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Senior Customer Success Manager (Managed Inference)
Crusoe Energy Systems · San Francisco, United States
About The Role
Join our team as a Senior Customer Success Manager, where you will play a crucial role in ensuring our clients maximize the value of our AI and ML solutions. You will develop and maintain strong customer relationships, provide technical guidance and support, monitor customer progress, and coordinate with various teams. This is a full-time position that offers comprehensive health benefits, paid time off, a 401(k) matching program, and resources for mental wellness.
- Develop and maintain strong, long-lasting customer relationships, understanding their business needs and technical requirements.
- Act as the bridge between clients and the technical team, ensuring clear communication and alignment of goals, and providing technical guidance and support.
- Monitor customer adoption, inference consumption trends, latency metrics, uptime, capacity utilization, and business outcomes to identify growth opportunities and potential risks.
- The ideal candidate has experience supporting customers running production AI inference workloads and understands the operational, technical, and business challenges associated with deploying and scaling AI applications
- Experience supporting Managed Inference, model serving platforms, LLM deployments, AI agents, or GPU-based inference environments is highly preferred
- Familiarity with LLMs, RAG architectures, agentic applications, model performance metrics, and inference optimization concepts is highly desirable
- Adaptability: Comfortable working in a fast-paced environment with ambiguous and/or iterative fact-sets
- Ability to engage effectively with both executive stakeholders and deeply technical customer teams, including AI Engineers, ML Engineers, Platform Engineers, and Infrastructure leaders
- Relationship Building: Demonstrated ability to build relationships at all levels within an organization
- Professional Experience: Proven experience in customer success, technical account management, or a similar role in a technology-driven environment
- Technical Proficiency: Strong technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms
- 3+ years of experience supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers
- Experience managing strategic accounts running production AI workloads is strongly preferred
- Educational Background: Bachelor’s degree in Business, Engineering, or a related field. Advanced degree preferred
- Strong understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, GPU infrastructure, and AI application deployment patterns
- Interpersonal Skills: Excellent interpersonal, communication, and presentation skills
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