Compute Finance and Strategy
Prime Intellect provides an open superintelligence stack for training, evaluating, deploying, and continuously improving AI agents and models. Its platform combines RL environments, hosted training, inference, GPU compute, secure sandboxes, and open-source research tooling for researchers, startups, and enterprises.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Prime Intellect, Inc.
Prime Intellect operates an integrated AI infrastructure platform spanning Lab, hosted reinforcement-learning training, evaluations, environments, inference, secure sandboxes, and on-demand or reserved GPU compute. It also develops open-source tools including Verifiers, prime-rl, and Prime Agent, supporting workflows from environment creation and model evaluation through post-training and production deployment. The company serves researchers, startups, enterprises, and teams building agentic AI systems, with customer examples including Ramp and Zapier.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own the analytical foundation for global compute markets by modeling GPU supply economics, provider decisions, margins, capital allocation, and customer-facing pricing. 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
