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

About the Role
We are seeking a highly motivated and experienced Staff Data Engineer to lead the data architecture and engineering strategy for our experimentation platform. In this role, you will build and scale the data systems that enable reliable, consistent, and timely experimentation insights across the company. You will partner with data scientists, analysts, product managers, and other engineering teams to design robust data models, pipelines, and governance practices that support thousands of metrics and diverse statistical methodologies.

This is a high-impact, high-visibility position that demands strong software engineering and data engineering expertise, architectural leadership, and a passion for building highly available and performant distributed systems. You will define the technical roadmap and strategy for the experimentation platform’s analytics infrastructure, ensuring alignment with business objectives while pushing the boundaries of what’s possible in experimentation and data analysis.

Our experimentation platform is a distributed, highly available, low latency Finagle service. The platform leverages Google Cloud technologies, including Cloud Composer for workflow orchestration, Dataflow for data processing, and BigQuery for data warehousing. Our statistical engine applies a combination of Python libraries (e.g., Statsmodels, SciPy) and custom algorithms to analyze experiment results.

Responsibilities:

• Define Technical Strategy
  Provide the roadmap and architecture for the experimentation platform’s infrastructure, ensuring alignment with business objectives and adherence to industry best practices.
• Develop Near Real-Time Systems
  Lead critical initiatives to build our next-generation near real-time ecosystem, to enhance near real-time observability and alerting, leveraging Scala, Pub/Sub, Akka, and Dataflow on Google Cloud.
• Build Scalable Pipelines
  Architect and maintain large-scale batch data pipelines using Google Dataflow, BigQuery, and Airflow/Cloud Composer to handle high-volume, batch data processing.
• Develop Core Capabilities
  Enhance the experimentation platform with new capabilities such as experiment targeting and localized assignments at scale to reduce latency and improve developer experience.
• Optimize Data Infrastructure
  Drive efficiency and performance improvements across experimentation pipelines, frameworks, and query layers. Evaluate trade-offs in system design, balancing speed, scalability, cost, and accuracy.
• Stay Current with Industry Trends
  Research, evaluate, and integrate the latest advancements in experimentation methods, data analysis techniques, and cloud-based technologies to continually improve the platform.
• Mentor and Guide
  Provide technical leadership and support to junior engineers, fostering a culture of continuous learning and professional growth.
• Collaborate on Experiment Analysis
  Partner with marketers, analysts, and data scientists to build infrastructure that supports thousands of metrics and various statistical methods (e.g., t-tests, sequential testing, Bayesian analysis).

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, or a related field.
• 10+ years in software engineering, with a focus on data engineering and data architecture.
• Proficiency in Scala, Python, and SQL.
• Demonstrated success building and maintaining large-scale data pipelines using technologies such as Spark, Flink, Google Dataflow, BigQuery, or Airflow/Composer.
• Familiarity with Python libraries for statistical analysis (e.g., Statsmodels, SciPy).
• Deep understanding of software development lifecycle best practices, including agile methodologies.
• Excellent communication, collaboration, and stakeholder management skills.
• Proven ability to lead complex projects and mentor engineering teams.
• Proven expertise in A/B testing methodologies and statistical concepts.

What we would like to see:

• Previous experience building analytics pipelines at experimentation platform at large-scale tech companies serving millions of users or vendors (e.g., Optimizely, Statsig, LaunchDarkly) 
• Knowledge of heterogeneous treatment effects and advanced statistical modeling techniques for experimentation.
• Experience with adaptive experimentation or Bayesian optimization methods.

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 $354,878 (Oakland, CA) 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

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

About the Role
We are seeking a highly motivated and experienced Staff Data Engineer to lead the data architecture and engineering strategy for our experimentation platform. In this role, you will build and scale the data systems that enable reliable, consistent, and timely experimentation insights across the company. You will partner with data scientists, analysts, product managers, and other engineering teams to design robust data models, pipelines, and governance practices that support thousands of metrics and diverse statistical methodologies.

