Customer Success Manager Managed Inference
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 support customers running AI inference workloads on a cloud platform, help them deploy and scale AI applications, guide them through model serving, GPU utilization, production readiness, Kubernetes, autoscaling, and observability, monitor adoption and performance, coordinate with technical teams, deliver training, and resolve escalations and service incidents.
Requirements
- 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
- Experience in customer success, technical account management, or a similar role
- Technical foundation in cloud computing platforms, AI, and ML technologies
- Working understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, and GPU infrastructure
- Excellent interpersonal, communication, and presentation skills
- Ability to engage technical customer teams including AI, ML, and Platform Engineers
- Comfort working in a fast-paced environment with ambiguous and iterative fact-sets
Responsibilities
- Build and maintain customer relationships
- Understand customer business needs and technical requirements for inference workloads
- Provide technical guidance for implementing and optimizing cloud-based AI and ML solutions
- Guide customers on Kubernetes, model deployment, autoscaling, and observability
- Monitor adoption, inference consumption, latency, and uptime
- Report on customer progress against key performance indicators
- Coordinate with Product, Engineering, Customer Success, and Solutions teams
- Deliver customer training sessions and workshops
- Address and resolve customer concerns
- Support customers during escalations and service incidents
- Escalate complex issues as needed
Benefits
- Restricted Stock Units
- Health insurance
- Dental insurance
- Vision insurance
- Employer contributions to HSA accounts
- Paid parental leave
- Paid life insurance
- Short-term disability insurance
- Long-term disability insurance
- Teladoc
- 401(k) with 100% match up to 4% of salary
- Paid time off
- Paid holidays
- Cell phone reimbursement
- Tuition reimbursement
- Calm app subscription
- MetLife Legal
- Company-paid commuter benefit of $300 per month