Technology & Engineering Full-time

Project Executive

Crusoe

Posted

May 27, 2026

Location

Remote (US)

Type

Full-time

Compensation

$190000 - $240000

Mission

What you will drive

  • Lead complex, hyperscale AI Data Center construction projects
  • Build and lead teams of construction industry professionals
  • Work with large scale budgets
  • Operate as a key leader on some of the largest scale and most critical projects at both Crusoe and globally

Impact

The difference you'll make

This role directly enables the expansion of AI infrastructure that is energy-efficient and environmentally responsible, accelerating the transition to sustainable computing and supporting AI innovation that can solve global challenges.

Profile

What makes you a great fit

  • Over 10 years of experience in construction management of mission critical projects
  • Proven track record of managing and delivering very challenging projects on time and on/under budget
  • Deep understanding of construction best practices, methodologies, budgeting, scheduling, and quality management
  • Ability to thrive under tight deadlines

Benefits

What's in it for you

  • Competitive compensation and equity packages
  • 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
  • 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
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location

Compensation: $190,000 - $240,000 + Bonus

About

Inside Crusoe

Crusoe is a vertically integrated AI infrastructure company on a mission to accelerate the abundance of energy and intelligence, owning and operating each layer of the stack from electrons to tokens to power the world's most ambitious AI workloads with an energy-first approach.