Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

We’re seeking a Staff Product Manager to drive strategy and execution of new and existing initiatives for Credit Karma Money, the checking, savings, and associated financial products. This role requires a deep understanding of user needs, a strong analytical background, and the ability to lead cross-functional teams to deliver impactful products that help our members make financial progress.

What you’ll do:

• Define projects by establishing business justification, potential impact, and clear product requirements
• Utilize deep consumer insights and market trends to inform product decisions and continuously gather and analyze user feedback to drive consistent improvements in product experience
• Collaborate closely across Credit Karma, Intuit, and external partner teams to deliver high-quality projects within defined timelines
• Effectively communicate strategy, decisions, project status, and other vital details to leadership and translate their feedback into action
• Monitor product health and performance by proactively identifying opportunities and making actionable recommendations to drive improvements
• Develop experiments and research plans to identify product opportunities and prioritize the roadmap
• Oversee the product lifecycle from ideation and concept development to launch and iterative improvement, ensuring timely and high-quality delivery of product milestones

What we are looking for:

• 8+ years of hands-on experience managing consumer FinTech products, ideally neobanking

What we’d like to see: 

• Degree in a technical discipline
• Love of crafting market-leading consumer product experiences from positioning to pixels
• Experience translating complex, confusing, and frustrating concepts into simple, elegant, and understandable experiences
• Deep appreciation for the power of consumer finance products to change people’s lives
• Possess high energy and enjoy thriving in a rapidly-changing, ambiguous, high-growth environment
• Flexible to react to changing priorities, and able to prioritize and deliver in a deadline-oriented environment

Pay Transparency Notice: 

Credit Karma’s mission of championing financial progress for all starts from within. That’s why we implemented role-based compensation, which ensures people who are in the same role receive the same pay with variations for geographic location only. It’s all part of a more comprehensive DEI strategy that helps level the playing field. The base salary range for this role is $250,000 – $317,000, plus equity and benefits. 

Benefits include:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
• Education Perks
• Paid Gift Week in December

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

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.

What You’ll Do

• 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.

What we expect

• 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.

Benefits include:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
• Education Perks
• Paid Gift Week in December

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

The Application Platform team at Credit Karma enables our product engineering teams to build and manage their microservices at scale. We provide frameworks, tools and guidance to product teams to increase their velocity and allow them to maintain their services with ease. The frameworks we provide include GraphQL at the API layer and a microservices framework for the backend services in different runtimes such as Java, Scala and TypeScript. Through the frameworks, we solve some of the most challenging tasks of running the Application Platform, such as security, availability and scale.

Your role would be to work with the partners to gather requirements, build a roadmap for where the team could add the most value, guide design and promote execution.

After having successfully completed our transition to microservices, we are working on our next generation of frameworks which will allow us to handle the new challenges we are facing. If you are excited about what the future looks like and want to contribute. Please apply to the role and join us.

What you’ll do:

• Own projects and the complete software development lifecycle
• Work closely with team members to build scalable features and systems
• Optimize frameworks for maximum security, speed and scalability
• Influence the features and direction of the product with your own ideas

What’s great about the role:

• The autonomy, pace, and quick decisions of a startup, with the stability of Credit Karma’s mature platform
• You’ll have lots of opportunities to break new ground, discover and seek brand-new challenges, and make key decisions impacting a large engineering organization
• Our teams make a big impact within Credit Karma Engineering, with the ability to help drive next-generation tools or features to increase their velocity

Minimum Basic Requirement:

• 10+ years of software development experience
• Proficient in JavaScript, Java or Scala
• Experience implementing frameworks or libraries
• Experience with microservices architecture
• Understanding of scale, concurrency, security and observability
• Passion for exploring new technologies and frameworks
• Strong communication skills, both verbal and written
• Experience in a technical leadership role leading teams and setting technical direction

Preferred Qualifications: 

• Experience with TypeScript
• Experience with GraphQL
• Knowledge of user experience and design best practices
• Knowledge of developer efficiency measures
• Lead impactful projects that have impact across all engineering departments.

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

As a Staff Front End Software Engineer on our product engineering team, you’ll get to lead a growing team at 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 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 you’ll do:

• Develop features and improvements for the various consumer facing products at Credit Karma using React and Typescript
• Develop, maintain and advocate Frontend code quality standards and best practices. Teach and reinforce these principles through code review
• Solve technical problems of the highest scope and complexity for the team. Serve as a technical leader, resource, and mentor for the other members of the Frontend Engineering team

What’s great about the role:

• Impact our business 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

Minimum Basic Requirements:

• 10+ years of programming experience with a focus on front end development
• 4+ years experience in at least one relevant front-end framework (React, Vue, Angular, etc.)
• 4-6 years 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 TypeScript
• Experience with GraphQL
• Ability to mentor, teach and coach early career team members
• Strong command of modern HTML and CSS
• A solid foundation in OOP, design patterns, algorithms, programming languages
• 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 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

We’re seeking a Staff Product Manager to drive strategy and execution of new and existing initiatives for Credit Karma Money, the checking, savings, and associated financial products. This role requires a deep understanding of user needs, a strong analytical background, and the ability to lead cross-functional teams to deliver impactful products that help our members make financial progress.

