Sr. Product Manager - Technical, Responsible AI
About the role
Description AI is transforming every corner of Amazon — and with that transformation comes the responsibility to get it right. The Amazon Responsible AI (RAI) team is building the systems and programs that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Sr. Product Manager - Technical who wants to define the product vision for AI governance at Amazon scale — building the tools and experiences that help thousands of builder teams develop AI responsibly without slowing down. No one has solved AI governance at this scale before. Today, tracking thousands of AI systems against evolving regulatory frameworks, internal expectations, and voluntary commitments is a problem that's impossible to manage manually. You'll define the product that makes it possible — automating what would take an army of auditors, and giving builders the tools to do the right thing without slowing down. This is a greenfield opportunity on a small, senior team building from scratch alongside Amazon Scholars, Principal Applied Scientists, and policy experts. You'll own the product vision and shape the platform direction.
Responsibilities
- Define the product vision, strategy, and multi-year roadmap for Amazon's AI governance platform — the system that provides portfolio-level visibility into AI compliance posture across the company
- Own the end-to-end product lifecycle for responsible AI tooling: from discovery and customer research through requirements definition, development, launch, and adoption at scale
- Translate complex regulatory requirements (EU AI Act, NIST AI RMF, emerging state/federal AI legislation) and internal responsible AI expectations into builder-friendly product experiences and self-service workflows
- Drive product strategy for AI system discovery, risk classification, and compliance evidence collection — working backward from builder needs to reduce friction while meeting governance obligations
- Define metrics and KPIs that measure responsible AI adoption, tool effectiveness, and compliance coverage — using data to prioritize roadmap investments and communicate progress to leadership
- Partner with Applied Scientists to shape AI-powered features (automated risk classification, compliance gap detection, evidence generation) and define how ML models integrate into the product experience
- Conduct customer research with internal builder teams across Amazon to deeply understand pain points, workflows, and compliance challenges — and turn those insights into prioritized product requirements
- Work cross-functionally with Privacy, Legal, Security, and RAI Science to ensure product decisions align with regulatory obligations, customer trust requirements, and scientific best practices
- Influence engineering architecture decisions by evaluating technical trade-offs, understanding system constraints, and ensuring the platform can scale to support Amazon's AI portfolio
- Develop and present product strategy, roadmaps, and business cases to VP+ leadership — clearly articulating the value proposition and investment rationale for responsible AI tooling
Qualifications
- Experience owning/driving roadmap strategy and definition
- 5+ years of technical product or program management experience
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning