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Software Development Engineer, Amazon Brand Store

Amazon.com Inc

  • Seattle, WA
  • 16 days ago

    Highlights

    The Brand Stores team within Sponsored Products and Brands is chartered to create agentic brand store building experience, automating brand store creation, personalization, and optimization across global marketplaces, serving millions of brand owners world-wide. You"ll work on customer-facing applications used by advertisers to create engaging storefronts, collaborate with teams building sponsored ads, and serve as the landing page experience where advertisers direct customers to learn more about their brands.

    Numbers & Facts

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

    Description

    Reinvent how brands and shoppers connect - using generative AI. The Amazon Brand Stores team is building the next generation of brand-centric storefronts, bridging human creativity with AI to transform every aspect of the brand shopping experience across Amazon.com and beyond.

    Brand Stores are the exclusive destination for brand owners to showcase their content and product catalog with custom creative - attracting millions of visits daily and seamlessly integrated with Amazon Stores. We"re re-imagining store creation, optimization, performance analysis, and customer insights through state-of-the-art generative AI technologies.

    We"re looking for a full-stack software engineer to explore and own new brand-building experiences at Amazon scale. You"ll work on customer-facing applications used by advertisers to create engaging storefronts, collaborate with teams building sponsored ads, and serve as the landing page experience where advertisers direct customers to learn more about their brands. This is a highly collaborative role partnering with Product Managers, TPMs, SDEs, and leaders across the org.

    If you"re energized by solving complex challenges, pushing the boundaries of what"s possible with AI, and building full-stack applications that delight both advertisers and shoppers - this is the role.

    Key job responsibilities

    • Design, build, and own new brand-building experiences across customer-facing (CX) and advertiser-facing (AX) applications at Amazon scale
    • Develop and extend full-stack applications and APIs that power Brand Stores for advertisers
    • Explore and implement generative AI technologies to enhance store creation, optimization, and shopping experiences
    • Collaborate cross-functionally with Product Managers, TPMs, SDEs, and org leaders to deliver end-to-end solutions
    • Build and deliver new services while reducing operational burden for the team
    • Apply strong data analytical skills to drive customer insights and performance improvements
    • Operate with engineering excellence - owning quality, scalability, and reliability of your systems

    A day in the life

    https://youtu.be/FVyzfO_VbYI

    About the team

    The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you"re energized by solving complex challenges and pushing the boundaries of what"s possible with AI, join us in shaping the future of advertising.

    The Brand Stores team within Sponsored Products and Brands is chartered to create agentic brand store building experience, automating brand store creation, personalization, and optimization across global marketplaces, serving millions of brand owners world-wide.

    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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