Full-Time

Director Energy Development Group Commercial Development

Thermal

Updated on 9/3/2026

Crusoe

Crusoe

1,001-5,000 employees

Climate-aligned HPC powered by wasted energy

Compensation Overview

$190k - $230k/yr

Denver, CO, USA

In Person

Bachelor's

Category
Business & Strategy (1)
Required Skills
Graphics Processing Unit (GPU)
Market Research

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Requirements
  • At least 8 years of experience in the energy industry, specifically in thermal asset project development, financing, and/or origination roles.
  • Proven experience in power marketing and power purchase agreement negotiation for thermal resources, including utility-scale agreements with independent power producers and utilities.
  • Strong understanding of thermal power generation using natural gas, including heat rates, fuel supply logistics, dispatch economics, and complex commercial frameworks such as physical and financial hedges, tolling agreements, and behind-the-meter configurations.
  • Strong understanding of United States energy markets and the regulatory environment, including Independent System Operator/Regional Transmission Organization market rules, nodal pricing dynamics, and the evolving regulatory landscape for large-load energy consumers.
  • Excellent negotiation, strategic thinking, and leadership skills, with the ability to mentor and informally guide junior team members.
  • Ability to work cross-functionally and influence without direct authority.
  • Relevant degree in Business, Economics, Engineering, or a related field.
  • Strong interpersonal and project management skills.
Responsibilities
  • Work directly with internal technical teams and external partners to site, design, and deliver power and land to energy-intensive artificial intelligence compute deployments, including high-density graphics processing unit data centers.
  • Define and deploy strategic frameworks for new project development, primarily within the United States.
  • Develop and execute complex energy and real estate deals from start to finish and act as the central point to drive these deals to completion.
  • Partner with cross-functional teams to ensure alignment with company goals and market needs.
  • Analyze regulatory and policy developments affecting the energy and artificial intelligence industries and recommend proactive adjustments to business strategies based on market intelligence.
  • Develop and implement power sourcing strategies to reduce overall levelized cost of energy, focused on thermal resources.
  • Evaluate energy market dynamics, nodal pricing, and dispatch economics to optimize procurement timing and structure.
  • Conduct market research to identify and capitalize on emerging opportunities.
  • Build and maintain relationships with thermal asset project owners, brokers, independent power producers, and artificial intelligence workload end users.
  • Lead negotiation and structuring of power purchase agreements and real estate agreements needed to build high-performance computing data centers, including physical and financial hedges, tolling agreements, and behind-the-meter configurations for thermal resources.
  • Lead interconnection submittals and approvals for data center load and lead property tax abatement negotiations.
  • Work with legal and financial teams to ensure compliance with regulatory requirements and financial objectives.
  • Originate and develop gigawatt-scale energy and infrastructure projects for next-generation compute campuses.
  • Drive execution across all aspects of energy and infrastructure projects and help define strategic growth plans for the Energy Development Group.
Desired Qualifications
  • Deep interest in artificial intelligence workloads and experience working with artificial intelligence infrastructure providers, hyperscalers, or compute developers.
  • Familiarity with carbon capture and storage as a complement to thermal development.
  • Familiarity with ERCOT.
  • Curiosity, eagerness, tenacity, and quick learning ability.
  • Adaptability in a fast-paced, dynamic environment where the industry changes quickly and goals evolve in real time.

Crusoe Energy Systems uses wasted, stranded, or clean energy sources to power high-performance computing and AI workloads. It turns otherwise unused energy into scalable computing resources and offers technical support to enterprises in AI and data-intensive fields. Unlike traditional data centers, Crusoe colocates infrastructure at energy sources to capture excess energy and convert it into computer power, reducing emissions. Its goal is to help the energy transition by providing climate-aligned, reliable computing while boosting resource efficiency.

Company Size

1,001-5,000

Company Stage

Series F

Total Funding

$18.7B

Headquarters

Denver, Colorado

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • September 3, 2026 funding delivered over $3 billion for expansion.
  • March 2026 Microsoft deal added 900 MW and lifted Abilene to 2.1 GW.
  • July 2026 Childress campus with Lancium added another 1.0 GW pipeline.

What critics are saying

  • Texas regulators rejected Crusoe's proportional curtailment plan on July 24, 2026.
  • TCEQ's Abilene gas-plant permit stayed open through September 2, 2026.
  • Google-linked gas power at Goodnight can trigger 4.5 million annual tons CO2.

