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Senior Software Development Engineer

Amazon.com Inc
  • Seattle, WA
    5 days ago

    Job Description

    Amazon Brand Stores are the exclusive destination where brand owners showcase their content and product catalog with custom creative - attracting millions of visits daily across Amazon.com and beyond. The Brand Stores team is using generative AI to reinvent every layer of this experience: store creation, optimization, performance analysis, and customer insights. You"ll own new brand-building experiences across both the advertiser-facing tools and the shopper-facing storefronts, making foundational technical decisions on how generative AI transforms the way brands connect with customers.

    This is a full-stack role spanning customer-facing (CX) and advertiser-facing (AX) applications. Brand Stores serve as the landing page experience where advertisers direct shoppers to learn more about their brands, and are seamlessly integrated with Sponsored Ads. You"ll drive cross-functional collaboration with Product Managers, TPMs, SDEs, and leaders across the org to deliver end-to-end solutions that bridge human creativity with AI at Amazon scale.

    Key job responsibilities

    • Own the design and delivery of new generative AI-powered brand-building experiences across advertiser-facing (AX) and shopper-facing (CX) applications, making foundational architectural decisions that shape the platform
    • Lead the technical direction for integrating generative AI into store creation, optimization, and shopping experiences - defining how these technologies are applied, evaluated, and scaled
    • Design and build full-stack applications and APIs that power Brand Stores for millions of daily visits, owning quality, scalability, and reliability of your systems
    • Drive cross-functional collaboration with Product Managers, TPMs, SDEs, and org leaders to translate product vision into well-architected technical solutions
    • Establish engineering best practices across the team - raising the bar on code quality, operational excellence, and system design
    • Apply data analytical skills to drive customer insights and performance improvements, using data to inform architectural and product decisions
    • Mentor engineers across the team and serve as a technical resource that peers seek out for design guidance and expertise

    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.

    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

    • Advertisingunmatched
    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Consumer Brandingunmatched
    • Cross-Functionalunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Global Brandingunmatched
    • Home Automationunmatched
    • Mentoringunmatched
    • Performance Analysisunmatched
    • Performance Managementunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Systems Reliabilityunmatched

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