Security & Risk Operations (SRO) analysts responsible for driving technology and process enablement across Intuit’s Trust & Safety organization.

This role sits at the intersection of fraud operations, product, engineering, AI/ML, and platform modernization. You will translate operational fraud challenges (ATO, AOF, content abuse, account opening fraud) into scalable system capabilities that improve investigation quality, reduce fraud leakage, decrease dwell time, and minimize customer friction.

You will partner closely with Engineering, Product, Policy, Analytics, and Customer Success to operationalize next-generation fraud detection and enforcement capabilities — including workflow automation, AI-driven detection, and platform migrations (e.g., Pega, Decision Engine).

This is a highly cross-functional leadership role focused on scaling fraud operations through durable systems, structured processes, and data-driven enablement.

Responsibilities

• Collaborate with Trust & Safety business owners, Engineering, Product, Policy, Investigations and Analytics partners to define and drive long-term capability strategies aligned to fraud prevention and customer trust goals.
• Develop and manage multi-quarter roadmaps for fraud investigation enablement, including workflow automation, AI-driven detection integration, case management tooling, and signal standardization across domains (ATO, AOF, content abuse, account opening fraud).
• Translate operational fraud challenges into end-to-end system requirements, including data integrations across internal and third-party platforms.
• Provide requirements to partner engineering and product teams; drive prioritization and execution across internal and external stakeholders to ensure scalable, durable solutions.
• Gather investigator and stakeholder feedback and incorporate learnings into system design, workflow optimization, and tooling enhancements.
• Ensure fraud detection and investigation data is available, reliable, and actionable to support timely performance analysis and business decision-making.
• Evaluate application functionality, identify gaps in fraud tooling and workflows, and measure solution impact on fraud leakage, dwell time, QA performance, SLA adherence, and customer friction.
• Partner with Data Science and Engineering to integrate AI/ML outputs into investigation workflows and automate high-volume enforcement processes.
• Build compelling, data-backed business cases to support fraud technology investments and process improvements.
• Create visibility into long-term roadmaps, program progress, KPIs, and system performance through stakeholder updates and leadership communications.
• Lead, coach, and develop a team of BSA and SRO analysts; define clear ownership, performance expectations, and development plans aligned to organizational priorities.
• Drive cross-functional alignment to balance fraud mitigation effectiveness with customer experience considerations.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Business, Criminal Justice, or related field; or equivalent relevant experience.
• 4+ years of experience in fraud, trust & safety, security operations, risk management, or related domain.
• 2+ years of experience in a Business Systems Analyst, fraud systems enablement, product systems, or technical program capacity.
• 2+ years of people management experience leading analysts, technical program teams, or operational specialists.
• Strong analytical skills and data-driven mindset with demonstrated ability to define KPIs and translate insights into business priorities.
• Experience developing durable roadmaps (1–3 year outlook) and decomposing strategy into system requirements across enterprise platforms and operational processes.
• Experience partnering with engineering teams in an agile development environment, including backlog grooming, sprint planning, and prioritization.
• Demonstrated ability to balance short- and long-term solutions while prioritizing high-impact work.
• Strong written and verbal communication skills; ability to frame technical discussions for non-technical stakeholders and senior leadership.
• Skilled at creating compelling business cases and influencing cross-functional partners within complex, matrixed organizations.
• Deep customer empathy and understanding of the balance between fraud mitigation and customer experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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Talent Acquisition Manager: Emerging Talent

Category Human Resources

Location
Mountain View, California
Job ID 20096

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

As part of Intuit’s People & Places organization, we are stewards of our greatest strategic asset: our people. Our Talent Acquisition team is made up of world-class talent advisors and operators who thrive in a fast-paced, high-impact environment. We are deeply focused on identifying, assessing, hiring, and mobilizing talent so that Intuit wins — and our employees can do the best work of their lives.

We are seeking a Talent Acquisition Manager to lead Emerging Talent hiring across North America. In this role, you will manage a high-performing team of recruiters responsible for delivering our Intern, Co-op, and Full-Time Early Career hiring across the U.S. and Canada within our Tech Ecosystem — including Engineering, Product Management, Design, AI and other innovation-critical domains.

This role is responsible for the operational leadership and delivery of large-scale, cyclical early career programs, including a 150+ U.S. Summer Intern program, ~50 Canadian Co-op hires across multiple cohorts, and strategic Full-Time Early Career hiring. You will partner closely with senior leaders (Directors, VPs), Finance, HR Business Partners, BizOps, and our Emerging Talent Programs team to align hiring plans to future business needs and deliver exceptional results at scale.

If you are energized by leading teams, driving operational excellence, partnering with senior stakeholders, and delivering high-volume technical hiring with precision and insight — this role is for you.

Responsibilities

Lead and Develop a High-Performing Emerging Talent Team

• Manage, coach, and develop a team of 5 Emerging Talent Recruiters across North America, fostering a culture of accountability, inclusion, and continuous improvement
• Drive performance management, goal setting, and capability development across technical assessment, stakeholder partnership, and consultative recruiting
• Create clarity and focus during peak academic hiring cycles, ensuring seamless execution across interns, co-ops, and early career full-time hiring
• Build operational rigor and consistency in recruiter execution, candidate experience, and hiring manager partnership

Own Delivery of North America Emerging Talent Hiring

• Lead end-to-end delivery of all Emerging Talent hiring across the U.S. and Canada, including:
• 150+ U.S. Summer Intern hires
• ~50 Canadian Co-op hires across multiple annual cohorts
• Full-Time Early Career hiring across technical domains
• Partner with Directors and VPs across the Tech Ecosystem to translate headcount plans into executable hiring roadmaps aligned to academic cycles and graduation timelines
• Drive structured intake and headcount planning processes in partnership with Finance, HRBP, and BizOps to proactively forecast hiring demand
• Ensure hiring plans are operationally sound, capacity-aligned, and delivered on time within defined hiring windows
• Maintain deep understanding of technical skill demands across Engineering, PM, Design, AI/ML and adjacent innovation roles

Drive Data-Driven, Scalable Hiring Excellence

• Own and optimize key funnel health metrics including:
• Interview pass-through rates
• Candidate conversion rates
• Intern-to-full-time conversion
• Offer acceptance rates
• Time-to-fill and hiring velocity
• Diagnose root causes of funnel bottlenecks and implement targeted interventions to improve quality and efficiency at scale
• Leverage AI-enabled operational tools to enhance productivity and speed
• Build structured, repeatable hiring processes that scale across high-volume technical hiring cycles
• Use data insights to influence hiring manager behavior, interviewer calibration, and overall hiring outcome

Partner Across Programs and the Business

• Collaborate closely with the Emerging Talent Programs team to ensure seamless integration between recruiting delivery and intern/co-op program experience
• Provide field insights to inform long-term school strategy, employer branding initiatives, and early talent pipeline investments
• Partner with Talent Marketing to amplify employer brand across priority campuses and technical communities
• Operate as part of One Integrated TA Team, aligning with peer TA leaders to ensure consistency in assessment standards and hiring excellence across Intuit
• Communicate progress, risks, and insights clearly to senior stakeholders, proactively managing expectations throughout the hiring cycle

Qualifications

• Deep experience with the Emerging Talent landscape, owning and supporting scaled early career, campus, intern cyclical hiring programs
• Proven experience leading and developing a high-performing recruiting team (3–7+ recruiters) in a fast-paced, high-volume environment
• Demonstrated success hiring technical talent across domains such as Software Engineering, Product Management, AI/ML, Data Science, Security, Design
• Strong operational leadership skills with the ability to manage complexity across academic timelines, hiring seasonality, and multiple stakeholders
• Highly data fluent with a track record of using funnel metrics and performance insights to improve hiring outcomes
• Experience partnering with Directors and VP-level leaders to align hiring plans with business objectives
• Ability to operate effectively in a matrixed environment, collaborating with Finance, HRBPs, BizOps, Marketing, and Program teams
• Familiarity with AI-enabled tools and a demonstrated ability to leverage technology to drive productivity and innovation
• Strong executive presence, communication skills, and consultative influence
• BA/BS or equivalent experience

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 173,500- 235,000

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Senior Risk and Fraud Policy Analyst - Trust & Safety

Category Security, Risk & Fraud

Location
New York, New York
Job ID 20008

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is seeking a highly motivated, passionate and technically skilled professional to join our Trust and Safety team as a Senior Fraud & Risk Analyst. In this role, you will have the opportunity to blend your expertise in automation, data analysis, and fraud prevention to protect sensitive information, mitigate risk, and enhance Intuit’s enterprise security posture. You will collaborate closely with product managers, engineers, and data scientists to deliver advanced, data-driven solutions that safeguard our customers, partners, and business from fraud and abuse.

The ideal candidate has a strong technical background, including experience writing advanced database queries, developing automation scripts, and creating dynamic data visualizations. You will conduct detailed investigations & research into suspicious activity involving fraud, providing immediate remediation actions, recommending longer-term prevention controls, and preparing comprehensive reports on fraud analysis.

In addition, you will cultivate a deep understanding of Intuit’s various products such as QuickBooks, Tax, Credit Karma, Mailchimp and leverage industry best practices and cutting-edge AI technologies to tackle large-scale fraud challenges such as identity theft, account takeover, and related product abuse. Your efforts will play a vital role in strengthening Intuit’s security stance, ensuring the protection and trust of our customers.

Responsibilities

• Proactively identify areas for improvement in fraud detection, investigation, and prevention processes, making policy recommendations and driving projects to reduce risk to support the business.
• Collaborate with cross-functional teams, including security, compliance, data scientists, engineers, product managers, and legal stakeholders, to understand, document, and assess fraud exposure and risks while developing proactive fraud prevention strategies and mitigation solutions.
• Conduct thorough investigations into suspicious activities and fraud cases, analyzing transaction data, customer behavior, and system activity to identify patterns of misuse, such as identity theft, account takeover, and product abuse, and ensure clear and actionable resolutions.
• Innovate by creating hypothesis and running experiments to prove their value while introducing new capabilities
• Use data analysis and visualization tools (e.g., SQL, Databricks, Tableau, Splunk, Python, spreadsheets etc.) to identify risks, emerging trends, develop and measure controls effectiveness and customer impact.
• Leverage AI tools and industry best practices to innovate fraud prevention processes, optimize problem-solving methods, and drive solutions in a dynamic environment.
• Stay informed of current fraud schemes, vulnerabilities, threats, and cutting-edge technologies, applying this knowledge to improve overall risk management efforts.
• Serve as a subject matter expert on fraud and risk across the organization, accelerating the team, teaching best practices, and effectively communicating findings and recommendations to senior leadership for your fraud and risk domain.
• Participate in the on-call rotation to ensure consistent monitoring and timely responses to fraud incidents and alerts.
• Lead initiatives to document, analyze, and optimize complex fraud analyses, data flows, and business processes to mitigate threats and drive meaningful change.

Qualifications

• 4+ years of direct fraud prevention experience in e-commerce, payments or financial services in fraud management in an enterprise environment (preferred)
• Exceptional analytical abilities, including advanced skills in SQL, data analysis and visualization tools. Machine learning techniques - Advantage
• Ability to analyze large data sets to identify trends, patterns, or irregularities and connect seemingly unrelated information to develop a fraud hypothesis.
• Clear written and verbal communication skills to explain findings to both technical and non-technical stakeholders, present to executive leadership and influence decisions.
• Detail-oriented with excellent organizational skills, accountability, empathy, and the ability to think critically and analytically.
• Experience defining and documenting fraud prevention strategies, operations, and reporting requirements.
• Strong business acumen with a passion to innovate and think “outside the box”.
• Team player with a proven ability to collaborate across organizational boundaries and drive decisions and results through building effective relationships.
• Familiarity with fraud MOs, detection methods and tools and understanding of common fraud schemes.
• Exceptional focus and a keen eye for details on accuracy to catch minor abnormalities in data or processes.
• Proven experience in driving complex projects from end to end with multiple dependencies and stakeholders.
• Bachelor’s degree in a technical or STEM field such as cybersecurity, computer science, MS Degree preferred or equivalent relevant experience

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Principal Data Scientist – Mailchimp Product

Category Data

Location
Mountain View, California
Job ID 20026

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Mailchimp is a core pillar of Intuit’s SMB Ecosystem, enabling millions of small and mid-sized businesses to grow through marketing automation and customer intelligence. As we accelerate toward becoming an AI-driven platform, Product Data Science must evolve to operate at a new level of technical sophistication, scale, and strategic influence.

We are seeking a Principal Data Science Leader to partner with the leadership team and lead the AI transformation of the Mailchimp Product Data Science organization. This leader will modernize how data science is practiced by advancing modeling capabilities, experimentation rigor, generative AI adoption, and scalable decision systems while driving measurable revenue and growth outcomes.

This role requires a proven track record of building durable data science capabilities and production-grade solutions, not just delivering analyses. The ideal candidate will elevate the craft across the organization, establish higher technical standards, and position data science as a strategic force multiplier for product and growth.

Responsibilities

Strategic Leadership & Vision

• Define and lead the multi-year vision for Mailchimp Product Data Science, aligning AI, modeling, and experimentation investments with product strategy and measurable business outcomes.
• Partner with Data Science leadership to transform the function into an AI-native organization by modernizing tools, workflows, technical standards, and scalable decision systems.

Outcome-Driven Product Impact

• Own revenue and growth accountability for data science–driven initiatives, ensuring modeling, experimentation, and AI investments are directly tied to measurable business outcomes and prioritized for maximum impact.
• Lead the rapid development and deployment of predictive models, causal inference frameworks, and LLM-enabled solutions, leveraging modern AI tools to accelerate learning velocity and reduce time from insight to decision.
• Drive a high-speed experimentation culture, balancing rigor with agility, so teams continuously test, learn, and iterate, translating insights into scalable impact with clear post-launch accountability.

Capability Building & Craft Elevation

• Champion and scale durable Product Data Science capabilities by establishing rigorous standards across modeling, experimentation, model governance, and AI-enabled workflows while raising the technical bar through structured reviews, reusable frameworks, and clear quality benchmarks.
• Accelerate adoption of modern AI tools, LLMs, and automation to increase productivity, technical depth, and organizational leverage across the Data Science team.
• Mentor, develop, and retain top data science talent by fostering a culture of ownership, technical excellence, and continuous learning.

Qualifications

• 10+ years of experience in Product Data Science with a demonstrated track record of personally building, shipping, and scaling high-impact models and experimentation frameworks that drove measurable revenue and growth outcomes.
• Proven experience transforming data science practices, establishing modeling standards, experimentation rigor, reusable frameworks, and AI-native workflows across teams.
• Deep technical expertise in SQL and Python, with strong command of statistical modeling, causal inference, experimentation design, and machine learning at production scale.
• Hands-on experience applying LLMs and modern AI tooling to accelerate insight generation, modeling workflows, and decision velocity.
• Demonstrated ability to influence senior cross-functional leaders and drive strategic outcomes without direct authority.
• Strong mentorship track record, with evidence of elevating senior data scientists and raising the technical bar of an organization.

Preferred Qualifications

• Master’s degree or higher in Statistics, Computer Science, Economics, Applied Mathematics, Machine Learning, or a related quantitative field.
• Deep understanding of growth science, customer lifecycle value, segmentation, and personalization at scale
• Experience productionizing AI-driven decision systems in complex product ecosystems.
  Familiarity with multi-product ecosystems and cross-sell and attach strategies within platform businesses.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 240,000- 324,500

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Staff Product Designer

Category Design & User Experience

Location
Mountain View, California; San Francisco, California
Job ID 19692

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join a world-class Lending team to design experiences that power prosperity for small and medium businesses.

As a Staff Product Designer, you’ll play a critical role in shaping the future of our Lending experiences within QuickBooks. You’ll use your expertise in interaction and visual design to simplify complex financial concepts, helping small and medium business owners feel confident and empowered to grow their businesses.

In this role, you will:

Lead design for initiatives across the Lending customer lifecycle (discovery, onboarding, application, activation and servicing).

Translate business goals into user-centered design solutions that drive measurable outcomes.

Collaborate and spark ideas with product managers, engineers, researchers, and data experts who are just as passionate about customers as you are.

Turn complexity into clarity, giving business owners confidence every step of the lending journey.

At Intuit, design isn’t an afterthought. It’s how we deliver trust and delight. We’re seeking a designer who thrives on solving meaningful problems with bold, human-centered design.
If you’re ready to transform the future of Lending experiences and make a lasting impact on millions of small and medium businesses, we’d love to have you on our team.

Responsibilities

• Contribute to input goals that impact the function.
• Assist in planning and developing short-term team goals.
• Facilitate cooperation and agreement among peers and team members for operational decisions.
• Solve complex problems using data and expertise.
• Identify process, tool, and system improvements that may impact other functions.

