Customer Success Manager, Crusoe Energy Systems
Managed Inference
$175-200k
OTE
Plus Restricted Stock Units
Renewable-powered AI infrastructure
Posted today
Renewable-powered AI infrastructure
1001+ employees
Posted today
$175-200k
OTE
Plus Restricted Stock Units
1001+ employees
Company mission
To accelerate the abundance of energy and intelligence.
Role
Who you are
- Bachelor's degree in Business, Engineering, or a related field
- 2+ years of experience supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers in a customer success, technical account management, or similar role
- Solid technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms
- Working understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, and GPU infrastructure
- Excellent interpersonal, communication, and presentation skills, with the ability to engage technical customer teams including AI, ML, and Platform Engineers
- Comfortable working in a fast-paced environment with ambiguous and/or iterative fact-sets
Desirable
- Familiarity with LLMs, RAG architectures, agentic applications, and inference optimization concepts
- Experience supporting Managed Inference, model serving platforms, or GPU-based inference environments
- Experience contributing to customer case studies or advocacy programs
What the job involves
- We are seeking a motivated Customer Success Manager to support customers running AI inference workloads on Crusoe's cloud platform
- Sitting within the Customer Experience organization, this role helps clients navigate the operational and technical challenges of deploying and scaling AI applications — from model serving and GPU utilization to production readiness
- You will support customer relationships, act as a bridge to our technical teams, and help clients maximize the value of our AI and ML solutions. This is a full-time position based in the Bay Area, CA
- Build and maintain strong customer relationships, understanding their business needs and technical requirements as they deploy inference workloads
- Provide technical guidance to customers implementing and optimizing our cloud-based AI and ML solutions, including Kubernetes, model deployment, autoscaling, and observability
- Conduct regular reviews and report on customer progress against key performance indicators, monitoring adoption, inference consumption, latency, and uptime to surface growth opportunities and risks
- Coordinate with Product, Engineering, CS, and Solutions teams to surface customer challenges and advocate for customer needs on inference platforms and AI services
- Deliver training sessions and workshops to customers on the use and benefits of our products and services
- Address and resolve customer concerns, supporting customers during escalations and service incidents and escalating complex issues as needed
Our take
Crusoe is tackling one of the biggest challenges facing the digital age: the enormous energy demand of data centres and AI infrastructure. As AI models grow more powerful, they require immense computing power (and therefor electricity) to train and operate. This surge in energy use has put some pressure on power grids, driven up costs, and raised environmental concerns. Crusoe is on a mission to make this process more sustainable by finding smarter, cleaner, and more efficient ways to power the data centres that drive modern computing.
The company started out by putting wasted energy to work. Originally known as Crusoe Energy, it captured natural gas that would otherwise be burned off ("flared") at remote oil sites and used it to power modular data centres. Today, Crusoe has evolved into a major player in AI infrastructure, designing and operating large-scale data centres near renewable or stranded energy sources. It's now one of a handful of "neocloud" companies (next-generation cloud providers focused on flexible, efficient computing for AI workloads). And its facilities are helping tech giants like OpenAI handle the massive computing requirements of training advanced AI models.
Recently, Crusoe has attracted some huge investor attention, tripling its valuation to over $10B and raising almost $1.4B in its 2025 funding round. It's building OpenAI's first major US data centre campus and even experimenting with bold new frontiers. In partnership with Starcloud, Crusoe plans to deploy the world's first space-based cloud computing infrastructure, powered by solar energy and orbiting the Earth by 2027. If successful, this could redefine how and where computing happens, opening up a cleaner, virtually limitless source of energy for AI's next generation.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Oct 2025
$1.4bn
SERIES E
Dec 2024
$600m
SERIES D
Total funding: $2.5bn
Company benefits
- Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
- Time away: Paid time off for vacations, family bonding, and unexpected needs
- 401(k) match: Build your financial future with our 401(k) matching program
- Mental wellness: Resources and support for your emotional wellbeing and navigating life's challenges
Company HQ
Union Station, Denver, CO
Leadership
Cully Cavness
(Co-Founder, COO & President)Began their career as an Energy Infrastructure Research Fellow before spending 3 years as a Business Development Manager at Recurrent Engineering and serving as CFO of Sword & Plough. They left their role as VP of Highlands Natural Resources to co-found Crusoe Energy Systems.
Chase Lochmiller
(Co-Founder & CEO)Prior to co-founding Crusoe in 2018, Chase was a General Partner at Polychain Capital, a Quantitative Trade at Jump Trading Group, and a Managing Director of Algorithmic Trading at KCG Holdings.
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