What You’ll Be Working On
- Pipeline development: Manage early stage opportunity sourcing and qualification, working closely with Commercial Leads and the Digital Infrastructure Group
- Partner engagement: Conduct preliminary discussions with potential counterparties and partners to validate project details and fit with Crusoe criteria and objectives
- Project due diligence: Drive vetting of early stage projects to identify key risks and mitigation pathways to create a recommendation to advance / kill projects
- Deal execution support: Support Commercial Leads in driving deal analyses, structuring, and negotiation
- Cross-Functional Collaboration: Collaborate with cross-functional teams including Technical Development, Real Estate, Power Infrastructure, Digital Infrastructure, Regulatory, Cloud, and others to drive alignment between pipeline development and Crusoe’s long term goals
- Market & Regulatory Analysis: Analyze regulatory and policy developments impacting both the energy and AI industry. Recommend proactive adjustments to business strategies based on market analysis.
- Market Research: Assess key trends within market segments (grid power incl. utilities / ISOs; gas power incl. turbine OEMs and gas suppliers, renewables incl. IPPs, etc.) to identify opportunities and support efforts to capitalize on them
- Interconnection & Tax Abatement: Support interconnection application process and property tax abatement negotiations.
- Data management and executive reporting: Own critical project data (cost, schedule, deal terms, equipment details, etc.) and drive synthesis to support executive reporting
What You’ll Bring to the Team
- Energy & Real Estate Industry Experience: A minimum of 4+ years of experience in the energy and or industrial real estate sector(s), specifically within the project development of large-scale infrastructure
- Power Marketing & PPA Origination: Experience with common energy sector players, deal structures, and origination strategies
- AI Compute or Data Center Experience: Deep interest in AI workloads and working with AI infrastructure providers, hyperscalers, or compute developers
- Market & Regulatory Understanding: Solid familiarity with the U.S. energy landscape and fluency in macro market trends
- Key Skills: Adept in building relationships, highly organized / detail oriented, ability to work seamlessly across multiple projects
- Humility: Commitment to a flat organizational culture where no task is too small, there is an obligation to challenge and be challenged, and the best idea wins with no ego
- Hypothesis Driven: Comfortable with ambiguity and able to solve complex problems with imperfect information by identifying first principles and making structured decisions
- Energy and Empathy: Passion for tackling big problems and solving challenges as part of a high performing team committed to bringing out the best in each other
- Education: Relevant degree in Business, Economics, Engineering, or a related field
Bonus Points
- Growth Mindset: Curious, eager, tenacious, and a quick learner.
- Adaptability: Willing to work hard at a fast-paced, dynamic startup where the industry changes quickly and goals evolve in real-time.
- Solution oriented: Relentlessly identify, propose, and implement opportunities to work more effectively as a team
Benefits
- Competitive compensation
- Restricted Stock Units
- Paid time off & paid holidays
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
Compensation
Compensation will be paid in the range of $125,000-$150,000 + Bonus. Restricted Stock Units and an annual targeted bonus are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.