Revenue Operations Lead, AI Infrastructure

🇺🇸 San Francisco, California
$2K - $3K Annual
Posted 1 month ago
Expires June 23, 2026

REVENUE OPERATIONS LEAD, AI INFRASTRUCTURE

Location: San Francisco

Employment Type: Full time

Department: Operations

BUILDING OPEN SUPERINTELLIGENCE INFRASTRUCTURE

Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full RL post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.

We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.

YOUR ROLE

You will own revenue operations at Prime Intellect — the systems, processes, and customer coordination that turn complex, usage-based AI deployments into accurate billing, predictable forecasting, and durable customer relationships.

This is not a traditional RevOps role. Our product is GPU compute and RL training infrastructure. You need to be as comfortable reading Grafana dashboards and interpreting cluster utilization metrics as you are reconciling invoices and building pipeline reports. You will work directly with customers on billing questions, usage transparency, and operational issues — and you'll build the internal systems that make all of this scale.

You'll be the connective tissue between Sales, Engineering, Finance, and customers. If a customer's training run hits a capacity issue at 2am and it affects their bill, you're the person who understands both the technical context and the commercial implications.

RESPONSIBILITIES

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