About the RoleWe're a fast-growing, early-stage AI/ML infrastructure company building the platform for creating, managing, and scaling Reinforcement Learning (RL) environments - used by frontier AI labs, data suppliers, and enterprise buyers to train and evaluate cutting-edge models.
We're looking for a
Customer Operations Lead to own the human layer of our customer experience - the high-judgment, relationship-driven work that AI shouldn't (or can't) handle. You'll serve as the implementation counterpart to our GTM Engineers, driving successful customer activation and engagement across a technically sophisticated customer base.
What You'll Do- Own customer-facing workflows that require human touch - building trust, clarifying context, and moving things forward.
- Serve as the human-in-the-loop layer across our customer segments, including data suppliers, frontier AI labs, and enterprise buyers.
- Resolve contract, onboarding, and platform blockers by coordinating with the right internal stakeholders.
- Identify recurring customer issues, feedback, and learnings - and turn them into improved processes, platform enhancements, and communications.
- Build lightweight systems and tools that streamline operational workflows and make problem resolution faster and easier over time.
- Manage many concurrent customer threads simultaneously with strong follow-through and attention to detail.
- Jump into customer conversations when escalation or nuanced judgment is needed.
What We're Looking ForDealbreakers (must-haves):- Experience owning and managing customer operations systems and processes for customer activation and engagement.
- Proven ability to resolve complex customer issues (e.g., contract, onboarding, platform blockers) by coordinating across internal teams.
- Experience building lightweight tools or systems to streamline operational workflows and problem resolution.
Required:- Direct customer engagement experience - you know how to build trust, clarify context, and advance stalled issues.
- Analytical mindset: able to synthesize recurring feedback into actionable process and product improvements.
- Comfortable managing multiple concurrent operational tasks or customer issues without dropping threads.
- Demonstrated use of AI tools to enhance personal or team productivity.
Nice to Have:- Early-stage startup experience; comfort working independently in unstructured, fast-paced environments.
- Experience working with technical customers (e.g., engineers, ML researchers, data teams).
- Familiarity with Reinforcement Learning concepts - you know what environments, evals, reward signals, and benchmarks are.
- Background in consulting, business operations, or implementation roles.
LocationThis role has flexible location options:
- San Francisco, CA - on-site (preferred for US-based candidates)
- Singapore - on-site for Southeast Asia-based candidates
- Europe or other regions - fully remote as an independent contractor
Visa sponsorship is available.
Compensation & Benefits- Salary range: $100,000 - $150,000 USD annually (for US-based, full-time roles)
- Early-stage equity opportunity
- High-impact, high-autonomy role at a company building critical infrastructure for the next generation of AI
