Why this role stands out
As the Growth Lead at Mecka.ai, you'll spearhead the expansion of a global contributor network, driving significant impact in the cutting-edge field of embodied AI. This role is ideal for a strategic and data-driven individual eager to build scalable acquisition engines and develop leadership skills within a rapidly growing, reputable company. Apply now to shape the future of AI data infrastructure!
Quick overview
Job description
About Mecka AI
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.
The Role
Mecka's datasets come from a global network of contributors capturing real-world data, and that network needs to grow by an order of magnitude while acquisition still runs market by market. In this role, you'll build one acquisition engine with shared channels, playbooks, and measurement that every market runs, and you'll run it hands-on, using AI to do what used to take a team. You'll report to company leadership and work alongside our country teams across APAC, South America, and North America.
What You'll Be Doing:
Own contributor acquisition end-to-end, from first touch to first approved capture, and deliver on quality, speed, and volume across programs and markets.
Build and scale a channel portfolio across referral, community, field, organic, partnerships, and paid, knowing the cost and conversion of every channel and cutting what doesn't work market by market.
Launch referral and affiliate programs with quality controls built in, and a repeatable partner motion with organizations that already reach contributors.
Set how Mecka shows up to contributors, from messaging and creative to community presence, so growth builds on itself instead of restarting with every program.
Build AI-powered workflows for localized creative, content, and outreach so a small team can cover many markets and languages, shipping experiments on a weekly cadence.
Build retention programs that keep contributors engaged.
Hire key people and set the playbooks, budgets, and standards in-market teams run, working with Operations to forecast needs by program and market.
What You Bring:
6+ years in growth, including owning supply-side acquisition at a two-sided marketplace, gig platform, or data collection business.
Personally built a multi-channel acquisition engine, scaled it in more than one country, and owned its budget, defending cost of acquisition and activation metrics to leadership.
Runs growth work through AI tools and automations today, with repeatable systems rather than one-off experiments, and a clear view of what shouldn't be automated.
Hired key people and led through a matrix with in-market teams you didn't directly manage.
Based in New York or San Francisco, or willing to relocate, and willing to travel regularly to our markets.
Even Better If You Have:
Grew a contributor, annotator, or workforce base at a data collection or AI training data company.
Scaled supply growth across emerging markets, especially APAC, and made a playbook built in one country work in others.
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.
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