Qualifications

• Design Craft: Participate in design planning, understand visual presentation and comprehension, and possess expertise in industry-standard design software.
• Design Systems: Create guidance for and apply editorial feedback on designs, demonstrate comprehensive understanding and application of IDS components, and partner with the product design system team for improvements.
• End-to-End Thinking: View work across product suites/experiences, demonstrate a platform mindset, proactively identify consistency opportunities, recognize project overlaps/dependencies, and execute with reuse goals.
• Customer & Market Insights: Contextualize work with market/industry insights, explain design strategy based on industry trends, leverage data/analytical tools for predictions/solutions, lead customer interviews, partner with researchers/designers, and identify/address missing data.
• Data Fluency: Regularly access dashboards, define clear success criteria, leverage quantitative/qualitative data for hypotheses/trends, collaborate with data partners for behavioral insights, partner with Product Development (PD) for clean data, use data for tests/innovations, and communicate data-driven insights to senior leaders.
• Technical Acumen: Understand and partner with PD for common language and existing capabilities, advocate for product quality from concept to code, and understand machine learning models and rule-based technology.
• Business Knowledge: Drive roadmapping/planning conversations and make informed, timely decisions.
• Strategic Impact: Possess a clear POV on craft impact amidst conflicting priorities and develop innovative solutions for business challenges.
• Communication & Partnership: Leverage industry knowledge and strategic insights, present work with polish and confidence, lead effective meetings, represent craft in various situations, grow conflict resolution skills, generate/maintain momentum, and manage stakeholder expectations.
• Coaching & Mentoring: Uplevel others' skills across the function, proactively suggest team-building activities, and participate in hiring (interviewing, sourcing).
• Design Leadership: Lead teams and oversee the execution of multiple medium-to-large scale projects concurrently with high proficiency, and lead design projects for their craft.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California: $179,500 - $243,000

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Senior Staff Software Engineer

Category Software Engineering

Location
New York, New York; Charlotte, North Carolina; San Diego, California
Job ID 19854

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Intuit as a Senior Staff Software Engineer and help us power prosperity around the world. We are looking for engineers that love to take on new challenges, solve tough problems, and have deep empathy for our customers. You’ll work with a small group of passionate engineers, product managers and designers.

This is a pivotal moment in the modernization of finance, and Intuit's Neobanking initiative is at the forefront.

We're building the future of money movement, transforming how small businesses, households and individuals interact with their finances by focusing on instant, free, and unified payment rails.

This is a greenfield opportunity to capture a massive $6 trillion flow of money currently outside of Intuit's ecosystem, connecting platforms like QuickBooks, Credit Karma and TurboTax into a singular, powerful fabric.

If you are a hands-on builder with deep domain expertise in payments, neobanking, or stablecoins, this is your chance to step into a key technical leadership role, and leverage AI to pioneer an open, unified payment network that truly puts the customer first and drives significant business impact.

Responsibilities

Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.

Drives significant technology initiatives end-to-end, including horizontal layers of the architecture.

Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems.

Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment

Executes with a boundaryless mindset and contributes to solutions outsideof their primary area of ownership.

Knowledge of building AI native applications

Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.

Understands evaluation tools to validate and measure the accuracy of solutions.

High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.

Understanding of the latest tools and technologies that apply AI to real-world applications.

Creates robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications

Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems

Team/ Collaboration:

Partners with other groups both inside and outside of Intuit for cross-functional design, development, and integration

Works with cross-functional team members from Architecture, Product Management, and Operations to design, develop, test, and release features

Community:

Contributes to standards, patterns, and best practices that improve the engineering community.

Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements.

Qualifications

Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders

8+ years of experience developing systems/software for large business environments.

5+ years of experience designing complex distributed systems, management products, or business applications.

Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.

Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python

Experience with at least one of the following:

Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)

Back-end technologies like Java, Typescript, Spring, Express (NodeJS)

Prior working experience in a cloud computing environment like AWS/GCP is highly desired.

Prior experience working in teams that have built AI native applications for 1+ years

BS/MS in Computer Science or related area.

Team player possessing strong analytical, problem-solving, and communication skills

Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people

Prefers working in a team and collaborates with other cross-functional partners.

Ability to work effectively in a fast-paced, complex technical environment.

Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)

"Self-starter" attitude and the ability to make decisions independently

Experience driving for results across cross-functional teams while maintaining effective working relationships

Demonstrated ability to work with global teams across time zones

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $ 214,000- 289,500 New York $ 214,000- 289,500 Charlotte $191,000-258,500 San Diego $201,000-272,000

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Staff Data Scientist- Forcasting

Category Data

Location
San Diego, California
Job ID 19327

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Are you a strategic, data-driven leader who enjoys solving complex, system-level problems? Do you want to shape how platforms and networks scale through advanced analytics and AI-native experiences? If so, we have an exciting opportunity for a Staff Network Capacity Planning within our Intuit Quickbooks family of products and services.
In this role, you will own network capacity planning for an end-to-end capability or a major portion of experiences within a composite application supporting millions of small business customers. You will act as a technical leader and domain expert, applying data science, systems thinking, and AI-driven insights to influence product, technology, and business decisions at scale across Intuit Quickbooks family of products and services.
You will translate business strategy into analytical problems, develop predictive models and KPI frameworks, and drive experimentation and learning at the Business Units and Intuit Group levels. You will also help define analytics and AI standards that scale across the organization.

Responsibilities

Own and evolve network capacity planning strategy for complex, large-scale systems within the Intuit Quickbooks family of products and services.

Translate business strategy into hypotheses, models, and actionable insights that inform leadership decisions. Design and analyze experiments (A/B/n, bandits, causal methods) to inform decision-making

Design and maintain forecasting, capacity, and analytics models using statistical, machine learning, and causal inference methods

Define KPI frameworks and success metrics at the BU and IG levels

Lead end-to-end analytics initiatives, including scoping, execution, and stakeholder alignment

Influence product, technology, and analytics direction as a technical leader and domain expert

Ideate and influence AI-powered solutions and measurement strategies for AI-native experiences

Understand AI architectures (e.g., GenOS, LLMs) and their implications for data, modeling, and customer behavior

Communicate insights clearly and persuasively to senior and executive leaders

Mentor senior analysts and data scientists and help establish analytics standards adopted across Intuit Quickbooks family of products and services.

Qualifications

7+ years of experience in network capacity planning, workforce planning, or operational forecasting with increasing scope and impact

Deep expertise in data science, analytics, or applied statistics

Advanced proficiency in SQL, Python, R, and Generative AI tools

Strong experience with experimentation, causal inference, and KPI development

Demonstrated ability to influence strategy and decisions beyond immediate team

Excellent data storytelling, communication, and stakeholder influence skills

Systems thinking mindset with strong business acume

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Southern California $ 179,000- 242,000

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Principal Product Manager, GenAI Advertising Platform (Mailchimp)

Category Product Management

Location
Mountain View, California; Atlanta, Georgia; New York, New York
Job ID 19709

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Vision: AI-First, Outcomes-as-a-Service

At Intuit Mailchimp, we are redefining digital advertising for small and mid-market businesses (SMBs). The real challenge isn’t running ads—it’s achieving predictable growth without complexity.

Our mission is to make world-class advertising as effortless as possible for every SMB. We’re transforming ad creation and optimization into a simple, prompt-driven experience: the business states its goal—“Get 10 qualified leads this week” or “Increase online sales by 20%”—and our Generative AI platform autonomously designs, executes, and optimizes the campaign across channels.

This role is for a visionary Principal who will architect, launch, and scale the platform and AI systems that make this “done-for-you” promise real — turning advanced advertising into something any business owner can do in minutes.

Responsibilities

The Opportunity: Building the Next-Generation Growth Engine

As the Principal PM for the GenAI Advertising Platform, you will own the end-to-end strategy, architecture, and delivery of a unified, outcome-driven advertising system that becomes a central growth pillar for Intuit Mailchimp.

Your Mandate: Architecting the AI-Driven, Done-for-You Advertising Platform

1. Architecting the Autonomous Campaign (GenAI-First)

• Intent-to-Outcome Flow: Design a natural-language, prompt-driven experience that translates simple business goals into complete, optimized campaigns — no manual setup required.
• The Outcome Engine: Build the proprietary GenAI decision system that predicts, executes, and continuously optimizes campaign strategy and spend across channels in real time.
• Generative Creative Flywheel: Create an autonomous system that generates and refines ad copy, visuals, and targeting using live performance data and AI feedback loops.

2. Platform Foundations & Scalable Orchestration

• Unified Abstraction Layer: Architect a single cross-channel framework that abstracts away ad network complexity, enabling fully automated campaign orchestration and reporting from one place.
• AI/ML Infrastructure Partnership: Collaborate with the Marketing Data Platform to design scalable ingestion, feature engineering, and model pipelines that power predictive optimization and self-learning.
• Cross-Channel Execution: Launch end-to-end advertising experiences that support both single-channel execution and AI-orchestrated cross-channel optimization — all behind a “done-for-you” interface.
• Scalability for SMB Growth: Ensure the platform’s architecture scales seamlessly from new entrepreneurs to mid-market businesses running thousands of concurrent campaigns.

3. Principal Leadership & Responsible Innovation

• AI Pod Leadership: Lead a cross-functional “AI Pod” spanning Engineering, Data Science, and Design — driving technical clarity, velocity, and innovation.
• Organizational Influence: Operate as a Group PM, uniting advertising, CRM, commerce, and data initiatives under one AI-first growth ecosystem vision.
• Responsible AI: Champion ethical, transparent, and policy-compliant AI practices that build long-term customer trust.
• Outcome Accountability: Own P&L inputs and relentlessly drive measurable business impact — lowering CPA, improving ROAS, and increasing LTV through automation.’

Qualifications

• 12+ years of product management experience, with 5+ years in AdTech, Marketing Automation, or AI/ML-driven platforms.
• Proven success building and shipping GenAI or autonomous optimization systems leveraging LLMs, diffusion models, or reinforcement learning.
• Deep domain expertise in digital advertising ecosystems, ad APIs, targeting, and attribution.
• Strong technical fluency in data architecture, model lifecycle management, and scalable ML/SLM systems.
• Experience collaborating with data platform and infrastructure teams to operationalize AI for scale.
• Strategic leadership scope: ability to set multi-year product strategy, align executive stakeholders, and mentor senior PMs. Ability to collaborate internal and external to deliver results form 0-1 and to scaled solutions.
• A first-principles mindset and proven ability to simplify complex, technical systems into delightful, intuitive customer experiences.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $ 243,000- 328,500
New York $ 240,000- 325,000
References
Visible links
1. https://www.intuit.com/careers/benefits/full-time-employees/
Mountain View $243000 - $328500
Atlanta, GA $212500- $287500
New York $240000- $325000

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Staff Data Engineer - Trust and Safety

Category Software Engineering

Location
New York, New York
Job ID 18686

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Trust & Safety Data Engineering Team in New York as a Staff Software Data Engineer. We are leveraging big data technologies to develop solutions to detect and combat fraudulent activities initiated by external users across all Intuit’s products. Some of the technologies we are leveraging include Apache Spark, Athena, Redshift, Kafka, Hive, S3, EMR, AWS, and GCP. We foster an open team environment where we value direct interactions and working code above working in a cave.

You will lead the entire product lifecycle for multiple big data solutions that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. Work with Industry Experts; Senior, Staff and Principal Engineers, utilize specialized knowledge to develop, and maintain Intuit’s data solutions.

Responsibilities

• Own the tech vision and strategy for multiple domains or capabilities
• Drive Strategic Impact. Focus on the direct and strategic application of data to deliver measurable business outcomes, even if it means working with imperfect data to capture significant value.
• Hands-on development in all phases of the software life cycle.
• Build batch and real-time/streaming data pipelines that are able to handle large volumes of data
• Design data models
• Gather data needs from internal customers like product and analysts and translate
• those requirements into a working big data solution design.
• Partner with product managers, fraud analysts, data scientists, data architects, software engineers, and other data engineers from around the world.
• Participate in design and code reviews
• Designing/developing ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Spark SQL, PYSpark.
• Rapidly fix bugs and solve problems; effectively remediate defects
• Clean, transform and validate data for use in analytics and reporting
• Proactively monitor data quality and pipeline performance, troubleshoot and resolve data issues
• Collaborate effectively with senior engineers and architects to solve problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience.
• Helps to align to overall strategies and reconcile competing priorities across the organization.
• Contribute to the design and architecture of projects across the data landscape.
• Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies while proactively identifying opportunities to enhance software applications with AI technology
• Participate in a scheduled on-call rotation to handle production incidents outside of business hours
• Mentor other team members and contribute to the growth of the team
• Be available to work in a hybrid mode (3 days in the office and 2 days remote per week)

Qualifications

• 8+ years of hand-on experience building big data solutions and ETL data pipelines using Apache Spark or similar technologies
• BS or MS in Computer Science, Data Engineering or related field
• Hands-on experience developing data solutions on the AWS platform (preferred), GCP, or Azure
• Experience with Agile Development, SCRUM, and/or Extreme Programming methodologies
• Expert in SQL, Python and Linux, and strong working knowledge of XML, JSON, YAML.
• Knowledgeable with tools and frameworks Docker, Spark, Jupiter Notebook, Databricks Notebook, Kubernetes, Feature Management Platforms, SageMaker
• Advanced experience with scripting language – Python or Shell is a must have
• Expert knowledge of software development methodologies and practices
• Experience with cloud platforms such as AWS, Azure or GCP - Amazon web services: EC2, S3, EMR, and Redshift or equivalent cloud computing approaches
• Strong expertise in Data Warehousing and analytic architecture
• Experience working with large data volumes, data visualization
• Experience with low-latency NoSQL datastores (such as DynamoDB, HBase, Redshift) is a plus
• Experience with building stream-processing applications using Spark Streaming, Flink, etc. is a plus
• Hands on experience in AI
• Solid communication skills
• Demonstrated expertise in Software design and architecture process.
• Experience with unit testing and data quality automation checks
• Should be results oriented, self-motivated, accountable and work under minimal supervision.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

New York $197,000- $266,500

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York: $202,500-274,000 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/

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Senior Staff Product Manager - Fintech Onboarding

Category Product Management

Location
Mountain View, California
Job ID 20115

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible. At Intuit, we are building the operating system that allows businesses to get paid faster, access capital, and manage their financial destiny.

Intuit is seeking an experienced and strategic Product Manager to spearhead the end-to-end (E2E) experience for our most complex customers, redefining how large enterprises get access to our financial ecosystem — the platform responsible for money in and money out across Intuit’s product ecosystem.

This platform processes billions of dollars in monthly payment volume and powers critical experiences across QuickBooks, TurboTax, Credit Karma, and Mailchimp.

This Product manager will own the end-to-end enterprise onboarding strategy for financial SaaS application spanning:

• Payments and invoicing systems,
• Bill Pay and and accounts payable workflows,
• Capital lending solutions,
• Payroll processing systems.

This is a high-impact role requiring both operational excellence and strategic vision. The PM will serve as a thought partner to senior leadership on Intuit’s long-term strategy to service large enterprises, defining how complex multi-entity businesses interact with the financial ecosystem.

The Fintech onboarding team builds the foundational infrastructure that enables seamless, secure, and fast access to money movement solutions across Intuit’s ecosystem. We focus on creating scalable, resilient, API-first capabilities that power global growth, optimize performance, and unlock new monetization opportunities across products.

Responsibilities

RESPONSIBILITIES

• Own the strategy and multi-quarter roadmap for onboarding experiences that delight new enterprise users and rapidly orient them to product value.
• Oversee the full acquisition funnel – from awareness to activation – optimizing for conversion, engagement, and first-time user success.
• Experience building a coherent product roadmap for onboarding and related product surfaces. Partner closely with design, engineering and technical architecture teams to define scalable components, reusable services, APIs, and onboarding systems that support current and future product lines for complex businesses.
• Integrate onboarding with broader platform strategy, including personalized UI/UX, dynamic content surfaces, and real-time guidance systems
• Lead discovery work to identify high-leverage opportunities, validate hypotheses with users and data, and define clear success metrics for new features
• Lead experimentation and A/B testing to validate improvements and iterate toward measurable gains in user outcomes.
• Be a central storyteller and facilitator across functions: marketing (acquisition messaging), analytics (measurement and insights), UX/design (experience coherence), and engineering (delivery).
• Partner with data science and engineering teams to identify where AI and machine learning can fundamentally change the value we deliver for complex businesses.
• Build API-first, embeddable platform capabilities that support multiple product lines.
• Partner closely with Engineering, Risk, Compliance, Finance, and business units to ensure secure, compliant, and scalable execution.
• Operate effectively in multi-jurisdiction regulatory environments and embed AML, OFAC, KYC, and sanctions controls into platform design.
• Influence executive stakeholders on strategic investments in global customer onboarding and activation infrastructure.

Qualifications

QUALIFICATIONS

• 8+ years of product management experience in customer onboarding at large-scale payments or fintech platforms.
• Deep expertise in onboarding enterprise clients to financial systems, including:
• Accounting and financial reporting.
• Account Receivables and Account Payable workflows.
• Proven success managing enterprise SaaS or ERP products, ideally in the financial management domain.
• Experience building and scaling user experiences inside complex enterprise SaaS products, ideally in the financial management domain.
• Fluency in regulatory and compliance requirements across multiple jurisdictions.
• Strong executive presence with ability to influence senior leaders on long-term money services strategy.BS or B.Tech required; MBA preferred.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $196,500 - $266,000

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Principal Risk Operations Process Excellence Consultant

Category Program Management & Business Operations

Location
Atlanta, Georgia
Job ID 20066

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Role Overview

Come join Intuit as a Principal Process Excellence Consultant for the Operational Excellence team! In this top-tier individual contributor role, you are the primary architect and governing authority for the process infrastructure across the Risk Operations department. You will define the end-to-end process strategy and serve as the final approver for the design and implementation of new operational frameworks. Leveraging expert-level Six Sigma principles and AI-driven automation strategies, you will ensure our global infrastructure—covering Underwriting, Fraud, and AML—is resilient, compliant, and optimized for intelligent growth.

