Want to stop fraudsters and make a direct multi-million dollar impact to Amazon"s bottom line? Come join the AWS Payments & Fraud Prevention team as a Senior Product Manager - Tech, where you will own the evolution of AWS"s trust scoring mechanisms and real-time risk evaluation platform.
We are seeking a product leader who will own the strategy and evolution of how AWS evaluates customer trust - defining what signals matter, how risk is scored, and how those scores translate into real-time decisions that protect AWS and its customers from fraud and abuse. You will drive the next generation of AWS"s trust scoring mechanisms, expanding coverage, improving accuracy, and ensuring scores remain actionable as fraud patterns evolve. You will also define how real-time risk evaluation scales across AWS services, so that fraud prevention keeps pace with the growth of AI and emerging product surfaces. The ideal candidate brings deep experience building and evolving risk or trust scoring products, a strong instinct for translating ambiguous fraud signals into durable product mechanisms, and a track record of driving product strategy at scale.
Key job responsibilities
Trust Scoring Evolution: Own the product roadmap for AWS"s next-generation trust scoring system. Define how customer risk is modeled across account lifecycle signals - registration behavior, payment history, usage patterns, organizational relationships, and network signals. Drive continuous improvement in score accuracy, coverage, and freshness to ensure enforcement decisions are precise and durable.
Real-Time Risk Evaluation: Define how real-time risk signals are evaluated and acted upon across AWS services. Drive the strategy for expanding risk evaluation coverage to new product surfaces - including compute and AI services - ensuring that fraud and abuse are detected and contained before they generate significant impact. Partner with data science and engineering to improve signal quality, reduce latency, and increase the precision of enforcement recommendations.
Compute & AI Abuse Detection: Build the risk evaluation capabilities needed to detect and contain abuse of AWS compute and AI resources. Define how usage and behavioral signals are evaluated against customer risk profiles to identify anomalous activity early. Partner with data science and engineering to improve detection precision and reduce time-to-enforce.
Cross-Functional Leadership: Partner with AWS service teams, Identity, Finance, Legal, Engineering, and Science to align on fraud prevention strategy and drive execution. Influence without authority across engineering, science, and product organizations. Represent trust scoring and risk evaluation in executive-level reviews.