Crusoe designs, builds, and operates energy-first AI infrastructure. Its offerings include Crusoe Cloud for GPU-based training, fine-tuning, inference, and managed services, alongside AI-optimized data centers and energy infrastructure.

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Skills

Ai Api Autoscaling Cloud Computing Container Customer Success Gpu Inference Kubernetes Llm Machine-Learning Mlops Model Serving Observability Rag

Candidate Availability

Onsite · San Francisco · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

Support customers running AI inference workloads on Crusoe's cloud platform, helping them deploy and scale AI applications, navigate model serving and GPU utilization, achieve production readiness, use Kubernetes and autoscaling, monitor observability, 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