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Principal PM-T, Core Shopping Data Science

Amazon.com Inc

  • Seattle, WA
  • 8 days ago

    Highlights

    We believe data science is the discipline of making smart decisions and we empower feature owners and systems by 1) developing and vending metrics which assess and value customer engagement, 2) building tools and datasets to inject data into the decision-making process, and 3) delivering deep analyses to inform high touch decisions. Drive content valuation: align program owners on imputed KPI values, replace assumed valuations with empirical estimates where measurement supports it, and build the simulation tooling leadership needs to adjudicate disputes with data rather than judgment.

    Numbers & Facts

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

    Description

    Amazon has a rich and diverse ecommerce business that spans beyond shopping to Pharmacy, Grocery, Prime Video, Devices, and more. But how do help customers discover these products and services while shopping on Amazon? We are looking for a Principal Product Manager - Technical to own the product vision and roadmap for strategic placement allocation across Amazon"s owned-and-operated (O&O) surfaces. The role demands deep partnership across product management, UX design, engineering, science, and operations. Experience building products for global customers and adapting roadmaps with regional teams is essential. This is high-visibility, high-autonomy work with direct access to senior leaders across Stores.

    This role sits at the intersection of content marketing, shopping CX, economics, and the strategic businesses across Stores. Success means strategic content lands in the right context for the right customer. The framework you build will govern billions of impressions per year and inform Amazon"s broader thinking on how O&O and paid media compose at scale.

    Key job responsibilities

    • Own the product vision, multi-year roadmap, and execution for strategic placement allocation, from short run schedulers to long term dynamic content ranking.
    • Drive content valuation: align program owners on imputed KPI values, replace assumed valuations with empirical estimates where measurement supports it, and build the simulation tooling leadership needs to adjudicate disputes with data rather than judgment.
    • Partner with ranking science teams to specify the integration that lets valuations flow into algorithmic selection, replacing manual scheduling with optimized value-based placement across all O&O surfaces.
    • Operate as the connective tissue between the strategic businesses (Pharmacy, Grocery, Prime Video, Devices, AHS, One Medical, Stores) and the platform teams (Percolate, Homepage, Marketing). Translate program goals into KPI definitions, conversion measurement plans, and valuation inputs the system can act on.
    • Set the bar for valuation transparency, auditability, and incentive alignment. Programs should be rewarded for improving conversion, not for consuming impressions.
    • Influence and align senior stakeholders (Director and VP) across multiple orgs; raise tradeoffs clearly and drive crisp decisions.

    About the team

    The mission of the Core Shopping Data Science team is to provide the data-driven foundation for building a world class shopping experience that maximizes long-term free cash flow by delighting customers. We focus on the long term and big picture to ensure that the full Amazon shopping experience balances strategic trade-offs. We believe data science is the discipline of making smart decisions and we empower feature owners and systems by 1) developing and vending metrics which assess and value customer engagement, 2) building tools and datasets to inject data into the decision-making process, and 3) delivering deep analyses to inform high touch decisions.

    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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