Senior Customer Success Manager, Managed Inference

The role

This person will manage strategic relationships with AI-native customers to help them achieve performance, reliability, and cost optimization objectives. They will provide technical guidance on cloud-based AI and ML solutions and act as a liaison between clients and technical teams.

What you will do

• Develop and maintain strong, long-lasting customer relationships.
• Own strategic relationships with AI-native customers deploying production inference workloads.
• Work on case studies to highlight customer successes.
• Act as the bridge between clients and the technical team.
• Provide technical guidance and support in the implementation and optimization of cloud-based AI and ML solutions including Kubernetes solutions.
• Partner with customers on model deployment strategies, inference optimization, GPU utilization, autoscaling, throughput management, observability, and production readiness best practices.
• Conduct regular reviews and report on customer progress.
• Monitor customer adoption, inference consumption trends, latency metrics, uptime, capacity utilization, and business outcomes.
• Coordinate with product and engineering teams to define customer journeys, challenges, and opportunities.
• Partner with Product, Engineering, CS, and Solutions teams to advocate for customer needs and influence roadmap priorities.

Required qualifications

• Bachelor’s degree in Business, Engineering, or a related field.
• Proven experience in customer success, technical account management, or a similar role in a technology-driven environment.
• 3+ years of experience supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers.
• Strong technical foundation in cloud computing platforms, AI, and ML technologies.
• Strong understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, GPU infrastructure, and AI application deployment patterns.
• Excellent interpersonal, communication, and presentation skills.
• Demonstrated ability to build relationships at all levels within an organization.
• Ability to engage effectively with both executive stakeholders and deeply technical customer teams.
• Comfortable working in a fast-paced environment with ambiguous and/or iterative fact-sets.

Nice to have

• Advanced degree
• Experience managing strategic accounts running production AI workloads
• Familiarity with LLMs, RAG architectures, agentic applications, model performance metrics, and inference optimization concepts

Benefits

• Competitive compensation and equity packages
• Restricted Stock Units
• Paid time off, paid holidays & leave of absence programs
• Comprehensive health, dental & vision insurance
• Employer contributions to HSA account
• Paid parental leave
• Paid life insurance, short-term and long-term disability
• Professional development & tuition reimbursement
• Mental health & wellness support
• Commuter benefits (parking & transit)
• Cell phone stipend
• 401(k) Retirement plan with company match up to 4% of salary

About the company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power AI workloads. They use an energy-first approach to solve the demand for AI compute and power bottlenecks.