Responsibilities

We are seeking a highly motivated and skilled Senior Customer Success Manager with a strong background in customer engagement and a deep technical understanding of cloud computing, AI, and ML. 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. This role is pivotal in ensuring that our clients maximize the value of our solutions, guiding them through the technical complexities and empowering them with the tools and knowledge to achieve their business and sustainability goals. This is a full-time position.
What You’ll Be Working On:
Customer Relationship Management: 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, helping them achieve performance, reliability, latency, scalability, and cost optimization objectives.
Customer Advocacy: Work on case studies to highlight customer successes.
Technical Liaison: Act as the bridge between our clients and our technical team, ensuring clear communication and alignment of goals.
Technical Guidance and Support: Provide technical guidance and support to customers in the implementation and optimization of our cloud-based AI and ML solutions including Kubernetes solutions.
Partner with customers on model deployment strategies, inference optimization, GPU utilization, autoscaling, throughput management, observability, and production readiness best practices.
Performance Monitoring and Reporting: Conduct regular reviews and report on customer progress, ensuring the achievement of key performance indicators and return on investment.
Monitor customer adoption, inference consumption trends, latency metrics, uptime, capacity utilization, and business outcomes to identify growth opportunities and potential risks.
Customer Journey Coordination: Coordinate with the product and engineering teams to define customer journeys, challenges, and opportunities.
Partner closely with Product, Engineering, CS, and Solutions teams to advocate for customer needs and influence roadmap priorities related to inference platforms and AI services.

Customer Success Manager, Managed Inference at Crusoe · LumiJobs

Customer Success Manager, Managed Inference

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Crusoe

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