Software Development Engineer, 3PX Analytics & Insights
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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.
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.