Technical Program Manager, ML Fleet Planning and Operations

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible U.S. 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 (statutory, where applicable); 5 days/event (discretionary)
• 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;
Addison, TX, USA;
Seattle, WA, USA;
San Francisco, CA, USA
.

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.

• Experience with data center, network, or machine learning infrastructure planning and deployment.
• Ability to identify, break down, and solve ambiguous processes and technical problems that span across many teams and organizations.
• Excellent communication and presentation skills, with the ability to represent projects from business, product, and technical perspectives to the highest levels of the company.

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.

ML Fleet Demand Planning is the authoritative source for Machine Learning (ML) infrastructure demand forecasting and allocation, enabling proactive, data-driven decisions that maximize the return on investment of Alphabet's AI Accelerators and supporting auxiliary resources. We aspire to establish industry-leading planning methodologies that are adaptable, transparent, and seamlessly integrated across the ML Fleet ecosystem.

The U.S. base salary range for this full-time position is $183,000-$271,000 + 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 U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Demand planning and forecasting the rapidly evolving demand for Google's ML infrastructure.
• Develop and maintain sophisticated demand models, analyzing trends, and collaborating with a wide array of stakeholders across Product Areas (PAs), research, and engineering to gather inputs and validate assumptions.
• Influence multi-billion dollar investment decisions and ensure that our capacity planning and supply chain are aligned with Google's AI objectives.
• Organize and lead new work streams, processes, and automation required to scale operations at a global scale. Work cross-functionally to communicate demand details and insights, drive demand process improvements, and create first-class documentation.

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.