Senior Manager, Deployment Architecture

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Industrial & Manufacturing, HardwareIndustries

Requirements

Candidates should have a minimum of 10 years of experience in data center design and deployment, along with a proven track record of successfully leading and managing complex engineering projects. A deep understanding of data center architecture and best practices is essential, as well as familiarity with the latest technologies in AI computing. Excellent communication, collaboration, and problem-solving skills are required, along with a highly motivated and results-oriented work ethic.

Responsibilities

The Senior Manager of Deployment Architecture will collaborate with engineering, construction, and operations teams to define project requirements and develop deployment plans for AI data centers. They will lead a team of engineers in designing and implementing innovative data center architecture solutions, oversee the procurement, installation, and commissioning of data center equipment, and manage project budgets and timelines to ensure successful on-time and on-budget delivery. Additionally, they will identify and mitigate potential risks associated with data center deployments and stay up-to-date on the latest trends and technologies in data center design and construction.

Skills

Data Center Architecture

Project Management

Team Leadership

Procurement

Installation

Commissioning

Budget Management

Timeline Management

Risk Mitigation

AI Data Centers

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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