Compute Infrastructure Deals Architect

Anthropic; San Francisco (CA); Hybrid; USD 200,000 - 265,000; Full time

Job summary

Anthropic is seeking a Strategic Deals Lead in San Francisco to shape compute partnerships and infrastructure strategy. You will originate, structure, negotiate, and close capacity agreements across the compute ecosystem, working with finance, legal, and technical teams to align deals with Anthropic's compute strategy.

The role demands experience in large-scale infra transactions, strong financial modeling, and the ability to manage a broad pipeline independently from day one in a fast-moving AI

Qualifications

• Experience in data center, cloud, or technology infra transactions.
• Originating, structuring, and closing cloud capacity transactions.
• Understanding of pricing, contracts, and the integrated compute market.
• Financing requirements of compute infrastructure projects.

Responsibilities

• Build and manage a pipeline of capacity across the integrated compute ecosystem.
• Maintain executive relationships with commercial, finance, and legal teams.
• Lead the full deal lifecycle for capacity agreements from engagement to close.
• Develop frameworks for evaluating deal economics and counterparty risk.
• Translate compute requirements into commercial terms and supply strategies.
• Maintain market intelligence on cloud/integrated compute landscapes.
• Represent Anthropic to executives, banks, and investors.

Skills

Investment banking experience

Financing knowledge

Deal execution

Cloud/compute familiarity

Education

Bachelor's degree

Job description

Anthropic is seeking a Strategic Deals Lead in San Francisco to shape compute partnerships and infrastructure strategy. You will originate, structure, negotiate, and close capacity agreements across the compute ecosystem, working with finance, legal, and technical teams to align deals with Anthropic's compute strategy.

The role demands experience in large-scale infra transactions, strong financial modeling, and the ability to manage a broad pipeline independently from day one in a fast-moving AI