Senior AI Inference Customer Success Manager

Crusoe; Denver (CO); On-site; USD 190,000 - 215,000; Full time

Benefits offered by this job

Competitive compensation and equity

Restricted Stock Units

Paid time off

Health, dental & vision insurance

401(k) with company match

Parental leave

Professional development & tuition

Maternity/paternity support

Commuter benefits

Job summary

Crusoe is seeking a Senior Customer Success Manager to lead strategic engagements with enterprise customers deploying production AI workloads. You will bridge customers and our technical teams, ensuring successful adoption of cloud and ML solutions, with a focus on inference platforms and GPU infrastructure.

You will guide customers through deployment, observability, and optimization, while driving retention and growth.

Qualifications

• 3+ years of experience supporting enterprise cloud, AI, ML, developer platform, or infrastructure customers.
• Experience managing strategic accounts running production AI workloads is strongly preferred.
• Strong technical foundation in cloud computing platforms, AI, and ML technologies.
• Excellent interpersonal, communication, and presentation skills.
• Ability to engage with executive stakeholders and technical teams across organization levels.

Responsibilities

• Develop and maintain strong, long‑lasting customer relationships, understanding business needs and technical requirements.
• Own strategic relationships with AI-native customers deploying production inference workloads.
• Coordinate with Product, Engineering, CS, and Solutions teams to advocate for customer needs.
• Provide technical guidance and support for cloud‑based AI/ML solutions including Kubernetes.

Skills

Customer success

Enterprise cloud

AI/ML

Kubernetes

Model serving

Stakeholder management

Education

Bachelor's degree in Business, Engineering, or related field

Tools

Kubernetes

APIs

Job description

Crusoe is seeking a Senior Customer Success Manager to lead strategic engagements with enterprise customers deploying production AI workloads. You will bridge customers and our technical teams, ensuring successful adoption of cloud and ML solutions, with a focus on inference platforms and GPU infrastructure.

You will guide customers through deployment, observability, and optimization, while driving retention and growth.