Job description
ABOUT THE ROLE
We're an early-stage AI infrastructure company building the platform for reinforcement learning environments, post-training datasets, and AI model evaluation. Our customers include data suppliers, frontier AI labs, and enterprise buyers — and we're looking for a Customer Operations Lead to own the human layer that makes those relationships work.
This is a high-judgment, high-autonomy role at the intersection of customer success, operations, and process building. You'll work alongside GTM Engineers as the implementation counterpart — stepping in where automation ends and human trust-building begins. You'll be central to customer activation, problem resolution, and turning recurring learnings into scalable systems.
WHAT YOU'LL DO
- Own the customer-facing work that cannot or should not be automated with AI.
- Serve as the implementation counterpart to GTM Engineers, owning the human-in-the-loop layer across the customer base.
- 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 coordinating with the right internal owners.
- Turn recurring customer issues, feedback, and learnings into better processes, platform improvements, and communications.
- Build lightweight systems that streamline workflows and make resolving problems easier the next time they occur.
- Manage many small but important customer threads simultaneously with strong follow-through.
WHAT WE'RE LOOKING FOR
- Experience in customer operations, business operations, consulting, or similar roles.
- Demonstrated judgment in customer-facing situations — knowing when to be helpful, when to push back, and when to escalate.
- Comfort managing many concurrent threads with high attention to detail and strong follow-through.
- Demonstrated experience using AI tools to improve personal productivity.
- Early-stage startup experience and the ability to work independently in fast-paced, unstructured environments.
- Experience working with technical customers.
Nice to Have
- Familiarity with reinforcement learning concepts — e.g., you know what environments, evals, and benchmarks are.
- A track record of building systems and processes from scratch rather than inheriting them.
COMPENSATION
& BENEFITS
- Salary: $100,000 – $150,000 USD annually
- Visa sponsorship is available for qualifying candidates. LOCATION This role supports multiple location arrangements depending on where you're based:
- U.S.-based candidates: Must be located in or willing to relocate to San Francisco, CA (on-site).
- Southeast Asia-based candidates: Must be located in Singapore (on-site).
- Candidates elsewhere (particularly Europe): May be considered for a fully remote independent contractor arrangement.