Minimum qualifications:- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- Experience with planning processes, systems, and tools (e.g., demand and supply planning, capacity planning, constraint-based planning, change management).
- Experience in one or more planning leadership roles in server, power, data center, networking or networking planning, or machine delivery.
Preferred qualifications:- Bachelor's degree in Supply Chain Planning, Operations Research, Engineering, a related field, or equivalent practical experience.
- 15 years of experience in Cloud, technical infrastructure, or equivalent planning, or 10 years of experience with a relevant advanced degree.
- 10 years of experience managing complex cross-functional or cross-team projects.
- Ability to prepare, align and present recommendations in an executive allocation forum.
About the jobGoogle runs one of the largest computational fleets in the world. We are looking for an Uber Technical Lead to own the architectural goal technical strategy for our global capacity planning ecosystem. You will serve as the primary technical authority for a multi-billion-dollar challenge, knitting together complex planning constraints, optimization scenarios, and machine deployment workflows to get optimal capacity online in the shortest time.
As a Technical Leader, you will bridge the gap between long-term product roadmaps and engineering execution. You will oversee the technical integrity of programs taking chips from fabs to gigawatt-scale data centers, ensuring usable network and compute capacity is maximized. You will require technical stewardship across forecasting, demand-supply matching, and scenario analysis to drive globally-optimal outcomes for Google Cloud.
In this role, you will navigate extreme staffing constraints and key person dependencies while managing high-priority accounts. You will provide the technical authority needed to mediate severe constraints such as power shortages and supply delays ensuring our infrastructure remains customer-focused and sustainable
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: $240000 - $334000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Define the architectural roadmap for capacity planning, ensuring technical decisions align with Google-level objectives and key results and long-term business goals. Provide expert direction and decision-making in executive forums to align customer expectations with realistic supply and power outlooks.
- Drive the development of automated tooling, resource lifecycle management, and data-driven dashboards to improve planning fidelity and execution velocity.
- Lead the technical translation of customer business forecasts into specific infrastructure requirements across cores, storage, and networking. Identify and lead mitigation strategies for technical risks that threaten delivery timelines or business stability.
- Advocate a culture of accountability and technical reasoning across engineering squads. Advocate a culture of transparency, accountability, and technical excellence across the entire organization.
- Act as the primary technical bridge between capacity infrastructure, engineering teams, and strategic partners to resolve complex dependencies and resource constraints.
