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Customer Success Manager (Managed Inference)

Crusoe Energy Systems

RemoteFull timeMid level$175k – $200kPosted today
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About the role

  • 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- Working understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, and GPU infrastructure
  • Comfortable working in a fast-paced environment with ambiguous and/or iterative fact-sets
  • Bachelor’s degree in Business, Engineering, or a related field
  • Solid technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms
  • 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
  • Excellent interpersonal, communication, and presentation skills, with the ability to engage technical customer teams including AI, ML, and Platform Engineers
  • 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

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