2 months ago

Compute Finance and Strategy

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Own the analytical foundation for global compute markets, building financial models to price compute supply, forecast margins, and evaluate provider decisions. You’ll blend infrastructure, finance, and AI systems to guide capital allocation, pricing strategies, and market positioning for frontier AI compute at scale.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key 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, so we always know what's actually profitable and where the leverage is
•Model the long-term P&L consequences of today's supply bets under multiple demand and pricing scenarios
•Engage directly with neoclouds, hyperscalers, and emerging providers on economic and technical diligence

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkRelocationEquityVisa Sponsorship

Key Requirements

•4–7+ years in roles that combine financial rigor with real-world strategic or operational engagement.
•Exceptional modeling and analytical skills — you build the models yourself, and your models reflect how the business actually works
•Genuine technical curiosity; you should be excited to develop fluency in GPU architectures, networking, cluster performance, and what makes compute economically different from another
•Strong commercial and strategic judgment — finance should drive better decisions, not just produce analysis
•AI-native in how you work: you use LLMs, automation, and programmatic tools to move faster

Experience:AIInfrastructureComputeFinanceCloud

Skills:Problem-solvingCommunicationLeadershipCollaborationStrategic thinking

Tech Stack:GPULLMsAutomationNetworkingCluster performanceHW generationsH200GB200GB300

Company Brief

Prime Intellect

Builds a decentralized, open compute and training platform that enables distributed training and collective ownership of AI models, aggregating global GPU resources and offering tools for agentic RL and model evaluation.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn

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Prime Intellect

2 months ago

Compute Finance and Strategy

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key 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, so we always know what's actually profitable and where the leverage is
•Model the long-term P&L consequences of today's supply bets under multiple demand and pricing scenarios
•Engage directly with neoclouds, hyperscalers, and emerging providers on economic and technical diligence

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkRelocationEquityVisa Sponsorship

Key Requirements

•4–7+ years in roles that combine financial rigor with real-world strategic or operational engagement.
•Exceptional modeling and analytical skills — you build the models yourself, and your models reflect how the business actually works
•Genuine technical curiosity; you should be excited to develop fluency in GPU architectures, networking, cluster performance, and what makes compute economically different from another
•Strong commercial and strategic judgment — finance should drive better decisions, not just produce analysis
•AI-native in how you work: you use LLMs, automation, and programmatic tools to move faster

Experience:AIInfrastructureComputeFinanceCloud

Skills:Problem-solvingCommunicationLeadershipCollaborationStrategic thinking

Tech Stack:GPULLMsAutomationNetworkingCluster performanceHW generationsH200GB200GB300

Company Brief

Prime Intellect

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn