PMT III - External Services, AWS Payments & Fraud Prevention

Detection & Prevention

Own the roadmap for compromise detection spanning sign-in anomaly detection, behavioral signals, API key exposure monitoring, and customer education. Partner with data science and engineering to improve signal quality, reduce false positives, and shrink time-to-detect for novel attack patterns.

AI-Powered Recovery

Lead the strategy to use AI and automation to transform account recovery across all customer segments (individual developer, enterprise, SMB). Design flows that balance security rigor with speed, and explore agentic AI approaches to automate triage, verification, and remediation at scale.

Integration & Ecosystem

Drive the integration roadmap across internal and external platforms to empower customers with a unified, actionable view of their security posture enabling them to quickly identify, understand, and respond to compromise threats across their AWS environment.

Resource Cleanup & Remediation

Own post-compromise cleanup strategy, including automated identification and cleanup of unauthorized resources. Build self-service tooling that empowers customers to remediate quickly.

Customer Engagement

Regularly engage with customers who have experienced compromise. Synthesize qualitative insights with quantitative signals (recovery time, re-compromise rates, support contacts) to continuously improve the product.

Cross-Functional Leadership

Partner with Identity, AWS Security, and external security experts. Influence without authority across engineering, science, and security teams. Represent the account compromise domain in executive-level reviews.

Basic Qualifications

• 5+ years of technical product management with internet business experience
• Experience overseeing roadmap strategy and definition throughout the product life cycle from concept to end of lifecycle
• Experience contributing to engineering discussions around technology decisions and strategy
• Acts as an owner, removing obstacles and doing what's necessary to solve problems and delight customers
• Ability to navigate ambiguity independently and drive clarity where none exists
• Experience using AI tools to accelerate product development, research, and decision-making

Preferred Qualifications

• Experience in cybersecurity, identity, or fraud prevention product management
• Hands-on experience shipping AI/ML products that solve complex customer problems at scale
• Experience with security, compute, and AI cloud services
• Track record of influencing cross-functional roadmaps across engineering, science, and security teams

Pay

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.

• USA, WA, Seattle - 152,200.00 - 205,900.00 USD annually