Senior Product Manager, AI and Compute Infrastructure

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Responsibilities

• 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.

Qualifications

• Minimum qualifications: 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.

Pay

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits