Technical Program Manager III, Physical Infrastructure Hardware, Cloud AI Systems

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 5 years of experience in program management.
  
• Experience with New Product Introduction (NPI).
• Experience with physical infrastructure hardware, including the development of cooling systems (e.g., chip-level, rack-level, or liquid cooling) or power distribution systems (e.g., rack Power Distribution Units (PDUs) or busbars).

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience managing third party development and manufacturing activities.
• Knowledge of data center operations and technical infrastructure.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

As a Technical Program Manager, you will facilitate development of our Physical Infrastructure Hardware programs supporting cooling and rack-level power distribution for the Google data center network. You will be responsible for all aspects of a product's progress through the Product Life Cycle (PLC) process including identifying business needs and generating possible solutions, development of business case and ROI, product development, pilot testing, and eventual scaled production deployment. You will require extensive collaboration with the Platforms Infrastructure Engineering (PIE) team, stakeholder teams across Google, as well as contract manufacturers.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Partner with key engineering leads/stakeholders, contributing to Platforms Physical Infrastructure roadmap by program managing projects, organizing cross-project work within the programs, and defining program controls, governance, and standards.
• Lead end-to-end development and landing of next-generation Physical Infrastructure products by managing programs through the NPI product lifecycle process from concept to production and sustaining.
• Engage with executives and cross-functional leaders to strategize and drive elements of the Physical Infrastructure roadmap.  
• Ensure all leadership/stakeholders are aware of progress/blockers on a continuous basis; drive strategic and tactical decisions throughout all organizations and levels.