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Senior Program Manager, Conversational Shopping, AFS

Amazon.com Inc
  • Seattle, WA
    6 days ago

    Job Description

    We are seeking a Senior Program Manager to lead initiatives that reduce defects and improve product quality for Alexa for Shopping, Amazon's AI-powered conversational shopping assistant. This is an opportunity to join the high-performing team that makes it easy for customers to find and discover the best products to meet their unique needs by helping with product research, providing comparisons and recommendations, answering specific product questions, and more. This role is inherently high-visibility and highly cross-functional, requiring collaboration and influence across partner teams, product, design, science, evaluations and engineering.

    Key job responsibilities

    You will own the program to identify and reduce the key defects impacting the assistant's quality score, with accountability for driving the organization toward an ambitious goal. The ideal candidate is an AI-forward program leader who can understand complex AI/LLM quality problems, diagnose what is driving gaps in customer experience, and translate those gaps into clear priorities and actions. You must be comfortable understanding how AI systems behave, interpreting evaluation signals, challenging root-cause analysis, and influencing technical teams to deliver measurable improvements.

    Own the quality improvement strategy: Establish the roadmap, priorities, mechanisms, and success metrics to achieve high-priority goals, focusing teams on the highest-impact defects. Drive an integrated, end-to-end quality improvement program across agents, evaluation infrastructure, and related workstreams, with clear owners, milestones, dependencies, and measurable outcomes.

    Diagnose AI quality gaps: Partner with Science, Product, Engineering, and evaluation teams to interpret AI/LLM behaviors, evaluation signals, and customer-impacting defects; lead rigorous RCA to identify systemic root causes, risks, dependencies, and blockers, and drive resolution through data-backed recommendations and clear tradeoffs.

    Drive cross-functional resolution: Translate complex AI problems into clear actions, influence product roadmaps without direct authority, and establish an operating cadence that drives accountability, surfaces progress, risks, and gaps, and enables timely leadership decisions to deliver measurable quality improvements.

    Own the executive narrative: Establish mechanisms to track progress and cumulative impact, identify where the program is off-track, and provide senior leadership with clear insights, risks, tradeoffs, and recommendations.

    Operate with a strong bias for action, removing obstacles and driving fast, iterative delivery while maintaining focus on quality and measurable outcomes.

    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

    • Amazon Alexaunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Cadenceunmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Identify Issuesunmatched
    • Leadershipunmatched
    • Metricsunmatched
    • Product Designunmatched
    • Product Engineeringunmatched
    • Product Planningunmatched
    • Project Trackingunmatched
    • Project/Program Managementunmatched
    • Quality Managementunmatched
    • Quality Metricsunmatched
    • Root Cause Analysisunmatched
    • Technical Deliveryunmatched
    • Time Managementunmatched

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