$115k–$140k a yearAs posted. It may not be what is offered to hires in Nigeria.
Read from the listing itself, not guessed. “Remote” does not always mean any country, so confirm with the recruiter.
About the role
Mecka AI builds data infrastructure for robotics and embodied AI, operating global data capture and labeling workflows. As Partnerships Lead, you own capture supply across your region, from market selection to signing partners and ensuring steady output.
What you'll do
Define market strategy by countries, industries, and operator types to pursue
Build and manage a pipeline of capture partners across the region
Lead end-to-end deal negotiations and set terms, rates, volumes, and exclusivity
Own the regional supply plan including capacity, timing, and cost per hour
Manage partner relationships after signing and drive ramp targets to steady volume
Provide weekly reporting on pipeline, capacity, and partner output
What they're looking for
5 to 8+ years in business development, partnerships, GTM, or supply-side sales
Experience building supply in a region from scratch and hitting targets
Structured deal experience with enterprises, including rates and volume commitments
Regional network and understanding of local contracting and labor practices
Commercial judgment and unit-economics thinking, with awareness of QA impact on margins
AI fluency and ability to use AI tools for outreach, research, and proposals
For applicants in Nigeria
The listing states eligibility worldwide, so Nigeria is included as a potential location
Timezone expectations are not specified; confirm during interview
The listing does not specify contractor versus employee status
Pay currency or range is not stated; confirm proposal terms during interview
Visa or work-authorization notes are not stated; confirm requirements during interview
Summarized by RemoteWork from the original listing. Always confirm details on the employer’s page.
Ready to apply?
Your application goes straight to Mecka, on their own hiring page.
Mecka is the data and deployment layer for physical AI — capturing, structuring, and evaluating real-world activity into datasets robotics and AI teams can train on.
