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Sr. Product Manager - Tech, AI, Sub Same Day

Amazon.com Inc
  • Bellevue, WA
    11 days ago

    Job Description

    The Opportunity

    What if you could teach machines to make millions of delivery decisions - faster, smarter, and more efficiently than ever before? We"re looking for a Senior Product Manager - Tech who"s obsessed with the intersection of artificial intelligence and real-world operations to join Amazon"s Sub Same Day team. This isn"t about incremental optimization. This is about building intelligent systems that autonomously orchestrate one of the most complex delivery networks on the planet - in real time, at massive scale.

    You will define and drive the product roadmap for AI/ML-powered solutions across the Sub Same Day delivery network - from supply chain planning and real-time capacity allocation to delivery and anomaly detection. You"ll identify high-impact business problems ripe for AI disruption, translate them into well-scoped technical product requirements, and build the business case to secure investment. Your multi-year product vision will leverage state-of-the-art techniques - large language models, reinforcement learning, computer vision, and graph neural networks - to fundamentally reimagine how last-mile delivery works at Amazon scale.

    You will serve as the connective tissue between data scientists, system development engineers, business intelligence engineers - ensuring technical feasibility, architectural soundness, and delivery velocity. You"ll own the end-to-end product lifecycle: from problem framing and data pipeline design through model development, A/B experimentation, production deployment, and continuous iteration. This means making hard trade-off decisions across model accuracy, latency, infrastructure cost, and customer experience - with a deep understanding of the technical constraints and opportunities. You"ll drive technical debt reduction and platform scalability, ensuring AI systems are production-grade, fault-tolerant, and built for exponential growth.

    You will partner with operations, logistics, finance, and science teams to ensure AI solutions are grounded in operational reality and deliver measurable business value. You"ll influence senior leadership with data-driven narratives, translating complex ML concepts into clear strategic recommendations, and build scalable processes for feature prioritization, sprint planning, and release management across distributed engineering teams.

    What Makes This Role Different

    Your AI products will make decisions affecting millions of packages daily across Amazon"s fastest-growing delivery channel. You"ll work with large-scale ML platforms (SageMaker, custom training infrastructure), and production inference systems operating at sub-100ms latency. Sub Same Day is still early in its AI journey - you"ll have the rare opportunity to define the foundational AI strategy from the ground up, not just optimize existing systems. From the data that feeds models to the customer experience those models create - you own the full stack of outcomes.

    Key job responsibilities

    • Lead the product strategy and roadmap for AI/ML initiatives in the Sub Same Day delivery network
    • Orchestrate collaboration between data scientists, engineers, operations teams, and business stakeholders
    • Define and prioritize product requirements based on customer needs and business impact
    • Develop business cases and ROI analysis for new AI initiatives
    • Drive technical requirement gathering and documentation
    • Lead sprint planning and backlog prioritization sessions
    • Monitor key performance metrics and adjust strategies based on data-driven insights
    • Identify and resolve cross-team dependencies and conflicts
    • Champion product innovations to senior leadership and key stakeholders
    • Drive go-to-market strategies for new AI-powered features and capabilities

    A day in the life

    Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

    The benefits that generally apply to regular, full-time employees include:

    • Medical, Dental, and Vision Coverage
    • Maternity and Parental Leave Options
    • Paid Time Off (PTO)
    • 401(k) Plan

    If you are not sure that every qualification on the list above describes you exactly, we"d still love to hear from you!

    At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

    Numbers & Facts

    LocationBellevue, WA
    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 Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Backlog Prioritizationunmatched
    • Business Caseunmatched
    • Business Intelligenceunmatched
    • Capacity Allocationsunmatched
    • Computer Visionunmatched
    • Continuous Deployment/Deliveryunmatched
    • Customer Experienceunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Scienceunmatched
    • Documentationunmatched
    • Establish Prioritiesunmatched
    • Financeunmatched
    • Leadershipunmatched
    • Logisticsunmatched
    • Market Entry Strategyunmatched
    • Modeling Languagesunmatched
    • Neural Networksunmatched
    • Performance Analysisunmatched
    • Performance Metricsunmatched
    • Product Lifecycleunmatched
    • Product Managementunmatched
    • Product Planningunmatched
    • Product Strategyunmatched
    • Production Systemsunmatched
    • Reinforcement Learningunmatched
    • Release Management/Engineeringunmatched
    • Requirements Managementunmatched
    • Return on Investment (ROI)unmatched
    • Scalable System Developmentunmatched
    • Sprint Planningunmatched
    • Supply Chain Managementunmatched
    • System Operationsunmatched
    • Systems Engineeringunmatched
    • Training/Teachingunmatched

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