# Compute Finance and Strategy

**Company:** [Prime Intellect](https://hotfix.jobs/companies/prime-intellect)
**Location:** Remote
**Role:** Finance & Accounting
**Salary:** $200k – $300k/yr
**Experience:** 4+ years
**Skills:** Financial Modeling, Compute Economics, Gpu Architectures, Cloud Economics, Capital Allocation, Scenario Modeling, P&L Modeling, Market Intelligence, Provider Diligence, Pricing Strategy, Networking, Cluster Performance, LLMs, Automation, Programmatic Tools
**Posted:** 2026-07-08

> Own the financial and strategic architecture for global compute supply, including pricing, provider diligence, capital allocation, and margin models. The role requires 4+ years of finance or strategy experience, exceptional modeling skills, commercial judgment, and curiosity about AI infrastructure.

## Job Description

## Responsibilities

### Compute Economics
- Build and own financial models for compute supply, including per-cluster economics, contract structures, hardware generations, geographies, and providers.
- Model reserved versus spot tradeoffs, term length, commitment level, hardware generation, provider mix, and geography.
- Own margin architecture by workload, customer, product, and contract.
- Model long-term P&L outcomes under multiple demand and pricing scenarios.

### Strategic Bets and Capital Allocation
- Advise leadership on provider commitments, hardware generations, geographic expansion, and scaling decisions.
- Build financial frameworks for ambiguous strategic questions.
- Own long-range planning, scenario models, and capital allocation across compute, headcount, and product investment.

### Provider Engagement and Diligence
- Engage with neoclouds, hyperscalers, and emerging providers on economic and technical diligence.
- Lead the financial side of supply qualification and commercial negotiations.
- Translate technical performance characteristics into commercial recommendations.
- Build repeatable analytical processes for evaluating new global supply-market entrants.

### Market Intelligence
- Track pricing, availability, and provider dynamics across major markets.
- Develop views of provider credibility, pricing, supply constraints, and upcoming capacity.
- Establish the analytical basis for supply commitments, flexibility, and geographic positioning.

### Cross-functional Partnership
- Partner with Strategic Finance on compute economics and company P&L.
- Partner with Engineering on technical performance characteristics driving cluster economics.
- Partner with Sales and Product on consumption-based and hybrid pricing.
- Build board-ready analyses on supply strategy, capital allocation, and market positioning.

## Requirements

- 4–7+ years in roles combining financial rigor with strategic or operational engagement.
- Relevant backgrounds may include investment banking, private equity, growth equity, quantitative or strategist roles, infrastructure investing, project finance, structured credit, strategic finance, or business operations.
- Experience with infrastructure, cloud, semiconductors, technology, AI infrastructure, or compute-intensive companies is valuable.
- Exceptional financial modeling and analytical skills; able to build models reflecting how the business operates.
- Genuine technical curiosity and willingness to develop fluency in GPU architectures, networking, cluster performance, and compute economics.
- Strong commercial and strategic judgment.
- Comfortable engaging directly with vendors, partners, and senior provider-company counterparts.
- Able to build rigorous models, brief leadership, and run diligence with senior stakeholders.
- High ownership and initiative.
- AI-native working style using LLMs, automation, and programmatic tools.

## Nice-to-haves

- Experience modeling data center, colocation, cloud, or power and energy economics.
- Background covering AI infrastructure, cloud providers, semiconductors, or compute marketplaces.
- Experience with cluster benchmarking, training or inference workload economics, or compute marketplaces.

## Compensation and Benefits

- Cash compensation range: **$200,000–$300,000**, plus meaningful equity.
- Flexible work arrangement, remote or in San Francisco.
- Visa sponsorship and relocation support.
- Professional development budget.
- Team off-sites.

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