Responsibilities

Key Responsibilities:

• AI Operations Strategy: Define and lead the roadmap for integrating Large Language Models (LLMs) and Machine Learning into core risk workflows, shifting the organization from manual FIFO processing to AI-enabled value-based prioritization.
• Human-in-the-Loop Architecture: Architect seamless "Human-in-the-Loop" systems where AI handles high-volume, low-complexity triage, allowing our specialist teams to focus on high-exposure, complex investigations.
• Algorithmic Governance: Serve as a key stakeholder in the governance of risk models, ensuring that AI-driven automated decisions are transparent, explainable, and aligned with our compliance and regulatory standards.
• Predictive Process Excellence: Move beyond reactive DMAIC cycles by utilizing predictive analytics and AI to identify potential process bottlenecks or emerging fraud trends before they impact the bottom line.
• Workflow Architecture: Architect and oversee the overhaul of complex workflows, ensuring seamless integration between technical risk tools and human-led Underwriting, Fraud, and AML reviews.
• Process Infrastructure Authority: Serve as the primary architect and final approver for all end-to-end process designs, ensuring that new implementations align with the broader organizational strategy.
• Impact Governance: Review and approve the impact analyses and business cases developed by Process Excellence consultants, ensuring data integrity and strategic alignment.
• Strategic Roadmap Ownership: Champion the multi-year process roadmap to executive leadership, providing the vision for a scalable and compliant Risk Ops infrastructure.
• Complex Problem Solving: Identify systemic opportunities for process change or system improvements across the entire risk organization, focusing on the complexities of money movement and global risk trends.
• Extreme Mentorship: Act as the SME lead for the department, taking time to teach and mentor Consultants and Manager (M2) levels to broaden their risk and business acumen.

Craft Skills & Leadership (Principal Level):

• AI Fluency: Demonstrated ability to bridge the gap between technical data science teams and operational investigators, translating complex model outputs into actionable, frontline process improvements.
• Advanced Process Excellence: The ability to evaluate and document business processes while managing a portfolio of 10+ high-stakes projects, including multi-year strategic initiatives, without the need for manager intervention.
• Risk Business Intelligence: A deep understanding of industry best practices, global risk concerns, and the regulatory environment to ensure our infrastructure survives economic and business shifts.
• Total Ownership: Takes immediate accountability for the outcome of the entire process ecosystem and successfully influences executive partners on the importance of infrastructure investments.

Qualifications

Qualifications:

• Expert Six Sigma Certification: Six Sigma expertise is highly preferred, with a proven history of governing large-scale process transformations.
• Fintech Leadership: 10+ years of experience leading operational excellence in a high-volume financial services environment (Risk, Fraud, or Lending preferred).
• Digital Transformation Experience: Proven track record of leading "Digital-First" transformations, specifically migrating legacy manual operations into AI-augmented or fully automated environments.
• Architectural Vision: Proven ability to design complex, multi-quarter technical and people-based systems that improve operational effectiveness.
• Executive Influence: Exceptional presentation and written communication skills, capable of gaining buy-in for multi-million dollar infrastructure shifts from VP and C-level leadership.
• Analytical Mastery: Sophisticated ability to analyze data and prioritize business problems across a diverse cross-functional landscape.

Additional Qualification:

Digital Transformation Experience: Proven track record of leading "Digital-First" transformations, specifically migrating legacy manual operations into AI-augmented or fully automated environments.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Atlanta, GA: $170,500 $200,609 $230,500

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Senior Staff Product Manager: Consumer Lending Risk

Category Product Management

Location
Mountain View, California
Job ID 19126

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit's is focused on delivering innovative financial solutions to power the prosperity of consumers.

We offer a range of innovative Consumer Fintech products designed to meet diverse financial needs.

We are seeking a seasoned and strategic Senior Staff Product Manager to lead the development and

enhancement of our Risk capabilities across our Intuit Consumer

Group lending portfolio.

This is a critical, high-impact role responsible for the end-to-end product strategy and execution

across the entire Risk lifecycle – encompassing customer acquisition, application processing,

underwriting, ongoing monitoring, and fraud prevention. You will be instrumental in building and

managing innovative, data-driven Risk capabilities that enable sustainable business growth, mitigate

losses from both credit and fraud, and maintain a secure and positive customer experience for users

of our Consumer Group products.

You will collaborate closely with cross-functional teams within Intuit including Engineering, Credit

Policy, Fraud Strategy, Data Science, Operations, Business Development, and other Product

Managers to define the future of Risk management for our Consumer Group lending products.

If you are passionate about leveraging technology and data (including AI/ML) to solve complex Risk

challenges in the consumer lending space, this role is for you.

Responsibilities

• Experience: 8+ years of product management experience, specifically designing and

delivering risk or fraud solutions for consumer lending products, ideally within the FinTech or

financial services industry

• Domain Expertise: Deep understanding of both credit Risk risk domains across the consumer

lending lifecycle: including acquisition, identity verification, underwriting, transaction

monitoring, account management, and collections/loss mitigation Familiarity with modern

risk assessment techniques, including the application of AI/ML for decision-making

• Strategic Thinking: Proven experience in defining product vision and strategy, translating

them into actionable product roadmaps, and influencing long-term direction

• Customer Obsession: A strong track record of working closely with customers and partners,

employing deep empathy, listening skills, and a customer-focused approach to shape

strategy and priorities within the consumer context

• Execution and Program Management: Proficiency in managing complex program/project

deliverables involving multiple teams, dependencies, and timelines Ability to navigate

ambiguity and drive execution from concept (MVP) through to significant scale

• Leadership and Influence: Excellent collaboration skills with a demonstrated ability to lead

execution across diverse teams and influence stakeholders across different functions and

levels of the organization

• Communication: Inspiring written and verbal communication skills, capable of effectively

articulating vision, strategy, and results to audiences ranging from small technical teams to

senior executives and large groups

• Data-Driven: Strong analytical skills and a data-driven approach to decision-making, including

defining success metrics and measuring outcomes for both credit performance and fraud

prevention

• Education: BS or technical degree preferred, or equivalent relevant work experience

Qualifications

• Product Strategy and Vision: Own and drive the product vision, strategy, and roadmap for

Risk capabilities across our Intuit Consumer Group lending portfolio Identify, define, validate,

and prioritize opportunities based on customer needs, business impact, and technical

feasibility

• Thought Leadership: Act as the product thought leader for Intuit Consumer Group Lending

Risk Identify critical customer and business requirements related to both creditworthiness

and fraud prevention, understand business goals, define the desired end-state product

experience, and partner with development teams to design optimal, scalable solutions

• Lifecycle Management: Oversee the product lifecycle for Risk capabilities, including:

• Acquisition and Underwriting: Define strategies and capabilities for accurate identity

verification, robust fraud screening, comprehensive creditworthiness assessment,

streamlined application flows, integration of diverse data sources (traditional and

alternative), and the development/deployment of advanced AI/ML models and rule

engines for both fraud detection and credit decisioning related to Consumer Group

lending products

• Portfolio Management and Monitoring: Develop capabilities for proactive risk

monitoring (both credit and fraud), automated detection of suspicious activity,

dynamic risk-based controls, customer exposure management, and features

supporting account lifecycle events (eg, limit adjustments, refinancing options), as

well as optimizing collections and recovery processes

• Customer Focus: Conduct in-depth customer research, usability studies, and experiments to

deeply understand risk- and fraud-related customer friction points and security needs within

the consumer lending journey Champion the customer perspective throughout the product

lifecycle

• Data-Driven Execution: Define and track key performance indicators (KPIs) and metrics for

both credit performance and fraud mitigation effectiveness against customer needs and

business goals for Consumer Group lending Use data to inform prioritization, communicate

progress, and demonstrate success

• Cross-Functional Leadership: Lead and collaborate effectively within Intuit with Engineering,

Data Science, Credit Policy, Fraud Strategy/Operations, Design, Marketing, and other partners

to ensure successful discovery, development, launch, and iteration of Risk products and

features for Consumer Group lending

• Roadmap Execution: Drive the product roadmap from minimum viable product (MVP) to

significant scale, managing trade-offs and ensuring timely delivery of high-quality

capabilities

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $196,500 - $275,000

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Senior Staff Product Manager: QuickBooks Capital Lending Risk

Category Product Management

Location
Mountain View, California
Job ID 19335

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit QuickBooks is on a mission to power prosperity around the world for small businesses. QuickBooks Capital provides crucial funding to help these businesses grow and thrive. We are seeking a seasoned and strategic Senior Staff Product Manager to lead our Lending Risk capabilities for our current (Line of Credit, Term Loans) and future lending products.

This is a critical, high-impact role responsible for the end-to-end product strategy and execution across the entire credit risk lifecycle – from acquisition and underwriting through portfolio management and recovery. You will be instrumental in building and managing innovative, data-driven Lending Risk capabilities that enable responsible business growth, maximize return on investment (ROI), and enhance customer satisfaction.

You will collaborate closely with cross-functional teams including Engineering, Credit Policy, Data Science, Operations, Business Development, and other Product Managers to define the future of risk management within QuickBooks Capital. If you are passionate about leveraging technology and data (including AI/ML) to solve complex risk challenges and empower small businesses, this role is for you.

Responsibilities

• Product Strategy & Vision: Own and drive the product vision, strategy, and roadmap for Lending Risk capabilities across all QuickBooks Capital lending products. Identify, define, validate, and prioritize opportunities based on customer needs, business impact, and technical feasibility.
• Thought Leadership: Act as the product thought leader for Lending Risk. Identify critical customer requirements, understand business goals, define the desired end-state product experience, and partner with development teams to design optimal, scalable solutions.

• Lifecycle Management: Oversee the product lifecycle for risk capabilities, including:

• Acquisition: Define strategies to accurately assess creditworthiness, expand eligibility (e.g., to non-QBO customers), optimize application flows, and integrate new data sources.

• Offering/Underwriting: Drive the development and deployment of advanced ML models, scalable policy engines, real-time data pipelines, improved operational tooling, and automated underwriting solutions to quickly and accurately offer loan terms.
• Portfolio & Account Management: Develop capabilities for proactive risk monitoring, automated collection triggers, customer-level exposure management, and features like Credit Line Increases (CLI) for LOC.
• Customer Focus: Conduct in-depth customer research, usability studies, and experiments to deeply understand lending-related customer problems and their critical jobs-to-be-done. Champion the customer perspective throughout the product lifecycle.
• Data-Driven Execution: Define and track key performance indicators (KPIs) and metrics to measure the effectiveness of risk capabilities against customer needs and business goals. Use data to inform prioritization, communicate progress, and demonstrate success.
• Cross-Functional Leadership: Lead and collaborate effectively with Engineering, Data Science, Credit Policy, Operations, Design, Marketing, and other partners to ensure successful discovery, development, launch, and iteration of risk products and features.
• Roadmap Execution: Drive the product roadmap from minimum viable product (MVP) to significant scale, managing trade-offs and ensuring timely delivery of high-quality capabilities.Join us at Intuit QuickBooks and make a tangible difference in the success of small businesses!

Qualifications

• Experience: 6+ years of product management experience, specifically designing and delivering lending products, ideally within the FinTech or financial services industry with 5+ years of those years in Product Management specifically within the credit risk/lending domain.

Domain Expertise: Deep understanding of the credit risk domain across the full lending lifecycle: acquisition, underwriting, portfolio management, collections/recovery. Familiarity with modern risk assessment techniques, including the application of AI/ML for decision-making.

• Strategic Thinking: Proven experience in defining product vision and strategy, translating them into actionable product roadmaps, and influencing long-term direction.
• Customer Obsession: A strong track record of working closely with customers and partners, employing deep empathy, listening skills, and a customer-focused approach to shape strategy and priorities.
• Execution & Program Management: Proficiency in managing complex program/project deliverables involving multiple teams, dependencies, and timelines. Ability to navigate ambiguity and drive execution from concept (MVP) through to significant scale.
• Leadership & Influence: Excellent collaboration skills with a demonstrated ability to lead execution across diverse teams and influence stakeholders across different functions and levels of the organization.
• Communication: Inspiring written and verbal communication skills, capable of effectively articulating vision, strategy, and results to audiences ranging from small technical teams to senior executives and large groups.
• Data-Driven: Strong analytical skills and a data-driven approach to decision-making, including defining success metrics and measuring outcomes.
• Education: BS or technical degree preferred, or equivalent relevant work experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $196,500 - $266,000

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Senior Staff Fraud and Risk Analyst - Fintech

Category Security, Risk & Fraud

Location
New York, New York
Job ID 20148

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit’s Consumer Group, including TurboTax, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. We leverage data and insights to innovate and enhance our consumer offerings.

Now, we are expanding our focus to Consumer Lending and banking within the Consumer Group. We are seeking a brilliant and passionate Senior Staff Analyst for Fraud Policy to be a key player in safeguarding our ecosystem and building unwavering trust with our customers focussing on consumer banking products. This isn't just a job; it's an opportunity to be at the

forefront of the fight against fraud in the dynamic world of fintech.

You’ll work closely with fraud strategy, data science, engineering, and customer support teams to ensure we deliver a secure and seamless experience for our customers while minimizing fraud losses and maintaining compliance with applicable regulations.

Responsibilities

Fraud Detection & Investigation

• Monitor alerts and analyze real-time signals to detect suspicious activity (e.g., account takeover, check kiting, synthetic identity, mule activity, ACH fraud, remote access tools).
• Investigate and resolve fraud cases across onboarding, KYC, account funding (e.g., ACH, Plaid, RTP), and account usage stages.
• Leverage fraud tools and external vendor data to review high-risk activity and recommend actions.

Data-Driven Analysis

• Analyze fraud trends and patterns using data analytics tools (SQL, Excel, dashboards) to identify emerging threats or gaps in current detection logic.
• Support creation and tuning of fraud detection rules, machine learning models, and velocity checks in collaboration with fraud strategy and data teams.
• Track key fraud KPIs (e.g., fraud loss rates, false positive rates, return reasons like R05/R10) and prepare reports for stakeholders.

Operational Efficiency & Documentation

• Respond to fraud-related escalations from customer support and other internal teams.
• Assist in refining workflows and automations to improve response time and operational throughput.
• Document fraud scenarios, case investigations, root cause analysis, and preventive actions.

Cross-Functional Collaboration

• Work closely with compliance, risk policy, customer support, engineering, and external vendors.
• Participate in projects related to new product launches, fraud tooling enhancements, and regulatory reviews (e.g., SAR filings support).
• Provide fraud subject matter expertise in discussions related to account security, identity verification, and payment flows.

Qualifications

• 7 years of experience in fraud operations or fraud analytics, preferably in Fintech, NeoBanking, Crypto, or Money Movement space.
• Strong understanding of fraud typologies relevant to consumer financial products (e.g., synthetic identity, phishing/ATO, 1st/3rd party fraud, ACH disputes).
• Experience with fraud tools and platforms (e.g., Alloy, Sift, Ekata, Kount, etc.)
• Proficiency in analyzing fraud data using SQL and/or Excel; familiarity with Looker or other BI tools is a plus.
• Familiarity with banking regulations and fraud return codes (e.g., ACH NACHA rules, Reg E, KYC/AML basics).
• Strong analytical, investigative, and problem-solving skills.
• Excellent communication and documentation skills.

Nice to Have

• Experience in fraud for digital banking, challenger banks, or fintech products.
• Exposure to fraud rules management or machine learning-based detection systems.
• Prior work with ACH return reason codes, dispute handling, or chargeback processes.

If you are ready to take on a high-impact role at the intersection of technology, data, and security, we encourage you to apply. Join us in building a safer and more prosperous future for everyone.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

New York City: $187,000 - $253,000

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Android Staff Engineer

Category Software Engineering

Location
New York, New York
Job ID 19857

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.

At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.

Responsibilities

* Create impactful Android experiences with deep customer empathy, quickly translating insights into mockups, wireframes, and proof-of-concept code

* Act as the technical subject matter expert, mentoring fellow engineers, leading a small team, and solving challenging programming and design problems

* Proactively identify opportunities to enhance software applications with AI technology

* Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes

* Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

Qualifications

* BS/MS in computer science or equivalent work experience

* 7+ years of professional experience with expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications

* Expertise in modern Android technologies such as: Kotlin, Jetpack Compose, Android SDK

* Experience in the Software design/architecture process

* Experience in the entire Software Development Life Cycle (SDLC)

* Experience with web services (consuming or creating) with REST or SOAP

* Excellent communication skills, with the ability to explain complex technical issues to different audiences

* Familiarity with the development challenges that come with highly scalable and available web applications

* Experience with unit testing and Test Driven Development (TDD)

* Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc

* Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance

* Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI

* Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Staff Software Engineer

Category Software Engineering

Location
Mountain View, California
Job ID 19918

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit's mission is to empower global prosperity through innovative products that deliver exceptional customer value. Our iconic brands, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, collectively serve 100 million customers worldwide.

We are seeking a Staff Software Engineer to join the Virtual Expert Platform (VEP) Team. The Virtual Expert Platform provides a suite of capabilities enabling Sales to connect with prospective and existing customers. We are searching for a talented individual with a passion for working with data as a platform, eager to contribute to our industry-revolutionizing journey.

As Intuit's customer base and data volume expand annually, robust data engineering within Data Insights is crucial for managing this growth and facilitating machine learning and data-driven product innovations. We maintain close collaboration with Product, Design, Marketing, and Operations to cultivate seamless experiences for both users and experts. We invite you to join us and contribute to a truly groundbreaking endeavor.

