Senior Manager, Cloud Capacity Planning, AI Solutions

Overview

The application window will be open until at least February 13, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Addison, TX, USA;
New York, NY, USA;
Thornton, CO, USA
.

• Bachelor s degree in a technical field, or equivalent practical experience.
• 10 years of experience in technical program management or managing cross-functional projects.
• Experience in capacity planning, supply chain management, or infrastructure deployment.
• Experience in data modeling, trend analysis, forecasting, or data analytics.
• Experience leading regular review meetings with cross-functional stakeholders to align business objectives with technical capabilities.
• Experience in software engineering, systems architecture, or a related technical role.

• 8 years of experience managing cross-functional or cross-team projects.
• Experience managing technical projects within the infrastructure and cloud domains.

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 ensure to provide capacity to our customers on-time and in the right location, thus supporting the business  tremendous growth potential. You will be overseeing various aspects of supply planning, demand planning, and program management to help coordinate across numerous stakeholders to deliver a seamless capacity experience for our Artificial Intelligence (AI)/Machine Learning (ML) customers.

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 $227,000-$320,000 + 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.

• Coordinate capacity planning activities for Google Cloud AI/ML portfolios and lead regular review meetings to align business objectives with technical capabilities.
• Collaborate with Engineering, Product Management, and Operations teams to ensure a smooth transition for customers migrating their workloads to Google Cloud.
• Design and implement capacity planning processes to improve…