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Principal Product Manager - AI & Cloud Media Services, AWS Elemental Media Services, Elemental Media Services

Amazon.com Inc
  • Seattle, WA
    15 days ago

    Job Description

    AWS Elemental Inference is an AI-powered video understanding service that analyzes live and file-based video in real time, producing structured metadata that drives monetization, content transformation, and audience engagement at scale. The service delivers capabilities including intelligent video reframing, real-time highlight detection, automated subtitling, and contextual metadata for advertising workflows. Our customers today include the world"s largest broadcasters, streaming platforms, and sports leagues. The core technology, real-time visual understanding at scale, is applicable to any domain where video carries signal that needs to be extracted and acted on.

    We are looking for a Principal Product Manager to own the product strategy, roadmap, and commercial success of Elemental Inference. This is a single-threaded owner role. You will define what we build, why we build it, and how we bring it to market. You will work directly with applied scientists training video foundation models, engineers operating a real-time inference service, and customers running production workloads on it.

    This role requires someone who can operate at the intersection of AI/ML product development and commercial execution. You will own the P&L, define pricing and packaging strategy, and drive adoption across a portfolio that spans AI inference, video monetization, and content intelligence. You will make trade-off decisions between expanding into new capabilities and verticals versus deepening quality and reducing cost on what exists today. You will represent Elemental Inference to AWS leadership, cross-org partners, and directly to customers.

    Key job responsibilities

    • Own the product strategy, roadmap, and P&L for Elemental Inference. Set pricing, define packaging, monitor revenue, and adjust GTM approach based on adoption data and customer feedback.
    • Prioritize features based on customer requirements, revenue impact, competitive dynamics, and technical feasibility. Make explicit scope decisions between breadth (new capabilities, new verticals) and depth (quality, latency, cost).
    • Partner with the applied science team on model roadmap decisions. Translate customer needs into science requirements and define the bar for production readiness.
    • Drive cross-service integration with adjacent Elemental services (monetization, live encoding, VOD processing) to deliver end-to-end intelligent media workflows.
    • Lead cross-org initiatives that span multiple AWS organizations, building alignment on joint product development where shared customer problems require coordinated solutions.
    • Engage directly with strategic enterprise customers to validate product direction, close design partnerships, and drive adoption of launched features.
    • Define and manage the partner ecosystem strategy for data dependencies (sports data providers, content licensing) that enable product capabilities.
    • Identify and evaluate expansion opportunities where the core technology creates value in adjacent domains beyond the service"s initial market.
    • Represent Elemental Inference at industry events and with AWS leadership. Communicate product vision, competitive positioning, and business performance with clarity.

    About the team

    AWS Elemental provides the most comprehensive portfolio of media services in the cloud, purpose-built to prepare, process, deliver, and monetize video at global scale. We support technology that delivers outstanding viewing experiences to millions of viewers worldwide, from the largest live sporting events to 24/7 linear channels and on-demand libraries. Our customers include the world"s leading broadcasters, streaming platforms, and sports leagues.

    Numbers & Facts

    LocationSeattle, 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

    • Advertisingunmatched
    • Alliance/Partner Managementunmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Broadcastingunmatched
    • Channel Strategiesunmatched
    • Cloud Computingunmatched
    • Content Developmentunmatched
    • Cost Controlunmatched
    • Customer Acquisitionunmatched
    • Customer/Client Researchunmatched
    • Ecosystemsunmatched
    • Establish Prioritiesunmatched
    • Financial Analysisunmatched
    • Leadershipunmatched
    • Licensingunmatched
    • Metadataunmatched
    • Pricingunmatched
    • Product Developmentunmatched
    • Product Managementunmatched
    • Product Planningunmatched
    • Product Positioningunmatched
    • Product Pricingunmatched
    • Product Strategyunmatched
    • Profit & Lossunmatched
    • Requirements Managementunmatched
    • Sales Qualificationunmatched
    • Service Deliveryunmatched
    • Sportsunmatched
    • Technical Deliveryunmatched
    • Technical Supportunmatched

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