AI Principal Product Manager-Technical, Alexa Responsible AI

Define What Trustworthy AI Looks Like at Amazon's Scale

Alexa+ is Amazon's next-generation, generative AI-powered assistant — and trust is its most important feature. As the AI Principal PMT for Alexa Responsible AI, you won't just manage a product roadmap - You will define the standard for how one of the world's most widely used AI systems earns and keeps customer trust across every language, culture, device, and interaction. This is a role for a product leader who thinks systematically, moves fast, and has the conviction to make hard calls when the stakes are real.

The Mission
Responsible AI isn't a compliance checkbox. It's a product discipline and you will own it. You'll define the customer experience for safety guardrails, trust signals, and evaluation frameworks that determine whether Alexa is earning or eroding customer confidence. You'll make the go/no-go calls on features that affect millions of daily interactions — with the data, the customer story, and the scientific grounding to back every decision.

What You'll Own
Product Vision & Strategy
In today's AI landscape, strategy is written in weeks, not years. You'll set a bold, adaptive product vision for Responsible AI — defining near-term priorities with urgency while keeping a clear eye on where the technology and the customer need are heading. You'll author crisp vision documents that align science, engineering, policy, and legal teams around a shared north star for customer trust. You'll establish the KPIs that measure trust at scale and build the review mechanisms that surface regressions before customers ever encounter them.

Cross-Functional Leadership Across Alexa and Devices
This role operates at the intersection of some of Amazon's most consequential product decisions. You'll lead alignment across Applied Science, Engineering, Legal, Policy, and UX — not just within your immediate team, but across Alexa and Devices organizations at large. You'll be the connective tissue that turns ambiguous safety challenges into concrete, shippable solutions that scale across the full Alexa ecosystem.

You'll partner with Applied Scientists to translate breakthrough safety research — RLHF, reward modeling, adversarial robustness — into production-ready customer experiences. You'll navigate the regulatory and policy landscape proactively, partnering with Legal and Policy before new capabilities create new risks. And you'll represent Responsible AI priorities in senior leadership reviews, making the case for investment with airtight data and compelling customer impact.

Breadth of Ownership
Your scope spans the full responsible product experience: safety guardrails and trust frameworks, privacy and security implementation, and experiences designed for our most vulnerable customers — including children. You'll ensure that as Alexa+ grows more capable, it grows more trustworthy across every dimension that matters to customers and regulators alike.

Technical Product Depth
You understand how LLMs fail — hallucination, value misalignment, adversarial inputs — well enough to write requirements that solve the problem, not just describe it. You'll author the product requirements that guide safety model development, evaluation system design, and certification processes. When new capabilities create new risks, you'll frame the tradeoff, propose the mitigation, and drive the decision.

Organizational Impact
You'll mentor PMs across the org, raising the bar on how the team thinks about safety as a product discipline. You'll influence without authority across one of Amazon's most cross-functional domains — and you'll shape how Responsible AI scales across Alexa and partner teams worldwide.

What We're Looking For
* Deep experience shipping AI or trust-and-safety products at scale — you've navigated the full arc from research to production in high-stakes environments
* Technical fluency in LLMs and AI safety — you understand how modern language models work, how they fail, and what it takes to make them safer
* Track record of influencing without authority — across science, engineering, policy, and legal, at the most senior levels
* Exceptional written communication — you write documents that move organizations and create new product categories
* Bias for decisions over deliberation — you're comfortable operating in ambiguity and know when good-enough-now beats perfect-later
* Passion for responsible AI — you believe that safety and trust are competitive advantages, not constraints
* BS/MS/PhD in Computer Science, Engineering, or a related technical field (or equivalent experience)



A day in the life
You're reviewing a new Alexa+ capability with your science partner — excited about what it can do, clear-eyed about where it could fail. You write the requirement that captures both.
You're in a senior leadership review making the case for a safety investment that doesn't have an obvious revenue line — and you win it because your data is airtight and your customer story is compelling.
You're unblocking an engineering team by making a hard call on scope.
You're handling a complex customer escalation that requires clear thinking and fast judgment.
You're mentoring a PM who's learning to treat trust as a feature, not a constraint.
This is where product leadership meets real-world responsibility — and where your decisions shape the future of AI that hundreds of millions of people rely on every day.


About the team
Our team pioneers Responsible AI for Alexa and Amazon's conversational AI systems — ensuring safe, trustworthy experiences across all devices, modalities, and languages worldwide. We work on the hardest AI safety challenges at Amazon's scale, moving fast and shipping with the highest bar — because the stakes are real and customers are counting on us.

Basic Qualifications

- 8+ years of technical product or program management experience
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience with end to end product delivery
- Experience contributing to engineering discussions around technology decisions and strategy related to a product

Preferred Qualifications

- Experience in project management methodologies, business analysis, or process improvement
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- Experience working on Responsible AI or trust and safety areas
- BS/MS/PhD in Computer Science, Engineering, or a related technical field (or equivalent experience)

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.