Amazon.com Inc logo

Software Development Engineer, 3PX Analytics & Insights

Amazon.com Inc
  • Seattle, WA
    6 days ago

    Job Description

    Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS"s market leadership while working with latest technologies and global clients.

    Key job responsibilities

    We"re looking for a Software Development Engineer to join the Analytics & Insights team within AWS Global Deal Strategy & Programs (GDSP). In this role, you"ll design and build scalable, AI-integrated analytics platforms and seller-facing tools that power data-driven decision making across AWS"s global sales organization. You"ll work across the full stack, from data pipelines and APIs to interactive dashboards and conversational AI agents, delivering solutions that serve thousands of AWS sellers, managers, and leaders. The ideal candidate is passionate about building at the intersection of data engineering and Generative AI, thrives in a fast-paced environment with high ownership expectations, and can translate complex business requirements into reliable, production-grade software. You"ll partner closely with product, business , and sales teams to deliver tools that directly impact AWS"s commercial motions.

    Architect, design, and build scalable, integrated solutions for sales analytics and tooling used by teams with AWS globally

    Develop AI-powered tools and conversational agents leveraging Generative AI, large language models, and Amazon Bedrock to automate seller workflows, surface data insights, and reduce manual operational overhead

    Build and integrate MCP (Model Context Protocol) services that connect sales data to agentic AI experiences, enabling sellers to query data, generate reports, and take action through natural-language interaction

    Design and implement intelligent automation using agentic frameworks to replace legacy, manual processes with self-service, AI-enabled tooling

    Partner cross-functionally with technology teams, business intelligence, finance, and field operations to develop solutions integrated into end-to-end seller experiences

    About the team

    The GDSP 3PX Analytics & Insights (A&I) team is the centralized data engineering and analytics partner for AWS"s Private Pricing organization. We own the end-to-end data platform from core data modeling and pipeline infrastructure to reporting artifacts and self-serve analytics providing data-driven support to Private pricing stake owners across AWS.

    We are a high-ownership, fast-moving team consisting of PMT's, Business intelligence Engineers, Data Engineers and Software development Engineers who thrive in ambiguity and deliver at pace. We manage a broad portfolio spanning multiple business verticals while maintaining a strong bar for data quality, operational rigor, and customer obsession. Our data ecosystem and insights are foundational to how Private Pricing programs are designed, measured, and evolved directly shaping the strategies that drive AWS"s largest and most complex enterprise deals worldwide.

    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

    • Amazon Web Services (AWS)unmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Automationunmatched
    • Business Growthunmatched
    • Business Intelligenceunmatched
    • Business Intelligence Softwareunmatched
    • Business Strategyunmatched
    • Channel Strategiesunmatched
    • Cloud Computingunmatched
    • Cross-Functionalunmatched
    • Customer Support/Serviceunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Economicsunmatched
    • Ecosystemsunmatched
    • Emerging Technologyunmatched
    • Financial Operationsunmatched
    • International Salesunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • Machine Toolunmatched
    • Market Shareunmatched
    • Modeling Languagesunmatched
    • Nonprofitunmatched
    • Pricingunmatched
    • Product Pricingunmatched
    • Reporting Dashboardsunmatched
    • Reporting Skillsunmatched
    • Salesunmatched
    • Sales Analysisunmatched
    • Sales Toolsunmatched
    • Scalable System Developmentunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Solution Salesunmatched
    • Website Conversionunmatched

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