Technical Program Manager III, NPI Hardware, Cloud AI Systems
Google · Sunnyvale, CA
About this role
Google is hiring a mid-level Technical Program Manager in the software engineering function based in Sunnyvale, CA. The posting calls out experience with Distributed Systems, Machine Learning. Compensation is listed at $163,000–$237,000 per year.
- Role
- Technical Program Manager
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Sunnyvale, CA
- Posted
- May 20, 2026
More roles at Google
Job description
from Google careersGoogle's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.
The Platforms Infrastructure Engineering Program Management Office (PMO) is part of Technical Infrastructure (TI) under Cloud AI programs organization and partners with Google Compute Engine/Technical Infrastructure Engineering, Networking, Data Center, Supply Chain and Operations teams to deliver a broad product roadmap of AI/ML and Standard Compute systems, and solutions critical to enabling Cloud (3P) IaaS business and Google (1P) services.
In this role, you will be the lead technical program manager driving system and solution development to deliver next generation standard compute systems for Cloud, TI and AI/ML use cases.