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Principal Product Manager - Tech, New Product Success

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago

    Highlights

    Shape the economic model that makes launching guided selection the rational choice for sellers - spanning fee incentives, discovery support, and risk-sharing mechanisms that close the gap with low-cost competitors. That means finding what customers want but can"t find using internal and external signals, sizing and ranking those gaps, personalizing them for each seller, and setting up for success each opportunity through launch and discovery across shopping surfaces.

    Numbers & Facts

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

    Description

    Most AI in commerce helps customers find what already exists. We help shape what should exist.

    Third-party sellers account for about 60% of units sold in Amazon"s stores. New Product Success helps them identify, launch, and scale new products, and helps customers discover them. As AI reshapes shopping, the store that wins won"t have the most products. It will have the products customers actually want. That"s the problem we solve, with ML and AI at the core.

    As the Principal PMT on New Product Success team, you will own the ML-powered system that turns unmet customer demand and gaps in our selection into launch opportunities for sellers. That means finding what customers want but can"t find using internal and external signals, sizing and ranking those gaps, personalizing them for each seller, and setting up for success each opportunity through launch and discovery across shopping surfaces.

    Few roles let a product leader own the ML, the user experience, and the marketplace growth outcome end to end. This one does, and it"s high-visibility, high-leverage, and central to how Amazon"s selection grows. The results are tracked as company level goal by Amazon"s executive leadership team.

    Key job responsibilities

    • Own the multi-year vision, strategy, and roadmap for this space, working backwards from both customers and the sellers who serve them.
    • Define product requirements for the ML systems behind the experience, including product clustering, unmet demand and selection gap detection, opportunity sizing and ranking, and personalization.
    • Own the seller-facing experience: which opportunities each seller sees, when, and why, so guidance is clear, trusted, and actionable.
    • Close the loop from opportunity to launch, measuring whether guided launches succeed and feeding those learnings back into the models.
    • Shape the economic model that makes launching guided selection the rational choice for sellers - spanning fee incentives, discovery support, and risk-sharing mechanisms that close the gap with low-cost competitors.
    • Partner with engineering, science, design, user research, and marketing, and influence Directors and VPs across Amazon through PRFAQs, strategic narratives, and business reviews.
    • Set the metrics, mechanisms, and experimentation strategy that prove impact and guide future investment.

    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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