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Sr. Technical Program Manager, MADS Reporting Engines

Amazon.com Inc

  • Seattle, WA
  • 2 days ago

    Highlights

    This role requires technical depth in distributed systems and data pipelines - you"ll make independent trade-off calls in design reviews, identify risks engineers haven"t surfaced, and drive multi-quarter initiatives that shape the future of advertising measurement at Amazon. Drive end-to-end delivery of large, complex infrastructure programs spanning multiple engineering teams, data pipelines, and dependent services with clear milestones, risk management strategies, and escalation paths.

    Numbers & Facts

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

    Description

    Do you want to drive the infrastructure that powers every advertiser"s decision at Amazon? The Measurement and Data Science (MADS) Reporting Engines team is looking for a Senior Technical Program Manager to own end-to-end delivery of complex engineering programs that scale petabyte-scale data pipelines and reporting infrastructure for Amazon Ads. You"ll program-manage the evolution of measurement systems toward AI-powered, natural-language-driven insights while maintaining the accuracy and reliability that thousands of advertisers depend on daily.

    This role requires technical depth in distributed systems and data pipelines - you"ll make independent trade-off calls in design reviews, identify risks engineers haven"t surfaced, and drive multi-quarter initiatives that shape the future of advertising measurement at Amazon. You"ll work at the intersection of established infrastructure AI capabilities, managing programs where changes ripple across every Ads product - Sponsored Ads, DSP, AMC, and beyond.

    Key job responsibilities

    • Drive end-to-end delivery of large, complex infrastructure programs spanning multiple engineering teams, data pipelines, and dependent services with clear milestones, risk management strategies, and escalation paths
    • Partner with engineering teams to define technical requirements and validate architectures for data-intensive distributed systems, engaging meaningfully in design reviews to identify scaling bottlenecks, second-order risks, and technical trade-offs
    • Program-manage the evolution of reporting infrastructure to support AI-powered measurement interfaces - natural language queries, automated insights, and intelligent planning - while maintaining data accuracy and system reliability
    • Create and ship mechanisms, automation, and process improvements that increase engineering velocity, reduce operational toil, and make delivery predictable without becoming a bottleneck
    • Lead cross-organizational dependency coordination and stakeholder alignment across MADS, Sponsored Ads, DSP, AMC, and platform teams to sequence deliverables and resolve competing priorities

    A day in the life

    Your mornings start with reviewing pipeline metrics and running milestone stand-ups with engineering leads to track deliverables and resolve blockers. Midday involves cross-team coordination - dependency negotiations with partner teams, design reviews where you identify architectural risks, and escalation resolution when priorities conflict. Afternoons focus on strategic work: roadmap planning, building delivery mechanisms that eliminate manual toil, and leadership reviews where you present trade-off options and launch readiness recommendations. On any given day, you manage 4-5 active programs simultaneously while shipping automation that makes next week easier than last week.

    About the team

    MADS Reporting Engines owns the infrastructure that processes, stores, and serves campaign reporting data to advertisers at Amazon Ads scale. When advertisers open their console and see performance metrics - impressions, clicks, conversions, ROAS - that data flows through our systems. We process petabyte-scale data pipelines, serve hundreds of metrics to thousands of advertisers daily, and power reporting for every major Ads surface.

    We"re focused on scaling infrastructure to support new ad products and metrics, evolving toward near-real-time reporting, and powering next-generation AI-driven measurement interfaces. Our culture values engineering excellence, accuracy (advertisers make million-dollar decisions based on our numbers), automation over manual work, and ownership of outcomes. You"ll work with MADS engineering teams, leadership, upstream data providers, downstream API teams, and Ads partner organizations across the company.

    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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