About Delivery Ops
Delivery Ops turns raw captures into datasets customers can train on. We pull and filter episodes against each customer's spec, run every ship gate (quality, privacy, exclusivity, labels), package and ship the data, and report on what was delivered. As volumes grow into hundreds of thousands of hours per program, the team also owns showing the field what this data looks like and why it matters.
About the role
The people who train on our data are a small, connected community of robotics researchers and engineers. You will build Mecka's presence in that community and make delivered data the center of it: events, challenges, and direct relationships with the people using our datasets, with what they tell us feeding straight back into how we deliver.
What you'll do
Events
Plan and run Mecka's events end to end: lab meetups, dataset workshops, hackathons, and our presence at major robotics and vision conferences.
Dataset challenges
Run challenges and benchmarks built on our public sample data, with the research and delivery teams.
Community
Build and moderate an active community of researchers and engineers who use our data.
User feedback
Run office hours and feedback sessions with data users and route what you hear into delivery and product priorities.
Measurement
Track what each event and community program produces (relationships, sample requests, pipeline) and double down on what works.
What you bring
• 3+ years in events, community, or developer relations for a technical audience.
• A record of running events end to end: venue, budget, speakers, logistics, and follow-up.
• Comfortable talking with researchers and engineers; you learn the technical basics fast.
• Organized and independent; you run a calendar of programs without much oversight.
Even better if you have
• Existing relationships in the robotics, ML, or computer vision research community.
• Experience running hackathons, benchmarks, or competitions.
If you don't check every box above but believe you can do the job, we encourage you to apply - we're looking for capability and trajectory, not a perfect checklist match.
