AI-First Credit & Fraud Risk Platform Lead

Amazon Inc.

Seattle (WA)

On-site

USD 180,000 - 243,000

Full time

2 days ago

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Job summary

Amazon in Seattle, WA is seeking a Principal Product Manager to own the strategic vision and multi-year roadmap for a next-generation credit and fraud risk platform. You will define the problem space, set the vision, and architect AI-native solutions that don’t exist yet.

You will partner with science, engineering, operations, and business teams across multiple organizations to deliver transformational risk capabilities, influence senior leaders, and establish metrics to measure success in a

Qualifications

Bachelor's degree in a relevant field.
Experience owning roadmap strategy and definition.
Experience with feature delivery and tradeoffs.
Experience in technical product management.
5+ years of owning program strategy, end to end delivery, and communicating results to senior leadership.
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.

Responsibilities

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.