Operations Manager at Trace, facilitating real-world data capture for physical AI. Coordinating logistics, training, and troubleshooting during operational launches with partners.
Responsibilities
Plan each launch: schedules, shift timing, site constraints, access requirements, and shipping
Coordinate hardware logistics end to end (devices, cables, SSDs, chargers, labeling, backups)
Set up onsite “HQ,” test gear, charge devices, and prepare the workflow for the day
Train groups of workers (often 15–25 at a time) to use the equipment safely and correctly
Troubleshoot issues calmly in real time and coordinate remote support when needed
Monitor capture progress, manage data handling, and prevent small issues from becoming big ones
Build and refine checklists and SOPs so launches become repeatable and easier each time
Document what broke, what worked, and what we should change for the next site
Work from home when you're not traveling to capture sites
Requirements
2+ years in start ups, marketplace ops, field ops, or similar roles
Extremely organized with strong follow-through
Calm under pressure and good instincts when things break
Strong communicator who can earn trust with site owners and frontline workers
Comfortable being on your feet, handling gear, and working in a range of environments, including factories and industrial environments
Collaborative, grounded working style and willingness to do unglamorous work well
Willing to travel frequently and work in new locations, typically 3–4 or more trips per month
Benefits
A world-changing problem: Physical AI will reshape entire industries, but it cannot scale without real-world data. Trace is addressing one of the core constraints holding the field back.
Early but real traction: Active pilots with growing demand on both sides of the marketplace.
Experienced, tight-knit team: Ex founders, PhDs, and operators with a track record of building and scaling together.
Real ownership: This is early. Your work will materially shape the product, systems, and direction of the company.
Foundational platform: We are building core infrastructure that enables many future products and use cases as physical AI evolves.
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