About the Role
We'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
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Own customer-facing workflows that require human touch — building trust, clarifying context, and moving things forward.
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Serve as the human-in-the-loop layer across our customer segments, including data suppliers, frontier AI labs, and enterprise buyers.
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Resolve contract, onboarding, and platform blockers by coordinating with the right internal stakeholders.
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Identify recurring customer issues, feedback, and learnings — and turn them into improved processes, platform enhancements, and communications.
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Build lightweight systems and tools that streamline operational workflows and make problem resolution faster and easier over time.
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Manage many concurrent customer threads simultaneously with strong follow-through and attention to detail.
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Jump into customer conversations when escalation or nuanced judgment is needed.
What We're Looking For
Dealbreakers (must-haves):
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Experience owning and managing customer operations systems and processes for customer activation and engagement.
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Proven ability to resolve complex customer issues (e.g., contract, onboarding, platform blockers) by coordinating across internal teams.
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Experience building lightweight tools or systems to streamline operational workflows and problem resolution.
Required:
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Direct customer engagement experience — you know how to build trust, clarify context, and advance stalled issues.
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Analytical mindset: able to synthesize recurring feedback into actionable process and product improvements.
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Comfortable managing multiple concurrent operational tasks or customer issues without dropping threads.
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Demonstrated use of AI tools to enhance personal or team productivity.
Nice to Have:
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Early-stage startup experience; comfort working independently in unstructured, fast-paced environments.
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Experience working with technical customers (e.g., engineers, ML researchers, data teams).
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Familiarity with Reinforcement Learning concepts — you know what environments, evals, reward signals, and benchmarks are.
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Background in consulting, business operations, or implementation roles.
Location
This role has flexible location options:
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San Francisco, CA — on-site (preferred for US-based candidates)
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Singapore — on-site for Southeast Asia-based candidates
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Europe or other regions — fully remote as an independent contractor
Visa sponsorship is available.
Compensation & Benefits
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Salary range: $100,000 – $150,000 USD annually (for US-based, full-time roles)
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Early-stage equity opportunity
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High-impact, high-autonomy role at a company building critical infrastructure for the next generation of AI
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