Senior Customer Success Manager
Crusoe is an AI infrastructure company that designs, builds, and operates AI data centers and a cloud platform. It provides managed AI services, GPU compute, model fine-tuning and inference, and infrastructure operations for organizations building and deploying AI workloads.
Maintainer signals as of 8/20/2026
Funding history
Projects
About Crusoe
Crusoe, the AI factory company, provides Crusoe Cloud and Crusoe Intelligence Foundry for AI development and production. Its offerings include managed inference, serverless fine-tuning, high-performance NVIDIA and AMD compute, accelerated storage, RDMA networking, managed Kubernetes and Slurm, and operations tooling. The company also designs, builds, and operates modular AI data-center infrastructure using an energy-first approach, serving customers that need scalable training, inference, and AI platform infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop and maintain customer relationships, understand business and technical needs, advocate for customer successes through case studies, and act as a liaison between customers and technical teams. You will guide customers through 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 to support satisfaction and retention.
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