Full-Time

Senior Director of Solutions Engineering

Posted on 9/30/2025

Crusoe

Crusoe

501-1,000 employees

Harnesses flare gas for on-site HPC

Compensation Overview

$255k - $300k/yr

+ Bonus + RSU

San Francisco, CA, USA + 3 more

More locations: Bellevue, WA, USA | Denver, CO, USA | Sunnyvale, CA, USA

In Person

Category
Sales & Solution Engineering (1)
Required Skills
Machine Learning
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 and scalable patterns (e.g., reference architectures, MLOps integrations) that improve performance, reduce TCO, and simplify AI workload deployment
  • A hands-on leadership style; comfortable rolling up your sleeves to design solutions, run POCs, and engage with customers directly, while building and scaling a high-performing team
  • Excellent cross-functional collaboration skills, with the ability to partner closely with Sales, Product, and Engineering and translate customer feedback into roadmap impact
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
Desired Qualifications
  • Experience with hyperscalers, GPU clouds, or high-performance compute environments
  • Familiarity with large-scale AI training and inference architectures
  • Strong network in the AI/ML and enterprise technology ecosystem
  • Track record of working with Fortune 500 enterprises and digitally native businesses on transformative infrastructure deals

Crusoe Energy Systems captures wasted flare gas from oil and gas sites and uses it to generate electricity on-site, powering modular data centers for high-performance computing tasks. This setup enables clients to run compute-heavy workloads such as artificial intelligence, machine learning, and cryptocurrency mining using fuel captured from the same site. The company’s model has two parts: helping energy producers reduce flaring by turning stranded gas into usable power, and selling cloud computing services to customers around the world. In short, Crusoe pairs energy capture with on-site computing to provide affordable, low-carbon computing power. Unlike traditional data-center operators, Crusoe owns and controls the energy-to-compute chain—from gas capture to data processing—creating a direct link between the energy and technology sectors and offering a clear environmental benefit alongside access to compute resources.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$1.1B

Headquarters

Denver, Colorado

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Google joined Crusoe in November 2025 for $40B Texas investment.
  • Crusoe Cloud's MemoryAlloy delivers 9.9x faster AI inference.
  • DRO unlocks revenue from underutilized renewables for partners.

What critics are saying

  • Texas revokes Goodnight air permits, halting construction in 3 months.
  • CoreWeave undercuts pricing by 30%, seizing 70% AI market in 6 months.
  • Google terminates partnership after emissions backlash in 6 months.

What makes Crusoe unique

  • Crusoe captures flare gas to power modular AI data centers on-site.
  • DFM achieves 99.9% combustion efficiency versus flares' 91.1%.
  • Vertically integrates energy capture with HPC and cloud computing.

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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

Company News

Condé Nast
Apr 2nd, 2026
Google-backed Texas data center to emit 4.5M tons of CO₂ yearly via private gas plant

A Google-backed data center in Texas will be partly powered by natural gas turbines emitting 4.5 million tonnes of greenhouse gases annually, equivalent to adding over 970,000 petrol cars to the road. The Goodnight campus in Armstrong County is being built by AI infrastructure company Crusoe, which Google joined in November as part of a $40 billion Texas investment. According to state air permit applications, the facility's fifth and sixth buildings will use private, off-grid gas power, though Google says it has no contract in place for this energy. The project reflects a broader trend: data centers are driving a US natural gas boom, with nearly 100 gigawatts of gas-fired power currently in development solely for such facilities. Several planned projects would emit even more, with OpenAI and Oracle's New Mexico facility potentially generating 14 million tonnes yearly.

Crusoe
Dec 24th, 2024
Crusoe Closes $600M in Series D Round at $2.8 Billion Valuation to Power AI

Crusoe is on a mission to align the future of computing with the future of the climate.

Benzinga
Oct 29th, 2024
Crusoe Energy Secures $500M Investment

Crusoe Energy, a data center startup, secured a $500 million equity investment led by Peter Thiel's Founders Fund, valuing the company at approximately $3 billion. The investment supports Crusoe's expansion in AI infrastructure and coincides with a $3.4 billion deal with Blue Owl Capital for a new data center in Texas. Crusoe uses waste natural gas to power its centers, reducing emissions. Thiel's Founders Fund continues to invest in AI and cryptocurrency sectors.

VentureBeat
Jul 4th, 2024
From Code To Impact: Crusoe’S Hackathon Reveals Ai’S Power To Drive Change In Energy And Beyond

We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future. Learn More. In a 24-hour hackathon hosted by Crusoe Energy and Lowercarbon Capital, developers demonstrated the remarkable speed at which AI can tackle longstanding challenges in the clean energy sector. The event, held in San Francisco on June 28-29, 2024, showcased how AI tools can compress months or years of traditional work into mere hours, potentially revolutionizing clean energy deployment.The winning team, Verdigris, exemplified this swift transformation by developing an AI system that addresses key barriers in home electrification. Their tool analyzes mortgage data to identify qualified homeowners for zero-cost upgrades and generates personalized marketing materials, including AI-created images of homes with proposed improvements. This level of personalization and automation could significantly accelerate the adoption of home energy upgrades.Team Verdigris’ winning moment    Credit: Crusoe Verdigris’s system integrates with bank databases to access mortgage information, income data and property details

VentureBeat
Jun 24th, 2024
How Gradient Created An Open Llm With A Million-Token Context Window

Don’t miss OpenAI, Chevron, Nvidia, Kaiser Permanente, and Capital One leaders only at VentureBeat Transform 2024. Gain essential insights about GenAI and expand your network at this exclusive three day event. Learn More. In a recent collaboration, AI startup Gradient and cloud compute platform Crusoe extended the “context window” of Llama-3 models to 1 million tokens. The context window determines the number of input and output tokens a large language model (LLM) can process. Big tech companies and frontier AI labs are locked in a race to extend the context windows of their LLMs. In a few months, models have gone from supporting a few thousand tokens to more than a million in less than a year

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