What makes Crusoe unique

  • Crusoe combines AI data centers with behind-the-meter power and gas generation.
  • March 2026 Abilene expansion targeted Microsoft, alongside OpenAI and Oracle workloads.
  • September 2026 financing hit $30 billion, signaling rare hyperscaler-scale execution.

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Benefits

Industry competitive pay

Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

Paid life insurance, short-term and long-term disability

Parental leave

Stock options in a fast-growing, well-funded technology company

Pet-friendly offices

Teladoc

401(k) with a 4% match

Unlimited time off

Cell phone reimbursement

Tuition reimbursement

Company paid commuter benefit; $100 per month

Calm

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

1%
Bloomberg Law
Sep 3rd, 2026
Crusoe Raises Over $3 Billion in Round at $30 Billion Valuation

Crusoe, a cloud-computing provider and data center developer doing business with OpenAI, Microsoft Corp. and Meta Platforms Inc., has raised over $3 billion in a funding round that values the startup at roughly $30 billion, according to people familiar with the situation.

Yahoo Finance
Jul 31st, 2026
Crusoe plans $1B expansion of Google-linked Texas data centre with two new buildings

Crusoe has registered two additional data-centre buildings at its Goodnight campus near Claude, Texas, with estimated construction costs totalling $1 billion, according to state filings. The buildings would add approximately 1.61 million square feet to the Armstrong County development, also known as Project Llano. Each single-storey structure is planned at roughly 805,380 square feet, with multiple data halls, office space and support areas. Public reporting has linked Google to the campus development through intermediary Ensign Infrastructure. Building 3 is scheduled for completion on 1 August, whilst Building 4 has a March 2027 completion date. Power plans include grid-supplied electricity and potential on-site generation, with a natural-gas plant proposal for up to 933 MW capacity. Separately, Crusoe announced a partnership with Aalo Atomics to examine modular nuclear generation for future data centres.

Yahoo Finance
Jul 21st, 2026
Crusoe and ON.energy to deploy 5GW of AI UPS™ across multiple hyperscale campuses

Crusoe and ON.energy have announced a partnership to deploy 5 gigawatts of AI UPS™ technology across multiple hyperscale campuses, with commissioning starting in 2026 and continuing into 2027. AI data centres create unprecedented grid challenges. During training, thousands of GPUs ramp up and down in synchronised bursts, causing power demand fluctuations hundreds to thousands of times daily. These load swings can propagate through interconnection points into transmission systems. ON.energy's patented AI UPS™ is a medium-voltage uninterruptible power system that sits between power sources and data centres. It decouples facilities from the grid, protecting equipment during voltage faults whilst preventing GPU load swings from affecting the grid. The technology has been validated against ERCOT's Large Load Interconnection requirements, meeting grid stability and voltage ride-through standards.

Associated Press
Jul 15th, 2026
Crusoe and Lancium to build 1GW AI data centre campus in Texas

Crusoe and Lancium announced a 1.0 gigawatt AI data centre campus in Childress, Texas. The grid-connected facility will span 270 acres owned by Lancium, which will develop and manage the site's energy infrastructure, whilst Crusoe will design, build and operate the data centre. Construction is expected to begin in the third quarter of 2026, creating thousands of construction jobs and over 100 permanent positions. The campus will support deployment of hundreds of thousands of advanced AI accelerators for training or inference. This marks the second site using the same partnership structure between the companies, following their collaboration in Abilene. The development will feature closed-loop, non-evaporative liquid cooling systems and behind-the-metre solar and energy storage resources.

Associated Press
Jul 7th, 2026
Crusoe launches serverless fine-tuning and self-serve inference for open AI models

Crusoe, an AI infrastructure company, has launched Serverless Fine-Tuning and Self-Serve Deployments in its Crusoe Intelligence Foundry platform. The new capabilities allow data scientists and ML engineers to customise open-source AI models with proprietary data and deploy them to production without managing infrastructure. Serverless Fine-Tuning enables teams to launch fine-tuning jobs through a simple interface, selecting from curated open-weight models and uploading custom datasets. Jobs run on distributed AI-optimised infrastructure with automated recovery. Completed model weights are provided in portable format and can be deployed immediately or downloaded for external use. Self-Serve Deployments offer production-grade inference on NVIDIA H100 or H200 GPUs, billed per GPU hour. Teams can deploy models directly from fine-tuning workflows or select base models optimised for throughput or responsiveness. Both features will be generally available next week.