Build and operate an integrated infrastructure planning capability for Alphabet that covers the 0-10 year horizon, transforming product demand, infrastructure constraints, and financial objectives into actionable capacity decisions and a unified infrastructure Plan of Record. The mission of the organization is to deliver planning intelligence and decision support, establishing common planning assumptions, telemetry, execution policies/principles, reporting and explainability that enable consistent planning and higher-confidence executive decision-making; integrated planning and execution, translating rapidly evolving product and business demand into integrated infrastructure plans spanning short-, medium- and long-term planning horizons; scenario evaluation and tradeoff analysis, enabling rapid evaluation of alternatives, supply constraints, and investment tradeoffs to support infrastructure allocation and prioritization decisions; and planning scalability and automation, improving planning velocity, consistency, and scalability through workflow automation, integrated planning systems, and operational tooling. As a Capacity Planning Manager, you will execute strategic planning initiatives that evaluate future infrastructure capacity requirements, coordinate planning activities across multiple organizations, and develop analyses that support executive decision-making. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Manager