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Customer Operations Lead

$120k - $150k

David Joseph & Company

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 escalation A warm, patient communicator who can educate non-technical vendors without condescensionNaturally 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 #J-18808-Ljbffr

Vacancy posted 2 days ago
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