Senior Quality and Process Manager

GenesisSan Carlos, CA

About The Position

Genesis is a full-stack general-purpose robot company with a 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. The company has shipped a frontier model, a glove-and-hand stack built to one shared geometry, and Eno, and put it in front of the world, fast. This role owns the bar that makes the data behind it good enough to train on, every hour of it. The position involves defining what a passing hour is, building the QA that enforces it, and engineering the standardized workflow that lets quality hold as the company scales from one floor to a global operation. The role will own metrics such as accept-rate, first-pass yield, rework, and cost per accepted hour, and tie them to model outcomes rather than paperwork. The goal is to make the floor operation recognizable to a world-class process engineer.

Requirements

  • Owned data quality and process at a serious operation.
  • Five to ten years leading data, quality, or operational teams.
  • Experience at a frontier robotics lab, an embodied-AI company, or a top data or labeling operation, where you set and raised the bar for quality.
  • Metric-driven and analytical. You diagnose quality issues from data and ship corrective actions. Standard work, root-cause, and continuous improvement are how you think.
  • You have built, not inherited. You have stood up a quality function and an acceptance standard where none existed.
  • A quality-first mind, without becoming the bottleneck. You hold a hard bar and still keep the line moving.

Nice To Haves

  • Six Sigma or equivalent is a plus.
  • SQL or Python is a plus.
  • Robotics or sensor-data fluency. Experience with robotics, autonomy, or sensor-derived data is a strong plus.

Responsibilities

  • Own the data-quality metrics. Own accuracy, consistency, rework rate, first-pass yield, and the accept-rate every lane is measured against, and report them to leadership.
  • Make the acceptance bar a written contract. Publish a versioned acceptance standard and a defect taxonomy every site grades against, so good is defined, not argued.
  • Build the QA and audit system. Stand up the review pipeline, audit process, and escalation workflow that catch problems on the floor and at annotation, every day.
  • Close the loop with operators fast. Run a feedback turnaround quick enough to change operator behavior the same week, and turn edge cases into guideline updates.
  • Engineer and standardize the process. Turn how we collect into documented, repeatable work, so each site and station ramps faster than the last.
  • Translate model needs into the bar. Be the point of contact between collection, QA, and the model team, turning what the model needs into clear acceptance criteria.
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