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X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.
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 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 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.
Google 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.
The US base salary range for this full-time position is $240,000-$334,000 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 .
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.

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