Minimum qualifications:- Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
- 5 years of experience in technical program management in an infrastructure or AI environment.
- Experience in Python and SQL to query data or script automations.
Preferred qualifications:- Experience managing compute capacity at Google (compute infrastructure) or in industry across other cloud providers (e.g., GCP).
- Knowledge of data center infrastructure and operations.
- Ability to communicate complex technical concepts clearly to various sets of teams.
- Strong relationship-building and cross-functional collaboration skills.
- Initiative to solve problems with solutions that are repeatable, scalable and sustainable.
About the jobAs a Technical Program Manager (TPM) in the Compute Planning team, you will play a key role in the end-to-end planning and ongoing management of DeepMind's extensive ML Hardware portfolio.
You will be joining a high-impact team of TPMs to work alongside our Product Managers, Engineers and Researchers to help define and optimize DeepMind's overall capabilities in the compute space.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $217000 - $236000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Lead planning, tracking, and management of the compute fleet at scale.
- Own end-to-end programs optimizing CPU, RAM, and TPU workloads to deliver clear organizational Return on Investment (ROI).
- Partner with leadership to balance costs, utilization, and research velocity for key priorities.
- Bridge Finance, Engineering, and Research teams, translating complex compute data into executive decision-making.
- Debug infrastructure bottlenecks, scale self-serve documentation, and drive internal AI adoption (Gemini Enterprise, internal APIs) for tooling.
