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.
We're hiring a BDR to open doors with established businesses that could become Mecka data partners. Reporting to the Data Partnerships Lead, you will research accounts, engage decision-makers, and turn initial interest into qualified opportunities for the Lead or an Account Executive. This is an outbound business-development / BDR role focused on prospecting, initial qualification, and useful handoffs
Build accurate company and contact lists in priority segments, identifying why each business's data may be relevant and who can evaluate a partnership.
Generate conversations through personalized email, phone, LinkedIn, and other approved channels, explaining how businesses can unlock value from their existing data.
Qualify business fit, the plausible data opportunity, the relevant contact, and willingness to explore a partnership; flag open questions for Legal without promising terms.
Create qualified opportunities accepted by the Lead or AE, with substantive discovery meetings and clear notes on stakeholders, fit, concerns, and next steps.
Keep outreach and opportunities moving through consistent follow-up, account re-engagement, and accurate CRM records that let the closer continue without starting over.
Improve targeting and messaging by using handoff feedback, downstream opportunity quality, response patterns, and recurring objections to refine the outreach playbook.
Evidence of effective prospecting, business development, lead generation, or comparable customer-facing work.
Strong account research and clear written and verbal communication, including focused outreach and thoughtful initial conversations.
Persistence, organization, and reliable follow-through; able to handle rejection and adapt without constant supervision.
Coachability and a willingness to use feedback and work toward measurable outcomes.
Based in New York or San Francisco, or willing to relocate.
Experience with CRM, account research, and outbound prospecting tools.
Experience reaching senior operators or technical decision-makers, or helping build an early-stage outreach process.
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.
Skills Required
- Evidence of effective prospecting, business development, lead generation, or comparable customer-facing work
- Strong account research and clear written and verbal communication
- Persistence, organization, and reliable follow-through
- Ability to handle rejection, adapt, and work without constant supervision
- Coachability and willingness to use feedback while working toward measurable outcomes
- Based in New York or willing to relocate
- Experience with CRM, account research, and outbound prospecting tools
- Experience reaching senior operators or technical decision-makers
- Experience helping build an early-stage outreach process
What We Do
Mecka AI is a data and infrastructure company that provides high-quality human movement data to accelerate the development of autonomous systems for humanoid robotics. It serves as the data and deployment layer for physical AI, capturing, structuring, and evaluating real-world activity to create labeled datasets that enable robots to learn and deploy reliably in commercial settings.








