Financial Analyst- Real Estate, Land & Leases
Crusoe · San Francisco, CA - US
Infrastructureonsiteentry-level$105k–$125k
At a glance
Highlights
- Build site-level models for land deals to drive go/no-go TCO decisions.
- Support due diligence for land acquisitions and ground leases for AI data centers.
- Track land portfolio lifecycle from acquisition through construction and operations.
What they offer
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Professional development & tuition reimbursement
- 401(k) retirement plan with company match up to 4% of salary
- Daily meals allowance
- Commuter benefits (parking & transit)
- Cell phone stipend
Ideal candidate
Detail-oriented early-career finance problem-solver excited by real estate and infrastructure deal-making. Thrives in ambiguity and cross-functional work, eager to turn land and power constraints into scalable AI infrastructure.
Requirements
- Strong financial modeling and Excel skills; comfort building and maintaining models from templates or scratch
- Familiarity with (or eagerness to learn) ground leases, purchase options, easements, and real estate/economic development incentive structures
- Basic understanding of how real estate/land structures interact with project financing (debt sizing, financeability, credit requirements)
- Excellent attention to detail and organizational skills; able to manage multiple deals/assets simultaneously
- Strong communication skills and ability to work cross-functionally with Legal, Development, and Finance teams
Lab profile
About Crusoe
Vertically integrated AI infrastructure company powering ambitious AI workloads from electrons to tokens.
What they build
- Crusoe Cloud for AI workloads
- Purpose-built AI data centers
- Managed GPU infrastructure
Known for
- Vertically integrated from electrons to tokens
- Owns and operates full infrastructure stack
- Built for large-scale AI workloads
Key facts
- Founded in 2018
- Headquartered in San Francisco, CA
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