Revenue Operations
Head of Revenue Operations
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
Design and own the operating system for revenue at Prime Intellect. This role is about architecting the systems that turn complex, usage-based, frontier AI deployments into predictable, durable revenue.
You will build the infrastructure that connects Sales, Growth, Finance, and Customer teams into one coherent revenue engine. That includes pipeline architecture, forecasting, pricing workflows, invoicing systems, and the post-sales expansion motion that drives NRR.
Our customers run high-stakes training and deployment workloads. Responsiveness, billing accuracy, and tight customer coordination matter as much as new logos. You will design the systems that make us operationally excellent - from first touch to expansion - and ensure that customer relationships scale without breaking.
This is a foundational role for someone who wants to architect how Prime Intellect converts technical adoption into long-term revenue at scale.
Responsibilities
Revenue System Architecture
Own the full GTM systems layer: CRM, marketing automation, product analytics, billing, invoicing, and data warehouse integrations.
Design the data model that connects pipeline, contracts, compute usage, post-training workloads, and revenue recognition.
Create a single source of truth for revenue and customer data across tools and teams.
Evaluate and evolve the GTM tech stack as we scale.
Forecasting & Deal Infrastructure
Build accurate forecasting models that incorporate usage-based and hybrid pricing.
Design compensation frameworks, territory models, and performance tracking systems.
Operate deal desk for complex deployments — pricing structure, non-standard terms, approvals.
Translate compute consumption and post-training expansion signals into forward-looking revenue forecasts.
Post-Sales & Growth Systems
Build systems that support invoicing accuracy, usage transparency, and customer responsiveness.
Connect product usage and compute telemetry directly to expansion workflows.
Define SLAs and structured handoffs between Sales, Solutions, TAM, and Finance.
Systematize renewal, expansion, and cross-sell motions to drive NRR and durable contracts.
Ensure operational excellence in billing cycles, contract amendments, and scaling enterprise accounts.
Operational Rigor & Scale
Standardize reporting: pipeline health, cohort performance, GRR/NRR, compute GMV, margin by product.
Automate repetitive workflows so customer-facing teams can focus on execution, not admin.
Build documentation and playbooks so revenue operations scales cleanly as the team grows.
Partner with Finance on revenue recognition, board reporting inputs, and long-term planning.
What We’re Looking For
5+ years in Revenue Operations, Sales Operations, or Growth Operations at B2B SaaS or infrastructure companies.Strong analytical ability (SQL / BI tools / usage-based modeling / forecasting).
Experience operating in usage-based or hybrid pricing environments.
Comfort working across Sales, Finance, and Engineering.
Proven track record building systems that scale through rapid revenue growth.
High ownership mentality — you see gaps and design the fix.
Detail-oriented, but systems-minded.
Comfortable in high-ambiguity environments where the right answer often has to be designed from scratch.
Bonus:
Experience with usage-based or consumption-based pricing and billing.
Familiarity with compute marketplaces, cloud billing, or infrastructure cost modeling.
Background working with product analytics and connecting product signals to GTM actions.
Early-stage experience where you were the first RevOps hire standing up the function.
What We Offer
Competitive Compensation + equity incentives
Flexible Work (remote or San Francisco)
Visa Sponsorship and relocation support
Professional Development budget
Team off-sites and conference attendance
Opportunity to shape decentralized AI at Prime Intellect