Technical Program Manager, AI for Science

Google; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

DeepMind in London is seeking a Technical Program Manager for AI for Science to lead complex programs at the intersection of foundational models, AI agents, and scientific research. You will partner with research scientists, engineering leads, and product managers to shape roadmaps and drive delivery.

The role requires 5 years of TPM/engineering leadership in advanced research or ML environments, strong technical communication, and the ability to translate exploratory ideas into concrete plans

Qualifications

• Bachelor’s degree or equivalent practical experience in a quantitative field.
• 5 years of TPM/engineering leadership in research or ML environments.
• Experience translating exploratory initiatives into execution roadmaps.

Responsibilities

• Lead programs at the intersection of foundational models, AI agents, and scientific research.
• Partner with research scientists, engineers, and product managers to define roadmaps.
• Navigate ambiguity in breakthrough research with strong program definition and delivery.
• Drive integration of autonomous agents and research tooling into workflows.
• Collaborate across research pillars to maximize research velocity.

Skills

Technical program management

Engineering leadership

AI/ML systems knowledge

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, Computational Biology, Physics, or related quantitative/scientific discipline

Tools

Project management tools

Cross-functional collaboration tools

Job description

Technical Program Manager, AI for Science

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• Bachelor’s degree in Computer Science, Engineering, Mathematics, Computational Biology, Physics, a related quantitative/scientific discipline, or equivalent practical experience.
• 5 years of experience in technical program management, engineering program management, or technical leadership in advanced research, machine learning, or distributed systems environments.

Preferred qualifications:

• Demonstrated experience partnering directly with research scientists or technical leads to translate exploratory, ambiguous initiatives into concrete execution roadmaps.
• Strong conceptual grasp of modern AI/ML systems (e.g., large language models, multi-agent frameworks, or scientific computing pipelines) and the ability to evaluate technical trade-offs.
• Exceptional technical communication and stakeholder management skills, with a track record of driving cross-functional consensus across multidisciplinary teams.
• A deep passion for accelerating scientific discovery, clean energy, and health through artificial intelligence.

About the job

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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Lead and shape complex programs at the intersection of foundational models, AI agents, and scientific research within DeepMind’s SSI Initiatives Unit.
• Act as a trusted thought partner to research, engineering leads, product managers, and the wider program management team.
• Help navigate the deep ambiguity inherent in breakthrough scientific research through strong program definition, execution, and technical delivery.
• Drive the integration of autonomous agents, reasoning loops, and sandboxed research tooling into scientific workflows.
• Collaborate across research pillars, from biology and quantum chemistry to automated theorem proving and compute infrastructure. Ensure scientific teams have the operational rhythm, technical alignment, and resource access needed to maximize research velocity.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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