Senior Customer Success Manager, Managed Inference
Crusoe is an AI infrastructure and cloud computing company. It provides GPU cloud capacity, managed AI services, inference, fine-tuning, data centers, and energy infrastructure for AI developers and enterprise customers.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Crusoe, Inc
Crusoe designs, builds, and operates energy-first AI infrastructure, including data centers, GPU cloud computing, and modular AI factories. Crusoe Cloud provides GPU clusters, managed Kubernetes and Slurm, storage, networking, observability, managed inference, serverless fine-tuning, and model deployment through Crusoe Intelligence Foundry. Its customers include AI startups, enterprises, and organizations developing training, inference, analytics, and other compute-intensive workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own strategic relationships with customers running production AI inference workloads and help them achieve performance, reliability, latency, scalability, and cost objectives. Guide model deployment, inference optimization, GPU utilization, autoscaling, observability, and production readiness while monitoring adoption and business outcomes. Coordinate with Product and Engineering, train customers, and advise during escalations and production events.
Requirements
- Bachelor’s degree in Business, Engineering, or a related field.
- Experience in customer success, technical account management, or a similar technology-driven role.
- 3+ years supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers.
- Experience managing strategic accounts running production AI workloads.
- Strong foundation in cloud computing, AI, and ML technologies.
- Understanding of inference workloads, model serving, Kubernetes, containers, APIs, GPU infrastructure, and AI application deployment.
- Familiarity with LLMs, RAG architectures, agentic applications, model performance metrics, and inference optimization.
- Excellent interpersonal, communication, and presentation skills.
- Ability to build relationships across organizational levels and engage executive and technical stakeholders.
- Ability to work in a fast-paced environment with ambiguous and iterative fact-sets.
Responsibilities
- Develop and maintain strong customer relationships.
- Own strategic relationships with AI-native customers deploying production inference workloads.
- Provide technical guidance on cloud-based AI and ML solutions, including Kubernetes.
- Partner with customers on model deployment, inference optimization, GPU utilization, autoscaling, observability, and production readiness.
- Monitor adoption, inference consumption, latency, uptime, capacity utilization, and business outcomes.
- Coordinate customer journeys with Product and Engineering.
- Advocate for customer needs and influence roadmap priorities.
- Deliver customer training sessions and workshops.
- Address customer concerns and advise during escalations, incidents, and production events.
Benefits
- Restricted Stock Units
- Paid time off
- Paid holidays
- Leave of absence programs
- Comprehensive health, dental, and vision insurance
- Employer HSA contributions
- Paid parental leave
- Paid life insurance
- Short-term and long-term disability insurance
- Professional development
- Tuition reimbursement
- Mental health and wellness support
- Commuter benefits
- Cell phone stipend
- 401(k) with company match up to 4% of salary
- Volunteer time off
- Global travel insurance and emergency assistance
- Daily meals allowance
- Location-specific perks and programs