This is a high-impact, high-visibility position that demands strong software engineering and data engineering expertise, architectural leadership, and a passion for building highly available and performant distributed systems. You will define the technical roadmap and strategy for the experimentation platform’s analytics infrastructure, ensuring alignment with business objectives while pushing the boundaries of what’s possible in experimentation and data analysis.

Our experimentation platform is a distributed, highly available, low latency Finagle service. The platform leverages Google Cloud technologies, including Cloud Composer for workflow orchestration, Dataflow for data processing, and BigQuery for data warehousing. Our statistical engine applies a combination of Python libraries (e.g., Statsmodels, SciPy) and custom algorithms to analyze experiment results.

Responsibilities:

• Define Technical Strategy
  Provide the roadmap and architecture for the experimentation platform’s infrastructure, ensuring alignment with business objectives and adherence to industry best practices.
• Develop Near Real-Time Systems
  Lead critical initiatives to build our next-generation near real-time ecosystem, to enhance near real-time observability and alerting, leveraging Scala, Pub/Sub, Akka, and Dataflow on Google Cloud.
• Build Scalable Pipelines
  Architect and maintain large-scale batch data pipelines using Google Dataflow, BigQuery, and Airflow/Cloud Composer to handle high-volume, batch data processing.
• Develop Core Capabilities
  Enhance the experimentation platform with new capabilities such as experiment targeting and localized assignments at scale to reduce latency and improve developer experience.
• Optimize Data Infrastructure
  Drive efficiency and performance improvements across experimentation pipelines, frameworks, and query layers. Evaluate trade-offs in system design, balancing speed, scalability, cost, and accuracy.
• Stay Current with Industry Trends
  Research, evaluate, and integrate the latest advancements in experimentation methods, data analysis techniques, and cloud-based technologies to continually improve the platform.
• Mentor and Guide
  Provide technical leadership and support to junior engineers, fostering a culture of continuous learning and professional growth.
• Collaborate on Experiment Analysis
  Partner with marketers, analysts, and data scientists to build infrastructure that supports thousands of metrics and various statistical methods (e.g., t-tests, sequential testing, Bayesian analysis).

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, or a related field.
• 10+ years in software engineering, with a focus on data engineering and data architecture.
• Proficiency in Scala, Python, and SQL.
• Demonstrated success building and maintaining large-scale data pipelines using technologies such as Spark, Flink, Google Dataflow, BigQuery, or Airflow/Composer.
• Familiarity with Python libraries for statistical analysis (e.g., Statsmodels, SciPy).
• Deep understanding of software development lifecycle best practices, including agile methodologies.
• Excellent communication, collaboration, and stakeholder management skills.
• Proven ability to lead complex projects and mentor engineering teams.
• Proven expertise in A/B testing methodologies and statistical concepts.

What we would like to see:

• Previous experience building analytics pipelines at experimentation platform at large-scale tech companies serving millions of users or vendors (e.g., Optimizely, Statsig, LaunchDarkly) 
• Knowledge of heterogeneous treatment effects and advanced statistical modeling techniques for experimentation.
• Experience with adaptive experimentation or Bayesian optimization methods.

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

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 looking for an experienced Staff Product Researcher (Mixed Methods) to help advance our team and lead research initiatives that align to company priorities. As a member of our research organization, you’ll be playing a pivotal role in shaping the future of insights at Credit Karma and championing a member-centric approach to our products, business, and culture. 

Partnering closely with cross functional leaders across the company, you will showcase the potential for insight to have impact on both our members and our business. Our team conducts exploratory, formative, and evaluative research studies that unlock business outcomes and enable teams to make informed and confident decisions. In this role you’ll be expected to shape future roadmaps, identify high priority and critical questions, and influence change through your work. 

You have extensive knowledge and experience in qualitative research methods, as well as a good understanding of quantitative methods. You are able to bring together qualitative and quantitative data to create new and insightful points of view. 

