Technical Program Manager III, ML Strategy and Allocations, Cloud AI
- Sunnyvale, CA
- 30+ days ago
- Full-time
- Employee
Highlights
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. 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.
Numbers & Facts
| Location | Sunnyvale, CA |
| Job Type | Full-time, Employee |
| Industry | Computer Software |
| Company Size | 10,000 employees or more |
| Year Founded | 1998 |
| Website | https://goo.gle/4dbno6V |
Description
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: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.
- 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
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefitsLearn more about benefits at Google.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.
Benefits
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
About Company
Build for everyone
Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.
It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.
So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Benefits
We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.
Learn more about Google’s benefits on this site featuring Googlers’ experience.
How we Hire
Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.