Customer Operations Lead

About the role

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.