Senior Customer Success Manager

Responsibilities

• Develop and maintain strong, long-lasting customer relationships with AI-native customers
• Own strategic relationships to help clients achieve performance, reliability, and cost optimization
• Act as a technical liaison between clients and internal technical teams
• Provide technical guidance on Kubernetes, model deployment, GPU utilization, and autoscaling
• Monitor customer adoption, inference consumption, and latency metrics to identify growth opportunities
• Partner with Product and Engineering teams to advocate for customer needs and influence roadmaps
• Deliver training sessions and workshops on product benefits and usage
• Act as a trusted advisor during customer escalations and critical production events

Requirements

• Bachelor's degree in Business, Engineering, or a related field
• 3+ years of experience supporting enterprise cloud, AI, ML, or infrastructure customers
• Strong technical foundation in cloud computing, AI, and ML technologies
• Understanding of inference workloads, model serving architectures, Kubernetes, and GPU infrastructure
• Excellent interpersonal, communication, and presentation skills
• Ability to engage with both executive stakeholders and technical engineers

Preferred Qualifications

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

Benefits

• Competitive compensation and equity packages (RSUs)
• Comprehensive health, dental, and vision insurance
• 401(k) retirement plan with up to 4% company match
• Paid parental leave and volunteer time off
• Professional development and tuition reimbursement
• Mental health and wellness support
• Daily meals allowance and commuter benefits