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# Technical Program Manager III, ML Strategy and Allocations, Google Cloud

- **Company:** Google LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $163,000.0 - $237,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Centers, Machine Learning, SQL Databases, Google Cloud
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4184dbf5d0291266

## About the Role

Do you have experience in SQL?, Do you have a Bachelor's degree?, * 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)., * 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.

## Description

* 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.

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.


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