Sr. Director of Solutions Engineering at Crusoe

Denver, Colorado, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, TechnologyIndustries

Requirements

15+ years of experience in Solutions Engineering, Sales Engineering, or Technical Consulting, with at least 5 years in leadership roles
Proven success building and scaling high-performing technical teams, including organizational design, hiring, and mentorship
Strong executive presence and the ability to act as a trusted advisor to C-level executives, senior technical leaders, and decision-makers
Deep technical expertise in cloud infrastructure and AI/ML workloads, with hands-on experience guiding customers through solution design, architecture reviews, and POCs
Track record of driving post-sales success and long-term customer engagements, helping organizations optimize architecture, utilization, and economics
Experience developing solutions

Responsibilities

Build, lead, and mentor a world-class Solutions Engineering team, while serving as a hands-on player-coach who actively engages in customer conversations, technical discovery, POCs, and post-sales deployments when required
Act as a trusted advisor to C-level executives, senior technical leaders, and decision-makers across startups, digitally native businesses, and enterprises
Lead technical discovery, solution design, and architecture reviews during pre-sales cycles, while establishing a scalable engagement framework with formal POC methodologies, discovery protocols, and success criteria
Guide customers through proof-of-concept and evaluation phases, helping them validate Crusoe’s differentiated performance, price, and scalability
Post-deal, provide technical guidance to optimize AI workloads and improve efficiency, ensuring customers maximize the value of Crusoe’s infrastructure
Develop and articulate solutions that deliver better price-performance, lower TCO, and more efficient AI infrastructure utilization, while creating reference architectures and deployment patterns that simplify adoption and scaling
Partner with Sales to accelerate adoption and close transformative deals by providing technical credibility, competitive positioning, and ROI/TCO justification
Collaborate with Product and Engineering to shape roadmap priorities and establish a voice-of-the-customer feedback loop to ensure learnings from POCs and customer engagements directly inform product direction

Skills

Key technologies and capabilities for this role

Solutions EngineeringTeam LeadershipTechnical DiscoveryProof of ConceptsAI WorkloadsCloud PlatformPre-SalesPost-SalesCustomer RequirementsSolution Design

Questions & Answers

Common questions about this position

Is this role remote or onsite?

This is an onsite position.

What are the key responsibilities of the Senior Director of Solutions Engineering?

The role involves building and leading a Solutions Engineering team, acting as a trusted advisor to executives, leading technical discovery and POCs, providing post-sales optimization for AI workloads, and partnering with Sales to close deals.

What leadership experience is needed for this position?

Candidates need experience building, leading, and mentoring high-performing teams in a hands-on player-coach capacity, while engaging directly with customers.

What is the company culture like at Crusoe?

Crusoe fosters an innovative environment focused on accelerating energy and intelligence abundance through sustainable AI technology, where teams drive meaningful impact in responsible cloud infrastructure.

What makes a strong candidate for this role?

Strong candidates have hands-on leadership experience at the intersection of Sales, Product, and Engineering, with expertise in technical discovery, POCs, AI workload optimization, and building scalable teams.

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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