Technical Program Manager, Compute Planning, DeepMind

Socket.dev; Mountain View (CA); On-site; USD 217,000 - 236,000; Full time

Job summary

DeepMind in Mountain View is seeking a Technical Program Manager to join the Compute Planning team, shaping end-to-end planning and ongoing management of the ML hardware portfolio.

You will collaborate with Product Managers, Engineers and Researchers to optimize compute capacity, balance costs, utilization, and research velocity, and translate complex data into executive decisions for scalable AI deployment.

Qualifications

• Bachelor’s degree or equivalent practical experience in a technical field.
• At least 5 years of TPM experience in infra/AI environments.
• Experience with Python and SQL for data queries or automation.

Responsibilities

• Lead planning, tracking, and management of compute fleet at scale.
• Own end-to-end programs optimizing CPU, RAM, and TPU workloads for ROI.
• Partner with leadership to balance costs, utilization, and research velocity.
• Bridge Finance, Engineering, and Research with clear compute data for decisions.
• Debug bottlenecks and drive internal AI tooling adoption.

Skills

Python

SQL

Technical Program Management

Education

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

Tools

Cloud platforms (GCP, AWS, Azure)

Compute infrastructure knowledge

Job description

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
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.