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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal PMT, Deal Intelligence & Automation... - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Salary:** $206,900.0 - $279,900.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Product Management, Multi-Agent Systems - **Published:** May 14, 2026 - **Apply:** https://www.juju.com/job/00000000fzcs4o ## About the Role Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience technical product management Preferred Qualifications - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement ## Description AWS Global Deal Strategy and Programs (GDSP) is responsible for the strategy, structure, and execution of AWS's largest customer deals worldwide. The organization operates at the intersection of pricing economics, deal execution, and customer relationships across all AWS segments and geographies., GDSP is seeking a Principal Product Manager - Technical to own the product vision and strategy for the analytical and automation products that operationalize deal workflows, automate reporting, and surface insights to deal teams globally. These products serve deal strategists, pricing leaders, and senior executives who depend on them daily to structure, evaluate, and negotiate transformative contracts with the most strategic AWS customers. An ideal candidate pinpoints answers from broad data sets (deal telemetry, pricing models, customer usage, pipeline signals) at unprecedented scale, with speed and accuracy that does scales with volume growth. The role requires deep analytical acumen, the ability to define what questions matter most, and the product judgment to deliver answers in forms that drive action without sacrificing rigor. This is a high-visibility role. Outputs are consumed directly by GDSP leadership and AWS executives. Product decisions in this space have immediate, measurable impact on deal velocity, pricing quality, and revenue outcomes. Key job responsibilities - Own the 3 to 5 year product vision and roadmap for deal intelligence and automation capabilities across GDSP - Define products that leverage broad data sets (deal telemetry, pricing history, customer usage patterns, pipeline signals) to deliver precise, actionable insights at global scale - Partner with engineering to evaluate architectural trade-offs, including where AI, automation, and agentic systems create the highest analytical and operational leverage - Establish mechanisms (metrics frameworks, operational cadences, experimentation strategies) that make delivery repeatable and raise the quality bar across the organization - Influence and align stakeholders across multiple organizations to remove obstacles and deliver outcomes - Engage directly with customers (deal strategists, pricing leaders, GDSP executives) to validate direction and ensure the platform evolves ahead of demand - Create product artifacts (PR/FAQs, strategy narratives, business cases) that build alignment with senior leadership About the team The team builds products that power how GDSP operates. Internal tools are held to the same standard as external ones: clear, reliable, and built to scale., Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. ## Related Videos - [Building an agentic software factory: How we rebuilt product development at Pipedrive](https://www.wearedevelopers.com/videos/100261-building-an-agentic-software-factory-how-we-rebuilt-product-development-at-pipedrive) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [Containers in the cloud - State of the Art in 2022](https://www.wearedevelopers.com/videos/410-containers-in-the-cloud-state-of-the-art-in-2022) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Marketing x Product: How We Stopped Gaslighting Each Other and Built AI Products That Actually Work](https://www.wearedevelopers.com/videos/100244-marketing-x-product-how-we-stopped-gaslighting-each-other-and-built-ai-products-that-actually-work) ## Related Articles - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager)