Senior Staff Product Manager Fraud Risk jobs at Intuit in United States, Mountain View

As a Senior Fraud and Risk Analyst, you will partner with a wide range of cross-functional teams to understand and document our risks and controls, monitor and test the effectiveness of risk controls, and/or validate models to ensure a strong first line of defense control environment. You will deep dive into data and business processes and interact with leaders to showcase end-to-end controls at various stages of the customer lifecycle, control effectiveness, and/or model performance. More importantly, you will drive the transformation of governance work to unlock the power of data and technologies to better serve our business and customers.

• Understand business processes, risks, and controls quickly and in-depth with a focus on assessing and documenting risks and controls for new offerings and initiatives while building strong relationships with stakeholders in Product, Policy, Data Science, Operations, Accounting, and Compliance
• Drive risk and control assessments, including documentation of process narratives, flows, and control definitions that mitigate risk to be maintained within a GRC tool
• Conduct and/or participate in detailed walkthroughs and inspection testing with cross-functional teams to establish controls and determine effectiveness, identify gaps, and propose recommendations
• Identify, evaluate, and document testing of controls and/or independent validation of models, systematically retaining documents that substantiate testing and validation results according to plans
• Develop dashboards and visualization for daily control monitoring capabilities to ensure business processes are working in compliance with risk policies
• Retrieve, analyze, and interpret data from various sources to determine conclusions and/or recommendations
• Deep-dive into problems and resolve issues to drive conversations forward across teams
• Drive remediation efforts, create and track action plans, and support the timely resolution of issues to mitigate control findings or deficiencies with stakeholder groups
• Document and communicate concisely and regularly to non-technical audiences, both in verbal and written presentations
• Create procedures, dashboards, alerts, scripts, and/or other automations to increase efficiency and productivity in risk governance processes
• Perform insightful analyses of complex processes or requirements highlighting key trends and areas of focus and demonstrate a strong understanding of their association to risk and controls, policies, and/or models
• Follow industry trends to develop strategic solutions that are best-in-class and meet industry standards from a risk governance perspective

Bay Area California $144,000 - $195,000

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

• 4+ years of relevant business experience including Risk, Finance, Compliance, Audit, or other related subject areas
• Bachelor’s degree (Master’s degree preferred) in STEM, Business, Accounting, or related field
• Experience with R, Python, and advanced SQL skills and proficiency in visualization tools such as Tableau, Quicksight, or others
• Clear understanding of risk and controls management, testing, and/or model validation methodologies
• Strong project and time management skills with ability to lead, multi-task, and prioritize multiple workstreams independently while delivering effective results
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Team player with proven relationship-building skills and comfortable interacting with different levels of leadership
• Knowledge of statistical methods, techniques, and formulas to test and determine the reliability and soundness of results
• Experience and passion with automating manual process and streamlining work systematically
• Strong analytical mindset, business acumen, and a drive/curiosity for continuous learning
• Familiarity with machine learning and artificial intelligence models; knowledge of both theory and application to different use cases is a plus
• Experience in Fintech with a focus on risk and controls management is preferred

• Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company
• Drives significant technology initiatives end-to-end, including horizontal layers of the architecture
• Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems
• Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment
• Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership
• Knowledge of building AI native applications
  • Guides theapplicability of AI to customer problemsthrough a deep understanding of the value and limitations of AI technologies
  • Understands evaluation tools to validate andmeasure the accuracyof solutions
  • High-level understanding of how AI models work, the differenttypes of AI models that exist, and their pros and cons
  • Understanding of the latest tools and technologies that apply AI to real-world applications
• Creates robust, scalable, and secure technical designs , effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications
• Passionate forcontinuous learning, experimenting, and applyingcutting-edge technology and software paradigms to solve customer problems

Team/ Collaboration:

• Partners with other groups both inside and outside of Intuit for cross-functional design, development, and integration
• Works with cross-functional team members from Architecture, Product Management, and Operations to design, develop, test, and release features

Community:

• Contributes to standards, patterns, and best practices that improve the engineering community
• Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements

• Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
• 8+ years of experience developing systems/software for large business environments
• 5+ years of experience designing complex distributed systems, management products, or business applications
• Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions
  • Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python
  • Experience with at least one of the following:
    • Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)
    • Back-end technologies like Java, Typescript, Spring, Express (NodeJS)
• Prior working experience in a cloud computing environment like AWS/GCP is highly desired
• Prior experience working in teams that have built AI native applications for 1+ years
• BS/MS in Computer Science or related area

Team/Leadership Qualifications

• Team player possessing strong analytical, problem-solving, and communication skills
• Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
• Prefers working in a team and collaborates with other cross-functional partners
• Ability to work effectively in a fast-paced, complex technical environment
• Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
• "Self-starter" attitude and the ability to make decisions independently
• Experience driving for results across cross-functional teams while maintaining effective working relationships
• Demonstrated ability to work with global teams across time zones

strategies for voice, tone, patterns, and accessibility; and partnering with product, technical, legal, and compliance partners to create effective and engaging content experiences.

