Technical Program Manager, AI for Science

On-site in London·Added today (last checked 10 Nov)

Google

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Our summary

Work mode: On-site, London
Experience: 5+ years

Skills

Requirements

What we're looking for

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.

Nice to have

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.

The role

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.

What you'll do

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.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all

Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter

Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
AI tools are not permitted during interviews.
For some roles, pre-selected interviews happen virtually before final interviews onsite.