Data Operations Manager

Genesis AI; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Genesis AI in San Francisco is seeking an operations manager to oversee the data collection system for their robotics projects. The ideal candidate will manage scheduling, optimize throughput, and ensure quality standards are met.

Experience in a similar role at a frontier robotics or AI lab is essential. The role requires strong leadership skills, a focus on quality, and the ability to work across multiple teams and sites.

Qualifications

• Experience in running data collection at a frontier robotics lab or similar.
• Proven ability to manage throughput and quality standards.
• Strong team leadership and development skills.

Responsibilities

• Oversee scheduling, operator utilization, and throughput.
• Recruit and develop operators for various shifts.
• Maintain consistent quality metrics across all operations.
• Optimize processes and address operational problems.
• Collaborate with quality and annotation teams.
• Manage partner-site data collection efforts.
• Build honest reporting on data collection outcomes.

Skills

Data collection at scale

Scheduling and utilization

Quality management

Team building

Cross-site collaboration

Job description

About Genesis

We are a full-stack general-purpose robot company, born across San Francisco and Paris and bound by a single mission: to make general-purpose robots a reality, unlocking infinite physical labor for the world and freeing people for creativity, exploration, and the pursuits they love for their own sake.

We are French and American by birth and global by nature. We are backed by partners who share our vision, including Eclipse, Khosla Ventures, Bpifrance, and HSG, alongside Eric Schmidt, Xavier Niel, Daniela Rus, and Vladlen Koltun. Our people work across the Bay Area and Europe, building the engine that will teach robots to do real work in the real world. We recently unveiled Eno, our wheeled, dexterous robot powered by our GENE foundation model, and we are starting to put it to work with real customers.

The role

The hardest part of building general-purpose robots is not the model. It is the data: real, dexterous, physical-world manipulation that does not live on the internet. Our unlock is a data-collection glove built to the exact geometry of our robot hand, unobtrusive enough that a person can wear it through a normal workday, so ordinary work becomes training data that transfers to the robot without loss. Paired with our own hardware, simulation, and models in one tight loop, that is the most scalable manipulation data engine in the world.

This is the role that runs that engine on the ground. You will own the system that turns stations, workforce, and facilities into one reliable operation, end to end, from the operator at the station to the accepted hour that lands in training. You will grow it from a single floor into a global, multi-shift operation that holds a world-class quality bar as it scales. We are looking for someone who has run data collection at scale and is hungry to do it again at the frontier of physical AI.

What you'll do

• 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.

What we're looking for

• 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 difference between hours collected and hours that actually train a model. There is a short list of places this work happens. If you have done it, we want to talk.

• 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.

How we work

We are always looking for people who are driven to work on hard problems and want to shape what the world will look like in ten years. A few of the values that guide us:

• Limitless ambition. We hold ourselves to the highest bar in everything we build.

• Relentless urgency. Iterate faster, learn faster. Time is the denominator.

• Type‑2 Fun. Take the work seriously, not yourself. Embrace the grind and find joy in the struggle.

• Radical transparency. Candid communication builds trust, and direct feedback drives growth.

• Multiculturalism. We come from across the world. Be curious. Meet people on their terms.

• Team over ego. Help others, share context, and win as a team.

• A joyful journey. We take pride in the craft, enjoy the ride, and make space to laugh. Happiness is part of how we get there.