Senior Business Operations Manager - Construction at Crusoe

San Francisco, California, United States

Crusoe Logo
$150,000 – $180,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Construction, Cloud Computing, Artificial Intelligence, Renewable EnergyIndustries

Requirements

Candidates should possess 10+ years of experience working in operationally intensive industries, particularly on mission-critical EPC projects with budgets exceeding $250M (such as hyperscale data centers or semiconductor fabs). Familiarity with scheduling and cost-control tools is required, along with a deep understanding of medium-voltage gear, UPS, switchgear, and high-density GPU loads. A Bachelor’s degree in Engineering, Construction Management, or a related field, or an MBA, is preferred.

Responsibilities

The Senior Business Operations Manager will run the critical path by identifying and driving mission-critical meetings, deadlines, and initiatives, and will create weekly reporting to provide a one-pager to senior leadership. They will codify how Crusoe builds by authoring playbooks, RACI/RAPID matrices, and turnover packages to ensure consistent execution across new campuses. The role involves acting as a budget and change-order sheriff, partnering with Finance to manage scope creep and maintain variance below 5%. Additionally, the manager will build the organization by diagnosing talent gaps, architecting the org chart, hiring, and coaching high-leverage operators, and serving as a safety and compliance champion to ensure standards and obligations are integrated into daily work plans.

Skills

Business Operations
Project Management
Data Analysis
Reporting
Cost Management
Schedule Management
Risk Management
Quality Management
Kanban
Gantt Charts
AI Infrastructure
Cloud Infrastructure
Data Center Operations

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Denver, ColoradoHeadquarters
2018Year Founded
$1,082.2MTotal Funding
SERIES_DCompany Stage
Energy, AI & Machine LearningIndustries
201-500Employees

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

Risks

Increased competition in AI infrastructure could threaten Crusoe's market share.
Regulatory scrutiny may arise from Bitcoin mining's environmental concerns.
Rapid expansion into AI infrastructure may lead to operational challenges.

Differentiation

Crusoe converts wasted energy into computing power, reducing environmental impact.
The company offers scalable solutions for AI and high-performance computing needs.
Crusoe's Digital Flare Mitigation technology utilizes natural gas for eco-friendly Bitcoin mining.

Upsides

Crusoe secured $600M in Series D funding, boosting AI infrastructure expansion.
Partnerships with tech firms enhance Crusoe's AI capabilities and market reach.
AI-driven energy optimization can significantly reduce operational costs in data centers.

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