Senior Customer Success Manager (Managed Inference)

Join our team as a Senior Customer Success Manager, where you will play a crucial role in helping 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 to advocate for customer needs. This is a full-time position with 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.
• 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
• Relationship Building: Demonstrated ability to build relationships at all levels within an organization
• 3+ years of experience supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers
• Ability to engage effectively with both executive stakeholders and deeply technical customer teams, including AI Engineers, ML Engineers, Platform Engineers, and Infrastructure leaders
• 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
• Educational Background: Bachelor’s degree in Business, Engineering, or a related field. Advanced degree preferred
• Experience managing strategic accounts running production AI workloads is strongly preferred
• Technical Proficiency: Strong technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms
• Professional Experience: Proven experience in customer success, technical account management, or a similar role in a technology-driven environment
• Interpersonal Skills: Excellent interpersonal, communication, and presentation skills
• Strong understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, GPU infrastructure, and AI application deployment patterns