Compute Markets Lead (AI)

TL;DR

Compute Markets Lead (AI): Developing the analytical and financial foundation for global compute supply and pricing with an accent on GPU economics, provider diligence, and capital allocation. Focus on building rigorous financial models to optimize compute procurement and shaping the strategic direction of open superintelligence infrastructure.

Location: Remote or San Francisco (Visa sponsorship and relocation support available)

Salary: $200,000–$300,000 + meaningful equity

Company

hirify.global is building the open superintelligence stack, aggregating global compute into a single control plane to enable frontier-scale reinforcement learning.

What you will do

• Build and own financial models to price compute supply, including per-cluster economics and hardware generation comparisons.
• Model long-term P&L consequences and margin architecture by workload, customer, and product.
• Partner with leadership on strategic capital allocation, provider commitments, and geographic scaling.
• Execute financial and technical diligence on neoclouds, hyperscalers, and emerging compute providers.
• Track global market dynamics to determine pricing, availability, and competitive positioning.
• Collaborate cross-functionally with Engineering, Sales, and Product teams on pricing strategies for consumption-based products.

Requirements

• 4–7+ years of experience in investment banking, private equity, hedge funds, or strategic finance/BizOps.
• Exceptional financial modeling skills with the ability to translate business operations into rigorous models.
• Strong commercial and strategic judgment to drive high-stakes business decisions.
• Ability to operate across registers, from detailed modeling to executive-level briefing.
• High ownership and an AI-native approach to work using LLMs and automation tools.
• Genuine technical curiosity regarding GPU architectures, networking, and cluster performance.

Nice to have

• Direct experience modeling datacenter, colocation, cloud, or energy economics.
• Background covering AI infrastructure, semiconductors, or compute marketplaces.
• Hands-on experience with cluster benchmarking or training/inference workload economics.

Culture & Benefits

• Competitive cash compensation combined with significant equity.
• Flexible work arrangement (Remote or San Francisco).
• Visa sponsorship and relocation support for eligible candidates.
• Dedicated professional development budget.
• Regular team off-sites and attendance at industry conferences.