Compute Finance and Strategy

Compute is the foundational input of the AI era. The companies, models, and capabilities that define the next decade will be shaped by who has access to compute, on what terms, at what economics, and how it gets allocated across the systems that get built on top of it. The financial and operational architecture for an asset class of this consequence is still being built, and the playbooks for navigating it don't yet exist. The people who write them will define how the AI infrastructure industry develops over the next decade.

Responsibilities

Build and own the financial models that price our compute supply: per-cluster economics, contract structures, hardware generation comparisons, geographic and provider differentials; Model the economics of every meaningful supply decision — reserved vs. spot tradeoffs, term length, commitment level, hardware generation, provider mix, geography; Own margin architecture: margin by workload, customer, product, and contract; Model the long-term P&L consequences of today's supply bets under multiple demand and pricing scenarios; Partner with leadership on the biggest decisions the company makes: which providers to commit to, which hardware generations, what geographies to lean into, how aggressively to scale; Build the financial frameworks that turn ambiguous strategic questions into decisions we can make with conviction; Own the long-range plan, scenario models, and capital allocation framework across compute, headcount, and product investment; Engage directly with neoclouds, hyperscalers, and emerging providers on economic and technical diligence; Run the financial side of supply qualification — what we accept, what we reject, what we negotiate harder on; Translate technical performance characteristics into commercial recommendations; Build the repeatable analytical process for evaluating new entrants to the global supply market; Track pricing, availability, and provider dynamics continuously across every major market; Build Prime Intellect's view of the global compute market; Develop the analytical basis for our market positioning; Partner with Strategic Finance on how compute economics flow through to the company P&L; Partner with Engineering on the technical performance characteristics that drive cluster economics; Partner with Sales and Product on pricing strategy for consumption-based and hybrid products; Build board-ready analyses on supply strategy, capital allocation, and market positioning

Requirements

4–7+ years in roles that combine financial rigor with real-world strategic or operational engagement; Investment banking, private equity, or growth equity with exposure to infrastructure, cloud, semiconductors, or technology; Quantitative or strategist roles at hedge funds, commodities desks, or trading firms; Infrastructure investing, project finance, or structured credit; Strategic finance or BizOps at a high-growth cloud, AI infrastructure, or compute-intensive company; Exceptional modeling and analytical skills; Genuine technical curiosity; Strong commercial and strategic judgment; Comfortable engaging directly with vendors, partners, and senior counterparts at provider companies; Ability to operate across registers; High ownership; AI-native in how you work

Nice to have

Direct experience modeling datacenter, colocation, cloud, or power/energy economics; Background covering AI infrastructure, cloud providers, semiconductors, or compute marketplaces from the banking, investing, or trading side; Hands-on experience with cluster benchmarking, training/inference workload economics, or compute marketplaces

Benefits

Meaningful equity; Flexible work (remote or San Francisco); Visa sponsorship and relocation support; Professional development budget; Team off-sites and conferences; A front-row seat to building the infrastructure layer for open AI