Operations Manager - Data Collection

- Own the quality standard for the floor — build and continuously improve QA processes (acceptance criteria, spot checks, feedback loops) so collected data meets the needs of the research team

- Build and maintain the trackers, documentation, and reporting cadence for output, quality, and team performance

- Own the data from collection to hand-off — track what's been collected, ensure nothing is lost or mislabeled, and investigate quality issues the research team flags

- Identify where output is being lost in the process and drive improvements

- Keep the floor unblocked — coordinate with internal teams to make sure task assignments, equipment, and tooling are ready before the floor needs them

- Flag upstream delays or blockers early so they don't turn into floor downtime

- Maintain a backlog of approved work so the team is never sitting idle

- As the team grows, hire and onboard new collectors and eventually build the supervisory layer beneath you

- Define how the floor operates — schedules, standards, workflows — so the system scales without breaking

- Coach and develop collectors — give regular feedback and grow your strongest people into leads

- Build a floor culture of ownership, reliability, and continuous improvement

- 2-4 years of experience managing or supervising hourly workers in a warehouse, factory, production floor, or similar structured environment

- Comfortable being a player-coach — you're not too senior to do the work, and not too junior to lead the team

- Track record of hitting output targets and holding a small team accountable to daily and weekly metrics

- Experience managing repetitive, high-volume work — you know how to keep people engaged and productive through structured, routine tasks

- Organized and proactive — you don't wait for problems to find you

- Clear communicator, written and verbal — you can run a daily standup, give direct feedback, keep documentation current, and escalate issues cleanly

- Experience building or improving processes — you can create structure where it doesn't exist yet, not just run an existing playbook

- Comfortable with spreadsheets, trackers, and metrics reporting

- Experience scaling a small team quickly — hiring, onboarding, and ramping up production capacity

- Familiarity with data collection, annotation, or quality control operations

- Any exposure to robotics, manufacturing automation, or tech environments

- Startup or fast-scaling environment experience