AI Principal Product Manager-Technical, Alexa AI

Position: AI Principal Product Manager-Technical, Alexa Responsible AI
Description

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 '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…