San Francisco, CA (or Singapore) · On-site · Full-time Compensation: $120,000–$150,000 + competitive equity

About the Company

Our client builds the infrastructure to create reinforcement-learning (RL) training data and evaluations for frontier AI agents, plus a marketplace to sell them to frontier labs. The platform is already used by frontier labs, Fortune 500 companies, and startups. It's a small, high-caliber team that is well-funded and growing revenue fast.

Founded 2024 · ~15 people (Series A) · Industry: AI Tools / RL infrastructure

The Role

Own the customer-facing work that can't or shouldn't be automated — the human-in-the-loop layer across both sides of the marketplace: data suppliers (vendors) and frontier-lab / enterprise buyers. The work leans toward vendors (there are far more vendors than buyers) and toward education: many vendors are non-technical (say, a small accounting shop new to AI), so much of the job is patiently explaining what the platform does and how bidding and the project process work. It's deliberately not a reactive support seat.

Requirements

• A customer / business-operations or consulting background
• Sound judgment in customer-facing situations
• Juggles many threads with high follow-through
• Uses AI tools in daily work
• On-site in the SF Bay Area or Singapore

Nice to Haves

• A sharp generalist with strong judgment about when to help, push back, or escalate
• A warm, patient communicator who can educate non-technical vendors without condescension
• Naturally juggles many small threads and follows through on all of them
• Already uses AI tools to work faster and turns recurring issues into process or automation improvements
• A consulting-plus-startup background looking to break into GTM, able to clearly explain what the product does

Why Join

• Frontier-adjacent work: sit at the human-in-the-loop layer between RL-data vendors and the frontier labs and enterprises buying from them
• An exceptional team: Olympiad medalists, serial AI-startup founders, and published ML researchers; eight figures raised and high revenue growth, scaling profitably
• Real ownership, not a support seat: turn recurring problems into processes, platform improvements, and lightweight systems — with competitive equity and full benefits (100% covered medical/dental/vision, meals in office, gym, 401k, unlimited AI tools)

Details

• Location — San Francisco, CA (or Singapore)
• Work policy — On-site
• Compensation — $120,000–$150,000 + competitive equity
• Visa sponsorship — Not available; must already hold work authorization for the US (or Singapore)
• Employment type — Full-time