Customer Success Manager, Managed Inference

What you'll do

• Build customer relationships and guide customers on cloud-based AI/ML solutions, including Kubernetes, model deployment, autoscaling, and observability.
• Review customer progress and performance indicators, including adoption, inference consumption, latency, and uptime; identify risks and growth opportunities.
• Coordinate customer feedback and issue resolution across internal teams, deliver training, and support escalations and service incidents.

What they ask for

• 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 customer success, technical account management, or a similar role.
• Technical foundation in cloud computing, AI, and ML; understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, and GPU infrastructure.
• Strong interpersonal, communication, and presentation skills; ability to communicate complex concepts simply.

Nice to have

• Familiarity with LLMs, RAG architectures, agentic applications, or inference optimization.
• Experience with Managed Inference, model serving platforms, GPU-based inference environments, or customer advocacy.

Pay

up to $175,000 – $200,000 OTE (total pay)

Tools

Kubernetes, LLMs, RAG

AI focus

Supports customers deploying, optimizing, and scaling AI inference workloads, including model serving, GPU utilization, and production readiness.