Technical Program Manager, Biosecurity, DeepMind

On-site in London·Added 2 days ago (last checked 26 Oct)

Google

223 open roles

Apply

Our summary

Work mode: On-site, London
Experience: 7+ years

Skills

Nice to have

Bioinformatics

Requirements

What we're looking for

7 years of experience in technical program management.
Experience managing programs in a technology, government, national security, or policy-focused organization.

Nice to have

Experience working with life science data, such as in bioinformatics or health informatics.
Experience evaluating program success against strategic OKRs and sharing actionable insights to drive continuous improvement.
Proven ability to manage portfolios with a high element of organizational change, leveraging change management principles effectively.
Ability to act as an independent sounding board, utilizing coaching techniques to empower cross-functional teams.
High degree of curiosity and a demonstrated passion for acquiring new domain knowledge to enhance program impact.

The role

Artificial intelligence will be one of humanity's most transformative inventions. At Google 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

Collaborate with leadership to refine strategy, effectively communicating it across the organization and translating evolving priorities into an actionable portfolio with insightful oversight. Deliver key technical aspects of the Bioresilience portfolio to accelerate research, including roadmap development, risk management, cross-functional alignment, and technical work.
Provide technical data and influence decision-making across the organization, including evaluating research impact, building feedback mechanisms, identifying data needs, and supporting cross-functional roadmap alignment. Lead and role model end-to-end program planning and delivery of key priorities when needed.
Drive engagement across the team by building relationships, sharing constructive feedback and challenging established ways of thinking.
Ensure and proactively shape culture to ensure best practices in program management across the team.
Coach teams through fostering collaboration, driving engagement, and providing clear communication in pursuit of clearly defined goals.

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.