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Software Development Engineer, Amazon Ads Demand Tech, Forecasting and Guidance

Amazon.com Inc

  • Mountain View, CA
  • 30+ days ago

    Highlights

    The ideal candidate demonstrates strong technical skills in distributed systems, possesses knowledge of both front-end and back-end technologies, and excels at collaborating across teams. This role offers the opportunity to lead complex technical initiatives, mentor team members, and make a significant impact on Amazon"s advertising platform at scale.

    Numbers & Facts

    LocationMountain View, CA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    The Forecasting Insights and Guidance (FIG) team within Amazon Ads Demand Tech is seeking a software engineer to drive industry-leading campaign forecasting and recommendation solutions. This role sits at the intersection of ads technology (Agentic LLM), science, product, UI/UX, and business strategy, offering a unique opportunity to shape the future of forecasting and recommendations at scale.

    You will design, build, and experiment with solutions that bridge forecasting and guidance algorithms with scalable, user-centric applications. Your work will ensure technical architecture supports accurate predictions while delivering actionable insights through intuitive interfaces.

    The ideal candidate demonstrates strong technical skills in distributed systems, possesses knowledge of both front-end and back-end technologies, and excels at collaborating across teams. You"ll balance technical excellence with business acumen, partnering across organizations to deliver solutions that drive revenue growth.

    This role offers the opportunity to lead complex technical initiatives, mentor team members, and make a significant impact on Amazon"s advertising platform at scale.

    Key job responsibilities

    • Design and implement scalable APIs and microservices for real-time forecasting and recommendations
    • Build Agentic LLM applications that visualize data and deliver intuitive user experiences
    • Collaborate with scientists to translate statistical models and algorithms into production-ready systems
    • Develop efficient data pipelines and storage solutions to process large-scale advertising campaign data
    • Drive system performance improvements and operational excellence through monitoring, optimization, and best practices

    About the team

    Our team provides customer facing forecasting and recommendations for self-service advertising customers throughout their campaign lifecycle journey. Our products educate customers on budget allocation opportunities, effective campaign setup, and optimizations. Accurate forecasting is critical to many growth initiatives across the business.

    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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