Job Description
Job Description
San Francisco, CA · On-site · Full-time Compensation: $150,000–$250,000 + competitive equity
About the Company
Our client is the only AI research lab exclusively focused on video data. Video already accounts for ~80% of internet traffic and has become the dominant medium for creativity, communication, gaming, AR/VR, and robotics — and truly modeling it depends on high-quality training data, which is what the client builds. It combines exabyte-scale video infrastructure, novel video-understanding techniques, and dozens of diverse data sources to produce datasets that push the frontier of video modeling, earning the trust of frontier AI labs, Fortune 100s, and fast-growing generative-AI startups. It did multiple millions in revenue last quarter alone with a team of ~15.
Founded 2022 · ~15 people · Industry: AI Tools
The Role
The client is hiring a Research & Product Lead to be a high-leverage generalist operator across the company — combining deep technical fluency with strong relationship skills to manage its most important customer accounts, drive cross-functional execution, and contribute wherever the company needs leverage. It sits at the intersection of product, applied research, customer engagement, and operations.
Requirements
- 1–2 years of experience with a BS in CS or equivalent
- ML/AI workflow fluency, especially with data pipelines
- Peer-level technical depth with frontier-lab researchers
- High curiosity, high EQ, and strong communication
- Two tracks: a senior track (AI labs / human data) and a generalist track (consulting/banking/APM + an engineering degree)
Nice to Haves
- Existing trusted relationships at frontier AI labs or AI model companies (the highest-signal background for the senior track)
- A background at a human-data company (e.g., Scale, Surge, Sapien, Mercor, Invisible, Toloka, Snorkel, Defined.ai)
- For the junior track: 1–2 years out of consulting (MBB or top-tier), banking, or an APM role at an AI company, paired with an engineering degree
- Comfortable debugging a data-pipeline question and navigating a commercial-expansion conversation in the same hour
- Prior early-stage startup experience, especially as an early hire who saw a customer-facing function built from zero
Why Join
- A frontier customer base: work directly with the most technically demanding organizations in the world
- Genuine generalist scope: a role spanning product, applied research, customer engagement, and operations
- Early and proven: a ~15-person team already doing multiple millions in quarterly revenue, scaling fast
Details
- Location — San Francisco, CA
- Work policy — On-site
- Compensation — $150,000–$250,000 + competitive equity
- Visa sponsorship — Not available
- Employment type — Full-time