Technical Program Manager III, ML Strategy and Allocations, Cloud AI

Technical Program Manager III, ML Strategy and Allocations, Cloud AI _corporate_fare_ Google _place_ Sunnyvale, CA, USA; Kirkland, WA, USA; +2 more; +1 more

• Mid•Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

_info_outline_ XIn 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 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.

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; San Francisco, CA, USA

.

• Minimum qualifications:
• + Bachelor's degree in a technical field, or equivalent practical experience. + 5 years of experience in program management. + Experience developing SQL data pipelines and predictive dashboards for advanced analysis. + Experience conducting Machine Learning Financial Planning and Analysis (ML FP&A).
• Preferred qualifications:
• + 5 years of experience managing cross-functional or cross-team projects.

+ Understanding of the business and economic climate of AI/ML technologies. + Understanding of hardware transitions (TPU/GPU) and mapping physical data center capacity directly to high-priority AI initiatives. + Ability to translate massive fleet capacity into actionable allocation plans that align directly with AI priorities and commitments. + Ability to architect automated data reconciliation frameworks.

• 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. The Machine Learning Strategy and Allocations Program Management Office (PMO) sits at the core of Google's AI resource governance, working directly with executive product and AI leadership and driving strategic alignment across the entire AI ecosystem. We partner with all aspects of the company to enable the capacity allocation, planning, and governance for one of the world's largest Machine Learning fleets in the era of AI, ML, and Agents. Our mission is to ensure that Google's most critical AI products from Gemini and Search to Cloud and YouTube have the right ML compute at the right time to achieve maximum business and technical impact. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $163,000-$237,000 + 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 aboutbenefits at Google (https://careers.google.com/benefits/) .

• Responsibilities
• + Architect data reconciliation frameworks to unify disparate datasets from multiple systems (e.

g., resource symphony, allocation data, and fleet guidance), ensuring a single, high-fidelity source of truth for the ML fleet. + Audit and resolve data discrepancies across cross-functional team inputs to maintain the integrity of fleet capacity and usage metrics. + Develop and maintain complex investigative models that enable real-time, dynamic forecasting of ML fleet supply and demand, accounting for hardware transitions and shifting deployment timelines. + Engineer automated dashboards that provide leadership with what-if scenario modeling to visualize the impact of divestments or increased GPU demand on the total fleet. + Translate fleet capacity into actionable allocation plans for Product Areas (PAs), ensuring resource distribution aligns with Google's ML priorities and commitments. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies:

Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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 https:

//careers.google.

com/eeo/ and https:

//careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.