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Sr. Product Manager - Tech, Partner Tech, Amazon Ads

Amazon.com Inc
  • Seattle, WA
    3 days ago

    Job Description

    Are you ready to shape how thousands of advertising partners grow their businesses on Amazon? Join the Ads Partner Network team as a Sr. Product Manager - Tech and build the agentic experiences that transform how partners get work done at scale.

    We"re reimagining partner enablement through intelligent automation and AI-powered solutions, and this role owns the agentic capabilities at the heart of it. You"ll start where the leverage is highest, building the agent skills that supercharge our internal partner sales teams (e.g. automating the workflows our partner/agency development managers run today), then extend that foundation outward so partners eventually get the same intelligence directly. Where others define what an assistant should say, you"ll define what it can do, and you"ll do it in the sequence that compounds: prove the skills internally, then scale them to partners.

    Why you"ll love this role:

    • High autonomy and ownership, giving you the freedom to explore the agentic space and define which skills we build next
    • Massive impact, since your skills will first make our sales and enablement teams dramatically more effective, then reach the partners growing their businesses on Amazon
    • Innovation culture, building net-new agentic experiences in a space that"s genuinely ripe for transformation
    • Cross-functional collaboration, working alongside world-class engineers, scientists, designers, and business leaders who care about partner success

    Key job responsibilities

    • Define and own the product roadmap for agentic capabilities, translating internal sales and partner needs into product strategy through market research, competitive analysis, and business cases articulating the vision, internal-first sequencing, and success metrics
    • Understand our partner and agency development managers" workflows through direct engagement and data analysis, then prioritize and deliver agent skills by user impact, business value, and feasibility, building a foundation reusable from internal sales to external partners
    • Partner with engineering and data science to define requirements and build intelligent agent capabilities, composing signals and context from our partner data layer, while aligning sales, business, and operations teams on go-to-market and adoption
    • Define success metrics and KPIs, establish measurement frameworks, and drive continuous improvement by monitoring how your agent skills perform against sales efficiency and task completion
    • Build senior leadership relationships, present product updates to secure buy-in, and influence without authority across stakeholders with competing priorities
    • Stay current on AI/ML trends and emerging agentic techniques, experiment with novel approaches to partner and sales problems, and share learnings to elevate agentic product thinking
    • Manage backlogs, write detailed requirements, navigate ambiguity, and balance short-term internal wins with the long-term investment in partner-facing agentic experiences as the partner base scales

    A day in the life

    You"ll spend your days partnering with engineering and data science teams to build the agent skills powering our partner sales teams first, then advertising partners directly (automating the workflows our partner and agency development managers run today, laying the foundation for the virtual partner managers partners will use tomorrow). Your internal stakeholders span engineers, scientists, business leaders, and partner-facing teams across Ads. Your customers start as the internal teams serving partners and grow to thousands of advertising partners. You"ll solve delivering expert-level support at scale, composing signals from our partner data layer into agent capabilities that anticipate needs before they ask.

    About the team

    We"re the Partner Tech team, building the Ads Partner Network, the engine behind Amazon Ads" partner ecosystem. Partners are our customers, and our mission is to empower them to maximize every brand through Amazon Ads. We build the data infrastructure, tooling, and intelligent products that help partners grow while driving value for the advertisers they serve, delivering interface-agnostically so the same signals and context reach every consumer however they work (a UI a partner manager navigates, an API another system calls, an MCP surface vending context to agents, or an agent skill acting on a partner"s behalf). Our vision is a world-class ecosystem where top partners unlock the biggest opportunities and we scale impact without scaling headcount.

    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
    • Agile Programming Methodologiesunmatched
    • Alliance/Partner Managementunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Backlog Prioritizationunmatched
    • Business Caseunmatched
    • Business Growthunmatched
    • Business Operationsunmatched
    • Competitive Analysis/Strategyunmatched
    • Competitive Researchunmatched
    • Continuous Improvementunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Scienceunmatched
    • Ecosystemsunmatched
    • Establish Prioritiesunmatched
    • Inside Salesunmatched
    • Leadershipunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • Machine Toolunmatched
    • Market Researchunmatched
    • Metricsunmatched
    • Microsoft Windows System Internals/Programmingunmatched
    • Partner Salesunmatched
    • Performance Metricsunmatched
    • Process Improvementunmatched
    • Product Managementunmatched
    • Product Planningunmatched
    • Product Strategyunmatched
    • Requirements Managementunmatched
    • Salesunmatched
    • Trend Analysisunmatched
    • User Interface/Experience (UI/UX)unmatched
    • Virtual System Managersunmatched

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