Responsibilities

• Design and develop web applications, data platforms and capabilities, prototypes, or proofs of concept (POCs).
• Engage in hands-on coding, contributing 60-80% to development across all phases of the software life cycle.
• Leverage coding expertise to guide the design and implementation of robust software solutions, addressing critical customer problems with scalability, security, ease of maintenance, and interoperability with numerous other systems.
• Collaborate effectively with peer engineers and architects to contribute to and resolve complex problems spanning respective areas, ensuring end-to-end quality in technology and customer experience.
• Influence and communicate effectively with non-technical audiences, including senior product and business management.
• Serve in a technical leadership capacity: Coach and mentor junior engineers on software engineering best practices, the application of AI to enhance applications, and the development of their technical expertise to ensure efficient and effective outcomes.
• Initiate AI integrations in production and assess their impact on software performance and user satisfaction, utilizing appropriate metrics.
• Actively remain current on industry best practices, disseminate learnings, and experiment with and apply cutting-edge technologies while proactively identifying opportunities to enhance software applications with AI technology.

Qualifications

• 8+ years of relevant experience developing web, software, or mobile applications.
• Experience in architecting E2E ecosystem for analytical and customer centric platforms
• Expert level experience with any of the following Object-Oriented Languages (OOD): Java/J2EE, C#.
• Working Knowledge of XML, JavaScript, JSON, YML and Linux
• Experience with Big-Data and Cloud technologies (AWS, GCP, Hive, Spark, Kafka, SQL, SparkSQL), Cassandra, Redshift, GraphDB, Apache Iceberg), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
• Good knowledge of machine learning and AI
• BS/MS in computer science or equivalent work experience.

Bonus Points:

• Experience with Salesforce or other CRM solutions.
• Knowledge of SQL in a large scale data warehouse or data lakehouse environment such as Spark, Databricks, Presto/Athena/Trino
• Some knowledge of Data Science/Machine Learning
• Knowledge of data visualization tools like Tableau or Qlik Sense

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 197,000- 266,500

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Senior Manager, Trust & Safety Enablement

Category Security, Risk & Fraud

Location
Atlanta, Georgia
Job ID 19251

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

As a Manager 2, Trust & Safety Enablement, you will lead a team of Business Systems Analysts (BSA) and Security & Risk Operations (SRO) analysts responsible for driving technology and process enablement across Intuit’s Trust & Safety organization.

This role sits at the intersection of fraud operations, product, engineering, AI/ML, and platform modernization. You will translate operational fraud challenges (ATO, AOF, content abuse, account opening fraud) into scalable system capabilities that improve investigation quality, reduce fraud leakage, decrease dwell time, and minimize customer friction.

You will partner closely with Engineering, Product, Policy, Analytics, and Customer Success to operationalize next-generation fraud detection and enforcement capabilities — including workflow automation, AI-driven detection, and platform migrations (e.g., Pega, Decision Engine).

This is a highly cross-functional leadership role focused on scaling fraud operations through durable systems, structured processes, and data-driven enablement.

Responsibilities

• Collaborate with Trust & Safety business owners, Engineering, Product, Policy, Investigations and Analytics partners to define and drive long-term capability strategies aligned to fraud prevention and customer trust goals.
• Develop and manage multi-quarter roadmaps for fraud investigation enablement, including workflow automation, AI-driven detection integration, case management tooling, and signal standardization across domains (ATO, AOF, content abuse, account opening fraud).
• Translate operational fraud challenges into end-to-end system requirements, including data integrations across internal and third-party platforms.
• Provide requirements to partner engineering and product teams; drive prioritization and execution across internal and external stakeholders to ensure scalable, durable solutions.
• Gather investigator and stakeholder feedback and incorporate learnings into system design, workflow optimization, and tooling enhancements.
• Ensure fraud detection and investigation data is available, reliable, and actionable to support timely performance analysis and business decision-making.
• Evaluate application functionality, identify gaps in fraud tooling and workflows, and measure solution impact on fraud leakage, dwell time, QA performance, SLA adherence, and customer friction.
• Partner with Data Science and Engineering to integrate AI/ML outputs into investigation workflows and automate high-volume enforcement processes.
• Build compelling, data-backed business cases to support fraud technology investments and process improvements.
• Create visibility into long-term roadmaps, program progress, KPIs, and system performance through stakeholder updates and leadership communications.
• Lead, coach, and develop a team of BSA and SRO analysts; define clear ownership, performance expectations, and development plans aligned to organizational priorities.
• Drive cross-functional alignment to balance fraud mitigation effectiveness with customer experience considerations.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Business, Criminal Justice, or related field; or equivalent relevant experience.
• 4+ years of experience in fraud, trust & safety, security operations, risk management, or related domain.
• 2+ years of experience in a Business Systems Analyst, fraud systems enablement, product systems, or technical program capacity.
• 2+ years of people management experience leading analysts, technical program teams, or operational specialists.
• Strong analytical skills and data-driven mindset with demonstrated ability to define KPIs and translate insights into business priorities.
• Experience developing durable roadmaps (1–3 year outlook) and decomposing strategy into system requirements across enterprise platforms and operational processes.
• Experience partnering with engineering teams in an agile development environment, including backlog grooming, sprint planning, and prioritization.
• Demonstrated ability to balance short- and long-term solutions while prioritizing high-impact work.
• Strong written and verbal communication skills; ability to frame technical discussions for non-technical stakeholders and senior leadership.
• Skilled at creating compelling business cases and influencing cross-functional partners within complex, matrixed organizations.
• Deep customer empathy and understanding of the balance between fraud mitigation and customer experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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Staff Network Engineer

Category Software Engineering

Location
Mountain View, California
Job ID 19897

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

• Improve and introduce best practice procedures, standards and policies.
• Review and implement changes on the network, following Change management process (ITIL)
• Create troubleshooting procedure/documentation to help level1/level2 engineers to perform their job efficiently
• Must have the ability to practice sound judgment in complex, high pressure situations
• Rack, build, and configure network appliances at offices and data centers.

Responsibilities

• Ability to lift up to 50 pounds for short periods of time.
• Experience working with Cisco routers and LAN switches
• Experience working with Cisco SDA architecture and Cisco DNA
• Familiarity with AI/ML concepts for network operations, including predictive analytics and anomaly detection
• Ability to work with AI-driven network automation tools (e.g., Cisco AI Assistant)
• Implementation experience with SDWAN technologies such as Silverpeak
• Experience with Aruba and Meraki wireless
• Advanced experience implementing common routing protocols (e.g. BGP, OSPF, EIGRP)
• Deep understanding of network fundamentals (e.g. TCP/IP, Ethernet, IP Addressing/Subnetting, VLANs, etc).
• Must be comfortable working in a fast-paced environment with shifting priorities
• Very strong oral and written communication skills

Qualifications

• Preferred: Cisco Certifications - CCNP and/or CCIE
• Experience Integrating AI tools for monitoring and anomaly detection
• Experience working with global teams
• Experience with integrating networks from acquisitions
• Knowledgeable with AWS Networking concepts
• Scripting or automation (Python, Ansible, Netbox) highly desired

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 197,000- 266,500

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Staff Product Manager: Virtual Expert Platform, Connect Team

Category Product Management

Location
Mountain View, California
Job ID 19625

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

At Intuit, our mission is to Power Prosperity Around the World. We do this by creating unique products that deliver exceptional customer value. With iconic brands such as TurboTax, QuickBooks, Credit Karma, and Mailchimp, Intuit serves more than 100 million customers globally.

The Virtual Expert Platform (VEP) team sits at the center of how Intuit connects customers to trusted guidance—through Human Intelligence (HI), AI-powered experiences, and deeply integrated AI + HI workflows. VEP powers a multi-billion-dollar Services business (including QuickBooks Live and TurboTax Live), enhances Customer Success by combining AI with human expertise, and enables Sales and Growth motions by connecting prospects and customers to the right expertise at the right time.

VEP delivers configurable, reusable platform capabilities that connect customers and small- and mid-market businesses to many forms of expertise—ranging from self-help and AI-assisted experiences to live, real-time expert engagement—across all Intuit products. This VEP team manages the capabilities that determine the best way to route a customer to the right expert and expertise and builds and manages various capabilities that support this experience end to end. We are seeking an exceptional platform product manager who brings deep technical experience in building and scaling mission-critical platforms. The ideal candidate is a strategic thinker with strong technical acumen with a track record of delivering enterprise-grade platforms that unlock customer and business value.

Responsibilities

Responsibilites

Craft a platform product strategy in collaboration with the product development (PD), and architecture teams starting from customer requirements and understanding business goals.

Build a short and long term platform vision and roadmap in collaboration with Architecture, PD, and partner team stakeholders.

Manage the product management process from backlog grooming, roadmapping, including initiative and feature prioritization, in collaboration with colleagues from engineering and architecture. Drive the roadmap and execution from MVP to significant scale.

Manage upstream and downstream dependency requests and timelines.

Create product requirement documents based on the strategy, dependencies, long-term vision and customer needs and review and refine it with the architecture and PD team.

Drive technology and functional maturity of reusable platform components.

Communicate and coordinate with the program management team.

Work closely with architects and engineers to design secure and high-scale solutions that are easy for internal teams to integrate and deploy.

Adopt a data driven approach in defining success metrics, prioritizing requirements, and communicating plan, progress and success.

Partner with program management to nail project execution and delivery by managing dependencies and plans across different services and teams.

Spend time with platform end-users to understand their pain points, gather insights on how we can solve big customer problems in a delightful way.

Qualifications

Qualifications

Bachelor's degree in Engineering, Computer Science, or related field.

5+ years of experience in product management or related field.

Deep understanding of product management processes.

Strong written and verbal communication skills.

Track record and prior experience working in platform PM roles, and in delivering platform capabilities that serve enterprise needs.

Proven experience in defining big visions and inspiring teams to deliver new innovations and impactful products, specifically to transform complex, manual processes into automated, self-service platforms.

Demonstrable technical depth in SaaS software development, build/release pipelines, and testing automation strategies. Must have experience with strong engagement with engineering and architecture teams.

A data-curious approach to defining success metrics, prioritizing requirements, and establishing quantitative baselines for process improvements.

AI competency and experience using AI in workflow or process automations.

Track record of working closely with customers and experience working closely with end-users (customers, experts and operators) to understand their pain points.

Excellent collaboration skills and a proven ability to lead execution across teams and influence across organizations.

Domain knowledge in routing technologies, experience in AWS Connect, Twilio and other contact center technologies preferred though not mandatory.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Southern California $ 169,000- 229,000

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Staff Product Manager - Development Portal Platform

Category Product Management

Location
Mountain View, California
Job ID 19349

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Join the Intuit Platform and Development Xcceleration group as a Staff Product Manager. The Intuit PDX group builds foundational capabilities that developers across Intuit rely on to build and run flagship applications using cloud native technologies in a highly scalable, reliable, and secure manner. Ease of use, scale, and reliability are core attributes of the platforms owned by this organization. Intuit is a strong believer in open source, both as a consumer and a contributor, and actively participates in multiple open source communities including CNCF, Istio, and Argo.

We are seeking a highly experienced Product Manager with a strong technical foundation and deep expertise in platform integration, AI enablement, and scalable systems. The ideal candidate has a proven record of delivering impactful strategies that drive measurable business outcomes and improve developer experiences.

As a Staff Product Manager in the PDX group, you will lead the strategy and execution of an AI powered development portal platform that unifies systems, streamlines workflows, and accelerates knowledge flow across Intuit’s technology ecosystem. You will also ensure that the platform becomes the central hub for the Product Development Lifecycle, providing a unified, personalized, and AI native experience for every technologist at Intuit. This role is well suited for someone passionate about using AI to redefine platform integration and developer productivity at scale.

Responsibilities

• Define and lead the strategy for AI driven platform integration experiences that enhance connectivity, interoperability, and automation across Intuit’s developer ecosystem.
• Drive the evolution of the Development Portal Platform and related AI powered capabilities to unify systems, simplify platform interactions, and deliver intelligent orchestration that improves developer efficiency.
• Develop and scale self serve integration frameworks and AI powered feedback loops that transform usage data into actionable insights, enabling continuous improvement and system optimization.
• Collaborate with cross functional teams across product, engineering, and platform organizations to embed AI assisted workflows, streamline integration processes, and ensure seamless user experiences.
• Leverage AI technologies to automate knowledge management, generate integration documentation, and improve discovery of APIs, code, and related assets across Intuit platforms.

• Define and track key performance metrics to measure the success of integration initiatives, using data driven insights to guide prioritization, product decisions, and roadmap development.

• Demonstrate customer empathy and product leadership by advocating for developer and partner needs, fostering innovation, and advancing Intuit’s AI enabled platform strategy.

Qualifications

• 8 or more years of product management experience with a focus on platform integration, developer platforms, or AI powered systems.
• Strong technical background with deep understanding of AI technologies, system interoperability, and integration architecture.
• Proven success leading cross functional initiatives that enhance connectivity, streamline workflows, and improve developer efficiency at scale.
• Demonstrated expertise in data driven decision making, using metrics, analytics, and feedback loops to prioritize features and measure business impact.
• Exceptional communication and leadership skills, with the ability to influence across teams and explain complex concepts with clarity and confidence.

• Strong customer focus with a passion for building intuitive, intelligent, and high performing platform experiences.

• Undergraduate degree in computer science or a related technical discipline required. Equivalent professional experience will be considered. Advanced degree or MBA preferred.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 180,500- 244,000

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Senior Staff Software Engineer, Core Platform + Kubernetes

Category Software Engineering

Location
Mountain View, California; San Diego, California
Job ID 19241

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is seeking a Senior Staff Software Engineer to join the Core Platform Engineering Team. The role requires developing and ensuring the seamless functioning and reliability of the Kubernetes Platform across Intuit. The successful candidate will be responsible for managing and maintaining Intuit Kubernetes Services (IKS) platform and next-gen abstractions hosting Intuit flagship products of TurboTax, Quickbooks, Mailchimp, as well as Intuit Platforms such as Identity, API Gateway, and Service Mesh. Responsibilities include all aspects of platform development, deployment, service adoption, configuration, optimization and troubleshooting. The ideal candidate must have expert knowledge of Kubernetes, AWS, AI driven platform engineering, cloud native design patterns, networking.

Responsibilities

• Applies comprehensive understanding of the business, customer needs to expertly design, develop and implement capabilities, tools and processes that deliver highly available, scalable and reliable customer experiences.

• Utilizes extensive expertise in system engineering, software development, critical thinking, industry best practices, and AI to develop innovative solutions towards building highly available, scalable and reliable platforms.

• Expertly builds, operates, and scales services running on AWS EKS. Collaborates closely with Intuit Product and Platform Development Teams to plan, prioritize and design highly available cloud architectures.

• Contributes to critical platform components and drives operational excellence through automation, observability, and process optimization.

• Troubleshoots complex issues and effectively manages stakeholder expectations through clear communication and proactive updates.

• Participates in on-call and support rotations, driving incident recovery, resolution and Root Cause Analysis (RCA).

• Provides technical leadership by guiding the team on system design and implementation, ensuring best practices are implemented.
• Participates in mentoring junior and senior engineers, promoting an environment of learning and growth within the team.
• Exhibits a high sense of accountability and extreme ownership mindset

Qualifications

• A Bachelor's degree in Computer Science or a related technical field with a focus on Software Development, and Operational Excellence.
• Proven expertise in building and managing Cloud Native Platforms, preferably Kubernetes based.
• 12+ years of experience working in software development, platform engineering, building and managing large-scale systems on AWS.
• 12+ years of solid development experience in building Synchronous and Asynchronous workloads in at least 2 of these languages - Go/Python/Java.
• Strong experience applying AI in platform engineering.
• Experience with the development of applications and services in AWS, leveraging cloud native services and APIs.
• Experience in using java unit testing frameworks like JUnit and Mockito.
• Knowledge of Observability toolsets Prometheus, Grafana, Splunk, Wavefront, AWS CloudTrails, and Micrometer.
• Excellent communication skills and the ability to collaborate effectively.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 214,000.00 - 289,500.00

Southern California $ 201,000.00 - 272,000.00

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Senior Staff Product Manager, Assisted Growth

Category Product Management

Location
Mountain View, California; San Diego, California; San Francisco, California
Job ID 19994

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are seeking an experienced Senior Staff Product Manager to drive T2S (Traffic to Start) growth for our portfolio of do-it-for-me tax products, including Do it with me, Full Service, and Business Tax. You will be at the helm of a major, high-visibility growth initiative, with the charter to build deeply personalized and intelligent Top-of-Funnel (ToF) customer journeys. Leveraging our rich data, cutting-edge AI, and a world-class team, you will be responsible for driving customer acquisition and product starts.

