Executive Recruiting Coordinator at Crusoe

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Infrastructure, TechnologyIndustries

Requirements

3+ years of experience as a recruiting coordinator, executive assistant, or similar role supporting senior or executive-level hiring
Exceptional communication skills — polished, professional, and approachable across all interactions
Proven ability to manage confidential information with discretion and sound judgment
Strong organizational and time management skills, with the ability to prioritize in a dynamic environment
A collaborative, proactive mindset and the ability to build strong relationships with recruiters, leaders, and executive assistants
Keen attention to detail and a genuine commitment to delivering a premium, white-glove candidate experience

Responsibilities

Coordinate and manage complex, multi-stakeholder interview scheduling for executive-level candidates
Serve as a trusted representative of the company’s brand, delivering a white-glove experience to all candidates and stakeholders
Partner closely with executive assistants and senior leaders to align on priorities and ensure seamless coordination
Support recruiters with drafting and managing sensitive materials such as offer letters and executive correspondence
Maintain data accuracy and compliance within the Applicant Tracking System (ATS) and other recruiting tools
Identify and drive process improvements to enhance efficiency and elevate the executive candidate experience

Skills

ATS

Interview Scheduling

Candidate Experience

Offer Letters

Executive Communication

Process Improvement

Administrative Coordination

Data Accuracy

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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