Capital Markets - Infrastructure Financing

Posted 24 Days Ago
Be an Early Applicant
2 Locations
In-Office
325K-425K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
Lead structuring and execution of financings supporting Anthropic's compute infrastructure. Manage end-to-end financing workstreams, build financial models, engage counterparties, negotiate terms, and partner with compute, treasury, legal, and finance teams. Develop repeatable frameworks, maintain counterparty relationships, and support broader corporate finance and capital markets analysis. Represent the company in negotiations and prepare clear recommendations for finance leadership.
Summary Generated by Built In
About Anthropic

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


The annual compensation range for this role is listed below. 

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

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Skills Required

  • Led complex financing transactions through to close, including direct negotiation and documentation with external counterparties
  • Ability to run financing workstreams with external counterparties independently without close supervision
  • Strong written and verbal communication skills, ability to influence stakeholders and explain complex structures to non-specialists
  • 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
  • Bachelor's degree or equivalent combination of education, training, and/or experience
  • 8-10 years experience across infrastructure investing, private equity, private credit, and/or investment banking
  • Experience in structured and project finance, including analysis of large-scale infrastructure investments
  • Capital markets and capital structure experience

Anthropic Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.

  • Strong & Reliable Incentives Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
  • Healthcare Strength Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
  • Parental & Family Support Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.

Anthropic Insights

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The Company
HQ: San Francisco, California
2,500 Employees

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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