Technical Program Manager, AI for Science

Google LLC; Greater London; On-site; GBP 110,000 - 165,000; Full time

Job summary

Google 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 researchers, engineers, product managers, and the broader team to define roadmaps and deliver high-impact initiatives.

You will navigate ambiguity in breakthrough science, drive technical delivery, and coordinate tooling and compute resources across diverse research pillars.

Qualifications

• 5 years of experience in technical program management, engineering program management, or technical leadership in advanced research, machine learning, or distributed systems environments.

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.

Skills

Technical program management

Cross-functional collaboration

Education

Bachelor’s degree in CS/Engineering/Math/Physics or related quantitative field

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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