Strategic Deals Lead, Compute & InfrastructureNew

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

Our Strategic Deals team originates, structures, negotiates, and closes the deals that secure the compute Anthropic uses to train and serve frontier AI systems. We work closely with engineering, infrastructure, finance, legal, product, and go-to-market teams to expand Anthropic's access to cloud capacity, silicon, networking, and the financing behind them. We are hiring several Strategic Deals Leads focused on compute and infrastructure. In this role, you will source opportunities, design partnerships, and negotiate high-value agreements with some of the world's largest technology companies, and you will connect deal terms to structured finance solutions. Your work will directly shape how quickly and reliably Anthropic can bring new compute online. Each hire will bring deep expertise in one or more of these areas while working across the broader infrastructure stack:

• Cloud compute: building and running a pipeline of capacity across established and emerging cloud providers, and structuring the financing that connects capacity commitments to their economics.
• Compute infrastructure: going deep into the silicon supply chain, structuring co-development and early-access deals with semiconductor and emerging hardware companies, and securing networking, backbone, and memory supply.
• Compute partnerships: owning multi-year partnerships with the largest cloud providers, where compute commitments, financing structures, model availability on partner platforms, marketplace and co-sell arrangements, and pricing and revenue-share constructs are negotiated together.

Key responsibilities

• Own deals end to end in your focus area, from opportunity identification and term sheet development through diligence, negotiation, internal approval, close, and post-close execution
• Lead negotiations for complex, high-value agreements with hyperscalers and other cloud providers, semiconductor and hardware suppliers, networking and memory vendors, data center operators, and emerging infrastructure companies
• Bring capital markets and financing thinking to every transaction, including vendor financing, equipment leasing, capacity prepayments, project finance, and credit and residual value guarantees
• Build financial models, term analyses, and commercial frameworks that compare supply options and give leadership a clear view of value, tradeoffs, and risk-adjusted outcomes
• Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term supply strategies and commercially viable deal terms
• Build and own senior relationships with commercial, finance, product, and legal counterparts across the AI infrastructure ecosystem
• Drive internal alignment with legal, finance, engineering, product, and go-to-market teams on deal terms, risk parameters, and the approval path for large commitments
• Track market, technology, competitive, and financing developments across AI infrastructure, including supply constraints, and turn them into clear recommendations for senior leadership
• Represent Anthropic externally with corporate executives, investment banks, and infrastructure investors involved in our transactions

Minimum qualifications

• A track record of originating, structuring, negotiating, and closing complex, high-value technology, infrastructure, or capacity transactions as the principal and lead negotiator (not in a supporting or advisory capacity) and the ability to operate independently from day one
• Transactional experience in at least one focus area: cloud capacity or data center transactions, semiconductor and hardware supply (accelerators, CPU, memory, or networking, including backbone), or hyperscaler and cloud partnerships
• Working knowledge of how large infrastructure commitments are financed, such as vendor financing, take-or-pay obligations, equipment leasing, or project finance, and the ability to shape financing terms alongside commercial terms
• Financial modeling skills to build and pressure-test the economics of large infrastructure transactions
• Experience developing term sheets and negotiating definitive agreements alongside legal counsel
• Ability to work with technical teams and translate engineering requirements into deal structures, contract terms, and strategic business recommendations
• Experience negotiating agreements that combine infrastructure or capacity terms with commercial, product, or go-to-market terms, and an understanding of how those components interact
• Experience building partnerships and influencing senior stakeholders across internal and external organizations, including executive leadership

Preferred qualifications

• 8–10+ years of experience in strategic deals, corporate development, partnerships, investment banking, or business development at technology companies, hyperscalers, cloud providers, or financial institutions, with direct transactional ownership
• Direct experience working with or inside a hyperscaler on AI or cloud partnerships, including familiarity with model gardens, marketplaces, co-sell programs, and partner economics
• Experience managing multiple high-value transactions simultaneously at different stages of maturity and commercial development
• Comfort operating in fast-moving, ambiguous environments where market structures, provider economics, and partnership norms are still evolving
• A genuine interest in the future of AI infrastructure and in Anthropic's mission of building safe, beneficial AI

We're hiring for several roles on this team. Apply once, and we'll match you to the focus area that best fits your background.

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.