# Principal TPM, Agentic WorkSpaces (AAWS) at Amazon

Amazon is hiring a Principal TPM, Agentic WorkSpaces (AAWS) in Seattle, United States. It pays $177k-$239k a year and Level rates it Works on AI ●●●○; you can [apply on Amazon](https://jobsbylevel.com/go/1fa04a35-3e76-4583-b815-50e32962ab12?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. US, WA, Seattle.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 3 (score 65 out of 100)
- Location: US, WA, Seattle
- Salary: $177k-$239k
- Posted: September 11, 2026
- Apply: https://jobsbylevel.com/go/1fa04a35-3e76-4583-b815-50e32962ab12?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-tpm-agentic-workspaces-aaws-at-amazon-80e866

## Prepare for this job

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## Description

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset. Within AAIS, Amazon WorkSpaces is our cloud-based virtual desktop service that delivers secure, managed computing to over one million daily users across the globe, enabling organizations to provision, manage, and scale desktops with the reliability and performance their workforce depends on. We are now at an inflection point. We are transforming traditional virtual desktops into Agentic WorkSpaces a new category of intelligent persona driven workspace experiences where AI agents operate continuously alongside humans orchestrating across foundation models maintaining enterprise governance and unlocking productivity at scale. This transformation spans multiple strategic pillars from next generation architecture modernization to AI powered capacity intelligence to entirely new product constructs all converging toward a single mission: making WorkSpaces the definitive venue for human AI teamwork in the enterprise. We are looking for a Principal Technical Program Manager to own the lifecycle of the most complex cross organizational programs driving this transformation. You will manage multiple concurrent workstreams spanning capacity intelligence, architecture modernization, agentic AI integration, persona-driven workspace experiences, and new product incubation stitching together a coherent narrative for executive leadership while proactively identifying and mitigating risk across every dimension. This is not a role for someone who waits for problems to surface. You will operate at the intersection of deep technical understanding methodical program execution and executive influence driving clarity where ambiguity exists building mechanisms that scale cross functionally and establishing trust with VPs and SVPs across AWS and AAIS leadership. Key job responsibilities • Multi-Workstream Program Ownership Own end to end delivery of significantly complex cross functional technical initiatives spanning multiple organizations across science engineering product business and data engineering. Drive simultaneous workstreams including agentic AI integration, workspace persona experiences, architecture modernization, capacity forecasting and optimization, and new product incubation with clear dependencies milestones and accountability. Stitch together disparate workstream narratives into a unified coherent story for leadership reviews QBRs and S Team updates. • Proactive Risk Identification and Mitigation Develop mechanisms to surface risk early: capacity gaps service dependencies migration blockers science to production handoff delays and timeline slips before they escalate. Own escalation paths and drive resolution at the right level. You are escalated to, not escalating up. Build data driven risk models that quantify trade offs between investment timing technical debt and customer experience informing executive decision making with precision rather than intuition. • Technical Depth and Influence Understand system architectures deeply enough to challenge engineering teams spot risks in technical proposals and drive simplification across a portfolio that spans ML inference pipelines agent orchestration frameworks desktop streaming protocols and distributed infrastructure. Evaluate capacity plans scaling signals and architecture trade offs with confidence. Influence design decisions across service teams to unblock innovation accelerate delivery and ensure that

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Source: https://jobsbylevel.com/jobs/principal-tpm-agentic-workspaces-aaws-at-amazon-80e866

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-tpm-agentic-workspaces-aaws-at-amazon-80e866.

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