Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in technical program management, capacity planning, infrastructure planning, strategy, program management, supply chain, finance, business operations, or management consulting.
- 8 years of experience leading cross-functional planning initiatives involving engineering, product, operations, or finance organizations.
- 8 years of experience performing quantitative analysis and presenting recommendations to executive leadership.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- Experience in hyperscale infrastructure planning, capacity planning, investment planning, or infrastructure strategy.
- Experience evaluating infrastructure investment trade-offs, resource allocation, or supply planning decisions.
- Ability to simplify complex infrastructure planning problems into clear, data-driven executive recommendations.
- Excellent problem solving, executive communication, and stakeholder management skills.
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 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 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.
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.US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead strategic capacity planning initiatives supporting Alphabet's infrastructure investments across compute, storage, networking, power, and data center infrastructure. Evaluate infrastructure alternatives by analyzing demand growth, engineering constraints, supply availability, deployment options, investment trade-offs, and business risks.
- Develop planning frameworks that improve the speed, consistency, and quality of infrastructure planning decisions. Build executive-ready business cases, investment analyses, and recommendations supporting infrastructure prioritization and allocation decisions.
- Partner across product areas, engineering, supply chain, finance, and data science to integrate evolving planning signals into a unified infrastructure plan of record.
- Define planning assumptions, evaluation methodologies, business rules, and decision frameworks that improve planning quality across Alphabet.
- Partner with Engineering teams to define business requirements for capacity planning systems, optimization capabilities, and decision-support tooling. Integrate planning recommendations into Alphabet's long-range infrastructure planning and executive investment processes.
