Customer Operations Lead

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

Required:

• 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.