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Software Engineering Manager, Amazon Software Builder Experience (ASBX) - Agentic Ecosystem

Amazon.com Inc

  • Seattle, WA
  • 3 days ago

    Highlights

    We build the platforms that let teams create, publish, and discover AI skills and tool integrations - and we enable autonomous agents to tap into Amazon"s vast internal ecosystem on behalf of builders. We build the infrastructure that lets teams publish new capabilities once and deliver them across every AI coding tool, manage what each builder and agent can access, and drive adoption of the capabilities that make engineers dramatically more productive.

    Numbers & Facts

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

    Description

    Are you passionate about leveraging GenAI to simplify the builder experience and accelerate innovation at Amazon scale?

    The GenAI Tools & Agentic Ecosystem team is on a mission to make AI agents a natural extension of every Amazon builder"s workflow. We are part of Amazon Software Builder Experience (ASBX), the organization that provides the tools and platforms every Amazon engineer uses to build, test, deploy, and operate software. We build the platforms that deliver AI capabilities to builders everywhere they work, and that turn everyday AI usage into the signal that makes every tool better.

    We build the infrastructure that lets teams publish new capabilities once and deliver them across every AI coding tool, manage what each builder and agent can access, and drive adoption of the capabilities that make engineers dramatically more productive. And because builders generate millions of AI sessions every day, capturing the complete record of what they asked, what agents did, and what tools they used, we build the infrastructure to responsibly capture, standardize, and learn from that signal, feeding it back into model quality, friction analysis, and how we measure AI fluency across the company.

    This is a rare opportunity to lead the teams behind this charter. As an SDM III, you will build and grow high-performing engineering teams, set the technical and organizational vision, and own delivery end to end. You will operate in a fast-moving AI landscape where new models, tools, and agent capabilities arrive faster than the standards to govern them, translate that ambiguity into a concrete roadmap, forge alignment with senior leaders and partner teams across Amazon and AWS, and make the hard prioritization calls that balance rapid iteration against durable platform investment. If you want to define how AI is used by every builder at Amazon, this is the role.

    Key job responsibilities

    • Hire, develop, and retain a strong, inclusive team of software engineers, and own their performance and career growth
    • Set the vision, strategy, and multi-year roadmap for how new AI skills, agents, and integrations reach builders, and how their usage makes those tools better over time
    • Build the platform that lets a team publish a skill, agent, or integration once and deliver it to every AI coding tool builders use, and extend it to new coding tools as they emerge
    • Own the full data lifecycle for AI coding usage: capture, standardization, de-identification, governance, and vending
    • Turn everyday AI coding sessions into signal that improves model quality, benchmarking, friction analysis, and how Amazon measures AI adoption
    • Partner with Legal and Security to protect builder data while keeping it useful for the teams that depend on it
    • Partner with senior leaders, product, and teams across Amazon and AWS to set direction, secure resources, and align on standards
    • Raise the bar on operational excellence, delivery predictability, and engineering quality

    About the team

    The GenAI Tools & Agentic Ecosystem team is on a mission to make AI agents a natural extension of every Amazon builder"s workflow. We build the platforms that let teams create, publish, and discover AI skills and tool integrations - and we enable autonomous agents to tap into Amazon"s vast internal ecosystem on behalf of builders. We are part of Amazon Software Builder Experience (ASBX), the organization that provides the tools and platforms every Amazon engineer uses to build, test, deploy, and operate software.

    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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