Compute Trader

TL;DR

Compute Trader (AI Infrastructure): Match supply and demand for compute resources on a platform connecting AI labs with global providers with an accent on sourcing capacity, negotiating costs, and maximizing utilization. Focus on developing proactive strategies informed by market intelligence, onboarding new suppliers, and optimizing the capacity funnel in a dynamic GPU market.

Location: North America Remote / San Francisco

Company

AI infrastructure platform founded by Nat Friedman and Daniel Gross, providing scaled compute to early-stage startups and AI labs by routing training and inference jobs across global supply.

What you will do

• Match sales leads with internal and external compute capacity
• Maximize utilization of compute resources
• Source and onboard new compute suppliers globally
• Source capacity based on customer needs and market trends
• Solve problems for customers and suppliers in a fast-moving market
• Understand technical and commercial supplier differences to optimize capacity
• Develop proactive compute strategy using market intelligence
• Negotiate costs with suppliers and vendors
• Create and implement capacity planning processes

Requirements

• 2+ years in cloud sales, GPUs, data centers, or related field
• Existing network of contacts in compute market (providers, brokers, buyers)
• Deep understanding of GPU compute market dynamics
• Strong written and verbal communication with technical and commercial stakeholders
• Sound judgment impacting revenue and cost
• Comfortable in ambiguity, self-directed, and bias toward action

Culture & Benefits

• High-impact role unlocking company revenue
• Real business with complex transactions and tangible results
• High-growth startup in massive AI market
• Ownership with direct access to leadership
• Competitive compensation and meaningful equity
• Comprehensive benefits: healthcare, dental, vision, 401(k), unlimited PTO