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Software Development Manager, AWS SageMaker

Amazon.com Inc

  • Boston, MA
  • 4 days ago

    Highlights

    Deliver at scale: Ship production services that handle large-scale distributed training jobs, manage GPU/accelerator resources efficiently, and meet strict availability and latency SLAs. Own the platform: Drive the technical vision and architecture for model customization platform, encompassing model fine-tuning workflows (SFT, RLHF, LoRA, etc.), training orchestration, data processing pipelines, and model.

    Numbers & Facts

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

    Description

    We are seeking an experienced Software Development Manager to lead the team building our Model Customization platform. It enables customers to fine-tune, adapt, and customize foundation models for their specific use cases - a critical capability as generative AI moves from experimentation to production workloads.

    As the founding engineering leader for this platform, you will own the end-to-end technical strategy, hire and develop a high-performing team, and deliver a scalable, reliable service that operates at Amazon

    scale. You will work closely with applied scientists, product managers, and partner engineering teams to define the roadmap and ship features that directly impact customers.

    Key job responsibilities

    Key Responsibilities

    • Build and lead the team: Recruit, hire, mentor, and retain a team of software engineers and machine learning engineers. Establish engineering culture, development practices, and operational standards from the ground up.
    • Own the platform: Drive the technical vision and architecture for model customization platform, encompassing model fine-tuning workflows (SFT, RLHF, LoRA, etc.), training orchestration, data processing pipelines, and model

    evaluation infrastructure.

    • Deliver at scale: Ship production services that handle large-scale distributed training jobs, manage GPU/accelerator resources efficiently, and meet strict availability and latency SLAs.
    • Operational excellence: Establish and maintain a high operational bar - define metrics, alarms, runbooks, and on-call processes. Own the operational health of the platform end to end.
    • Collaborate cross-functionally: Partner with applied science teams on training methodologies, product managers on customer requirements, and infrastructure teams on compute and storage dependencies.
    • Raise the bar: Participate in Amazon"s hiring process as a Bar Raiser or interviewer. Foster a culture of technical excellence, ownership, and continuous improvement.
    • Influence the roadmap: Translate customer needs and business goals into a prioritized engineering roadmap. Make sound trade-offs between speed, quality, and scope.

    About the team

    We are building the next generation of model customization tooling that empowers customers to tailor foundation models to their domains - from healthcare and finance to retail and robotics. Our mission is to make model customization accessible, reliable, and cost-effective at any scale. You will join a team that values customer obsession, technical depth, and a bias for action. This is a Boston-based role with the opportunity to shape a new team and product area from the ground up.

    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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