--- title: 'Supply Lead at Reka' canonical: 'https://feeny.ai/job/supply-lead-reka-united-states-t9hgsxn43wxr' type: 'job' last_seen: '2026-09-16' --- # Supply Lead at Reka - **Company:** Reka - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-14 - **Last confirmed live:** 2026-09-16 - **Apply:** https://jobs.ashbyhq.com/reka/eb92705f-eef6-48a9-8b92-7fff63139f65 ## Job description 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. ## About Reka ## Company Overview - **One-liner**: Reka is an AI research and product company building foundational multimodal models and infrastructure for understanding and interacting with the physical world. - **Entity Type**: Private (Series B) - **Headquarters**: Sunnyvale, California, United States - **Founded**: 2022 - **Founders**: Dani Yogatama (CEO), Mikel Artetxe, Qi Liu ## Core Business - **Primary industry/industries**: Artificial Intelligence, Foundation Models, Multimodal AI, Enterprise AI Infrastructure - **Target customers**: B2B — enterprises, developers, and organizations needing multimodal AI models (vision, video, language) for deployment at scale. - **Mission or purpose statement**: To advance science and build generative AI models for the benefit of humanity, organizations, and enterprises; specifically, to build models and infrastructure for the physical AI era. ## Products & Services - **Reka Core, Flash, Edge**: A family of multimodal language models available in three sizes, supporting comprehensive multimodal input (text, images, video, audio), with leading reasoning and coding capabilities. Deployable on-premise, via API, or in the cloud. - **Infer (Inference Infrastructure)**: An inference engine and API for multimodal AI, built for speed, scale, and enterprise reliability. - **Video Processing Infrastructure**: Scalable infrastructure to tag, reason over, search, and clip large volumes of video data, available via API, MCP, or the Reka app. - **Claru (Data Infrastructure)**: Builds training data for frontier AI, including egocentric video, robotics trajectories, world-model footage, and expert human judgment at scale. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding: **$170M** across two rounds (Series A: $60M in June 2023; Series B: $110M in August 2025) - **Notable Investors/Partners**: DST Global, Radical Ventures, Snowflake (strategic investor), NVIDIA (led Series B) - **Growth Signals**: Headcount grew ~10.7% YoY to 44 employees; actively hiring for 6 technical roles (ML, Robotics, GPU Performance, Applied AI); expanding globally with presence in 9 countries. ## Competitive Advantages - **Multimodal-native models**: Built from the ground up to handle text, images, video, and audio — not stitched together from separate systems. - **Flexible deployment**: Models can run on-premise, in the cloud, or at the edge (e.g., Reka Edge), appealing to security-conscious enterprises. - **World-model focus**: Unique emphasis on physical-world understanding (robotics trajectories, egocentric video, video processing) positions them for the next wave of embodied AI. - **Founding team pedigree**: Core team from DeepMind, Google Brain, and FAIR, giving deep research credibility. ## Strategic Focus - **Physical AI infrastructure**: Building the data, inference, and model stack for robotics, autonomous systems, and world-model applications. - **Enterprise adoption**: Prioritizing on-premise deployment, security, and customization for large organizations. - **Global, remote-first scaling**: Hiring top talent worldwide, with a focus on engineering and research roles. ## Why Work Here - **Remote-first culture**: Fully remote flexibility with a "work from anywhere" policy and budget to personalize your home workspace. - **Strong benefits**: Full health/dental/vision, mental health support, 25 days PTO, family support, stock options, and "Reka Appreciation Days" (extra company-wide days off). - **Global team**: 17 nationalities represented; regular international offsites (Japan, Bali, Las Vegas, etc.) and in-person hackathons for creative collaboration. - **Engineering culture**: Described as a team of "curious builders, researchers, and engineers" who value open communication, speed, ownership, and excellence. Titles matter less than curiosity and shared ambition. - **High-impact roles**: Active openings in ML, robotics, GPU performance, and applied AI — working on frontier research with real-world deployment. ## Sources 1. [reka.ai](https://reka.ai/) 2. [reka.ai/careers](https://reka.ai/careers) 3. [reka.ai/teams](https://reka.ai/teams) 4. [LinkedIn - Reka AI](https://www.linkedin.com/company/reka-ai) 5. [reka.ai - Series A Announcement](https://reka.ai/news/announcing-our-60m-funding-to-build-generative-models-and-advance-ai-research) 6. 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