Responsibilities

• Vision & Strategy: Define and champion a compelling multi-year vision and strategy for a frictionless, hyper-personalized customer acquisition experience that drives customer conversion and revenue.
• AI-Driven Personalization: Lead the charge in ideating, developing, and launching innovative ToF flows. You'll work hand-in-glove with our AI and Data Science teams to build and refine models that dynamically tailor the experience to each user's unique situation and needs, with the goal of driving conversion.
• End-to-End Ownership: Drive the entire product lifecycle from discovery and experimentation to launch and iteration. You will be the single point of accountability for the success of T2S for our assisted tax products.
• Cross-Functional Leadership: Act as the hub in a cross-functional team of talented partners across Design, Engineering, Data Science, AI/ML, and Marketing. You will also be the primary partner to other growth and platform teams, including Credit Karma, Commercialization, TurboTax T2S, and CRM teams, ensuring a cohesive and aligned growth strategy.
• Data-Driven Execution: Instrument, analyze, and own the core metrics for T2S. You will design and run rigorous A/B tests and user studies to generate insights, validate hypotheses, and drive continuous improvement in key business outcomes like conversion and revenue.
• Influence & Collaboration: Build strong alliances and influence roadmaps across the broader Intuit ecosystem, ensuring your strategy aligns with and contributes to a cohesive end-to-end customer journey

Qualifications

• Experience: 5+ years of hands-on product management experience, with a proven track record of shipping multiple successful, large-scale consumer-facing products. Experience with optimizing consumer product flows to drive conversion is a must.
• Strategic Thinking: You can effortlessly structure highly ambiguous customer and business problems along with technical complexity into a clear and well-aligned strategy and direction that can galvanize stakeholders and drive impact quickly.
• Growth Expertise: A deep understanding of and experience with Product-Led Growth (PLG) strategies, A/B testing methodologies, and data-driven product development. You should have a solid history of using data to create more relevant and dynamic user experiences.
• AI & Technical Acumen: You are comfortable and effective working with technical teams. You can engage in deep discussions with engineering and data science leads on topics like system architecture, AI model capabilities, and data infrastructure.
• Customer Obsession: A passion for solving complex and ambiguous consumer problems. Experience in fintech, personal finance, or other domains where user trust and data privacy are paramount is a significant plus.
• Leadership & Influence: Demonstrated ability to lead and inspire multi-disciplinary teams and effectively influence senior leadership and stakeholders across a matrixed organization.
• Marketing Tech: Experience with marketing technology and lead management platforms is a strong plus.
• Education: Bachelor's degree required, preferably in a quantitative or technical field. An MBA is a plus.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 196,500- 266,000

Southern California $ 179,000- 242,500

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Principal Business Systems Solutions Architect

Category Information Technology

Location
Mountain View, California; San Diego, California
Job ID 18936

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Join Intuit's Customer Success organization as a Principal Business Systems Solutions Architect within the highly talented Expert Network BSA team. This role offers end-to-end accountability for designing and implementing technology solutions to transform customer support operations. You will leverage techno-functional expertise to evaluate processes, identify friction points, and develop comprehensive solutions that seamlessly integrate product, platform, and operational capabilities.

As a senior techno-functional leader, you will be responsible for defining an end-state process solution vision, identifying gaps in existing solutions, proposing prioritized initiatives, and evaluating proposed initiatives for alignment with the end-state vision. You will use system design expertise and strategic insight to ensure customer service technologies (like CRM, contact center platforms, AI tools) are leveraged to improve processes and expert/operator/customer experience. We are looking for leaders with strong experience in AI and a track record of leveraging AI for improving efficiencies within business processes.

Responsibilities

• Process Improvement: Analyze customer service workflows and pain points to identify inefficiencies or gaps in existing processes and solutions. Devise improvements by re-engineering processes or introducing new technologies, ensuring alignment with business objectives and improved customer experience.
• System Architecture & Design: Design end-to-end customer service solution architectures, integrating various systems (e.g., CRM software, contact center/telephony, ticketing systems, knowledge bases) to meet business needs. This involves evaluating system footprints and in-flight initiatives to identify gaps and proposing solution blueprints for E2E best-in-class process automation solutions incorporating Intuit’s Expert Platform (VEP) and Intelligent Process Automation (IPA) capabilities.
• Technology Integration: Partner with the software development teams and oversee the integration of multiple tools and systems to work seamlessly within the service environment, such as integrating CRM with AI-driven chatbots and analytics tools. Ensure data flows smoothly between systems and that new solutions are compatible with legacy platforms.
• Automation and AI Integration: Evaluate, propose, and implement emerging AI and automation capabilities in customer service processes to increase efficiency. This may involve deploying chatbots, evaluating intelligent IVR technologies, or Intelligent Process Automation (IPA) to provide last-mile capabilities as an ICS/VEP platform extension.
• Customer (+Expert and Operator) Experience Transformation: Drive projects that transform the overall experience in service channels, ensuring any technology change results in more seamless and positive experiences for customers. Align technical solutions with customer-centric outcomes like higher satisfaction (CSAT), Issue Resolution (IR), faster response times, and personalized service.
• Cross-Functional Coordination: Collaborate with a wide range of stakeholders – from experts and operations teams to software developers and product managers – to ensure all initiatives/solutions contribute to an E2E automated process vision.
• Stakeholder Communication: Act as a liaison between business units and technical teams, explaining complex technical concepts or architectural decisions in clear business terms to executives and customer service leadership. Educate stakeholders on problem origins and present solution options understandably to non-engineers.
• Project Oversight & Leadership: Provide technical leadership throughout the implementation of customer service solutions. Collaborate with development teams or vendors to ensure solutions are built according to design and fit well with the E2E process vision. Troubleshoot issues during deployment and make architectural adjustments as needed.
• Governance, Security & Compliance: Ensure all customer service technology solutions adhere to security policies, data privacy regulations, and industry compliance standards. Incorporate data protection, user privacy, and ethical AI considerations into design, and establish governance frameworks for data usage across integrated systems.
• Continuous Innovation: Stay up-to-date with emerging technologies and trends (e.g., process mapping technologies, new AI capabilities, customer engagement tools) and continuously evaluate their potential benefit for customer service operations. Pilot new tools or develop proofs-of-concept to assess value and drive adoption of innovations.

Qualifications

• Technical Architecture & Systems Integration: Ability to understand and analyze complex systems and diverse technologies. Thorough understanding of architecture principles, APIs, and data integration.
• Customer Service Technology Knowledge: Familiarity with common tools and platforms in customer service operations, including contact center technologies (Amazon Connect, IVR systems, CRM systems, ticketing and helpdesk software, omnichannel communication platforms and VEP). Experience with configuring and optimizing these systems is highly valuable.
• AI and Automation Proficiency: Strong understanding of AI/ML technologies and automation frameworks relevant to customer service, including chatbot frameworks, natural language processing (NLP), machine learning models for predictive analytics, and IPA tools.
• Data Analytics and Monitoring: Ability to work with data analytics tools and interpret service performance data. Proficiency in using dashboards or BI tools (e.g., Power BI, Tableau) to monitor customer service KPIs and identify improvement opportunities.
• Problem-Solving and Troubleshooting: Excellent problem-solving skills to diagnose complex issues in customer service processes and technology footprints and quickly identify solutions.
• Business Acumen and Domain Knowledge: A strong business sense with specific insight into customer service processes and metrics. Understanding customer service workflows (e.g., incident escalation paths, service level agreements, customer journey maps) and key metrics like CSAT, NPS, or average resolution time.
• Effective Communication: Excellent communication and interpersonal skills to convey technical ideas and architectural designs in clear, non-technical language for executives or customer service managers, and to communicate requirements and constraints to developers and IT teams.
• Cross-Functional Collaboration: Ability to collaborate and build consensus across diverse teams, including ICS leaders, PM/PD, data scientists, and vendors. Adeptness at change management.
• Leadership and Project Management: Leadership skills to guide technical teams and drive projects to completion, leading by influence, providing direction to experts, operators, and product managers. Capable of managing project timelines and deliverables.
• Customer-Centric Mindset: A focus on the end-customer’s perspective, with empathy for customer frustrations and a design approach that makes support more intuitive and effective.
• Adaptability and Continuous Learning: Curiosity and willingness to stay updated with emerging technologies and trends (AI, new CX platforms, process/tech best practices), and adaptability to handle shifting requirements or new challenges.
• Experience & Education: Over ten years of professional experience. Hold an undergraduate degree in computer science, information systems, or engineering. An MS, MBA or advanced degree is preferred.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California: $206,500 - $279,500

Southern California: $180,000 - $243,500

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Senior Staff Fraud & Risk Analyst, Risk Governance - Fintech

Category Security, Risk & Fraud

Location
Mountain View, California
Job ID 17930

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is a global platform company that is on a mission to power prosperity worldwide for

consumers, small and mid-market businesses and the self-employed. To achieve this, the

Fintech Risk organization is looking for a strong Staff Fraud and Risk Analyst to expand and

strengthen our first line of defense risk and controls program within Risk Governance.

As a Senior Staff Fraud and Risk Analyst, you will partner with a wide range of cross-functional

teams to understand and document our risks and controls, monitor and test the effectiveness of

risk controls, and/or validate models to ensure a strong first line of defense control environment.

You will deep dive into data and business processes and interact with leaders to showcase end-

to-end controls at various stages of the customer lifecycle, control effectiveness, and/or model

performance. More importantly, you will drive the transformation of governance work to unlock

the power of data and technologies to better serve our business and customers.

Responsibilities

• Understand business processes, risks, and controls quickly and in-depth with a focus on assessing and documenting risks and controls for new offerings and initiatives while building strong relationships with stakeholders in Product, Policy, Data Science, Operations, Accounting, and Compliance
• Drive risk and control assessments, including documentation of process narratives, flows, and control definitions that mitigate risk to be maintained within a GRC tool
• Conduct and/or participate in detailed walkthroughs and inspection testing with cross-functional teams to establish controls and determine effectiveness, identify gaps, and propose recommendations
• Identify, evaluate, and document testing of controls and/or independent validation of models, systematically retaining documents that substantiate testing and validation results according to plans
• Develop polished dashboards and visualization for daily control monitoring capabilities to ensure business processes are working in compliance with risk policies
• Retrieve, analyze, and interpret data from various sources to determine conclusions and/or recommendations
• Deep-dive into problems and resolve issues to drive conversations forward across teams
• Drive remediation efforts, create and track action plans, and support the timely resolution of issues to mitigate control findings or deficiencies with stakeholder groups
• Document and communicate concisely and regularly to non-technical audiences, both in verbal and written presentations
• Create procedures, dashboards, alerts, scripts, and/or other automations leveraging AI and other techniques to increase efficiency and productivity in risk governance processes
• Perform insightful analyses of complex processes or requirements highlighting key trends and areas of focus and demonstrate a strong understanding of their association to risk and controls, policies, and/or models
• Lead and shape functional strategy with proactive strategic initiative development leveraging AI at the business unit level and drive system migrations for the broader program
• Operate independently in ambiguous environments and develop scalable frameworks and analytics capabilities that move the needle at the business unit level
• Provide guidance and mentorship to team members across the team to grow their skills and capabilities
• Follow industry trends to develop strategic solutions that are best-in-class and meet industry standards from a risk governance perspective

Qualifications

• 8+ years of relevant business experience including Risk, Finance, Compliance, Audit, or other related subject areas within a fintech, payment processing, lending, or online banking operations organization
• Bachelor’s degree (Master’s degree preferred) in STEM, Business, Finance, Economics, or related field
• Proficient experience with R, Python, and advanced SQL skills and visualization tools such as Quicksight, Tableau, or others
• Proficient experience with AI
• Clear understanding of risk and controls management, monitoring, testing, and/or model validation methodologies
• Strong project and time management skills with ability to lead, multi-task, and prioritize multiple workstreams independently while delivering effective results
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Team player with proven relationship-building skills and comfortable interacting with different levels of leadership throughout the organization, including executive leadership
• Knowledge of statistical methods, techniques, and formulas to test and determine the reliability and soundness of results
• Experience and passion with automating manual process and streamlining work systematically
• Advanced analytical mindset, business acumen, and a drive/curiosity for continuous learning
• Familiarity with machine learning and artificial intelligence models; knowledge of both theory and application to different use cases is a plus
• Ability to independently demonstrate strong execution and operational excellence, customer-centric outcomes, and acceleration of teams
• Prior leadership and strategy development experience
• Experience in Fintech with a focus on risk and controls from a money movement perspective is preferred

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area: $193,500 - 261,500

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Security Engineer 2 - Security Event Analysis Team / SIRT

Category Security, Risk & Fraud

Location
Charlotte, North Carolina
Job ID 16002

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are looking for a Security Engineer to join our Security Event Analysis Team (SEAT) within the Security Incident Response Team (SIRT) to help detect, analyze, and respond to security incidents.

The ideal candidate understands the Dynamic Approach to Incident Response framework, the incident management process, the cyber kill chain, attacker methodologies, and MITRE ATT&CK/D3fend frameworks. You should be able to respond quickly to incidents, restore services, and collect and analyze forensic artifacts to identify root causes. In this role, you will collaborate with engineers to enhance incident response capabilities, implement security solutions, and provide guidance and training to other teams.

Responsibilities

• Respond to escalated security events or investigations; coordinate communications across involved teams and execute the Incident Response Plan as appropriate.
• Provide on-call support for critical incidents; deliver timely status updates and incident reports to stakeholders.
• Perform host/network/cloud forensics (disk, memory, logs) and analysis; establish scope, impact, timelines, IOCs, root cause while preserving evidence, and communicate findings throughout the incident(s).
• Analyze SIEM, EDR, and platform logs; correlate signals to validate and triage threats.
• Partner with Detection Engineering to create/tune detections and automate response actions from incident lessons learned.
• Collaborate with Compliance, Legal, and Risk teams to integrate incident response workflows with business and regulatory needs.
• Assess vulnerabilities, propose remediation strategies, and keep up-to-date on current and emerging security trends, threats, and countermeasures.
• Develop, maintain, and continuously improve incident response runbooks and playbooks to drive prompt, compliant actions.
• Present guidance and training on security best practices and incident response to organizational partners, while ensuring alignment with business objectives and compliance requirements.
• Contribute to post-incident reviews and metrics to drive program improvements

Qualifications

• A Bachelor’s degree or higher in Technology, Computer Science, Cybersecurity, or a related field is preferred.
• Possession of industry-recognized professional level certifications such as AWS Security Specialty, CompTIA Security+, CompTIA CySa+, Cisco CCNA, or GIAC certification is advantageous.
• 1-3 years of experience in a dedicated Information Technology role.
• 1-3 years of experience in a security analyst or similar role.
• 1-3 years experience using scripting languages such as bash, powershell, and python.
• Experience performing analysis and detection engineering using Endpoint Detection and Response or Cloud Security Posture Management tools such as Splunk, CrowdStrike Falcon, SentinelOne, and Wiz.
• Proven experience using and defending public cloud services such as AWS, Azure, and GCP (IAM, CI/CD Pipelines, Network Security, DLP).
• Deep understanding of Security Information, and Event Management (SIEM) solutions such as Splunk, Crowdstrike Next-Gen SIEM, and Microsoft Defender.
• Well rounded knowledge of digital forensics technologies and methodologies, as well as expertise in the Security Incident Response Lifecycle according to frameworks like NIST or SANS.
• Comprehensive understanding of computer security fundamentals, including Operating System hardening, basic network protocols, and general knowledge of frameworks such as OWASP, MITRE ATT&CK, NIST, and CIS.
• Strong analytical and problem-solving abilities, with a focus on identifying root causes and assessing risk exposure for a large corporation.
• Exceptional communication skills, both verbal and written, capable of explaining technical details to non-technical audiences and fostering strong stakeholder relationships.
• Self-motivated with the ability to work autonomously, managing tasks effectively and seeking assistance when necessary.
• Proficient in working under pressure in a dynamic environment, prioritizing tasks to meet tight deadlines while maintaining procedural discipline.
• Adaptable and proactive attitude, willing to take on various responsibilities and eager to continuously learn and upgrade skills.
• Proficient understanding of Large Language Models, General Artificial Intelligence tools and their application in enhancing security operations, threat detection, and incident response.

Nice to Have:

• Research, Publications, Code Repos, Talks, Community Involvement

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Staff Software Engineer

Category Software Engineering

Location
Mountain View, California
Job ID 19048

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the QuickBooks Online team in the Small Business AI Group at Intuit to help us manage & scale our flagship products to accelerate agentic AI journey. We are looking for a passionate engineer with experience in AI, engineering and other Cloud Native compute technologies. This position will be responsible for designing, developing, building, integrating, delivering AI experiences for small businesses around the world.

Responsibilities

• 8+ years experience designing and developing web applications
• 3+ years experience building and operating public cloud infrastructure solutions, AWS preferred.
• BS/MS in computer science or equivalent work experience.
• Expertise with Java, Kotlin, Python, Kubernetes, Docker, Jenkins, Maven/Gradle
• Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
• Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python, Agentic AI, Vector Search
• Expertise with AWS, Oracle, PostgreSQL, DynamoDB, REST, GraphQL.
• Hands on experience with Amazon web services: EC2, OpenSearch (or ElasticSearch), Aurora PostgreSQL, CloudWatch, CloudFormation, Apache Flink or Apache Spark
• Operational excellence: minimize costs and maximize uptime/availability
• Excellent communication skills: demonstrated ability to explain complex technical topics in an engaging way to both technical and non-technical audiences, both written and verbally
• Strong leadership experience: leading meetings, driving small teams, providing technical customer support, coordinating cross-functional alignment, evangelizing vision, building an inclusive and high-performance culture, attracting and retaining key talent
• Strategic mindset: influences the team and platform’s short and long-term strategy for maximum business impact
• Driven, motivated team player with a Get Stuff Done mentality!

Qualifications

• Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
• Understands evaluation tools to validate and measure the accuracy of solutions.
• High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.
• Understanding of the latest tools and technologies that apply AI to real-world applications.
• Knowledge of building AI native applications
• Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems
• Roughly 75% hands-on coding
• Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
• Generate technical documentation and presentations to communicate architectural and design options, and educate development teams and business users
• Resolve defects/bugs during QA testing, pre-production, production, and post-release patches
• Work cross-functionally with various Intuit teams including: product management, analysts, data scientists, and data infrastructure
• Attend on-call rotations, resolve incidents and use the learnings to improve overall application design
• Conduct design and code reviews - create technical documentation
• Estimate and sequence of individual activities as inputs to project plans
• Analyze and synthesize a variety of inputs to create software and services.
• Identify dependencies as inputs to project plans
• Collaborates effectively with peer engineers and architects to solve complex problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 197,000- 266,500

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Android Software Engineer 2

Category Software Engineering

Location
New York, New York
Job ID 20114

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We’re on an entirely AI-led mission to help our customers prosper — making money Modern, Instant, Borderless, Fiat or Stablecoin. But we’re not just delivering AI to customers. We’re building an AI-led organization.

