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Software Development Manager (SDM), Enterprise Foundational AI

Amazon.com Inc
  • Seattle, WA
    5 days ago

    Job Description

    Do you want to shape how every Amazonian meets, collaborates, and gets work done in an AI-native world? Enterprise Foundational AI (EFAI) is building the foundational AI products and primitives that power Amazonian productivity globally, and we are looking for a Manager III, Software Development to lead our Meetings, Collaboration & Productivity team. You will lead a team of 10+ engineers building both the reusable AI building blocks that Amazon builders compose and the end-to-end products that any Amazonian can adopt, while driving a Tier 1 service to a clean, well-managed completion.

    Own high-impact scope: collaboration intelligence, and pre-/in-/post-meeting workflows used across Amazon.

    Build for leverage: deliver primitives that other builders reuse and core products that solve common workflows independent of org or role.

    Lead at the frontier: make AI an embedded, intuitive layer in how Amazonians work, not a separate tool to adopt.

    Grow people: develop engineers across levels and shape the next generation of technical and people leaders.

    Key job responsibilities

    • Lead, coach, and grow a team of 10+ software engineers, owning performance, career development, in-flight promotions, and hiring.
    • Own delivery, operational excellence, and on-call health for Tier 1 service through its lifecycle, from launch to deprecation.
    • Set and communicate clear priorities, maintaining top priority services at large scale while phasing in new initiatives on a capacity-driven timeline.
    • Deliver primitives (for example the Meeting Agent Platform, and meeting data APIs) that other Amazon builders compose into their own products.
    • Deliver core, end-to-end products (collaboration intelligence, pre-/in-/post-meeting workflows) that Amazonians adopt regardless of role.
    • Partner across organizations to sequence migrations and launches safely, and communicate timelines, capacity, and risk transparently to stakeholders.
    • Instrument outcomes so enterprises have clear line-of-sight into how their productivity grows.

    A day in the life

    Your day spans two worlds. In the morning you might review the phased rollout of a service authentication workflow and aligning with partner and security teams on rollback safeguards before accelerating traffic. Mid-day you meet with product and stakeholders on the Agent Platform roadmap, unblocking builders who compose your primitives into their own agents. In the afternoon you hold 1:1s with engineers and review a design for a post-meeting workflow. Throughout, you keep the team anchored on meetings and collaborations as the top priority while giving them a clear, motivating line of sight into the forward roadmap.

    About the team

    Enterprise Foundational AI (EFAI) accelerates Amazon"s AI-native transformation by building, integrating, and scaling foundational AI products and experiences that power Amazonian productivity globally. We deliver two categories of work: technical primitives, the unified, secure, and intelligent building blocks that AI application builders compose to ship faster without reinventing common capabilities; and core AI products and experiences that solve end-to-end use cases common across Amazon, independent of organization or job role.

    The Meetings, Collaboration & Productivity team is EFAI"s engine for how Amazonians meet, collaborate, and get work done. We build both layers of that model within our domain: primitives such as the Agent Platform, calendar MCP tools, and scheduling building blocks; and core products such as post-meeting agentic workflows. Our culture pairs high operational standards with genuine invention: we hold a Tier 1 service bar while inventing the AI-native experiences that will replace the old ways of working. Our aspiration, shared across EFAI, is that within a year every Amazonian uses AI as an embedded, intuitive part of how work gets done, so people focus on high-judgment decisions, creativity, and customer obsession while AI handles high-volume, repeatable work end-to-end.

    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

    • Application Buildersunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Authenticationunmatched
    • Career Developmentunmatched
    • Coachingunmatched
    • Communication Skillsunmatched
    • Embedded Systemsunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • On Callunmatched
    • Riskunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Team Lead/Managerunmatched
    • Use Casesunmatched

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