Customer Success Manager

Who you are

• 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 in a customer success, technical account management, or similar role
• Solid technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms
• Working understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, and GPU infrastructure
• Excellent interpersonal, communication, and presentation skills, with the ability to engage technical customer teams including AI, ML, and Platform Engineers
• Comfortable working in a fast-paced environment with ambiguous and/or iterative fact-sets
• Familiarity with LLMs, RAG architectures, agentic applications, and inference optimization concepts
• Experience supporting Managed Inference, model serving platforms, or GPU-based inference environments
• Experience contributing to customer case studies or advocacy programs

What the job involves

• We are seeking a motivated Customer Success Manager to support customers running AI inference workloads on Crusoe's cloud platform
• Sitting within the Customer Experience organization, this role helps clients navigate the operational and technical challenges of deploying and scaling AI applications — from model serving and GPU utilization to production readiness
• You will support customer relationships, act as a bridge to our technical teams, and help clients maximize the value of our AI and ML solutions. This is a full-time position based in the Bay Area, CA
• Build and maintain strong customer relationships, understanding their business needs and technical requirements as they deploy inference workloads
• Provide technical guidance to customers implementing and optimizing our cloud-based AI and ML solutions, including Kubernetes, model deployment, autoscaling, and observability
• Conduct regular reviews and report on customer progress against key performance indicators, monitoring adoption, inference consumption, latency, and uptime to surface growth opportunities and risks
• Coordinate with Product, Engineering, CS, and Solutions teams to surface customer challenges and advocate for customer needs on inference platforms and AI services
• Deliver training sessions and workshops to customers on the use and benefits of our products and services
• Address and resolve customer concerns, supporting customers during escalations and service incidents and escalating complex issues as needed

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life's challenges