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Principal Product Manager - Technical, Autos AI , Amazon Autos

Amazon.com Inc

  • Seattle, WA
  • 8 days ago

    Highlights

    You set a 3-5 year vision, prove the highest-impact wedges with working prototypes, and drive Ads, Discovery, Data and Science, and Dealer Experience teams to adopt AI-native patterns at scale. Drive Discovery, Ads, Data and Science, and Dealer Experience teams to adopt AI-native patterns, and build alignment across organizations that hold different priorities.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Amazon Autos is building the end-to-end vehicle buying experience on Amazon. We launched in the consumer-experience era; we are now redesigning for the AI era, and every surface (shopping, advertising, dealer intelligence, attribution, in-store) has to be rethought for what AI now makes possible. This role owns the AI product strategy and the new AI-native surfaces for Amazon Autos, in an area where the problem, the opportunity, and the strategy are not yet defined. You set a 3-5 year vision, prove the highest-impact wedges with working prototypes, and drive Ads, Discovery, Data and Science, and Dealer Experience teams to adopt AI-native patterns at scale. Your impact comes from influence without authority across many organizations, carried by narratives that earn decisions in rooms up to the SVP level.

    Key job responsibilities

    Own the Autos AI strategy and its 3-5 year vision. Author decision narratives that set organizational direction and go to Directors, VPs, and SVPs. Drive the AI parts of planning. Own the product strategy for AI discovery and agentic shopping: Alexa Shopping Assistant and agent experiences that reshape how customers find and buy vehicles. Ship working AI prototypes that move from concept to artifact in weeks, using the prototype as the specification. Drive Discovery, Ads, Data and Science, and Dealer Experience teams to adopt AI-native patterns, and build alignment across organizations that hold different priorities. Establish frameworks the org uses to decide build, integrate, or wait on AI investments. Model the AI-augmented way of working for the PM community; mentor and coach, and contribute to Principal PM assessments.

    A day in the life

    You start reviewing the last prototype"s telemetry: retrieval quality on a hard shopping query, model latency, dealer signal in the response. You walk into a Director review with a working AI agent, not a slide deck; the demo settles the debate. You spend an afternoon in a whiteboard session with a principal engineer, pushing on architecture trade-offs. You end the day writing a two-pager naming the AI wedge for the next quarter and land it in your manager"s inbox. You publish a working prototype to a small dealer cohort, and watch what customers actually do.

    About the team

    Amazon Autos is building the end-to-end vehicle buying experience on Amazon, from research and discovery through purchase, financing, and delivery. Our team combines product, engineering, science, and dealer partnerships to make Amazon the best place to find and buy a car. We move fast, prototype constantly, and treat AI as a first-class capability across every surface. The team uses AI to build AI: prototype-as-spec, AI-accelerated delivery. Small team, very large surface area, real autonomy, and a clear opportunity for growth.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

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    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

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