Capital Markets - Infrastructure Financing

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a lead for Capital Markets - Infrastructure Financing to drive the structuring and execution of financings that support Anthropic's compute infrastructure strategy. In this role, you will lead financing workstreams end-to-end, engage external financing counterparties, and partner closely with our compute, treasury, legal, finance, and accounting teams to bring transactions from structuring through close. Compute is the foundation of frontier AI progress, and securing it requires tight coordination between our internal teams and external partners. The role may also extend to broader corporate finance and capital markets work as the company grows. This role combines transaction execution with elements of financial analysis, relationship development, and strategic decision support. You will be an integral part of a team focused on securing the compute resources Anthropic needs to pursue its mission of developing safe, beneficial AI systems. Key responsibilities · Own financing workstreams end-to-end: structuring, counterparty engagement, term negotiation, and execution support · Translate infrastructure requirements into clear, investable frameworks and materials for financing counterparties · Build and maintain rigorous financial models supporting transaction structuring and capital allocation decisions · Develop repeatable internal frameworks and processes for evaluating and executing financing transactions · Develop and maintain a credible network of financing and capital markets counterparties · Partner with compute, treasury, legal, and leadership teams to keep transaction terms aligned with broader company priorities · Support broader corporate finance and capital markets analysis as needed · Represent Anthropic independently in negotiations with external counterparties, exercising sound judgment on risk allocation and commercial terms · Prepare analysis and materials that distill complex financing decisions into clear recommendations for Finance leadership Minimum qualifications · Have led complex financing transactions through to close, including direct negotiation and documentation with external counterparties · Able to run a financing workstream with external counterparties independently, without close supervision · Strong written and verbal communication skills, with the ability to influence diverse stakeholders and make complex structures legible to non-specialist leadership · Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution · Strong financial modeling, structuring, credit analysis, and transaction documentation skills · Commitment to safe AI development Preferred qualifications · 8-10 years of experience across infrastructure investing, private equity, private credit, and/or investment banking · Experience in structured and project finance, including financial analysis of large-scale infrastructure investments · Capital markets and capital structure experience For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000—$425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.