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Sr. Technical Program Manager, Alexa For Shopping (Rufus)

Amazon

  • Seattle, WA
  • 30+ days ago
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    Skills

    • Amazon Alexaunmatched
    • Analysis Skillsunmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Budgetingunmatched
    • Business Writingunmatched
    • Channel Strategiesunmatched
    • Cloud Computingunmatched
    • Cross-Functionalunmatched
    • Customer Relationsunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Scienceunmatched
    • Data Warehousingunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Economicsunmatched
    • Entrepreneurshipunmatched
    • Functional Programming Languagesunmatched
    • Green Constructionunmatched
    • Instrumentationunmatched
    • Leadershipunmatched
    • Performance Metricsunmatched
    • Product Managementunmatched
    • Product Programsunmatched
    • Project/Program Managementunmatched
    • Reporting Dashboardsunmatched
    • Requirements Managementunmatched
    • Riskunmatched
    • Scalable System Developmentunmatched
    • Schedule Developmentunmatched
    • Service Level Agreement (SLA)unmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Systems Scalabilityunmatched
    • Team Lead/Managerunmatched
    • Team Playerunmatched
    • Technical Leadershipunmatched
    • Telemetryunmatched

    Description

    Description At Alexa for Shopping, we're building the future of conversational commerce. Whether customers are discovering products through natural conversation, getting recommendations, or completing purchases - all through Alexa-powered experiences - our mission is to make shopping effortless and ambient across every surface. We are looking for a Sr. Technical Program Manager who will own the telemetry and data architecture that powers measurement, attribution, and data-driven decision-making across Alexa for Shopping. This is a foundational role: you'll design and deliver scalable data systems and internal data products that enable the organization to quantify the economic value of shopping experiences and optimize content placement across channels. Your responsibilities will include collection of business requirements, writing specifications, and driving economists, data and software engineering teams for measure economic value of various actions, building scalable infrastructure, identifying bottleneck and driving them to closure. You are one who thrives in an entrepreneurial environment, and proactively deals with ambiguity or competing priorities. You are able to bring structure and influence the organization. Key job responsibilities Own telemetry and data architecture end-to-end - define the instrumentation strategy, data pipelines, and measurement frameworks that span both customer-facing signals (engagement, conversion, shopping intent) and backend system telemetry (latency, availability, reliability). Build scalable data systems and internal data products - drive the design and delivery of infrastructure that supports high-volume telemetry ingestion, real-time and batch processing, attribution models, dashboards, and self-service analytics for partner teams. Define and measure shopping missions - own the frameworks that capture how customers navigate multi-turn shopping journeys (browse, compare, purchase, reorder) across Alexa surfaces, enabling the organization to understand mission completion, drop-off, and long-term engagement patterns. Drive conversational analytics - build the telemetry and measurement systems that quantify how customers interact with Alexa's conversational shopping experiences, including intent recognition quality, dialogue effectiveness, and conversion through natural language interactions. Lead cross-functional programs spanning 10-20+ teams - coordinate across engineering, economics, data science, and product organizations to deliver multi-year programs from scoping through launch. Influence technical trade-offs - leverage your engineering background to make sound architectural decisions and guide teams toward the right solutions. Basic Qualifications - 5+ years of technical product or program management experience - 7+ years of working directly with engineering teams experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms Preferred Qualifications - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - Experience with data modeling, warehousing and building ETL pipelines - Experience with conversational AI and Agentic AI products Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 148,700.00 - 201,200.00 USD annually

    Numbers & Facts

    LocationSeattle, WA
    IndustryOther/Not Classified
    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

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