Through multi-agent, spec-driven AI development, and methodology frameworks like BMAD, we’re reinventing how software gets built — embedding AI into every stage of the development lifecycle. This is a generational build moment. Our mission is entirely AI-led: to help our customers prosper by making money Modern, Instant, Borderless, whether Fiat or Stablecoin.

We are also transforming into an AI-led organization, not just delivering AI externally. By utilizing multi-agent, spec-driven AI development and methodologies like BMAD, we are reinventing software development, embedding AI into every stage of the lifecycle. This represents a generational opportunity to build.

As a Software Android Engineer 2 (SWE2) at Intuit, you will be responsible for building and maintaining core features within our native Android applications. You will work closely with senior engineers, product managers, and designers to deliver high-quality, customer-facing mobile experiences that are scalable and secure. You are expected to own specific features or capabilities independently and understand their end-to-end impact on the product lifecycle.

Responsibilities

Responsibilities

• Feature Ownership: Independently own and deliver small to medium-sized features end-to-end, ensuring they meet high standards for quality and performance.
• Engineering Excellence: Write clean, maintainable, and well-tested code (Swift) that follows team standards and passes automated quality checks.
• Operational Excellence: Participate in on-call rotations, monitor production health, and resolve defects within defined SLAs (e.g., P0 defects resolved within 1-2 days).

• Collaboration: Partner with Product Management (PM) and Experience Design (XD) to refine user interactions and provide technical feasibility assessments for design decisions.

• Observability: Ensure adequate logging and analytics instrumentation are in place to monitor feature usage and debug issues effectively.

Core Competencies (Builder Culture)

• Customer Obsession: Understand how customers use specific features and work with owners to solve internal and external customer problems.
• Ownership & Accountability: Take full responsibility for assigned features, including design, implementation, and long-term maintenance.
• Innovate & Simplify: Proactively find ways to automate repetitive tasks and simplify existing workflows to improve developer velocity.

Speed as a Habit: Balance high-quality code delivery with the need for rapid releases, using independent judgment to ask for help when blocked.

Qualifications

• Education: BS in Computer Science or a related technical field.
• Experience:2+ years of professional experience in mobile software engineering, with a track record of contributing to native Android applications.

• Technical Skills:

• Proficiency in Kotlin and Java for native Android development.

• Experience with modern UI toolkits like Jetpack Compose and architectural patterns like MVVM.

• Familiarity with standard development tools such as JIRA, Git, and CI/CD pipelines (e.g., Jenkins).

• Communication: Ability to effectively communicate technical pros and cons to both technical and non-technical stakeholders

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

New York $ 136,000- 184,000

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Principal Software Engineer – Dynamic Experiences Platform (Full-Stack)

Category Software Engineering

Location
Mountain View, California
Job ID 13092

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are looking for a Principal Software Engineer to lead the design and implementation of a Server-Driven UI (SDUI) platform that powers cross-platform user experiences across mobile and web. This role spans front-end, back-end, and infrastructure, with a particular focus on developer ergonomics, scale, and performance. You’ll also help define a DSL that allows teams to declaratively build UI and interactions, and build the systems that interpret and deliver those experiences in real-time.

This is a high-impact, cross-cutting technical role — ideal for an engineer who enjoys shaping system architecture, building reusable primitives, and mentoring engineers across domains.

Responsibilities

• Design and implement the core SDUI platform, including schema evolution, layout/interaction models, and runtime execution.
• Own and evolve a custom DSL that declaratively defines UI components and their behavior.
• Build robust, scalable backends (typically BFFs) that drive dynamic UI delivery across platforms.
• Collaborate with mobile, web, and backend teams to deliver cohesive developer and user experiences.
• Lead architectural decisions around full-stack delivery — including caching, versioning, fallbacks, and progressive rendering.
• Set technical direction and establish best practices for system reliability, testing, observability, and developer ergonomics.
• Partner with product and platform teams to prioritize foundational capabilities and longer-term scalability.
  Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Qualifications

• 10+ years of professional experience in software engineering, including full-stack or platform roles.
• Proven expertise in building scalable backends (e.g., BFFs, GraphQL/REST APIs, caching layers).
• Deep experience with at least one major frontend technology (e.g., React, React Native, SwiftUI, Jetpack Compose).
• Strong systems thinking and architecture skills — able to break down complex UX/backend interactions into reusable, extensible building blocks.
• Familiarity with Server-Driven UI paradigms and cross-platform delivery models.
• Solid understanding of DSL design and implementation, including parsing and schema validation.
• Strong programming language fundamentals (e.g., ASTs, interpreters, compilers, metaprogramming).
• Track record of leading initiatives with broad technical scope and multiple stakeholders.
• Strong AI fundamentals and familiarity with working on AI technologies

*Preferred Qualifications:*

• Experience designing or working with custom DSLs, markup languages, or declarative UI systems.
• Exposure to schema evolution, compatibility guarantees, and platform versioning strategies.
• Hands-on experience with mobile frameworks (iOS/Android) and how SDUI maps to native rendering.
• Contributions to open-source UI frameworks or backend platforms.
• Experience building tools or frameworks that improve developer velocity and experience.

Why Join Us

• You'll be at the forefront of transforming how UI is built, delivered, and evolved at scale.
• Opportunity to work across the stack and influence system design from the ground up.
• Join a team that values clean architecture, developer experience, and product velocity.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $254,500.00 - 344,000.00

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Technology Audit Manager

Category Security, Risk & Fraud

Location
Mountain View, California; San Diego, California
Job ID 13094

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit’s Finance team drives business growth and profitability through strategic, financial and operational leadership. Come join the Finance team as a Technology Audit manager with the Internal Audit team. Internal Audit supports the achievement of Intuit’s goals through trusted partnerships, objective risk identification, and innovative audit services.

Responsibilities

As a member of Intuit’s Internal Audit team, collaborate with colleagues and stakeholders to deliver operational, compliance and integrated audits with special emphasis on system implementations, cybersecurity and privacy.

As an individual contributor Technology Audit Program Manager, you will lead technology-focused audits with focus on security and privacy, primarily supporting Intuit’s products and services. You would also be responsible for assessing risks, identifying weaknesses, and recommending improvements to the products and services..

Additionally, You will work with the Engineering, IT, Security, Privacy and other functions of this fast-paced, rapidly changing business, and collaborate directly with key stakeholders to drive assurance and advisory audits. You are excellent at communicating vertically and horizontally across the company and will be comfortable working cross-functionally and providing technical guidance to other teams within Internal Audit.

Core responsibilities include:

• Planning and Execution of Audit, including the development and implementation of internal audit plans. This includes defining the scope, frequency, and methods of audits, considering the importance of processes and previous audit results.
• Lead and guide audit teams. Oversee internal and external (co-sourced) resources to ensure the audit plan is being followed effectively and efficiently, timely and within budget. This involves directing the audit process, ensuring objectivity, and impartiality while maintaining a collaborative engagement model with security and compliance teams across Intuit. .
• Conduct audits in accordance with standards and frameworks to assess controls and their effectiveness. This includes gathering information, reviewing documentation, assessing compliance, and identifying potential non-conformities.
• Prepare and distribute audit reports for internal stakeholders and external regulators. This involves documenting audit findings, observations, and recommendations for improvement. All observations and recommendations have to be socialized across the organization and corresponding management action plans, timelines and resourcing commitments will need to be in place prior to report finalization. Work with cross-functional teams, including IT, security, and other relevant departments, to ensure alignment and effective implementation of control improvements. This includes communicating both verbally and in writing across all levels of the organization prior to report finalization.
• Continuous program improvement. Identify trends, patterns, and potential issues, and use this information to inform future audit plans and control improvements in collaboration with the technical compliance team and other engineering partners. Assist the organization in understanding audit findings and developing corrective actions to address non-conformities.
• Other Key Responsibilities. Stay updated on key technology skills, industry best practices and regulations. Keep abreast of changes to the standards like ISO 27001, NIST and other relevant regulations. Lead and mentor a team of auditors: Provide guidance, training, and support to audit team members. Develop and maintain audit procedures and documentation: Ensure that audit processes are documented and followed consistently.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California: $ 171,500- 231,500

Southern California: $ 165,500- 224,000

Qualifications

• 8+ years of progressive internal audit experience in either Big 4, and/or in SaaS/Fintech industry
• Bachelor’s or Master’s degree in a relevant discipline (e.g. Computer Science) or equivalent experience
• Third party vendor experience, including managing large technology compliance programs in a co-sourced model
• Strong knowledge and hands on experience in auditing platforms that are developed in the AWS cloud environment, utilizing microservices based modern techstack.
• Strong influencing capabilities, including the ability to simplify complex subjects and excellent written, verbal communication, and presentation abilities.
• Experience conducting audits within a complex operational and regulatory environment.
• Extensive program management background, skilled in managing large-scale, company-wide audit initiatives.
• Demonstrated knowledge of technology risks, including direct experience evaluating the effectiveness of cybersecurity, privacy and engineering controls.
• Strong working knowledge of information technology best practices and control frameworks such as ISO 27001, NIST CSF and ISO 42001
• AWS practitioner/associate, CISA or CISSP certifications preferred

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California: $ 171,500- 231,500

Southern California: $ 165,500- 224,000

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Director of Product Management – Martech, Customer Experience Management

Category Product Management, Executive

Location
Mountain View, California
Job ID 17415

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Role

The mission of the Go-to-Market Tech (GTM Tech) organization is to power Intuit's growth through technology-driven go-to-market strategies that deliver transformative experiences for our customers. The Martech – Customer Experiences team plays a critical role in advancing this mission by delivering modern capabilities across Generative AI, Content Management, Experimentation, Privacy and Personalization.

We are looking for a Director of Martech – Customer Experiences to own the strategy, roadmap, and execution of these areas. This leader will shape how Intuit delivers relevant, personalized, and trusted customer experiences at scale.

Responsibilities

• Define and drive strategy for Generative AI applications in Martech, customer-centric content management, experimentation, and personalization.
• Partner across Marketing, Engineering, and BU Product teams to deliver an integrated customer experience ecosystem.
• Lead the evolution of experimentation frameworks and best practices to enable “Experimentation Everywhere.”
• Champion personalization at scale—driving adoption of machine learning and AI capabilities that create tailored, outcome-driven experiences for customers.
• Build and govern scalable, compliant content management capabilities, ensuring speed, quality, and relevance across touchpoints.
• Establish roadmaps and operational models that balance innovation, governance, and efficiency.
• Build, mentor, and inspire a diverse, high-performing team of product managers.
• Communicate vision, priorities, and progress to senior leadership and cross-functional stakeholders.
• Anticipate and manage risks, dependencies, and regulatory considerations, especially in the application of AI.

Qualifications

Qualifications

• 10+ years’ experience in Martech, product management, or digital customer experience leadership roles in technology-driven businesses.
• Proven track record of defining and delivering transformative customer experiences at scale.
• Deep expertise in personalization, experimentation platforms, and content management systems.
• Strong curiosity about Generative AI and compelling point of views on how Marketing will evolve in the world of Generative AI. Hands-on experience building Gen AI applications a big plus.
• Strategic thinker who can connect vision to execution and measure impact through data-driven insights.
• Exceptional communicator with the ability to influence across all levels of an organization.
• Strong leadership skills with experience growing and mentoring high-performing teams.
• Familiarity with privacy, compliance, and governance frameworks in Martech and AI.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Principal Product Manager - Stablecoin

Category Product Management

Location
Mountain View, California
Job ID 17874

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit’s Fintech Platform team is building the future of money movement for millions of consumers and small businesses. We already process hundreds of billions of dollars in transactions across Quickbooks, Mailchimp, TurboTax and Credit Karma.

We are seeking a passionate and experienced Principal Product Manager to join our team. This role is critical in shaping the future of Intuit’s global financial services offerings and requires a strategic thinker who can drive our forward thinking on how crypto and stablecoins can bring prosperity to our customers. You’ll need to define and execute the integration of programmable money into both existing roadmaps, and help our platform think about new bets.

You will bring:

Passion for the future - A genuine enthusiasm for stablecoin and blockchain technologies, with a solid understanding of stablecoins and their real-world impact on the future of global financial services.

Endless curiosity - A deep understanding of the future of commerce and how stablecoins fits into commerce with wallets, agentic commerce, and money movement.

Customer oriented - Ensure the needs and feedback of users are central to product development, creating user-friendly and accessible products.

Platform Mindset - Developing durable and reusable capabilities that solve near term objectives while also building for the future. Ensure compatibility with our existing money movement capabilities.

Experience in Product Management - Proven track record in product management with a history of launching successful products that meet high-quality standards and find product market fit.

Attention to Detail - Exceptional attention to detail, with the ability to manage multiple priorities and deadlines.

Fast Execution - Demonstrated capability to ship high-quality products quickly in a fast-paced environment.

Communication Skills - Strong verbal and written communication skills to clearly articulate product vision and strategy to stakeholders.

Responsibilities

Develop and Execute Product Strategy - Lead the development and execution of our stablecoin product roadmaps, ensuring alignment with the company's overall vision and customer needs.

Cross-Functional Leadership - Collaborate closely with other product teams, engineering, design, marketing, legal, compliance and other teams to ensure seamless execution and high-impact delivery.

Market Analysis - Conduct market research and competitive analysis to identify customer needs and emerging trends in the crypto space.

Innovation and Product Development - Drive innovation by identifying new opportunities and developing features that account for changes in customer behavior, from adoption of wallets, to agentic commerce.

Performance Metrics - Set and analyze key performance indicators to ensure product success and iterate based on user feedback and data-driven insights.

Qualifications

8+ years of experience in platform product management. Deep experience in crypto, blockchain, stablecoins or wallets are a must.

Ability to speak the language of many different stakeholders – move effortlessly from technical solutions to compliance and legal.

Experience aligning a broad set of stakeholders via strong written and verbal communication skills.

Ability to thrive with significant autonomy and responsibility in a matrixed environment.

Degree in a technical field. Masters a Plus

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $236,000 to $319,000

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Senior Staff Data Scientist, Expert Experiences

Category Data

Location
Mountain View, California; San Diego, California
Job ID 17545

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Intuit Customer Success (ICS) Data Science team is seeking an exceptional and deeply experienced Senior Staff Data Scientist to drive innovation and enhance customer experiences through Intuit's world-class expert services.

In this pivotal, high-leverage Individual Contributor (IC) role, you will be responsible for defining and building the foundational intelligence system that maps the end-to-end expert journey. Your primary mandate will be to identify and quantify points of friction in the expert workflow, establish causal relationships to business outcomes (including Customer Serving Time), and develop reusable analytical frameworks that scale across business units. Collaborating closely with the Intuit Assist Expert Experiences team, your contributions will be instrumental in shaping the future of customer success at Intuit as we build a service platform to empower our customers beyond core product use.

This role requires a technical leader who operates as a domain expert, influencing product direction across multiple teams, navigating highly complex problems, and introducing new methodologies to the Data Science community.

Responsibilities

1. Strategic Vision & Framework Development

2. Strategy to Problem: Demonstrate the ability to turn complex business strategy (e.g., Expert-as-Product, AI-Native Experience) into well-defined, measurable analytical problems and iteratively self-generate and validate hypotheses to create actionable insights.

3. X-functional Influence: Combine deep insights, business acumen, and strategic considerations to influence cross-functional VPs and Directors on key investment areas and critical priorities across multiple initiatives or business units.

4. Metric System & Causal Structure: Lead the development and implementation of a tiered metric system that maps the causal relationships between high-level business goals (e.g., efficiency, conversion) and low-level product health metrics (e.g., latency, accuracy, and coverage), leveraging Causal AI methods (like Causal Graphs) to structure and connect input metrics to outcome metrics.

5. Advanced Causal Measurement & Modeling

6. Causal Measurement Strategy: Design and implement a durable strategy for measuring the causal impact of expert-facing features, with a primary focus on Customer Serving Time (CST) reduction and ensuring GenAI efficiencies are fully achieved and accurately attributed. This includes executing complex Randomized Controlled Trials (RCTs) and utilizing advanced methods like hierarchical Bayesian modeling for robust inference.

7. Model Development & Innovation: Lead the end-to-end development of advanced analytical models, including Behavioral Modeling on clickstream data, Anomaly Detection for friction identification, and Automated Opportunity Sizing models. Apply and drive the use of advanced Causal Inference methods, including Causal Discovery and Causal Graph modeling, to answer the most complex business questions regarding efficiency attribution and metric relationship fidelity.

8. AI Strategy Co-Creation & Guidance: Co-create the Expert Experiences AI strategy in partnership with cross-functional teams. Guide teams on the phased testing and roll-out of AI-native experiences, ensuring the right processes are in place for causal measurement.

9. Mentorship & Stewardship

10. Mentorship: Actively raise the team’s technical knowledge, skill, and engagement by mentoring junior employees, documenting and sharing standards, and participating in technical forums.

Data Stewardship: Deeply understand the current state, gaps, and target state of the core expert data layers, providing technical guidance to bridge known data gaps and ensuring data architecture alignment with long-term strategy.

Qualifications

Qualifications

• Experience: 7+ years in Data Science, applied Machine Learning, and/or advanced statistical modeling, with a focus on product or customer experience analytics.
• Education: Bachelor’s or Master's Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, Operations Research, etc.)
• Technical Expertise:
• Expert proficiency in SQL and Python/R for data analysis, modeling, and pipeline development.
• Deep, hands-on experience translating a business problem into a predictive/prescriptive modeling problem and leading the end-to-end model development lifecycle.
• Advanced knowledge and applied experience with a wide range of Causal Inference methods (including Causal Graph/Causal AI techniques) and advanced statistical methods.

