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

About the role

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.

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.

Requirements

• 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).

Qualifications

• 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 architect automated data reconciliation frameworks.

Skills

• Technical expertise in program management.
• Experience with SQL data pipelines and predictive dashboards.
• Experience with Machine Learning Financial Planning and Analysis (ML FP&A).
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.

Pay

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.