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# Technical Program Manager III, Technical Infrastructure, Cloud Systems

- **Company:** Google LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $163,000.0 - $236,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Cloud Computing, Reliability Engineering, SQL Databases, Cloud Platform System
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c803c8c739913479

## About the Role

* Bachelor's degree in a technical field, or equivalent practical experience.
 * 5 years of experience in program management.
 * Experience with systems or technical infrastructure.
 * Experience as an engineer (e.g., Site Reliability Engineer or Software Engineer, etc.)., * 5 years of experience managing cross-functional or cross-team projects.
 * Experience owning end-to-end functional slices of infrastructure stack across distributed cluster management, cloud infrastructure, operating systems/virtualization, networking, and hardware/software platform launches through legacy decommissioning.
 * Experience consolidating fragmented tracking silos into a single automated/AI-assisted source of truth.
 * Experience connecting dots across organizational boundaries, closing unowned integration seams, and structuring customer intake and OKR/QBR cadences.
 * Thrives in ambiguity and ability to ramp rapidly on unfamiliar domains, understand multi-layer system trade-offs, query telemetry/SQL directly, and surface technical risks early with engineering leads.

## Description

* Own horizontal functional slices across multiple layers of the infrastructure stack from hardware and kernel/runtime up through cluster scheduling, capacity control planes, and customer workloads. Grasp system-level trade-offs (such as compute utilization vs. memory headroom and reliability), surface hidden technical collisions early, and deliver risk assessments.
 * Operate in an environment where static multi-year roadmaps have given way to rapid priority shifts and urgent escalations. Establish disciplined intake gates, work-in-progress limits, and decision lock-in so programs don't stall.
 * Replace repetitive status-reading meetings and manual toil with a single live source of truth, AI-assisted workflows, and concise decision artifacts that busy engineers and leads can review and approve rapidly.
 * Replace reactive escalations with structured cross-organization partner intake, rigorous OKR/QBR cadences, and measurable infrastructure outcomes across compute efficiency, capacity yield, hardware launch velocity, and production reliability.