Crusoe
Senior Customer Success Manager, Managed Inference
$190K–$215K
San Francisco, CA - US +1 · On-site · Manager · Full-time · Posted Jul 7, 2026
- Location
- San Francisco, CA - US
New York, NY - US - Experience
- 3+ years supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers; experience in customer success, technical account management, or a similar role is also requested, with no duration specified.
- Education
- Bachelor’s degree in Business, Engineering, or a related field; advanced degree preferred.
About the job
Manages strategic customer relationships for production AI inference workloads, guiding customers on deployment, optimization, reliability, and business outcomes while coordinating with internal teams.
What you'll do
- Advise customers on AI inference deployment and optimization, including model serving, GPU utilization, autoscaling, observability, and production readiness.
- Monitor customer adoption, performance, consumption, and business outcomes; conduct reviews and identify risks and growth opportunities.
- Coordinate with Product, Engineering, Customer Success, and Solutions teams to resolve issues, advocate for customer needs, and improve customer journeys.
What they ask for
- 3+ years supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers.
- Experience in customer success, technical account management, or a similar role in a technology-driven environment.
- Strong foundation in cloud computing, AI, and ML, including inference workloads, model serving, Kubernetes, containers, APIs, and GPU infrastructure.
- Bachelor’s degree in Business, Engineering, or a related field.
Nice to have
- Experience managing strategic accounts running production AI workloads.
- Experience with Managed Inference, model serving platforms, LLM deployments, AI agents, or GPU-based inference environments.
Pay
up to $190,000 – $215,000 USD total pay (OTE)
Tools
Kubernetes, containers, APIs, GPU infrastructure, LLMs, RAG architectures
AI focus
Customer success for production AI inference workloads, including model deployment and serving, inference optimization, AI agents, and GPU-based infrastructure.
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