Technical Program Manager III, Compute Infrastructure, Cloud AI

Overview

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Kirkland, WA, USA;
Sunnyvale, CA, USA
.

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience managing compute and storage capacity.
• Experience building, automating, and developing distributed systems.

• 5 years of experience managing cross-functional or cross-team projects.
• 5 years of experience in capacity planning or large-scale infrastructure, with a focus on managing compute and storage capacity within a hyperscaler environment.
• Experience collaborating and influencing stakeholders spanning across multiple organizations and different levels of responsibilities.
• Experience managing or supporting infrastructure software development.
• Ability to pivot between granular data analysis and high-level thinking, while tailoring communication for stakeholders at all levels.
• Demonstrated track record of delivering multiple ambiguous projects concurrently.

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.

In this role, you will combine planning and process expertise with technical skills to drive high-impact resource management and fleet defragmentation programs. These efforts ensure Google manages its data center capacity with peak efficiency. You will maintain an end-to-end view of problems, partnering with engineering and operations teams to define resource management strategies, track critical issues, and manage escalations to ensure successful outcomes.

Additionally, you will drive increased scope and scale by identifying gaps in processes or tooling and defining the features needed to accelerate future infrastructure efforts.

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.

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,…