Program Manager III, Data Center Resource Management, Cloud Supply Chain

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in program or project management.
• Experience in data center fleet management or data center resource management.

• 5 years of experience managing cross-functional or cross-team projects.
• Experience with scripting and business tool development using SQL or Python.
• Experience working with a Software Engineering team to diagnose and resolve systemic issues.
• Excellent influencing skills with the ability to deliver solutions in a changing environment.

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 Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

The Central Fleet Technical Program Management team is responsible for provisioning fleet compute and storage resources to Google's resource managers while managing the cost, health and lifecycle of the underlying fleet of machines. The team leverages Google's resource abstraction systems to expose and execute on opportunities for inventory and fleet optimization. The team partners with the fleet's stakeholders, giving them a platform to influence fleet composition and design. The Central Fleet's mission is to synthesize all stakeholders' needs and orchestrate changes to the fleet, driving the fleet's evolution.

As a Program Manager, you will be responsible for leading cross-functional programs focused on solving problems in cloud computing and pushing the leading edge of modern operations management. You will work with Google's physical supply chain, data center planning and software engineering teams to design, deploy and manage the systems that are used to optimize Google's fleet of shared compute and storage resources.

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 team behind Google's groundbreaking innovations, empowering the development of our 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 $147,000-$216,000 + 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.

• Manage a portfolio of projects related to fleet efficiency, resource stranding, reverse supply chain and other fleet priorities. Translate new supply chain capabilities into cost reduction initiatives or user-facing feature improvements.
• Manage the business logic used to process forecasts, aligning the needs of internal users with business efficiency goals.
• Manage on-time delivery and inventory levels of shared fleet quota resources. Partner with customers of shared fleet quota to understand resource provisioning needs and patterns of resource returns.
• Work with a product development team to create next-generation resource distribution systems and optimization models.
• Understand customer and data center constraints, incorporating them into fleet automation, leading new feature launches and communicating to the user community and partners.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.