Data Operations Lead

Summary

Relari is a research and engineering startup developing methods for robots to learn dexterous skills from human biomechanics. The Data Operations Lead will own end-to-end human-data collection operations, including translating research needs into procedures, coordinating external vendors, managing logistics, and ensuring data quality and delivery. The role also builds operational dashboards and improves processes across research and engineering teams.

Responsibilities

• Translate research requests into clear collection specifications, operating procedures, and acceptance criteria
• Manage the day-to-day relationship with external collection vendors and close the loop on quality and throughput
• Coordinate EMG kits, cameras, consumables, shipping, inventory, and other collection supply-chain needs
• Own data-upload completion, sampling, QA, rejection, re-collection, provenance, and delivery into research storage
• Build simple dashboards and operating rhythms around throughput, cost, failure modes, and dataset readiness
• Partner with biomechanics, hardware, and robot-learning researchers as protocols and priorities evolve

Skills

• Experience: 3+ years
• Visa: Will sponsor
• Exceptional operational judgment, attention to detail, and follow-through across multiple moving workstreams
• Experience managing vendors, distributed operations, research operations, data production, logistics, or another high-reliability process
• Strong written communication and the ability to turn technical requirements into procedures other people can follow consistently
• Comfort working across time zones and traveling to collection or manufacturing partners when useful
• Comfort working with structured data, spreadsheets, dashboards, storage systems, and unfamiliar technical tools
• A systems mindset: you look for recurring causes and improve the process rather than repeatedly fixing individual mistakes

Qualifications

Must Haves

• Experience: 3+ years
• Visa: Will sponsor
• Exceptional operational judgment, attention to detail, and follow-through across multiple moving workstreams
• Experience managing vendors, distributed operations, research operations, data production, logistics, or another high-reliability process
• Strong written communication and the ability to turn technical requirements into procedures other people can follow consistently
• Comfort working across time zones and traveling to collection or manufacturing partners when useful
• Comfort working with structured data, spreadsheets, dashboards, storage systems, and unfamiliar technical tools
• A systems mindset: you look for recurring causes and improve the process rather than repeatedly fixing individual mistakes

Benefits

• Visa: Will sponsor
• Visa sponsorship
• Equity range of 0.25% - 1.00%
• Full-time hybrid role