Customer Success Manager, Managed Inference
$175k - $200k • San Francisco, CA - US • FullTime
Posted 18d ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Crusoe is seeking a motivated Customer Success Manager to support customers running AI inference workloads on their cloud platform. This role, within the Customer Experience organization, will help clients navigate the operational and technical challenges of deploying and scaling AI applications, from model serving and GPU utilization to production readiness. You will foster strong customer relationships, act as a liaison to technical teams, and assist clients in maximizing the value derived from Crusoe's AI and ML solutions. This is a full-time position based in the Bay Area, CA.
Responsibilities
- Build and maintain strong customer relationships, understanding their business needs and technical requirements for inference workloads.
- Provide technical guidance on implementing and optimizing cloud-based AI and ML solutions, including Kubernetes, model deployment, autoscaling, and observability.
- Conduct regular reviews and report on customer progress against KPIs, monitoring adoption, inference consumption, latency, and uptime to identify growth opportunities and risks.
- Coordinate with Product, Engineering, CS, and Solutions teams to address customer challenges and advocate for their needs regarding inference platforms and AI services.
- Deliver training sessions and workshops to customers on product and service usage and benefits.
- Address and resolve customer concerns, supporting them during escalations and service incidents, and escalating complex issues as needed.
Requirements
- 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 a customer success, technical account management, or similar role.
- Solid technical foundation in cloud computing platforms, AI, and ML technologies, with the 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, with the ability to engage technical customer teams.
- Comfortable working in a fast-paced environment with ambiguous or iterative fact-sets.
Benefits
- Industry competitive pay
- Restricted Stock Units
- Health insurance package options (HDHP and PPO)
- Vision and dental insurance
- Employer contributions to HSA accounts
- Paid Parental Leave
- Paid life insurance
- Short-term and long-term disability insurance
- Teladoc
- 401(k) with a 100% match up to 4% of salary
- Generous paid time off and holiday schedule
- Cell phone reimbursement
- Tuition reimbursement
- Subscription to the Calm app
- MetLife Legal
- Company paid commuter benefit ($300 per month)