Senior Global Robotics Data Operations Lead

Genesis; San Carlos (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Genesis is a full-stack general-purpose robot company seeking a data-collection operations lead. You will own and scale the data engine on the ground, from one floor to global, multi-shift operations, maintaining high quality and consistent practices.

You will manage scheduling, operator utilization, and throughput while building an expert operator bench across sites. This role partners with Quality, Process, and Annotation teams to ensure hours translate into training-ready data and scalable

Qualifications

• You have built data collection at scale in robotics or AI-enabled data operations.
• You have run a teleoperation, glove, or human-data operation at a frontier lab or leading data company.
• You manage throughput, scheduling, utilization, and floor metrics with rigor.

Responsibilities

• Run the floor end to end, managing scheduling, operator utilization, uptime, and throughput.
• Build the operator bench and develop senior operators for multiple shifts and sites.
• Maintain a single playbook and metrics across all floors and partner sites.
• Turn problems into processes by shipping SOPs, layouts and tooling.
• Collaborate with Quality, Process and Annotation to convert hours into training-ready data.
• Stand up partner-site collection through rehearsals and first deployments.
• Report the truth with clear metrics on data collected, quality, and cost.

Skills

Data collection at scale

Operations management

Scheduling & throughput

Team leadership

Job description

Genesis is a full-stack general-purpose robot company seeking a data-collection operations lead. You will own and scale the data engine on the ground, from one floor to global, multi-shift operations, maintaining high quality and consistent practices.

You will manage scheduling, operator utilization, and throughput while building an expert operator bench across sites. This role partners with Quality, Process, and Annotation teams to ensure hours translate into training-ready data and scalable