• Experience in AI/ML, Generative AI (GenAI), and LLM integration into analysis/data workflows, including prompt optimization and fine-tuning.

• Strategic Impact: Proven track record of influencing Director and VP-level cross-functional partners, driving strategic decisions, and creating reusable analytical assets or frameworks that scale across business units.

• Communication: Outstanding communication and data storytelling skills, with the ability to articulate complex technical findings to non-technical executive audiences.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $204,500- 276,500

Southern California $ 197,500- 267,500

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Sr Staff AI Scientist, Agentic AI

Category Data

Location
Mountain View, California; San Diego, California
Job ID 18298

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

CG AI is in the business of creating impactful agent powered experiences that save time and money for our customers. We have a team striving to make agents more effective, focusing on complex planning, flawless long-term operation, extensibility through tools and APIs, multi-agent coordination, and persistent memory.

If you like designing and deploying effective agent systems that can successfully reason, plan, and take action to solve complex, high-value user challenges - come, join us.

In this high-impact role, you will be a key technical leader in architecting and delivering next-generation Agentic AI solutions that ensure our customers experience more money, less work, and complete confidence.

Responsibilities

• Drive the initiation and design of complex agent model solutions. Lead the end-to-end architecture and implementation of the team’s work, ensuring accountability for high-quality code, robust design, cost efficiency, and implementation standards.
• Apply cutting-edge techniques, including Causal-ML, Reinforcement Learning, Online Learning, and Deep Learning, to design and train robust, self-improving AI agents on large, real-world datasets.
• Practice strong leadership and communication skills to influence teams and evangelize the impact of Agentic AI across the broader organization.
• Partner closely with Product Managers, Software Engineers, and Designers to define problem statements, success criteria, align model metrics with core business goals, and ensure successful delivery and integration of complex AI solutions.
• Work independently and proactively in a fast-paced environment. Quickly research, explore, and enable new ML and Agentic technologies, staying current with developments in academia and industry to solve Intuit customer problems.
• Develop efficient techniques for designing and evaluating agentic systems

Qualifications

• Have 8+ years of industry experience with data science.
• Have a BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent.
• Have 5+ years of hands-on expertise in advanced ML paradigms essential for agent development, such as Causal-ML, Reinforcement Learning, Online Learning, and Deep Learning.
• Have extensive prior experience building end-to-end, reusable data and model pipelines from data acquisition through to complex model/agent output delivery in a production environment.

Strong candidates may also:

• Have experience developing and evaluating complex agentic AI systems
• Have experience orchestrating multi agent systems
• Have authored papers in top conferences and journals on Reinforcement learning or Deep Learning systems

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 222,000- 300,000

Southern California $ 204,000- 276,500

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Staff Product Manager, Product Manager, Customer Insights & Risk

Category Product Management

Location
Mountain View, California
Job ID 18790

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Join our mission

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. We help over 50 million consumer, small business and self-employed customers around the world the opportunity to prosper.

Overview

We are part of the Fintech organization that powers Intuit's money movement platform, enabling prosperity for customers across QuickBooks, Mailchimp and TurboTax. The Risk Product team enables Fintech Risk Management to detect and mitigate fraud and financial risks, minimizing the impact on the good customers.

We are seeking a staff product manager on our team who would lead the transformation of how customers experience money products in the context of underlying fraud and risk management, supporting our critical area of focus (Revolutionize speed to benefit, infuse AI into our fraud and risk lifecycle end-to-end, empower risk operation team to make high quality decisions when human invention is needed). In this role, your focus would be to build the strategy and roadmap to accelerate our mission to elevate risk controls, scale risk operation with AI and automation, reduce customer frictions, in service of our business growth strategy. Our customers and partners are highly cross-functional, globally distributed, and strongly technical. This role requires a strong display of driving technical partnership and deep customer empathy, to deliver outstanding business outcomes.

You’ll be challenged to think bolder, move faster, and have a bigger impact. Deep partnerships with amazing designers and engineers make everyday a learning experience. We like to have fun and celebrate our accomplishments. Your creativity and rigor are keys to our success.

Responsibilities

How you will lead

• End-to-end ownership of capabilities to assess customer risk, spanning all product offerings to ensure a seamless experience across the ecosystem

• Develop deep customer empathy and detailed understanding of the customer journey, minimizing friction through automated real-time decisions and effortless offline processes

• Transform the way we approach risk assessments through scalable capabilities that serve a global audience, stitching data across numerous data sources to manage fraud risk, financial risk and regulatory compliance

• Leverage customer insights to formulate a compelling platform vision, then develop hypotheses and initiatives to deliver that vision; create, measure and own success metrics

• Build strong relationships with product, engineering, risk and operations teams to influence and align on platform roadmap

• Establish product delivery timelines in close collaboration with development teams; communicate frequently and clearly with other teams and leaders across the business

• Ruthlessly prioritize initiatives and drive work with strong focus on process and tactical execution

Qualifications

What you'll bring

• 4+ years designing and delivering world-class products in a Product Management role

• Deep customer empathy and curiosity

• Passion for solving problems (the big ones and small ones)

• A design-thinking mindset

• Track record of prioritizing, communicating and influencing teams

• Strong analytical skills paired with a data-informed mindset

• Experience partnering with engineering and design teams to define, build, and maintain products which are critical to growth, engagement, and retention

• Financial industry knowledge is a plus

• Bachelor's degree required; Master’s degree or MBA preferred

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 180,500- 244,000

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Director, Experiences Platform

Category Software Engineering, Executive

Location
Mountain View, California
Job ID 19091

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

As the Director, Software Engineering for the Experiences Platform, you will lead the evolution of how our customers interact with our entire ecosystem. You are responsible for the foundational technologies that power our global Design System, GenAI-driven UI (GenUX), and dynamic web/mobile experiences.

Reporting to the VP of Applications and Development Experiences, you will lead a high-scale organization that supports 7,000+ developers and powers over 500 web applications and 16+ mobile apps. Your mission is to bridge the gap between design and production-ready code, enabling "Done-For-You" (DFY) agentic experiences that are interoperable, cohesive, and AI-native.

Responsibilities

Key Responsibilities & Impact

1. Architect the Future of GenUX & Agentic UI

• Lead the development of Generative UX, creating common widgets and agentic UX patterns that allow GenAI experiences to be seamlessly stitched across Embedded, Proactive, and Immersive modes.
• Enable the "paved road" for dynamic UX composition, ensuring AI-driven personalization is consistent across all customer touchpoints.

2. Scale the Unified Design System (IDS)

• Drive the strategy for a unified, ecosystem-wide Design System, providing codified components and AI-ready tools for global offerings.
• Externalize IDS capabilities for third-party developer consumption, creating a seamless "Better Together" integration for partners.

3. Revolutionize Designer-Developer Velocity

• Deliver production-quality tooling that eliminates friction in the handoff workflow, effectively blurring the boundary between design and frontend development.
• Manage a massive platform footprint including 1,200 plugins and 100+ mobile libraries to ensure peak development velocity.

4. Drive Strategic Expansion of Business Use Cases

• Owns the technical roadmap for upcoming business use cases including building self-service capabilities that enable new revenue streams

5. Leadership & Operational Excellence

• Directly manage a high-performance engineering org, partnering closely with Distinguished Engineers (DEs) and Product Management to execute a 3-year strategic vision.
• Foster an InnerSource culture, enabling partner teams to contribute to and leverage platform capabilities at scale.

Qualifications

• Proven Leadership: 10+ years of experience leading large-scale engineering organizations, specifically within Platform, UI/UX, or Mobile infrastructure.
• Scale & Complexity: Demonstrated success managing platforms used by thousands of internal developers and millions of end-users.
• AI/ML Integration: Deep understanding of how to integrate Generative AI into frontend architectures (Agentic UX) and dynamic content delivery.
• Full-Stack Ecosystem Knowledge: Expertise in Web and Mobile (iOS/Android) development lifecycles, including CI/CD paved roads and design-to-code automation.
• Strategic Execution: Ability to translate high-level business goals (revenue generation, ecosystem growth) into technical requirements and execution plans.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $297,000 - $402,000.

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Sr. Staff Technical Program Manager

Category Program Management & Business Operations

Location
Mountain View, California
Job ID 19128

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Application and Development Experiences (APEX) team as a Sr Staff Technical Program Manager focused on accelerating the engineers across Intuit. The APEX TPM team’s mission is to accelerate the outcomes of the APEX product development organization by driving for clarity among chaos and uniting cross-functional teams to operate with velocity. This role specifically supports the bold, technology-driven strategy to reinvent the Intuit Platform by embracing an AI-first mindset to deliver an expert Platform at velocity.

This role requires a strategic leader who can partner with cross-functional Senior Leadership to drive forward the complex, cross-organizational initiatives essential for achieving our ambitious goals.

Responsibilities

• Provide strong strategic partnership with Senior Leadership Team and cross-functional stakeholders
• Quickly come up to speed and scale a large portfolio of high-priority deliverables independently
• Understand the technology landscape and connect the dots across various programs within the portfolio to accelerate program delivery and simply execution
• Partner with the Product Managers and cross-functional stakeholders to unblock and guide program teams' delivery across initiatives
• Effectively identify and manage dependencies across the program
• Effectively manage risks, issues, and escalations and drive them through to closure
• Demonstrate strong executive level communications skills driving transparency across program portfolio to Senior Leadership
• Drive the creation of program roadmaps and execution plans across all phases of planning, development, and production readiness and launch for key business platform initiatives
• Ability to define and implement program frameworks ensuring operational rigor across the program enabling teams to deliver with ease
• Strong ability to kickoff programs and establish close partnerships with core stakeholders
• Be a results-oriented strong team player with the ability to anchor stakeholders to primary objectives and outcomes leading to quick decisions essential for speed and autonomy
• Strategize and collaborate with core stakeholders and influence cross-functional teams across Product Management, Engineering, and other groups to effectively drive towards program outcomes
• Thrive in establishing order and clarity amongst ambiguity and chaos

Qualifications

• Demonstrated strong Program Management leadership experience, including 10 or more years leading multiple complex software-as-a-service (SaaS) development projects.
• Excellent influencing skills. Demonstrated ability to work in a matrix environment and ability to influence at all levels and build strong partnerships across organizations in delivering the best outcome of complex programs.
• Outstanding communication skills appropriate for executive-level audiences, visually communicating goals of the program, relationship to business goals, and other relevant success criteria.
• Good understanding of SaaS technologies or demonstrated ability to collaborate with engineering teams on complex technology programs with Agile and Scrum development methodologies.
• Computer science or other technical education or equivalent work experience preferred
• Experience with large horizontal programs in close partnership with executive leadership

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California: $193,500 - 262,000

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Senior Staff Engineer, BISO (Business Information Security Organization)

Category Software Engineering

Location
Mountain View, California
Job ID 19052

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

As part of the BISO team, you will lead the development of intelligent agents that deliver a “done-for-you” experience—helping Intuit improve efficiency, boost productivity, and reduce friction. You will join an innovative and passionate team leveraging cutting-edge technologies such as LangGraph, React, Spring Boot, Kubernetes, AWS, ElasticSearch, and Kafka to build globally distributed services. We are looking for an engineer with a strong background in Fullstack technologies (Python, Java, Spring, MCP, RESTful services, etc.) who is eager to work on features and services that enhance our product suite and delight our Intuit customers.

Responsibilities

• Speed as a habit : Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company

• Thought Leadership - You will collaborate with other leaders at Intuit to influence and develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.

• Drives significant technology initiatives end-to-end, including horizontal layers of the architecture

• GenAI Landscape Mastery: Continuously explore emerging trends, tools, and techniques in Generative AI. Follow trends and research topics of leveraging AI/GenAI to improve workforce efficiency.

• Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems

• Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment

• Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership

• Creates robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications

• Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems

• Grow Talent – Groom the next generation of technical leaders in the group.

• Hands-On – Be prepared to get hands-on and debug complex issues or create fully working POCs which teams can take forward.

• Communication skills – Explain complex designs to both technical and non-technical stakeholders and drive consensus.

Qualifications

• BS/MS in Computer Science or related area

• 15+ years of experience developing systems/software for large business environments (Python, Java, J2EE)

• 5+ years of experience designing complex distributed systems, management products or business applications

• Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solution

• Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python

• Prior experience working in teams that have built AI native applications for 1+ years

• Demonstrated experience with generative AI models and frameworks.

• Proven track record of building and deploying AI-powered solutions.

• Experience with at least one of the following: Front-end technologies like React, Angular

Back-end technologies like Java, Typescript, Spring, Express (NodeJS)

• Prior working experience in a cloud computing environment like AWS/GCP is highly desired

• Agentic Mindset

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $214,000 - $289,500.

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Manager 2, Software Engineering

Category Software Engineering

Location
San Diego, California
Job ID 19300

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Join our Consumer Group organization as a Senior Engineering Manager and drive the future of TurboTax. We are looking for a leader to spearhead one of the most critical teams in our ecosystem, responsible for evolving the platform that is the engine for content and calculations within the TurboTax experience. This role is pivotal in shaping our platform innovation strategy, enabling developer productivity, and ensuring flawless collaboration across multiple Tax teams. Your impact will directly affect delivery of tax experiences and create AI-powered solutions that redefine platform development.

Responsibilities

• Develop and refine our tax engine technology platform’s core integration patterns.
• Define and evolve tax runtime platform architecture that accelerate content delivery and underlying engine changes.
• Define the engineering roadmap to enable rapid delivery for our tax content
• Ensure innovations are production-ready and drive measurable business impact.
• Build, mentor, and scale a high-performing engineering team.
• Foster a culture of technical excellence, collaboration, and ownership.
• Prioritize professional development and empower engineers to excel in a fast-paced environment.
• Ensure robust operational frameworks to deliver highly available, scalable, and secure platform solutions.
• Collaborate with product management, designers, and tax leaders to translate ambitious visions into actionable plans.
• Influence cross-functional partners to align behind technical and strategic goals.

Qualifications

• BS/MS in Computer Science, Engineering, or equivalent experience.
• 10+ years in software engineering, including 1+ years leading high-performing, impactful engineering teams.
• Good understanding of AWS technology, hosting patterns, and Java/C++ tech stacks
• Passionate about AI-first approaches with demonstrated experience in implementing AI and machine learning solutions that improve developer velocity.
• Strong expertise in designing scalable and extensible platforms.
• Strategic mindset combining business acumen with technical innovation, navigating technical complexities to deliver modular, multifaceted solutions.
• Proven ability to foster a culture of collaboration, innovation, and inclusivity.
• Track record for mentoring technical talent and scaling engineering organizations.
• Dedicated to building customer-first solutions through end-to-end journey mapping and driving value for end-users in every engagement.
• Confident communicator skilled in managing up, influencing cross-functional stakeholders, and serving as the technical face of Consumer Group innovations internally and externally.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Southern California $ 200,500- 271,000

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Staff Business Systems Analyst - Finance Digital Transformation and Governance

Category Information Technology

Location
Mountain View, California; San Diego, California
Job ID 19283

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit’s Finance team drives business growth and profitability through strategic, financial and operational leadership. Our team is comprised of finance, accounting, supply chain, corporate strategy & development and tax professionals that support and enhance Intuit's operating efficiencies

This is not an IT role. This is a finance functional role in the Finance Digital Transformation and Governance (FDTG) team, within the Controllership, Assurance & Operations (CAO) organization. As an individual contributor, this position will interface between technology teams and finance process owners to provide finance requirements, validate solutions, assess impact to finance processes, provide change management and have strong risk management abilities, with a view to enable business for new launches requiring development of back-office finance systems and to provide assurance over system changes to the finance leadership.

This position is expected to have deep accounting process and domain knowledge, representing an E2E finance point of view with an ability to translate complex accounting requirements into system requirements, review of solution design, and validation through testing. The position will require strong cross-functional skills with a point of view that operates at a consistent quality and standard considering existing system architecture and design decisions, existing and future processes, inherent risks, and accounting. Primary systems in focus for this position are Item design systems, Billing and Revenue systems, Oracle eBusiness Suite and Revshare platform.

The individual in this role must demonstrate a comprehensive understanding of Quote to Cash and Revenue accounting processes, strong project management skills, ability to multi-task in a fast-paced environment and exceptional change management and communication skills. This individual must demonstrate good business sense, use data to drive decisions, be an independent thinker, team player and a trusted partner. Ability to collaborate with a wide variety of teams, communicate effectively at all levels within the organization, skill with quantitative/qualitative analytical methodologies and tools, ability to quickly research, understand and document new processes and requirements are foundational needs for success in this role.

Responsibilities

How you will lead

Deliverables:

Finance Requirements Document – Translate complex accounting guidance and processes into system requirements. Consider end-to-end business processes, transactional flows, associated accounting impacts and required controls. Thought partner with teams to provide clarification on accounting implications and process impact, but with a system/automation perspective. Attend requirements gathering sessions, draft and deliver complete and accurate finance requirements documents, signed off by process owners being represented.

Solution Review and Signoff – Provide point of view on solution leveraging end to end knowledge of accounting processes and controls. Provide transparency on significant design decisions and process changes to finance stakeholders with point of view on risk, resource and financial impacts. Validate solution for financial implications while providing point of view on system design, gaps and deferrals with inputs on prioritization and manual workarounds.

Testing - Align on testing approach and scenarios with tech teams, a view towards financial risks mitigation and testing the solution for finance requirements. Validate testing evidence for accuracy of accounting results, as needed. Lead User Acceptance Testing coordination with process owners.

