Product Manager, GDM Robotics, DeepMind
About The Position
As a Product Manager in GDM Robotics, you will work at the intersection of frontier research, physical systems, and developer platforms. You will turn research and hardware constraints into product strategy and roadmaps, partner with research scientists and engineers, and bring models into real-world use with internal teams and external partners. Depending on your background, you may focus on simulation and developer experience, or physical AI safety, security, and evaluation. Google DeepMind is a pioneering AI lab with interdisciplinary teams advancing AI to address global challenges and support product innovation. The organization emphasizes public benefit, scientific discovery, safety, and ethics.
Requirements
- Bachelor's degree in Computer Science, Robotics, Mechanical or 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 Haves
- 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.
Responsibilities
- 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 to 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.
Benefits
- 20% bonus target
- Equity
- Benefits (details available through Google Careers)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
