Senior Data Operations Manager

Job description

Job responsibilities

• Run the floor end to end. Own scheduling, operator utilization, station uptime, and the throughput that delivers accepted hours at the quality bar, every week.
• Build the operator bench. Recruit, level, and develop operators and the senior operators who run shifts, until the team is deep enough for multiple shifts and multiple sites.
• Hold one standard everywhere. Make every floor we run and every partner site collect to the same playbook, the same metrics, and the same bar.
• Turn problems into process. Root-cause what slows the floor and ship the SOPs, layouts, and tooling that make the next site ramp faster than the last.
• Partner on quality and annotation. Work hand in hand with the Quality and Process and Annotation functions so collected hours convert cleanly into training-ready data.
• Stand up partner-site collection. Rehearse and run the mock-runs and first deployments that bring partner operators onto our gear.
• Report the truth. Build the reporting that tells the company, honestly, what we collected, at what quality, and at what cost.

Job requirements

• You have built data collection at scale, and it shows. You have run a teleoperation, glove, or human-data operation at a frontier robotics lab, an embodied-AI company, or a top data operation, and you know the…
• Throughput is in your blood. Scheduling, utilization, yield, and the hundred details of a working floor are second nature.
• Quality is never optional. You have run an operation where the bar was real and measured, and you held it without slowing the line.
• You run through walls. Bias for action, deep ownership, and a refusal to wait for permission. You see what needs doing and make it happen.
• You build teams that win. You hire well, coach honestly, and people do their best work for you.
• You work across sites and cultures. You are comfortable partnering with our teams and sites in Asia and Europe, and operating across time zones.