What you’ll do:

• Define projects by establishing business justification, potential impact, and clear product requirements
• Utilize deep consumer insights and market trends to inform product decisions and continuously gather and analyze user feedback to drive consistent improvements in product experience
• Collaborate closely across Credit Karma, Intuit, and external partner teams to deliver high-quality projects within defined timelines
• Effectively communicate strategy, decisions, project status, and other vital details to leadership and translate their feedback into action
• Monitor product health and performance by proactively identifying opportunities and making actionable recommendations to drive improvements
• Develop experiments and research plans to identify product opportunities and prioritize the roadmap
• Oversee the product lifecycle from ideation and concept development to launch and iterative improvement, ensuring timely and high-quality delivery of product milestones

What we are looking for:

• 8+ years of hands-on experience managing consumer FinTech products, ideally neobanking

What we’d like to see: 

• Degree in a technical discipline
• Love of crafting market-leading consumer product experiences from positioning to pixels
• Experience translating complex, confusing, and frustrating concepts into simple, elegant, and understandable experiences
• Deep appreciation for the power of consumer finance products to change people’s lives
• Possess high energy and enjoy thriving in a rapidly-changing, ambiguous, high-growth environment
• Flexible to react to changing priorities, and able to prioritize and deliver in a deadline-oriented environment

Pay Transparency Notice: 

Credit Karma’s mission of championing financial progress for all starts from within. That’s why we implemented role-based compensation, which ensures people who are in the same role receive the same pay with variations for geographic location only. It’s all part of a more comprehensive DEI strategy that helps level the playing field. The base salary range for this role is $250,000, plus equity and benefits. 

Benefits include:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
• Education Perks
• Paid Gift Week in December

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 130 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Bangalore, Oakland, Charlotte, Culver City, San Diego, London and New York City.

About the team and the role: 

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. 

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.

What you’ll do:

• 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
• 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

Minimum Requirement:

• 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 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

We are looking for a Staff Product Manager to lead multiple product areas across our Subscriptions business, one of Credit Karma’s most strategic new initiatives. Subscriptions sits at the core of our vision to deliver ongoing value to members through personalized guidance, proactive insights, and access to premium features that help members make financial progress every day. This role is an opportunity to build, scale, and optimize a business that strengthens long-term relationships with our members while driving meaningful recurring revenue for Credit Karma. You will work on the vision and roadmap for Subscriptions, guide a cross-functional product team, and partner closely with engineering, design, marketing, and data science to create delightful experiences that members are willing to pay for.

What You’ll Do:

• Own the strategy and roadmap for multiple product areas across Subscriptions, balancing near-term growth with long-term business sustainability.
• Build subscription offerings that deliver durable member value, including ongoing benefits, personalized insights, and integrated tools across Credit Karma’s ecosystem.
• Partner closely with Marketing teams to drive acquisition, retention, and engagement across the member lifecycle.
• Establish clear success metrics (subscriber growth, engagement, retention, revenue per user) and align the team around measurable impact.
• Champion a member-first approach, ensuring subscription experiences are transparent, trustworthy, and in service of our mission to champion financial progress.
• Continuously test, learn, and iterate on features, packaging, and pricing models to optimize member value and business outcomes.

Why you’ll love the role:

• Opportunity to build a 0 to 1 product and scale a new business line that is a top company priority 
• Work on high-visibility initiatives with significant executive sponsorship
• Shape how millions of members engage with Credit Karma day-to-day, not just during episodic financial events
• Fast-paced environment that operates like a ‘start-up’ within Credit Karma 

What we’re looking for:

• Bachelor’s degree from an accredited college or university
• 7+ years of Product Management experience. Consumer product experience strongly preferred, fintech experience not required 
• Strong collaboration skills; comfortable influencing at all levels and across diverse functional teams 
• High ownership mentality with a strong willingness to roll up your sleeves
• You can guide prioritization decisions and trade-offs based on user needs and company priorities

Preferred Qualifications:

• You are a creative product thinker and partner with design to create simple and delightful experiences, even in the face of complex constraints and requirements
• You have experience shipping multiple complex consumer products with broad reach and measurable impact
• You have a high level of comfort working with ambiguous goals
• Can strike a healthy balance between speed of execution and maintaining a high quality bar 
• Adept at driving prioritization decisions and trade-offs based on user needs and company priorities
• Ability to work on projects that range from immature pre-product fit to larger, market leading initiatives
• Outcomes-driven, ability to define KPIs and articulate how they can be met by the product plan. Analytical mindset and data-driven approach to strategic planning and problem solving

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you’ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams.
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks 
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.

What’s great about the role:

• Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirements:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and  lending
• Experience leveraging credit bureau, tax and cash flow data in credit risk model development
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. 
• Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in New York City, New York is $201,500 – 273,000. 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.

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you’ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams.
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks 
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.

What’s great about the role:

• Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirements:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and  lending
• Experience leveraging credit bureau, tax and cash flow data in credit risk model development
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. 
• Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in Bay Area California is $205,500 – 278,000. 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.

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you’ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams.
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks 
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.

What’s great about the role:

• Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirements:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and  lending
• Experience leveraging credit bureau, tax and cash flow data in credit risk model development
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. 
• Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in San Diego is $191,500 – 259,000. 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.

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you’ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams.
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks 
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.

What’s great about the role:

• Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirements:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and  lending
• Experience leveraging credit bureau, tax and cash flow data in credit risk model development
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. 
• Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in Bay Area California is $205,500 – 278,000. 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.

Intuit 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. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

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

Credit Karma seeks a visionary Staff Data Scientist II 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.

What you’ll do:

• 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

Minimum Requirement:

• 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

Pay Transparency Notice: 

Credit Karma’s mission of championing financial progress for all starts from within. That’s why we implemented role-based compensation, which ensures people who are in the same role receive the same pay with variations for geographic location only. It’s all part of a more comprehensive DEI strategy that helps level the playing field. The base salary range for this role is $413,306, plus equity and benefits. 

Benefits at Credit Karma includes:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
• Education Perks
• Paid Gift Week in December