You are self-motivated, detail-oriented, and able to work efficiently and effectively with cross-functional teams. You can perform and improvise under tight timelines and changing environments. You are a natural leader and an advocate for our Members. You are an excellent communicator, excited to work closely with stakeholders, comfortable in a flat, fast moving, collaborative organization, and motivated by Credit Karma’s mission to help champion financial progress for all!

What you’ll do:

• Identify research topics and plan studies to deliver significant impact on our members and company
• Directly lead research projects end-to-end, including planning, design, analysis, communication, and application of generative, formative, and post-launch evaluative research
• Package insights into durable tools, frameworks, and assets for designers, product managers, content strategists, and marketing partners to leverage (personas, frameworks, use cases, design principles, scenarios, etc)
• Drive leadership buy in and support by regularly meeting, presenting findings, connecting research insights to business outcomes and quantifying business value at the executive level
• Identify and shape creative and compelling ways to evangelize member-centricity, bring awareness to rigorously developed high quality insights, and the potential for integration of research throughout the company
• Define new programs, processes, and systems that help build the function of Research and Member Insights across the organization

Minimum Basic Requirement:

• 10+ years experience in applied research and consumer tech 
• Track record of proactively engaging and leading cross-functional teams through research initiatives, and delivering on measurable business outcomes
• Demonstrated ability to advocate for an organization’s customers and champion the effective integration of insights into the company 
• Demonstrated leadership in advancing the practice of research through high quality execution, identifying and creating relevant org-wide programs to grow the capability of the team
• Experience defining research roadmaps, prioritizing multiple efforts and leading highly complex multi-method research inquiries 
• Command of a broad set of qualitative and quantitative research and user-centered methods
• Expertise in quantitative research methods(surveys), experiment design,  behavioral analysis, and statistics
• Excellent communication skills, with strong ability to synthesize and communicate ideas visually, verbally, and in writing, influencing regularly at the executive level

Preferred Qualifications:

• Comfort and familiarity with quantitative methods, behavioral analysis, and/or statistical concepts
• Experience creating customer-centric deliverables (i.e. frameworks, journey maps, videos, etc.)
• Domain expertise in fintech
• A bachelor’s degree is required and a Masters or PhD degree is a bonus – a degree in Design, HCI, Communication, Social science, MSI, MBA, Psychology, Cognitive Science, Anthropology or a related field considered an advantage

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

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 looking for an experienced Staff Product Researcher (Mixed Methods) to help advance our team and lead research initiatives that align to company priorities. As a member of our research organization, you’ll be playing a pivotal role in shaping the future of insights at Credit Karma and championing a member-centric approach to our products, business, and culture. 

Partnering closely with cross functional leaders across the company, you will showcase the potential for insight to have impact on both our members and our business. Our team conducts exploratory, formative, and evaluative research studies that unlock business outcomes and enable teams to make informed and confident decisions. In this role you’ll be expected to shape future roadmaps, identify high priority and critical questions, and influence change through your work. 

You have extensive knowledge and experience in qualitative research methods, as well as a good understanding of quantitative methods. You are able to bring together qualitative and quantitative data to create new and insightful points of view. 

You are self-motivated, detail-oriented, and able to work efficiently and effectively with cross-functional teams. You can perform and improvise under tight timelines and changing environments. You are a natural leader and an advocate for our Members. You are an excellent communicator, excited to work closely with stakeholders, comfortable in a flat, fast moving, collaborative organization, and motivated by Credit Karma’s mission to help champion financial progress for all!

What you’ll do:

• Identify research topics and plan studies to deliver significant impact on our members and company
• Directly lead research projects end-to-end, including planning, design, analysis, communication, and application of generative, formative, and post-launch evaluative research
• Package insights into durable tools, frameworks, and assets for designers, product managers, content strategists, and marketing partners to leverage (personas, frameworks, use cases, design principles, scenarios, etc)
• Drive leadership buy in and support by regularly meeting, presenting findings, connecting research insights to business outcomes and quantifying business value at the executive level
• Identify and shape creative and compelling ways to evangelize member-centricity, bring awareness to rigorously developed high quality insights, and the potential for integration of research throughout the company
• Define new programs, processes, and systems that help build the function of Research and Member Insights across the organization

Minimum Basic Requirement:

• 10+ years experience in applied research and consumer tech 
• Track record of proactively engaging and leading cross-functional teams through research initiatives, and delivering on measurable business outcomes
• Demonstrated ability to advocate for an organization’s customers and champion the effective integration of insights into the company 
• Demonstrated leadership in advancing the practice of research through high quality execution, identifying and creating relevant org-wide programs to grow the capability of the team
• Experience defining research roadmaps, prioritizing multiple efforts and leading highly complex multi-method research inquiries 
• Command of a broad set of qualitative and quantitative research and user-centered methods
• Expertise in quantitative research methods(surveys), experiment design,  behavioral analysis, and statistics
• Excellent communication skills, with strong ability to synthesize and communicate ideas visually, verbally, and in writing, influencing regularly at the executive level

Preferred Qualifications:

• Comfort and familiarity with quantitative methods, behavioral analysis, and/or statistical concepts
• Experience creating customer-centric deliverables (i.e. frameworks, journey maps, videos, etc.)
• Domain expertise in fintech
• A bachelor’s degree is required and a Masters or PhD degree is a bonus – a degree in Design, HCI, Communication, Social science, MSI, MBA, Psychology, Cognitive Science, Anthropology or a related field considered an advantage

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 for this role is 313,661, 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

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 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

About the team and the role: 

Intuit Credit Karma seeks a seasoned Staff Data 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.

What you’ll do:

• 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.

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

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 for this role is $354,878, plus equity and benefits.

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 Credit Karma Product Design team evolves through collaboration, reflection and innovation. We’re always looking for ways to do better for our users and ourselves. Our team of designers is growing fast, which means you’ll have impact in a creative environment and help develop best practices.

What you’ll do:

• You will create high-quality user experiences that aim to help our members make financial progress through onboarding experiences, monetization flows, and other points of the member financial journey
• You will use data and analytics to produce member-focused hypotheses for iterative product experimentation.
• You will create experiments around hypotheses that gain learning from research or insights to identify new areas for our business
• You will carry ideas from early stage discovery through development and multiple rounds of iteration and changes
• You will uphold design standards, patterns, processes, and behaviors across our platforms
• You will partner with product managers, business leads, researchers, and analysts to explore and identify opportunities to solve member problems

What we are looking for:

• Have 8+ years of designing end-to-end experiences
• Proficient in Sketch, Figma, Adobe XD or similar
• Deep organization and execution skills, especially in collaboration with multiple stakeholders
• Experience with design thinking methodologies that guide teams towards user-centered outcomes
• Case studies of several projects in market, showing strong examples of discovery, iteration and impact on business metrics

What we would like to see: 

• Understanding of generative AI technologies and their potential applications
• Experience designing products that fit into complex systems and user journeys
• Experience partnering with Research and Analytics to gain insight and develop strategies to deliver high impact approaches

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

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 our primary banking and lending products, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk Data Science team. In this role, you’ll develop cutting-edge credit risk AI/ML fraud models to enable existing and new money movement 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 fraud risk AI science initiatives for the new and evolving Money product offerings, 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 and detect fraud risk for our primary banking product (CK Money) and various short-term lending products (e.g., tax refund advances, FNPL, 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
• 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 (not fraudsters) 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 Requirement:

• 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 fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data
• Relevant work experience in credit risk and/or financial fraud risk, with deep understanding of payment systems, money movement products, banking, and lending
• 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 fraud risk modeling concepts, including fraud score calibration, label bias correction, case disposition logic, and network or graph-based link analysis for identifying organized or collusive fraud patterns.
• 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.