$175,000 – $200,000
Listed on Crusoe’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role supports enterprise customers deploying AI inference workloads on Crusoe's infrastructure platform, bridging technical and business needs while helping optimize model serving and GPU utilization. It suits someone with cloud platform experience and a solid understanding of AI/ML technologies who enjoys hands-on customer engagement and cross-team coordination.
Our summary, not Crusoe’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in Business, Engineering, or related field
- 2+ years in customer success or technical account management for enterprise cloud/AI/ML/infrastructure customers
- Technical foundation in cloud computing, AI, and ML with ability to communicate complex concepts simply
- Working understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, and GPU infrastructure
- Excellent interpersonal, communication, and presentation skills
Nice to have
- Familiarity with LLMs, RAG architectures, and agentic applications
- Experience with inference optimization concepts
- Background supporting Managed Inference or GPU-based inference platforms
- Experience contributing to customer case studies or advocacy programs