Events & Community Lead

Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

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.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.