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About the Role
As Compute & Infrastructure Counsel, Real Estate at Anthropic, you'll drive legal execution for Anthropic's largest physical infrastructure transactions, including direct datacenter leases, construction agreements, and financing structures. This role focuses on facilities where Anthropic has direct control through ownership or long-term lease, complementing other legal teams. You'll partner with specialized outside counsel, serving as the in-house coordinator to ensure external work aligns with Anthropic's commercial objectives and integrates with our compute strategy.
Responsibilities
- Negotiate long-term datacenter leases with major developers, representing some of Anthropic's largest capital commitments.
- Coordinate construction-adjacent agreements including design-build contracts, equipment procurement, and commissioning schedules.
- Manage legal workstreams for complex financing structures (e.g., sale-leasebacks, tax components, or project finance vehicles).
- Work closely with specialized outside counsel (real estate and financing specialists), ensuring their work product aligns with Anthropic's commercial objectives.
- Collaborate with compute team's transaction managers, providing legal and risk management expertise.
- Coordinate with finance and corporate development on strategic deal structuring.
- Understand how datacenter legal structures interact with compute capacity, including power requirements, cooling specifications, security standards, and expansion rights.
- Escalate novel structures or terms that create downstream risk for Anthropic's operational flexibility to managers.
- Ensure facility designs accommodate AI-specific requirements including high-density power, liquid cooling infrastructure, and rapid scaling capacity.
Requirements
- JD and active membership in at least one U.S. state bar.
- Fluency in commercial real estate and construction contracting; datacenter lease structures, construction risk allocation, and financing arrangements.
- Experience with EPC, AIA, and design-build arrangements at scale.
- Comfort with project finance structures and the interplay between lease, financing, and development agreements.
- Ability to coordinate effectively with specialized outside counsel while maintaining strategic direction.
- Strong judgment about when deal terms create downstream risk for operational flexibility.
- Effective collaboration skills for working with business teams who handle transaction management and site selection.
- Communication skills that translate complex real estate and financing concepts into clear risk assessments for business stakeholders.
- Genuine interest in infrastructure development and appreciation for why datacenter capacity is mission-critical for frontier AI.
Skills
- Commercial real estate contracting
- Construction contracting
- Datacenter lease structures
- Construction risk allocation
- Financing arrangements
- EPC
- AIA
- Design-build arrangements
- Project finance structures
- Lease agreements
- Financing agreements
- Development agreements
- Coordination with outside counsel
- Strategic direction
- Risk assessment
- Collaboration
- Communication
Location
- San Francisco
- Seattle
Work Type
- Hybrid
Experience Level
- At least 8 years of relevant legal experience with meaningful exposure to infrastructure real estate transactions, project finance, or construction contracts
- In-house experience at datacenter developers supporting leasing, project development, and financing transactions
- Background at infrastructure private equity firms with exposure to datacenter or similar infrastructure investments
- Experience at large technology companies with datacenter construction programs supporting development transactions from the buy side
- Law firm experience at practices with infrastructure finance or project development specialization, particularly those who have worked on datacenter, power, or similar infrastructure financings
- Prior involvement in transactions requiring sophisticated understanding of construction timelines, commissioning requirements, and operational handoff
- Familiarity with tax structures, sale-leaseback arrangements, or other financing vehicles used in large-scale infrastructure development
Education Level
- JD and active membership in at least one U.S. state bar
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
Salary/Compensations
- $265,000—$335,000 USD
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Visa sponsorship
About the Company
- 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 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.
- 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.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- 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.