Product Manager, GDM Robotics, DeepMind

On-site in London·Added today (last checked 6 Nov)

Google

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Our summary

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

Skills

Nice to have

Requirements

What we're looking for

Bachelor's degree in Computer Science, Robotics, Mechanical/Electrical Engineering, Physics, a related technical field, or equivalent practical experience.
7 years of experience in product management, including taking technical products from concept to launch.
Experience in robotics, through a robotics degree or prior work in the robotics industry.

Nice to have

Experience with robotics safety, functional safety, or safety-critical systems.
Experience with security for connected devices, robots, or AI systems.
Experience with simulation, synthetic data, or developer tools, including building or commercializing APIs and SDKs.
Experience designing evaluations, benchmarks, or reliability metrics for AI/ML or hardware-in-the-loop systems.
Experience with AI/ML systems such as foundation models, multimodal models, or Vision-Language-Action models.
Ability to drive ambiguous, zero-to-one initiatives in a fast-paced, research-driven environment, and to align research, engineering, and partner teams.

Pay & benefits

What you'll get

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; London, UK.

The role

As a Product Manager in GDM Robotics, you will work at the intersection of frontier research, physical systems, and developer platforms. You will turn hard research and hardware constraints into clear product strategy and roadmaps, partner closely with research scientists and engineers, and get our models into real-world use with internal teams and external partners. Depending on your background, you may focus on areas such as simulation and developer experience, or physical AI safety, security, and evaluation.

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

Define product strategy, requirements, and roadmaps for GDM Robotics models and platform capabilities.
Partner with research scientists and engineers to turn research breakthroughs into reliable products and tools.
Establish benchmarks, evaluations, and success metrics that track model quality, safety, and real-world usefulness.
Drive internal dogfooding and early partner deployments to pressure-test products before broad launch.
Lead launches end to end with partners across Google, including Cloud, Responsibility & Safety, Policy, and Legal, to drive real-world impact.

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.