Strategic Deals Lead, Compute, Networking & Memory

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.

We are seeking a Strategic Deals Lead, Compute & Infrastructure team member to drive the planning and execution of programs critical to Anthropic's compute infrastructure strategy. In this role, you will manage internal and external stakeholders to bring clarity to our compute technology roadmaps, help prioritize across technical and non-technical teams, and focus on securing and delivering compute capacity.

Anthropic's AI models are available on both our first-party platforms (claude.ai and our API) as well as through our major cloud partners. Ensuring tight coordination between our internal teams and external partners is essential to our ability to stay on the frontier of AI development. You will work closely with engineering, finance, and partnership teams to drive execution of technical roadmaps, support deal structuring, and manage the operational aspects of our compute partnerships.

This role combines technical program management with elements of strategic operations, partnership development, and financial analysis. 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.

• →Drive cross-functional coordination across Engineering, Finance, and external partners to define, scope, and deliver on compute partnership initiatives
• →Develop and maintain detailed project plans, timelines, and status reporting for technical programs related to compute infrastructure and partnerships
• →Partner with engineering leaders to translate technical requirements into actionable roadmaps and track execution against milestones
• →Support the structuring and negotiation of strategic compute deals, including financial modeling, term analysis, and vendor evaluation
• →Build and maintain relationships with key stakeholders at cloud providers and infrastructure partners
• →Develop and manage systems, processes, and documentation to support program management efficiency and stakeholder visibility
• →Analyze financial and operational data to inform decision-making on compute capacity planning and vendor strategy
• →Provide clear and transparent reporting on program status, issues, and risks to leadership

• Experience structuring and negotiating strategic customer deals or partnerships within the technology space (cloud services, semiconductors, data center/infrastructure)
• Background in cloud computing, data center infrastructure, compute/silicon development, or technology-focused investment banking or consulting
• Familiarity with data center infrastructure, compute hardware, and/or silicon development cycles
• Comfort with financial analysis and modeling; experience with vendor financing arrangements is a plus
• Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders
• Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution
• A track record of managing cross-functional initiatives in fast-paced, scaling technology environments
• A passion for Anthropic's mission and ensuring safe AI development

• 8-10 years of experience in technical product/program management, business development, or strategic partnerships roles at technology companies
• Experience managing external partnerships with large-scale cloud providers or hardware vendors
• Understanding of AI/ML infrastructure requirements and compute capacity planning
• Experience with vendor financing, equipment leasing, or infrastructure investment analysis
• Background in technical due diligence or technology M&A

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.

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.

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.