Technical Program Manager, Compute Planning, DeepMind

Google DeepMind; Mountain View (CA); On-site; USD 217,000 - 236,000; Full time

Job summary

Google DeepMind in Mountain View is seeking a Technical Program Manager to lead the end-to-end planning and ongoing management of its ML hardware portfolio. You will join a high-impact Compute Planning team, collaborating with Product Managers, Engineers and Researchers to define and optimize compute capabilities for transformative AI projects.

As a TPM, you will drive scalable, repeatable solutions that balance costs with performance, ensuring ROI while aligning with DeepMind's safety and

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.

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 ROI.
• Partner with leadership to balance costs, utilization, and research velocity for key priorities.
• Bridge Finance, Engineering, and Research teams, translating compute data into executive decisions.
• Debug infrastructure bottlenecks and drive internal AI tooling adoption.

Skills

Python

SQL

PM experience

Education

Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.

Job description

• 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.

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 Job

As 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.

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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

Responsibilities

Learn more about benefits at Google .

• 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.

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 .