Lab Operations Manager, Robotics

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

Manage the daily rhythm of the lab with an eye on increasing research velocity, oversee space allocation, robotics equipment deployment and operational workflow optimization in coordination with our external vendors to ensure no researcher or engineer is ever "blocked."

Lead management and maintenance of floor-lab infrastructure, including camera systems, sensors, and real-time dashboard monitoring to maintain high visibility on station availability and operating parameters.

Coordinate hardware shipments, deliveries, export declarations, and customs documentation in partnership with logistics teams and suppliers, and oversee freight intake in collaboration with external vendors.

Drive operational excellence by embedding 5S and Lean methodologies to maintain consistent, high-standard environments and tooling across all partner platforms and prototypes.

Ensure operational readiness for executive visits, leadership tours, live robot demos, and recruiting events without interrupting ongoing research.

Minimum qualifications:

6 years of experience in Manufacturing Operations, Production Management, Factory Floor Management or equivalent physical environment.

Experience with Lean, Six Sigma or equivalent, specifically applied to Research and Development (R&D)/prototyping environments.

Preferred qualifications:

Proficiency in reading dashboards and defining metrics. Must have experience utilizing gSuite .

Ability to speak "Hardware" and "Software." You understand the difference between a firmware brick and a mechanical failure.