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Product Manager - Tech, GO-AI Technology & Development Team

Amazon.com Inc
  • MA
    6 days ago

    Job Description

    Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges on an unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art AI. We collaborate with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation.

    Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We"re transforming how complex visual reasoning tasks are performed across Amazon"s robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions.

    As a Product Manager - Tech, you will own and drive GO-AI"s product feature strategy and roadmap. You will develop deep expertise in GO-AI"s customers and operations to make informed, data-driven product decisions. Leveraging your technical acumen and operational knowledge, you will influence architecture decisions, evaluate technical proposals, and ensure alignment between customer needs and engineering execution. GO-AI"s product portfolio spans software applications for annotations and near-real-time remote intervention, business intelligence reporting and insights, and data discoverability platforms. It also includes foundation models designed to automate the annotation process and other high-value workflows. The portfolio is actively expanding to support remote real-time tele-operations-a critical growth area that will require defining new product capabilities from the ground up.

    This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You"ll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale.

    Key job responsibilities

    • Define GO-AI product long-term vision, portfolio roadmap, and priorities through Working Backwards documents
    • Perform competitive analysis by establishing continuous customer and market feedback loops; translate insights into actionable product direction
    • Drive end-to-end product and feature launches across the GO-AI portfolio, ensuring operational readiness, customer adoption, and alignment to business goals
    • Partner with GO-AI engineering and science teams to navigate trade-offs across customer requirements, technical feasibility, and quality standards
    • Partner with GO-AI operations teams to balance delivery KPIs, including quality thresholds, with speed and scope
    • Define adoption metrics and own the business reporting cadence (weekly/monthly); present progress and recommendations to leadership
    • Represent customer needs in architecture and technical design discussions, ensuring product decisions are grounded in real-world operational context

    Numbers & Facts

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

    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

    Skills

    • Architectural Analysisunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Business Intelligenceunmatched
    • Cadenceunmatched
    • Competitive Analysis/Strategyunmatched
    • Computer Visionunmatched
    • Customer Acquisitionunmatched
    • Customer/Client Researchunmatched
    • Go Programming Language (Golang)unmatched
    • International Operationsunmatched
    • Leadershipunmatched
    • Leading Edge Technologyunmatched
    • Machine Toolunmatched
    • Metricsunmatched
    • Mobile Devicesunmatched
    • Natural Language Processing (NLP)unmatched
    • Order/Customer Fulfillmentunmatched
    • Performance Metricsunmatched
    • Product Managementunmatched
    • Product Strategyunmatched
    • Product/Service Launchunmatched
    • Production Systemsunmatched
    • Prototypingunmatched
    • Quality Metricsunmatched
    • Roboticsunmatched
    • Team Buildingunmatched
    • Team Playerunmatched
    • Technical Analysisunmatched
    • Technical/Engineering Designunmatched
    • Training Data Setsunmatched

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