Senior Customer Success Manager
Crusoe is an AI infrastructure and cloud computing company. It provides GPU cloud capacity, managed AI services, inference, fine-tuning, data centers, and energy infrastructure for AI developers and enterprise customers.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Crusoe, Inc
Crusoe designs, builds, and operates energy-first AI infrastructure, including data centers, GPU cloud computing, and modular AI factories. Crusoe Cloud provides GPU clusters, managed Kubernetes and Slurm, storage, networking, observability, managed inference, serverless fine-tuning, and model deployment through Crusoe Intelligence Foundry. Its customers include AI startups, enterprises, and organizations developing training, inference, analytics, and other compute-intensive workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Develop and maintain customer relationships, understand business and technical needs, advocate for customer successes through case studies, act as a liaison between customers and technical teams, guide cloud-based AI and machine learning implementations, monitor performance and return on investment, coordinate customer journeys with product and engineering, provide strategic advice, deliver training, and resolve customer concerns.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Advanced degree preferred
- Experience in customer success, technical account management, or a similar technology role
- Technical foundation in cloud computing, AI, and machine learning
- Interpersonal, communication, and presentation skills
- Ability to build relationships at all organizational levels
- Ability to work in a fast-paced environment with ambiguous or iterative fact sets
Responsibilities
- Develop and maintain customer relationships
- Understand customer business needs and technical requirements
- Create case studies highlighting customer successes
- Act as a liaison between customers and technical teams
- Provide technical guidance for cloud-based AI and machine learning solutions
- Guide implementation and optimization of Kubernetes solutions
- Conduct customer reviews and report on progress
- Coordinate customer journeys with product and engineering teams
- Monitor industry trends, technical advancements, and regulatory changes
- Deliver customer training sessions and workshops
- Resolve customer concerns
Benefits
- Restricted Stock Units
- Paid time off
- Paid holidays
- Health insurance
- Dental insurance
- Vision insurance
- Employer HSA contributions
- Paid parental leave
- Paid life insurance
- Short-term disability insurance
- Long-term disability insurance
- Professional development
- Tuition reimbursement
- Mental health support
- Wellness support
- Commuter benefits
- Cell phone stipend
- 401(k) retirement plan with company match up to 4% of salary
- Volunteer time off
