Sr. Product Manager - Technical, Responsible AI

Amazon is hiring a Sr. Product Manager - Technical, Responsible AI in Seattle, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Claude, Claude Code and AI safety among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Define product vision and strategy for Amazon's internal AI governance platform ensuring safe, fair, and compliant AI development.

ClaudeClaude Code

ai-safetyproduct-managementai-governanceregulatory-complianceproduct-strategycross-functional-leadership

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.

As a PMT on the Responsible AI team, you will define and drive the product strategy for our AI governance platform, working at the intersection of technology, policy, and science. You'll partner deeply with engineering teams building the platform, Applied Scientists developing AI-powered classification and assessment models, and policy experts interpreting regulatory requirements — turning ambiguity into a clear, prioritized roadmap that delivers customer value.

This role is for product leaders who thrive in ambiguity, are energized by the challenge of defining new product categories, and are motivated by the societal impact of ensuring AI systems are developed responsibly.

Key job 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

About the team
Amazon Responsible AI works to maximize the benefits and minimize the risks of AI technology across Amazon. We define responsible AI through core dimensions — Fairness, Safety, Privacy, Security, Veracity, Robustness, Explainability, Transparency, Controllability, and Governance — and we build the tools and programs that help Amazon's builder teams deliver on those dimensions at scale. Our team includes Applied Scientists, Amazon Scholars, Security Engineers, TPMs, SDEs, and policy specialists. We are science-led, independent advisors who prioritize enablement over enforcement — providing expert guidance and practical solutions that make responsible AI easy to implement. We are building the next generation of AI governance infrastructure from the ground up.

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve

Basic 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

Preferred qualifications

- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
- Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products
- Developing documents, prototypes, and / or software using GenAI tooling such as Kiro or Claude Code.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 - 151,200.00 - 204,600.00 USD annually

How we rate this

Sr. Product Manager - Technical, Responsible AI at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Product Manager - Technical, Responsible AI is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $151k-$205k a year.
The role is based in US, WA, Seattle.
The job was posted on July 15, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyProduct ManagementAI GovernanceRegulatory ComplianceProduct StrategyCross Functional LeadershipClaudeClaude Code

Also common in AI product manager jobs at this level

AI agents LLM Machine learning AWS SQL Azure

Pay

This job starts at: $151k
Typical AI product manager job: $178k

This posting starts 15% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

How do you think about the risk of an AI system in this kind of role failing silently?
Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where ai governance was part of your work. What did you do?
Tell me about a project where regulatory compliance was part of your work. What did you do?
Tell me about a project where product strategy was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Safety, Product Management, AI Governance, Regulatory Compliance, and Product Strategy. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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