• Lead the development and implementation of content design strategies for a suite of products — specifically, Reporting and Business Intelligence
• Write clear, concise, and engaging content for a variety of audiences and purposes
• Train product designers to effectively employ generative AI writing tools in crafting effective messaging for user flows
• Support product designers in their content work, through coaching sessions or office hours
• Coach and mentor other content designers on voice, tone, patterns, and accessibility. Review and edit content created by other designers
• Collaborate with product managers, engineers, and other stakeholders, including marketing, to ensure that content is aligned with user needs and business goals
• Conduct user research to understand user needs and preferences
• Use data to define success, support hypotheses, and understand trends, collaborating with data partners to gain insights and ensure data usability
• Contribute to roadmapping and planning, making informed decisions
• Create content prototypes and mockups to test with customers
• Present strategic and executional work at all levels of leadership, soliciting and acting on feedback received
• Stay up-to-date on the latest trends in content design and development

• Bachelor's degree in English, Communications, or a related field preferred
• 7+ years of experience in content design or a related field
• Strong portfolio showing content design deliverables, including strategies
• Excellent writing and editing skills
• Experience with content strategy, information architecture, and user experience design
• Strong understanding of design principles and best practices
• Ability to work independently and as part of a team
• Excellent communication and interpersonal skills

• Create full stack applications with a deep understanding of customer needs and ability to quickly translate insights into working proof-of-concept code

• Deliver high quality web application code and contributing to overall site stability by conducting code reviews and writing unit and integration tests
• Contribute to the design/architecture of the project and developing web software while implementing best practices for architecture, design, coding standards & CI/CD
• Be responsible for roughly 80-90% hands-on coding and serve as a technical leader by mentoring junior engineers and applying technical expertise to challenging programming and design problems
• Work collaboratively with AI experts and integrate AI into existing systems, leveraging expertise and guidance as needed
• Propose AI solutions that can be applied to a variety of problems

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

• 5 years of JavaScript application design and testing experience
• 5 years of experience in mid-tier languages, such as Java
• Experience with test automation: TDD, unit/integration/functional testing
• Experience with Relational Database Design and Implementation
• Experience in UI frameworks like React, Backbone, Angular
• Experience building CI/CD pipelines
• Possess basic understanding of AI concepts and foundations
• Ability to work collaboratively with AI experts and integrate AI into existing systems as needed, with guidance
• Familiarity with data and metrics required for building and evaluating AI models
• Conversant with AI Native principles and able to apply them to software development
• Strong problem-solving skills and ability to think creatively about AI solutions
• Ability to communicate effectively with cross-functional teams, including AI experts and stakeholders

• Technology leaders at Intuit think strategically and drive for results. They build high performing teams by putting the right people in the right job at the right time. Leaders help to innovate by thinking differently. They lead their teams to embrace new ideas that produce outstanding results for our customers. Leaders at Intuit inspire others through action by creating a spirit of collaboration.
• In this role you will help to bring out the best ideas from the best engineers by empowering them and leading by example.
• Your team will create and bring customer driven software products to market that simplify and solve for current customer needs while building for the future.
• To accomplish this you will create a shared vision and build and maintain strong cross-functional relationships / alignment with partners across the business (e.g. Program Mgmt, Product Management, Design).
• Experience in building tools with both Frontend and Backend capabilities
• You will foster a culture of technical excellence, innovation, and continuous improvement within your team.
• You will mentor and develop engineers, helping them grow their technical skills and advance their careers.
• You will stay abreast of the latest advancements in AI, automation, and related technologies to identify opportunities for enhancing our Agentic Experiences.

Bay Area California $238,500 - $322,500

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 ).

• 8+ years experience as an established technical leader of software engineering teams that have successfully delivered customer-driven software products.
• Demonstrated experience leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective engineering teams. Adept at articulating the product vision and drive the future roadmap with strong business acumen
• Ability to think and act strategically for all stakeholders
• Passion for being at the leading edge of technology with a minimum of 12-14 years of hands on software development experience (list specific tech exp)
• Experience with Agile development and methodologies and SaaS and technologies. • Possesses strong verbal and written communication skills.
• BS in Computer Science / MIS or equivalent work-related experience
• Experience in building tools with both Frontend and Backend capabilities
• Experience in building real time platform and services which supports multi tante
• Experience in AI and GenAI - an advantage
• Experience in Fintech and/or financial Risk & Fraud, payment etc - an advantage Proven track of execution, engineering excellence and customer obsession
• Proven record of working in a cross organization environment

Fraud Detection & Investigation

• Monitor alerts and analyze real-time signals to detect suspicious activity (e.g., account takeover, check kiting, synthetic identity, mule activity, ACH fraud, remote access tools).

