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Senior Product Manager

Amazon.com Inc

  • Austin, TX
  • 2 days ago

    Highlights

    Your job is to make them faster, sharper, and more confident in their decisions, whether that"s through AI agents that surface insights at the point of decision, forecasting models that replace legacy planning systems, or data integrations that give merchants end-to-end visibility from supplier to shelf. One hour you"re reviewing AI capability adoption trends and refining the product roadmap, the next you"re in a cross-functional sync resolving data dependencies with engineering and analytics partners.

    Numbers & Facts

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

    Description

    Help shape how Whole Foods Market merchants plan, forecast, and make decisions, and put AI-powered tools in their hands to do it better. As a Senior Product Manager, you"ll own the product strategy for intelligent automation, next-generation forecasting models, and the data foundations that connect them. You"ll work at the intersection of AI/ML, merchant experience, and supply chain data to build capabilities that fundamentally change how category managers operate across one of the world"s most trusted grocery brands.

    Whole Foods Market is known as the number one grocer suppliers want to be in, and our merchants are central to that reputation. Your job is to make them faster, sharper, and more confident in their decisions, whether that"s through AI agents that surface insights at the point of decision, forecasting models that replace legacy planning systems, or data integrations that give merchants end-to-end visibility from supplier to shelf. You"ll partner closely with engineering, UX research, analytics, and business teams spanning Amazon and WFM to translate complex technical capabilities into tools merchants trust and adopt.

    Key job responsibilities

    Own the product strategy and roadmap for AI-powered merchant intelligence tools, including adoption strategy, capability governance, and merchant enablement

    Lead cross-functional execution of forecasting model migration: defining success criteria, orchestrating data readiness, managing cross-team dependencies, and driving go/no-go decisions

    Drive data integration and catalog harmonization initiatives across multiple systems and organizations, resolving complex upstream and downstream dependencies

    Define product requirements for new analytical capabilities, including store clustering, category intelligence, and assortment optimization, from problem framing through OP1 commitment

    Earn merchant trust through direct engagement: translating technical capabilities into business value, validating solutions in the field, and building feedback loops that inform the roadmap

    Navigate a complex stakeholder landscape spanning product, engineering, supply chain, UX, and merchandising organizations across both Amazon and Whole Foods Market

    A day in the life

    You"ll move between strategic planning and hands-on execution in a single day. One hour you"re reviewing AI capability adoption trends and refining the product roadmap, the next you"re in a cross-functional sync resolving data dependencies with engineering and analytics partners. After lunch, you might walk category managers through a new capability prototype, then pivot to a UX research debrief that reshapes how you think about the planning workflow. You"ll regularly translate between technical ML conversations and practical merchant needs. Expect to partner with teams across Amazon and WFM, navigate ambiguity, and drive clarity where there isn"t any yet.

    About the team

    Our team builds the tools and platforms that Whole Foods Market category managers rely on to plan, price, promote, and merchandise products. Our portfolio spans assortment planning, pricing optimization, promotions planning, and space and merchandising execution, all powered by a shared data foundation and increasingly driven by AI. We"re at an inflection point: transitioning from legacy planning systems to intelligent, data-driven capabilities that change how merchants work. We build in close partnership with Amazon"s retail, technology, and operations teams. We move fast, operate with high ambiguity, and value PMs who earn trust with both engineers and merchants.

    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.

    It’s Always Day 1
    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

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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