Compute Finance and Strategy
Prime Intellect builds the 'Open Superintelligence Stack' — an integrated compute, training, inference, and sandbox platform that lets companies train, deploy, and continuously improve their own AI models and agents. It serves AI startups, 'neolabs', and enterprises (over 6,000 customers, including Ramp and Zapier) that want to own their model optimization loop rather than rely solely on closed frontier labs.
Maintainer signals as of 8/14/2026
Funding history
Investors
Projects
About Prime Intellect
Prime Intellect is a San Francisco-based AI infrastructure company building what it calls the Open Superintelligence Stack: a full-stack platform spanning GPU compute (on-demand and reserved clusters), large-scale reinforcement learning training ('Lab'), an Environments Hub with 2,500+ community RL environments, hosted evaluations, sandboxed code execution, and dedicated/serverless model inference with native LoRA support. The company maintains open-source libraries (verifiers and prime-rl) used to build and train RL environments, and publishes frontier open research such as the INTELLECT and SYNTHETIC model/dataset series. Prime Intellect works with AI startups, enterprises, and 'neolab' customers such as Ramp and Zapier, helping them turn production traces and evaluations into custom-trained, post-trained agent models that outperform closed frontier models on specific workflows at lower cost and latency. The company has raised over $150M in total funding, including a $130M Series A led by Radical Ventures with participation from NVIDIA Ventures, Intel Capital, and Dell Technologies Capital, and reports over $100M in annualized revenue.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the analytical foundation for global compute markets by modeling GPU supply economics, provider decisions, margins, capital allocation, and customer-facing pricing. You will evaluate providers, track market dynamics, conduct diligence, and partner with finance, engineering, sales, product, and leadership.
Requirements
- 4–7+ years in financially rigorous strategic or operational roles
- Experience in investment banking, private equity, growth equity, quantitative strategy, infrastructure investing, project finance, structured credit, strategic finance, or business operations
- Exceptional financial modeling and analytical skills
- Technical curiosity about GPU architectures, networking, cluster performance, and compute economics
- Strong commercial and strategic judgment
- Ability to engage with vendors, partners, and senior provider counterparts
- Ability to work across financial modeling, leadership briefings, and diligence
- High ownership
- Experience using LLMs, automation, and programmatic tools
Responsibilities
- Build financial models for compute supply pricing
- Model supply decisions across contract types, terms, hardware, providers, and geographies
- Own margin architecture by workload, customer, product, and contract
- Model long-term P&L consequences under multiple scenarios
- Partner with leadership on provider, hardware, geographic, and scaling decisions
- Build scenario models and capital allocation frameworks
- Conduct economic and technical diligence with compute providers
- Translate technical performance into commercial recommendations
- Track compute pricing, availability, and provider dynamics
- Develop market positioning analyses
- Partner with strategic finance, engineering, sales, and product
- Build board-ready analyses
Benefits
- Equity
- Flexible work
- Visa sponsorship
- Relocation support
- Professional development budget
- Team off-sites
- Conferences
