The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
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.
Minimum qualifications
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.).
Preferred qualifications
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.
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.).
