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  7. Manager, Finance - Data Center Design
Crusoe logo

Manager, Finance - Data Center Design

Crusoe·San Francisco, California
Full-time

Salary

$160k–$195k/ annually

Posted 2 days ago

Application completed on Crusoe

About This Role

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About the Role:

Crusoe is looking for a Data Center Design Manager to own the optimization of our data center designs against the constraints that matter most: space, power, and cost. This role sits at the intersection of engineering and the business — you'll partner directly with Manufacturing, Engineering, Finance, Supply Chain, and Operations to make sure design decisions reflect real commercial trade-offs, not just technical ideals. You'll work across mechanical, electrical, product, and structural design disciplines to push rack density and power delivery further while keeping build and operating costs in check, and you'll be the person in the room translating between design engineers and business stakeholders so every site delivers the best possible economics.

What You'll Be Working On:

Design Optimization: lead trade-off analysis across space, power density, and cost for new data center designs, identifying opportunities to increase compute per rack and per square foot without compromising reliability

Business Partnership: work directly with Finance, Engineering, and Supply Chain to translate commercial requirements — cost targets, delivery timelines, customer commitments — into concrete design specifications

Power & Cooling Strategy: partner with electrical and mechanical engineering teams to evaluate power distribution, cooling architecture (air, liquid, immersion), and their impact on achievable rack density

Cost Modeling: build and maintain models comparing design alternatives on total installed cost and cost per kW, per rack, and per square foot, giving leadership a clear basis for design decisions

Standardization & Reuse: develop repeatable design standards and reference architectures that can be deployed across sites, reducing engineering rework and accelerating time to build

Vendor & Technology Evaluation: assess new data center technologies (power delivery, cooling, rack/enclosure systems) for their potential to improve density, cost, or deployment speed

Cross-Functional Design Reviews: run design review sessions with Engineering, Operations, and business stakeholders to validate that designs meet both technical requirements and commercial targets before they're locked

What You'll Bring to the Team:

7+ years of experience in data center design, engineering, or infrastructure planning, with direct exposure to power, cooling, and space optimization trade-offs

Strong understanding of data center electrical and mechanical systems — power distribution, UPS, cooling architectures (air and liquid), and structural/floor loading considerations

Demonstrated experience partnering with commercial or business teams to translate cost and timeline constraints into engineering decisions

Comfort building and using cost models to compare design alternatives quantitatively, not just qualitatively

Excellent cross-functional communication skills, with the ability to work fluently with both engineers and business stakeholders

Experience with high-density compute environments (AI/ML, HPC, or GPU-dense infrastructure) strongly preferred

Bachelor's degree in Mechanical, Electrical, or Structural Engineering, Architecture, or a related field; advanced degree a plus

Benefits:

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 Range

Compensation will be paid in the range of up to $160,000-$195,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Required Skills

Data center designInfrastructure planningPower distributionCooling architecturesCost modelingFinancial analysisCross-functional communicationMechanical engineeringElectrical engineeringRack density optimizationSupply chain managementProject managementTechnical translationVendor evaluationHPC infrastructureAI/ML infrastructure

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Quick Facts

Location
San Francisco, California
Employment
Full-time
Category
Operations Management
Source
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