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Software Development Manager, WWGST

Amazon.com Inc

  • Austin, TX
  • 30+ days ago

    Highlights

    Your team uses large language models, automated ML, and real-time data from third-party providers to answer questions like "which product does this barcode actually belong to?" and "are the temperature, expiry, and dimension attributes for this item correct?" Own the technical vision for resolving product identity defects - where a single barcode incorrectly maps to multiple products - using data matching, third-party OCR sources, and scoring algorithms.

    Numbers & Facts

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

    Description

    Amazon"s Worldwide Grocery Stores-Tech (WWGST) team is looking for an experienced Software Development Manager.

    Ever wonder how millions of grocery products get correctly identified, enriched, and made available to customers - both on shelves and online? That"s the problem we"re solving, and we need a software development manager to lead the team doing it.

    Here"s what makes this role unique: you"ll lead engineers who build systems at the intersection of machine learning and product data quality. Your team uses large language models, automated ML, and real-time data from third-party providers to answer questions like "which product does this barcode actually belong to?" and "are the temperature, expiry, and dimension attributes for this item correct?" These aren"t theoretical problems - when we get them wrong, products spoil, customers get the wrong item, and supply chains break down.

    You"ll own the end-to-end technical strategy for catalog data accuracy across grocery. That means distributed systems processing millions of records, ML pipelines that train and infer on weekly cadences, and data integrations with external providers across multiple countries. You"ll also build internal tools that put catalog intelligence directly in the hands of business teams.

    Key job responsibilities

    • Lead a team of engineers building and operating distributed systems that process millions of product records across grocery marketplaces.
    • Own the technical vision for resolving product identity defects - where a single barcode incorrectly maps to multiple products - using data matching, third-party OCR sources, and scoring algorithms.
    • Drive the evolution of ML infrastructure - including scheduled training/inference pipelines, LLM-based attribute validation, and automated publishing workflows.
    • Guide the strategy for ingesting, transforming, and synchronizing third-party product data into the catalog across international marketplaces.
    • Build and maintain internal tooling that gives product managers and business users visibility and control over grocery catalog operations.
    • Make architectural decisions for scaling early-stage systems while ensuring operational excellence across multiple AWS accounts and regions.
    • Translate complex supply chain and catalog business requirements into concrete technical solutions - prototyping rapidly and iterating with cross-functional partners.
    • Partner with applied science teams on ML model development and product ionization.
    • Foster an entrepreneurial engineering culture focused on innovation, ownership, and high-velocity delivery.
    • Mentor and develop engineers, promoting technical excellence and career growth.

    About the team

    This is a small, entrepreneurial team where everyone wears many hats. You"ll have the freedom to define architecture, influence product direction, and ship solutions that directly impact how Amazon and Whole Foods Market source and sell groceries. If you want a role where you can see your work on store shelves the same week you deploy it - this is it.

    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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