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About the Role

As Head of Compute Partnerships, you will own the sourcing, economics, and strategic positioning of the GPU capacity that powers Applied Compute's post-training and agent infrastructure. This is a high-leverage role focused on securing compute resources, managing commercial relationships, and gaining early access to new hardware generations to create a durable advantage in a fragmented global supply market. You will collaborate with founders, GTM, provider leadership, research, and engineering teams to define compute strategy.

Responsibilities

• Own compute unit economics end-to-end, including contract structure, margin architecture, and long-term P&L impact of supply commitments.
• Manage global procurement of GPU capacity from hyperscalers, neoclouds, regional operators, and emerging providers.
• Negotiate and close reserved capacity agreements, spot and burst arrangements, MSAs, DPAs, and order forms.
• Secure early access to the latest accelerator generations in required quantities.
• Partner with finance and leadership on capital strategy, including commitment amounts, terms, hardware, and balance sheet exposure.
• Develop frameworks to translate supply decisions into clear financial outcomes.
• Collaborate with research to translate training roadmaps and RL workloads into compute requirements and assess feasibility.
• Partner with engineering on acceptance testing, goodput validation, and technical qualification of providers and hardware.

Requirements

• Strong business and financial acumen, including fluency in unit economics, margin structure, and capital allocation.
• Ability to model long-term P&L consequences of complex supply decisions.
• Deep knowledge of the global AI compute market, including providers, hardware generations, pricing dynamics, and future trends.
• Proven track record of negotiating and closing large-scale contracts, leveraging negotiation power, and structuring deals for downstream economic benefit.
• Comfort operating across finance, commercial, product, and engineering functions, with the ability to translate between them.
• High ownership mentality and proactive problem-solving skills.
• Experience structuring large infrastructure or capacity agreements.
• Existing senior relationships with hyperscalers, neoclouds, or regional compute providers.
• Background in both finance/capital allocation and hands-on commercial negotiation.
• Experience sourcing compute or hardware in a high-growth environment where supply was a constraint.
• Familiarity with AI-native working methods, including LLMs, automation, and programmatic tools.

Skills

• Unit economics
• Margin structure
• Capital allocation
• Financial modeling
• AI compute market analysis
• Contract negotiation
• Deal structuring
• Cross-functional collaboration
• Problem-solving
• Infrastructure agreements
• Capacity agreements
• Relationship management
• LLM utilization
• Automation
• Programmatic tools

Location

• San Francisco

Work Type

• Onsite

Experience Level

• Head of Compute Partnerships

Benefits

• Competitive compensation and equity
• Generous health benefits
• Unlimited PTO
• Paid parental leave
• Daily lunches and dinners
• Transportation and relocation support
• Retirement plans

About the Company

• Applied Compute builds Specific Intelligence for the enterprise, providing continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise.
• The product team builds the platform for a new generation of digital coworkers, the research team pushes the frontier of post-training and reinforcement learning, and the applied AI team works with customers to ship agents into production.
• The team consists of engineers, researchers, and operators, many with prior founder experience, who have built infrastructure at companies like OpenAI, Scale AI, Together, Two Sigma, Watershed, and others.
• The company works with F50 customers and is backed by investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.
• The company seeks individuals excited about applying novel research and complex systems to real-world problems, who enjoy working with customers, and who have a track record of owning projects end-to-end.

Equal Opportunity

• As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.