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Senior Software Development Manager, AWS Quick

Amazon.com Inc

  • Seattle, WA
  • 13 days ago

    Highlights

    The Agent Intelligence Platform team owns the core infrastructure that powers the brain of Quick: memory, knowledge graph, sessions, and the runtime primitives that give the agent persistent context and reasoning capabilities. New Experiences: Ship new user-facing capabilities powered by the platform (e.g., richer personalization, proactive context surfacing) that help users achieve more with Quick.

    Numbers & Facts

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

    Description

    Are you passionate about building intelligent systems that make AI agents truly useful, and leading teams that ship foundational infrastructure at scale? We"re looking for a Senior Software Development Manager (SSDM) to lead our Agent Intelligence Platform team within Quick Engineering, the organization behind Amazon Quick.

    The Agent Intelligence Platform team owns the core infrastructure that powers the brain of Quick: memory, knowledge graph, sessions, and the runtime primitives that give the agent persistent context and reasoning capabilities. As the SSDM, you will drive the technical vision for these systems, set the bar for operational excellence, and lead the team in building new experiences that help users achieve more with Quick every day.

    This is a leadership opportunity to own the foundational layer of a rapidly growing AI product, shape its architecture, and push the boundaries of what agentic experiences can do for customers.

    Key job responsibilities

    Platform Vision & Strategy: Own the technical roadmap for Quick"s memory, knowledge graph, and session infrastructure. Define "best-in-class" and relentlessly pursue it.

    Research-Driven Innovation: Stay current with advances in memory systems, retrieval, and contextual reasoning. Prototype new approaches and translate research into shipped improvements.

    Science Partnership: Partner with applied science to co-develop novel algorithms that push the boundaries of agent memory and knowledge retrieval.

    User-Signal Obsession: Mine user feedback, telemetry, and behavioral data to identify gaps in recall, context quality, and session continuity. Turn signals into a prioritized backlog.

    Team Leadership: Build and lead a high-performing engineering team with a culture of ownership, intellectual curiosity, and high operational standards.

    Operational Excellence: Maintain memory, knowledge graph, and session services at the highest bar for reliability, latency, and scalability. Own on-call and incident response.

    New Experiences: Ship new user-facing capabilities powered by the platform (e.g., richer personalization, proactive context surfacing) that help users achieve more with Quick.

    Stakeholder Alignment: Work across Quick Engineering, product, design, and science to align priorities and drive coherent execution.

    About the team

    Amazon Quick is an AI-powered work companion that learns and adapts to each user through persistent memory, a personal knowledge graph, and contextual sessions. You"ll own the foundational infrastructure behind that intelligence. We"re a fast-moving team building technology that redefines how people work with AI every day. We value diverse experiences, inclusive culture, mentorship, and work-life harmony. If your career hasn"t followed a traditional path, don"t let it stop you from applying.

    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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