Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Supply Lead
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- Remote from
- USA
- Salary
- Undisclosed
- Department
- Product & Operations
- Employment
- Full Time
- Experience
- Senior
- Published
- Apply before
- 26 Nov 2026
- Listing views
- 52
- Application actions
- 3
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The role, at a glance.
Supply Lead will build and operate the supply side of Claru’s training-data marketplace, recruiting partner businesses and contributors across operational environments. The role owns market expansion, supply diversification, geographic rate cards, capacity forecasting, contributor onboarding, retention, and payment issue resolution. It is a highly hands-on early-stage operating position requiring direct partner sales, quantitative unit-economics judgment, and AI-enabled process automation. The successful candidate will work closely with program and platform teams to make data capture capacity scalable and increasingly self-serve.
Role DNA
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Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would explain the market-selection criteria, the initial supply acquisition approach, the activation metrics I tracked, and how I iterated based on cost, quality, and retention. I would quantify the resulting active supply, unit economics, and time to reliable capacity.
I would model the required approved-unit volume, capture hours per contributor, expected approval and attrition rates, onboarding lead time, local partner availability, and operational constraints. I would provide a capacity range with assumptions, risks, and a contingency plan rather than an unsupported single number.
I would combine local contributor and partner costs, payment fees, expected quality rework, onboarding costs, utilization, and target gross margin. I would refresh the model using actual project performance and segment rates by environment complexity, volume, and service requirements.
I would describe mapping the manual workflow, identifying repeatable decisions, implementing automation with clear exception handling, and measuring cycle-time, error-rate, and cost improvements. I would also explain how I monitored quality so automation did not create hidden operational debt.
I would first identify the activation blocker through direct outreach and workflow data, such as unclear setup steps, insufficient incentive, supervisor buy-in, or technical friction. I would resolve the immediate obstacle, set a specific first-capture milestone, and feed the learning into onboarding improvements for future partners.
About this role.
Claru (a Reka business line) · San Francisco or remote · Full-time
Text has run out. The physical world — where skill lives — has never been recorded in a form a model can learn from. Claru is building that layer.
We sell data to frontier labs and robotics companies: zero to seven figures of ARR in under six months, with a team of five. It is a two-sided marketplace: labs arrive with a research problem and a budget, not a specification; contributors and partner businesses capture the work they already do, paid per approved unit. This job is the supply side.
We are hiring a Supply Lead and are looking for operators who are AI-native: more time with agents than with people, automation before hiring, systems that scale rather than teams that grow. That is how a team this small outruns much bigger companies. You need to be someone who can be dropped into an unfamiliar market and come back with capacity that is real.
What you’ll do
Build a portfolio of partner businesses — whose staff capture the work they already do on shift — across the environments buyers want: event venues, retail back-of-house, construction, agriculture, hotels, warehousing. Each is won in a real conversation
Grow the contributor base alongside it and open new geographies, keeping supply owned and multi-channel so no single partner or geography is a dependency.
Own the geo rate card — what an approved unit costs by market and project type — so engagements are priced and staffed against something defensible
Own capacity forecasting — whether we can deliver a given volume in a given environment in a given number of weeks — which a Program Lead commits against.
Own contributor experience and retention: onboarding, payments landing on time, support, and why people stop.
Partner with the platform team on the tooling that makes supply self-serve
A typical day
There is no standard one, but a real day might run like this: you start on the partner businesses already live — chasing the ones gone quiet, calling the two that signed last month and have not filmed. Contributor payments in one market did not land, so you find where it stopped and clear it. A Program Lead needs to know whether we can cover four weeks of warehouse capture in a new country, and you give them a number you would stand behind. Then a first conversation with a food manufacturer about putting their team on shift and collecting data.
What we’re looking for
Early-stage marketplace operating experience — required. You have got one side of a flywheel turning from a standing start, in a new territory or a new vertical — recruitment, pricing, retention and economics. Every new market here is that problem again
AI-native — required. You spend more time with agents than with people, you automate a process before you staff it, and your answer to more volume is a better system rather than more headcount
You have operated, not only advised. Former founders, high growth early stage startup hires, consulting, or business operations background is a strong plus and exactly the rigour we want
You close business yourself: partner businesses are won in conversation
Numerate — you build the model, find where the cost per unit breaks, and argue for the change
Credible with a company owner and with a shift supervisor alike
Bonus: exposure to AI labs or training data pipelines
Reka’s Mission
Claru is a part of Reka (VC backed by NVIDIA). Reka’s mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Reka was founded by researchers from Google DeepMind and FAIR, and ships Reka Vision, launched in July 2026, and Reka Edge, a 7B vision-language model. Reka’s leadership includes the team behind Moonvalley’s Marey, the first video model trained entirely on licensed data. Claru is Reka’s data business, supplying the training data behind physical AI, embodied AI and world models.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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