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# Senior Product Manager, AI and Compute Infrastructure

- **Company:** Google LLC
- **Location:** Kirkland, WA, United States
- **Experience:** Expert
- **Salary:** $192,000.0 - $279,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Ubuntu (Operating System), Machine Learning, Node.Js, Software Engineering, Kubernetes, Deployment Automation, Microservices
- **Published:** July 2, 2026
- **Apply:** https://dejobs.org/x/x/00468D8C0C754BE1BDD72E06721C25D5/job/

## About the Role

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree or equivalent practical experience.

 * 8 years of experience in product management or related technical role.
 * 2 years of experience working Infrastructure as a Service and Kubernetes.
 * 2 years of experience with infrastructure platforms in the context of microservices or agentic architectures.
 * Experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI/ML).

Preferred qualifications:

 * Master's degree in a technology or business related field.
 * 4 years of experience in a role preparing and delivering technical presentations to executive leadership.
 * 3 years of experience in software development or engineering.
 * Experience with AI/ML in security.

## Description

* Evolve the GKE Node OS roadmap (COS, Ubuntu, Windows), aligning release cadences with Kubernetes and optimizing for security and reduced downstream toil.
 * Drive the customization strategy, including GKE Image Builder, balancing customer demands for flexibility (BYONI, non-mainstream OSs, custom kernels) with platform supportability.
 * Oversee predictable upgrade-in-place strategies to eliminate customer-experienced downtime during capacity constraints.
 * Guide the transition and technical enablement for new CPU NPIs across GKE Standard and Autopilot, including Day 0 support.
 * Partner with engineering to deliver runtime primitives for GPU/TPU workloads, including containerd strategic alignment, Pod Snapshotting, and image streaming.


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