Technical Program Manager, Foundation Models

On-site in London·Added today (last checked 4 Nov)

Google

260 open roles

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Our summary

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

Skills

Requirements

What we're looking for

Bachelor's degree or equivalent practical experience.
5 years of experience in technical program or project management in a software or AI environment, including experience in program delivery.

Nice to have

Experience with managing large-scale compute resources.
Strong ability to take ownership and operate proactively in fast-moving, ambiguous environments, keeping teams focused and organized amidst evolving priorities.
Strong relationship-building and cross-functional collaboration skills, paired with exceptional organization and strict attention to detail, and ability to communicate complex technical concepts clearly to various teams.
Passionate about artificial general intelligence (AGI) and emerging technologies, actively exploring and utilizing the latest AI tools, agents, and assistants to optimize daily workflows and enhance productivity.

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

What you'll do

Design, scale, and maintain central operational infrastructure using APIs, scripting, and custom integrations to establish a single source of truth.
Partner with internal engineering teams to pilot, build, and deploy generative AI tools for knowledge management and automated briefing generation.
Streamline ways of working by implementing team-wide tools, automated workflows, and governance models that simplify complex processes.
Translate organizational objectives into a prioritized portfolio of initiatives, tracking performance, managing risk, and anchoring teams to core goals.
Act as a trusted advisor to Marketing and Communications (Marcomms) and DeepMind leadership by providing operational insights, mitigating technical risks, proposing solutions, and managing budgets.

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.