Customer Operations Lead

David Joseph & Company · San Francisco, CA, US

Full-time$120,000 – $150,000Published Jul 20, 2026

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About the role

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

About the Company

We're an early-stage, venture-backed AI infrastructure company building the tooling to create reinforcement-learning training data and evaluations for frontier AI agents, along with a marketplace connecting data suppliers to the labs and enterprises that need them. Our platform is already used by frontier AI labs, Fortune 500 companies, and startups. We're a small, technical team — including International Olympiad medalists and published AI researchers — growing quickly.

Founded 2024 · ~15 people · Industry: AI Tools

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 our marketplace: data suppliers (vendors) and enterprise / lab buyers.

The work leans toward vendors (there are far more vendors than buyers) and toward education: many vendors are non-technical, so much of the job is patiently explaining what we do and how the platform, bidding, and project process work. This is deliberately not a customer-service role and not a closing role, and no prior reinforcement-learning knowledge is required. It's also not purely reactive — you're expected to turn recurring issues into better processes and lightweight systems over time. You may also run some demos.

What you'll be doing

  • Own the human-in-the-loop layer across vendors and buyers (labs and enterprises)
  • Jump into customer conversations when a human touch is needed to build trust, clarify context, or move things forward
  • Resolve contract, onboarding, and platform blockers by working with the right internal owners
  • Turn recurring customer issues, feedback, and learnings into better processes, platform, and communications
  • Build lightweight systems that streamline workflows or make problems easier to resolve next time

Tech stack: N/A — ops/GTM role; heavy daily use of AI tools.

Requirements

  • Customer / business ops or consulting background
  • Sound judgement in customer-facing situations
  • Juggles many threads, high follow-through
  • Uses AI tools in daily work
  • On-site SF Bay Area or Singapore

Green Flags

  • Sharp generalist with strong judgement about when to help, push back, or escalate
  • 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 proactively turns recurring issues into process or automation improvements
  • Consulting-plus-startup background looking to break into GTM, and can clearly explain what the company does

Red Flags

  • Reads as a traditional call-center / pure customer-service profile
  • Needs heavy structure and explicit instructions; cannot operate as a generalist
  • Wants a closing/quota GTM role, or expects to be a technical GTM engineer
  • Cannot articulate what the company does or shows no real interest in the space
  • Unable to be on-site in the SF Bay Area or Singapore

Why Join

  • Sit at the human-in-the-loop layer between data vendors and the frontier labs and enterprises buying from them
  • Join a small, exceptional, technical team scaling quickly with strong revenue growth
  • Real ownership from day one, competitive equity, and full benefits (100% covered medical/dental/vision, meals in office, gym membership, 401k, unlimited access to AI tools)

Details

  • Location — San Francisco, CA (or Singapore)
  • Work policy — On-site
  • Compensation — $120,000–$150,000 + competitive equity
  • Experience — 0–5 years
  • Visa sponsorship — Not available (must already be authorized to work in the US or Singapore)
  • Employment type — Full-time

Description sourced from the public Indeed listing — this role isn't indexed from the company's career page yet.

Skills

  • Jira
  • Confluence
  • Agile
  • Scrum
  • Lead Generation
  • Negotiation
  • Pipeline Management

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