Senior Data Operations Manager

Posted Yesterday
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7 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Machine Learning • Robotics
The Role
Own and scale end-to-end physical-data collection operations: scheduling, operator utilization, station uptime, throughput and quality. Recruit and develop operators and shift leads, standardize playbooks and SOPs across sites, partner with Quality and Annotation teams, stand up partner-site deployments, and build reporting that tracks collected hours, quality, and cost.
Summary Generated by Built In
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.

Skills Required

  • Proven experience building data collection operations at scale (teleoperation, glove, or human-data operations)
  • Deep expertise in throughput metrics: scheduling, utilization, yield, and station uptime
  • Track record of running high-quality operations with measurable quality standards and yield management
  • Experience recruiting, leveling, mentoring, and developing operators and senior shift leads
  • Ability to create SOPs, floor layouts, and tooling to improve ramp and operational efficiency
  • Experience partnering with Quality, Process, and Annotation teams to convert collected hours into training-ready data
  • Experience standing up and running partner-site collections including mock-runs and initial deployments
  • Strong reporting skills: build truthful metrics on collection volume, quality, and cost
  • Bias for action, deep ownership, and demonstrated ability to drive results without waiting for permission
  • Comfort operating across sites, cultures, and time zones (including Asia and Europe)
Am I A Good Fit?
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The Company
86 Employees
Year Founded: 2025

What We Do

Genesis AI is a global full-stack robotics company developing general-purpose robots with human-level intelligence and capabilities. It aims to build foundational AI models that automate repetitive tasks across applications such as lab work and housekeeping. The company uses a proprietary physics engine to generate synthetic physical-world data, helping train robotics models for diverse real-world environments, and operates across Paris and Silicon Valley.

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