• Investigate and resolve fraud cases across onboarding, KYC, account funding (e.g., ACH, Plaid, RTP), and account usage stages.

• Leverage fraud tools and external vendor data to review high-risk activity and recommend actions. Data-Driven Analysis
• Analyze fraud trends and patterns using data analytics tools (SQL, Excel, dashboards) to identify emerging threats or gaps in current detection logic.

• Support creation and tuning of fraud detection rules, machine learning models, and velocity checks in collaboration with fraud strategy and data teams.

• Track key fraud KPIs (e.g., fraud loss rates, false positive rates, return reasons like R05/R10) and prepare reports for stakeholders. Operational Efficiency & Documentation
• Respond to fraud-related escalations from customer support and other internal teams.

• Assist in refining workflows and automations to improve response time and operational throughput.

• Document fraud scenarios, case investigations, root cause analysis, and preventive actions.

Cross-Functional Collaboration

• Work closely with compliance, risk policy, customer support, engineering, and external vendors.

• Participate in projects related to new product launches, fraud tooling enhancements, and regulatory reviews (e.g., SAR filings support).

• Provide fraud subject matter expertise in discussions related to account security, identity verification, and payment flows.

Bay Area California $172,000- $232,500

• 5–7 years of experience in fraud operations or fraud analytics, preferably in fintech, banking
• Bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience
• Strong understanding of fraud typologies relevant to consumer financial products (e.g., synthetic identity, phishing/ATO, 1st/3rd party fraud, ACH disputes).
• Experience with fraud tools and platforms (e.g., Alloy, Sift, Ekata, Kount, etc.)
• Proficiency in analyzing fraud data using SQL and/or Excel; familiarity with Looker or other BI tools is a plus.
• Familiarity with banking regulations and fraud return codes (e.g., ACH NACHA rules, Reg E, KYC/AML basics).
• Strong analytical, investigative, and problem-solving skills.
• Excellent communication and documentation skills.

Nice to Have

• Experience in fraud for digital banking, challenger banks, or fintech products.
• Exposure to fraud rules management or machine learning-based detection systems.
• Prior work with ACH return reason codes, dispute handling, or chargeback processes.

We are seeking an experienced Principal Product Manager to lead the strategic planning and delivery of integrated Mid-Market and shared ecosystem experiences for our payments and invoicing products. This role requires a leader with a deep understanding of the payments industry, exceptional execution and delivery excellence, and the ability to drive cross-functional initiatives that enhance our product offerings.

• Strategic Vision and Roadmap Development: Define and articulate a compelling MM product vision and strategy for our payments and invoicing ecosystem, aligning with overall business objectives and market opportunities. Develop and maintain a comprehensive product roadmap that addresses customer needs and positions the company as a leader in the industry.
• Cross-Functional Leadership: Lead cross-functional teams, including engineering, design, marketing, sales, and customer support, to ensure cohesive product development and delivery. Foster a collaborative environment that encourages innovation and continuous improvement.
• Market and Customer Insight: Conduct thorough market research and gather customer feedback to identify pain points, opportunities, and emerging trends. Utilize these insights to inform product decisions and prioritize features that deliver exceptional value to our users.
• Product Development and Execution: Oversee the end-to-end product development lifecycle, from concept through launch and iteration. Ensure timely delivery of high-quality products that meet or exceed customer expectations.
• Stakeholder Engagement: Engage with internal and external stakeholders to communicate product vision, gather requirements, and ensure alignment. Act as the primary point of contact for all matters related to the payments and invoicing ecosystem.
• Performance Monitoring and Optimization: Define key performance indicators (KPIs) to measure product success. Analyze product performance data to identify areas for improvement and implement strategies to optimize user experience and business outcomes.

• Educational Background: Bachelor’s degree in Business, Computer Science, Engineering, or a related field. An MBA or advanced degree is a plus.
• Experience: A minimum of 10 years of product management experience, with at least 5 years in the payments or financial technology industry. Proven track record of leading complex product initiatives that resulted in significant business growth.
• Leadership Skills: Demonstrated ability to lead and inspire cross-functional teams.
• Experience in managing and mentoring product managers is highly desirable.
• Strategic Thinking: Strong strategic planning skills with the ability to translate market insights into actionable product strategies.
• Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey complex ideas to both technical and non-technical audiences.
• Analytical Aptitude: Proficiency in data analysis and the ability to make data-driven decisions. Familiarity with analytics tools and methodologies.
• Technical Proficiency: Understanding of payment processing systems, invoicing platforms, and related technologies. Ability to engage effectively with engineering teams on technical topics.