- Own the 3-5 year strategic product vision and roadmap for credit and fraud risk management, defining what to build, why it matters, and how to measure success across a multi-billion dollar lending portfolio
- Drive innovation through Generative AI and AI agents — identify and deliver use cases where foundation models, autonomous agents, and intelligent automation can transform credit decisioning, fraud detection, and risk operations
- Architect AI-native product solutions for real-time credit underwriting, dynamic line management, fraud pattern recognition, and automated risk remediation
- Set the technical product strategy for how AI capabilities (GenAI, ML models, agents) integrate into credit and fraud systems — evaluating which AI approaches will become competitive necessities and shaping platform architecture accordingly
- Drive clarity in high-ambiguity environments where the problem, opportunity, and strategy are undefined — distill diverse inputs from regulators, risk teams, customers, and stakeholders into a coherent product vision
- Influence strategic direction across multiple VP-level organizations including Payments, Amazon Business, Technology, and Seller Partner Services through written narratives, PR/FAQs, and executive forums
- Partner with Science and Engineering leaders to evaluate emerging AI architectures, shape technical trade-offs, and ensure platform decisions today do not constrain strategic options tomorrow
- Establish metrics frameworks and experimentation strategies that measure the effectiveness of AI-driven risk decisions, including novel approaches to model explainability and fairness
- Actively recruit, mentor, and develop PM talent; contribute to the PM community through coaching, promotion assessments, and best-practice evangelism
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience technical product management
- 5+ years of owning program strategy, end to end delivery, and communicating results to senior leadership experience
- Experience performing complex business case analysis to justify technical decisions and presenting the justification to management in a high-level review
- Experience with AI/ML technologies
- Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions
- Experience making strategic business decisions and managing internal relationships, or experience using financial models, KPIs, and data analysis to inform business decisions with proven business impact (e.g., financial savings, operational improvements, or customer benefits)
- Experience building credit underwriting, fraud detection, or financial risk management products in fintech or financial services
- Hands-on experience defining product strategy for Generative AI, LLM-powered applications, or autonomous AI agent systems
- Track record of recruiting, mentoring, and developing product management talent
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
- Experience in development of distributed/scalable systems and high-volume transaction applications
- Deep understanding of credit risk modeling, fraud analytics, and regulatory frameworks (KYC/AML, fair lending, data privacy)
- Experience working with diverse and international B2B customer segments across multiple geographies
- Track record of shaping how products are architected for AI use cases, with the judgment to evaluate which AI capabilities will become competitive necessities versus passing trends
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle – 179,900.00 - 243,400.00 USD annually
