Senior Customer Success Manager

Responsibilities

• Develop and maintain strong, long-lasting customer relationships, understanding their business needs and technical requirements.
• Own strategic relationships with AI-native customers deploying production inference workloads to achieve performance, reliability, and cost optimization.
• Act as a technical liaison between clients and internal technical teams to ensure alignment of goals.
• Provide technical guidance on cloud-based AI/ML solutions, including Kubernetes, model deployment, and GPU utilization.
• Monitor customer adoption, inference consumption trends, and latency metrics to identify growth opportunities.
• Partner with Product and Engineering teams to advocate for customer needs and influence roadmap priorities.
• Deliver training sessions and workshops to customers on product benefits and usage.
• Act as a trusted advisor during customer escalations and critical production events.

Requirements

• Bachelor’s degree in Business, Engineering, or a related field
• 3+ years of experience supporting enterprise cloud, AI, machine learning, or infrastructure customers
• Strong technical foundation in cloud computing, AI, and ML technologies
• Understanding of inference workloads, model serving architectures, Kubernetes, containers, and APIs
• Excellent interpersonal, communication, and presentation skills
• Ability to engage with both executive stakeholders and technical engineers

Preferred Qualifications

• Advanced degree
• Experience managing strategic accounts running production AI workloads
• Familiarity with LLMs, RAG architectures, agentic applications, and inference optimization

Benefits

• Competitive compensation and equity packages (RSUs)
• Comprehensive health, dental, and vision insurance
• 401(k) retirement plan with up to 4% company match
• Paid parental leave and volunteer time off
• Professional development and tuition reimbursement
• Daily meals allowance and cell phone stipend

About the Company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power the world's most ambitious AI workloads using an energy-first approach.