Sr. Product Manager - Technical, Responsible AI

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
• [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.