Program Lead

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. Both sides get built engagement by engagement. That is this job.

We are hiring a Program 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 problem, with a client waiting, and come back with a plan that holds.

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  Turn an open-ended research need into a program with a scope, a standard, a timeline and agreed economics — then own the number

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  Work directly with frontier labs and robotics teams: turn a research problem into something deliverable, keep sophisticated buyers confident, and own the relationship from first call to delivery

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  Partner with our supply team to build the supply side from nothing if needed: recruit, activate and retain the contributors and partner businesses a program needs, in industries and geographies where none exists

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  Go at whichever blocker is in front of you: some days a spec or a tooling gap, other days a person, a partner or an incentive

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  Act as product manager for the platform team: your field evidence decides what gets built next, and you speak for the contributor and the client in the roadmap

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  Go where the work happens; physical operations are won by whoever showed up

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  Build leverage as you go — agents, automation, playbooks — so the second program costs a fraction of the first and the tenth runs itself

There is no standard one, but a real day might run like this: you start on the programs already live — checking with the team that supply is filming, that yesterday's batches cleared the quality bar, and chasing the sites that have gone quiet. A buyer wants to change the spec mid-program, so you work out what that does to volume, timeline and cost, and get the new version agreed in writing. Then a first call with a lab you have not worked with before: understand what they are trying to train, and be straight about what we can produce and what we cannot.

• 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.