Change management - drive overall change management, communication and training to accounting process owners throughout the software lifecycle development process; goal is ‘no surprises’ for our stakeholders. Final deliverable being process hand off document to manage knowledge transfer to process owners.

Release/ Issues Management – Have a risk based review of monthly system releases, identify system issues with a point of view on financial risk and manage prioritization of backlog items and defects for resolution.

Qualifications

What you'll bring

Education:

· Bachelors degree in Accounting with minimum of 7-10 years of functional finance/business systems experience or equivalent experience

Experience:

· At least five to seven years of Billing, Quote to Cash, Revenue, Accounting, Financial system implementation experience, with experience on requirements documentation, solution review and testing validation as a functional lead

· Experience on Oracle BRM, RevStream, Partner Revshare systems and Oracle R12 or similar systems (such as Zuora, Billing Platform, Oracle Revenue Cloud etc.) preferred

Knowledge, Skills and Abilities:

Skills particularly important to success are-

· Accounting and financial domain knowledge. Deep understanding of AR, Revenue and Deferred revenue accounting and associated transactional flow

· Strong “systems and process orientation” with demonstrated analytical thinking, organizational skills and problem solving skills

· Project management skills with a proven track record of delivering projects

· Excellent written and verbal communications, presentation and influencing skills, including the ability to raise issues appropriately to the right level internally and externally to resolve

· Able to speak “accounting” and “technical” languages for the right audiences

· Ability to influence people and indirectly manage a team of people to ensure the effective execution of complex initiatives

· Ability to navigate complexity well and demonstrated experience managing across functions to accomplish large scale goals

· Must be comfortable working in cross-functional teams and willing to voice their opinion

· Must be savvy to understand both business/accounting needs and the technologies to implement them

· Have experience identifying systemic and process risks and how to mitigate those discoveries

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $164,500 to $223,000.

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Staff Technical Program Manager - Tech Buy Strategy

Category Program Management & Business Operations

Location
Mountain View, California; San Diego, California
Job ID 19268

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Intuit Platform & Development Xceleration Group (PDX) Program Management Ofce, as a Staff Technical Program Manager, Tech Buy Strategy. The PDX PMO’s team supports the Intuit Chief Architect and their mission is to accelerate the outcomes of the PDX organization by defining the overall Intuit Tech strategy and executing on large horizontal initiatives and technology priorities across multiple teams across Intuit.

This role will execute processes for making build vs buy decisions; ensure 3P technology choices align to Intuit’s selection principles; and conduct consistent tech diligence and integration planning for renewals and new contracts. This role will also partner with key stakeholders to ensure that strategic and critical third parties are aligned to Intuit’s tech strategies and are delivering the most important work to innovate for our customers.

Responsibilities

• Drive technical due diligence and integration planning for key strategic and critical third party or open source technologies including preparing and presenting formal reports and readouts. Establish a process for recording decisions and accountable owners.
• Establish a scalable process for onboarding and maintaining key strategic and critical third party or open source technologies in City Map in partnership with the enterprise architecture team. Mapping of third party products and services to City Map capabilities and owners for enabling decisions that align with Intuit’s tech strategy.
• Develop 3rd party strategic alignment program structure and drive program operating rhythm with in partnership with cross functional teams across Intuit Tech Ecosystem and Global Business Solutions
• Drive creation of roadmaps and execution plans for tech strategy alignment and continuous improvement with key strategic vendors
• Develop the overall vendor performance management strategy, including incident and escalation management, ensuring vendor SLA commitments are meeting Intuit’s business needs
• Collaborate with key stakeholders in executive teams, architecture and product development teams across Tech Ecosystem; and various cross-functional teams across Intuit to drive program outcomes.
• Prepare regular status reports and dashboards to drive understanding of current initiatives and hold both internal teams and third parties accountable to milestones and deliverables
• Prepare agenda and key talking points to support executive leadership meetings with third parties

Qualifications

• 8+ years of experience in top tier technology strategy and consulting, or experience in developing strategy for large scale SaaS and Cloud hosting vendors
• Significant exposure to senior leaders, experience in leading operating rhythms with senior tech leaders, driving alignment, building consensus on tech strategy decisions
• Domain knowledge of building and operating high availability, high performance, reliable and robust platform architectures
• Understanding of cloud hosting technologies like AWS and GCP is preferable
• Strong understanding of contractual SLAs, performance tracking and reporting
• Passion to quickly learn new technology spaces like Generative AI, Blockchain, CyberSecurity, DevOps, Edge Computing, etc.
• Strong proficiency in standing up portfolio and program frameworks for complex, multi-company initiatives
• Ability to drive technology strategy development including role for build vs buy, core vs context, etc.
• Deep understanding of partner management and how to drive partners for high performance
• Proven ability to quickly earn the trust of sponsors and key stakeholders; mobilize and motivate teams; set direction and approach; resolve conflict; deliver tough messages with grace; execute with limited information and ambiguity; adapt to and manage change quickly
• Thrive in a culture of ownership, delivery, and innovation.
• Ability to traverse both vertically and horizontally in a large organization

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 177,500- 240,500
Southern California $ 165,500- 224,000

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Senior Data Scientist - QBO Shared Experiences

Category Data

Location
Mountain View, California
Job ID 19494

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Global Business Solutions Group (GBSG) Product Data Science team as a Senior Data Scientist. Our mission is to deliver delightful “Done for you” (DFY) customer experiences and accelerate GBSG user growth and retention through a data-driven, platform-led approach to growth. This is a high-impact role where your work will directly influence product, marketing, and business model strategies.

As a Senior Data Scientist, you will partner closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise—especially in causal inference and advanced analytics—will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth.

Responsibilities

1. Drive Business Strategy through Data - Translate business problems into analytical frameworks. Connect data across multiple functions to drive actionable recommendations and strategic growth opportunities for the DFY platform offerings
2. Experimentation & Causal Inference - Design, run, and analyze A/B tests and quasi-experiments using methodologies such as synthetic control, regression discontinuity, or propensity score matching to establish causal relationships and measure impact.
3. Cross-Functional Influence - Serve as the strategic data science partner to leaders across Marketing, Product, and Finance. Communicate complex findings clearly and concisely to drive alignment and action
4. Data Infrastructure & Governance - Partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place. Champion data hygiene and integrity.
5. Insights at Scale - Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership.

Qualifications

• 5+ years of experience in data science, with a proven record of applying advanced analytical methods to drive product and business growth ideally in Saas or financial technology companies serving consumer or SMBs
• Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design
• Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights
• Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights; Experience with data integration and pipeline development is a plus
• Experience using statistics and machine learning techniques to solve complex business problems within product marketing, e.g., product funnel optimization, propensity for feature adoption, next best action models etc.
• M.S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $159,500 - $215,500

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Senior Staff Engineer - Sales CRM

Category Software Engineering

Location
Plano, Texas
Job ID 20070

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Virtual Expert Platform (VEP) team is at the heart of connecting our customers with expert guidance across all our products—QuickBooks, TurboTax, Mailchimp, and Credit Karma. We also provide the technology that powers Intuit’s Sales, Partner and Customer Success capabilities to drive sales and customer satisfaction of all of our products. We own the entire technology stack, from user interfaces and expert management systems to workforce operations, digital expertise and conversation capabilities, data infrastructure, and platform services. We collaborate closely with product, design, marketing, and operations to create seamless experiences for both users and customers.

We are seeking a Senior Staff Engineer to lead the technological evolution of the Enterprise Mid-Market Customer Relationship Management (CRM) platform for Sales to serve our Mid-Market and Enterprise business customers. This includes a strong understanding of the Salesforce (SFDC) platform, coupled with experience building for enterprise Sales and designing a robust technology stack that integrates best of breed tools along with first party innovation. You will be a key leader and work closely with Product Management and partner with Sales teams to build a best in class experience for our Sellers powered by AI and HI (Human Intelligence).

Responsibilities

• Gathering functional requirements, developing technical specifications, and project & test planning
• Design, develop, and deploy scalable and high-performance solutions on the Salesforce platform using Apex, Lightning Web Components (LWC), Aura Components, Visualforce, and Salesforce APIs.
• Develop robust integrations between Salesforce and external systems, leveraging AWS services (e.g., Lambda, SQS, S3) for efficient data flow and processing, using REST/SOAP APIs, middleware, and other integration patterns.
• Apply the latest in AI technologies (i.e., Agentforce, Claude, OpenAI) to seamlessly integrate Human Intelligence (HI) to solve business problems.
• Contribute significantly to all phases of the software development lifecycle, including requirements gathering, technical design, coding (approximately 80-95% hands-on), testing, and deployment.
• Demonstrate tech leadership: Mentoring junior engineers, new team members, and applying technical expertise to challenging programming and design problems
• Ability to navigate Intuit towards Ecosystems and Platform to be steward in visioning short-and long-term strategy, trade-offs across business and technology. Own the current and future state and drive delivery through clear and bite size steps. Support execution teams with complex development and operational challenges through hands-on technical leadership via code design and contributions
• Work cross-functionally with various Intuit teams: product management, various product lines, or business units to drive forward results
• Contribute to the design and architecture of the project. Hands-on coding
• Experience with Agile Development, SCRUM methodologies

Qualifications

• 10+ years’ experience architecting and designing SAAS offerings, leading design for web, software, or mobile applications. Hands on (50% time spent on coding/code reviews)
• B. Tech/M. Tech in computer science or equivalent work experience.
• Hands-on development experience on the Salesforce platform, specifically with Apex, Lightning Web Components (LWC), and/or Aura Components.
• Proficiency with Object-Oriented Programming (OOP) principles and experience with at least one of the following languages: Java, C#, Python, or similar.
• Proven experience with web services (REST and/or SOAP APIs) for system integrations.
• Familiarity with Amazon Web Services (AWS) and experience with at least one core service (e.g., Lambda, S3, SQS, EC2, DynamoDB) for building scalable and integrated solutions.
• Understanding of data engineering concepts, including data modeling, ETL processes, and working with structured/unstructured data.
• Exposure to Artificial Intelligence (AI) or Machine Learning (ML) concepts and an understanding of how they can be applied to enhance business processes or insights.
• Strong understanding of the Software Development Life Cycle (SDLC) and experience with Agile development methodologies (e.g., Scrum).
• Experience with unit testing and a strong understanding of Test-Driven Development (TDD) principles.
• Excellent problem-solving skills with a track record of delivering against assigned tasks in complex environments.
• Strong written and verbal communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
• A self-starter attitude with the ability to take ownership of problems and drive solutions independently.
• Excellent communication and presentation skills: Demonstrated ability to explain complex issues to both technical and non-technical audiences.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

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Staff iOS Engineer

Category Software Engineering

Location
Mountain View, California
Job ID 13744

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.

At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.

Responsibilities

• Create impactful iOS experiences with deep customer empathy, quickly translating insights into mockups, wireframes, and proof-of-concept code
• Act as the technical subject matter expert, mentoring fellow engineers, leading a small team, and solving challenging programming and design problems
• Proactively identify opportunities to enhance software applications with AI technology
• Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
• Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

Qualifications

• BS/MS in computer science or equivalent work experience
• 7+ years of professional experience with expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications
• Expertise in Swift and SwiftUI
• Experience in the Software design/architecture process
• Experience in the entire Software Development Life Cycle (SDLC)
• Experience with web services (consuming or creating) with REST or SOAP
• Excellent communication skills, with the ability to explain complex technical issues to different audiences
• Familiarity with the development challenges that come with highly scalable and available web applications
• Experience with unit testing and Test Driven Development (TDD)
• Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
• Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance
• Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
• Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $197,000- 266,500

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Staff Android Engineer

Category Software Engineering

Location
New York, New York
Job ID 20009

Apply Now

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Overview

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.

At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.

Responsibilities

• Create impactful Android experiences with deep customer empathy, quickly translating insights into mockups, wireframes, and proof-of-concept code
• Act as the technical subject matter expert, mentoring fellow engineers, leading a small team, and solving challenging programming and design problems
• Proactively identify opportunities to enhance software applications with AI technology
• Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
• Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

Qualifications

• BS/MS in computer science or equivalent work experience
• 7+ years of professional experience with expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications
• Expertise in modern Android technologies such as: Kotlin, Jetpack Compose, Android SDK
• Experience in the Software design/architecture process
• Experience in the entire Software Development Life Cycle (SDLC)
• Experience with web services (consuming or creating) with REST or SOAP
• Excellent communication skills, with the ability to explain complex technical issues to different audiences
• Familiarity with the development challenges that come with highly scalable and available web applications
• Experience with unit testing and Test Driven Development (TDD)
• Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
• Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance
• Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
• Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

New York $ 197,000- 266,500

Apply Now
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Staff Software Engineer - Front End Mobile

Category Software Engineering

Location
Mountain View, California
Job ID 19815

Apply Now

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join us as a Staff Software Engineer Mobile (iOS) in the QuickBooks Workforce Mobile

team, part of the Workforce Solution group . In this role you would leverage your hands-on

engineering expertise to expand our platform so we can delight Intuit’s millions of users

with amazing digital experiences!

We challenge ourselves to be the best - through our hunger for technical and personal

growth while creating world-class software. We are lifelong students and teachers, always

learning from and evolving ourselves and the people, processes, and technology around us.

If this culture sounds interesting – we would love to talk to you about joining our team!

We are seeking a Staff Mobile Software Developer with a strong passion for building successful

applications, services, and APIs that deliver big value to customers. You are comfortable in dealing with

ambiguity and changes. You love to take initiative and have a bias towards action. You are not afraid to

tackle difficult problems and dive into new technologies. You are a highly motivated and creative problem

solver with a passion for innovation.

Responsibilities

• Create impactful mobile experiences with deep customer empathy, quickly translating

insights into mockups, wireframes, and proof-of-concept code.

• Act as the technical subject matter expert, mentoring fellow engineers, leading a

small team, and solving challenging programming and design problems.

• Proactively identify opportunities to enhance software applications with AI

technology.

• Coach and mentor junior engineers on best practices of software engineering,

leveraging AI to enhance applications, and building their technical expertise to

ensure efficient and effective outcomes.

• Launch AI integrations in production and evaluate their impact on software

performance and user satisfaction, using appropriate metrics.

Qualifications

• BS/MS in Computer Science or equivalent work experience.

• 7+ years of professional experience with expertise in developing, maintaining, and

innovating large-scale, consumer-facing mobile applications.

• Expertise in modern mobile technologies, with specific deep experience in iOS (e.g.,

Swift, SwiftUI, KMP) development.

• Experience in the Software design/architecture process.

• Experience in the entire Software Development Life Cycle (SDLC).

• Experience with web services (consuming or creating) with REST or SOAP.

• Excellent communication skills, with the ability to explain complex technical issues to

different audiences.

• Familiarity with the development challenges that come with highly scalable and

available web applications.

• Experience with unit testing and Test Driven Development (TDD).

• Proficient in building or integrating functional AI models using techniques such as

On-device LLM, LLM prompting, AutoML modeling, etc.

• Skilled in evaluating and monitoring the performance of AI technology in production

and making necessary adjustments to ensure optimal application performance.

• Possesses an in-depth understanding of AI integration and can lead the integration

process effectively, while coaching junior engineers on how to leverage AI.

• Ability to work collaboratively with cross-functional teams, including data scientists,

product managers, and software engineers.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Apply Now
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Staff Data Scientist- Forecasting

Category Data

Location
San Diego, California
Job ID 19327

Apply Now

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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Are you a strategic, data-driven leader who enjoys solving complex, system-level problems? Do you want to shape how platforms and networks scale through advanced analytics and AI-native experiences? If so, we have an exciting opportunity for a Staff Network Capacity Planning within our Intuit Quickbooks family of products and services.
In this role, you will own network capacity planning for an end-to-end capability or a major portion of experiences within a composite application supporting millions of small business customers. You will act as a technical leader and domain expert, applying data science, systems thinking, and AI-driven insights to influence product, technology, and business decisions at scale across Intuit Quickbooks family of products and services.
You will translate business strategy into analytical problems, develop predictive models and KPI frameworks, and drive experimentation and learning at the Business Units and Intuit Group levels. You will also help define analytics and AI standards that scale across the organization.

Responsibilities

Own and evolve network capacity planning strategy for complex, large-scale systems within the Intuit Quickbooks family of products and services.

Translate business strategy into hypotheses, models, and actionable insights that inform leadership decisions. Design and analyze experiments (A/B/n, bandits, causal methods) to inform decision-making

Design and maintain forecasting, capacity, and analytics models using statistical, machine learning, and causal inference methods

Define KPI frameworks and success metrics at the BU and IG levels

Lead end-to-end analytics initiatives, including scoping, execution, and stakeholder alignment

Influence product, technology, and analytics direction as a technical leader and domain expert

Ideate and influence AI-powered solutions and measurement strategies for AI-native experiences

Understand AI architectures (e.g., GenOS, LLMs) and their implications for data, modeling, and customer behavior

Communicate insights clearly and persuasively to senior and executive leaders

Mentor senior analysts and data scientists and help establish analytics standards adopted across Intuit Quickbooks family of products and services.

Qualifications

7+ years of experience in network capacity planning, workforce planning, or operational forecasting with increasing scope and impact

Deep expertise in data science, analytics, or applied statistics

Advanced proficiency in SQL, Python, R, and Generative AI tools

Strong experience with experimentation, causal inference, and KPI development

Demonstrated ability to influence strategy and decisions beyond immediate team

Excellent data storytelling, communication, and stakeholder influence skills

Systems thinking mindset with strong business acume

ntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Southern California $ 185,500- $251,000
References
Visible links
1. https://www.intuit.com/careers/benefits/full-time-employees/
San Diego $185500 - $251000

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