Customer Success Engineer

Summary

Join Clarifai, a leading AI platform company, as a Customer Success Manager and drive customer retention by ensuring smooth onboarding and continued success with the Clarifai platform. You will provide high-touch support, foster customer loyalty, and identify product gaps. Your strong customer relationships will provide strategic guidance, reduce churn, and increase renewals. You will lead tailored onboarding sessions, provide hands-on support for AI/ML deployments, and conduct regular account audits. By collaborating with Product and Engineering teams, you will relay customer feedback to drive improvements. You will maintain high responsiveness, including after-hours support, and drive retention through regular touchpoints and semi-annual QBRs. This role requires a strong technical background and excellent communication skills.

Requirements

• 3+ years in a customer-facing technical role (e.g., Customer Success Engineer, Solutions Engineer, Solutions Architect, or Technical Consultant)
• Technical experience within the AI, machine learning, or computer vision industry
• Proficiency in Python and experience with RESTful APIs
• Experience integrating and deploying AI/ML models in customer environments
• Strong problem-solving abilities with a proactive, hands-on approach
• Strong communication skills, capable of explaining complex technical concepts to technical and non-technical stakeholders

Responsibilities

• Drive customer retention by ensuring smooth onboarding and continued success with the Clarifai platform
• Foster customer loyalty and advocacy through high-touch, white-glove support
• Identify product gaps and relay feedback to Product and Engineering teams for improvements
• Provide strategic guidance, reduce churn and increase renewals through strong customer relationships
• Promote AI adoption by demonstrating new use cases and best practices within customer organizations
• Lead tailored onboarding sessions and provide hands-on support to ensure successful AI/ML deployments
• Assist with technical challenges and integration efforts, acting as a trusted advisor to help customers meet their AI success milestones
• Conduct regular account audits and health checks to address potential issues early
• Deliver best practices for AI model deployment, data pipeline integration, and performance optimization
• Relay customer feedback to Product and Engineering teams to drive improvements and opportunities for the company
• Maintain high responsiveness, including after-hours support
• Drive retention through regular touchpoints and semi-annual QBRs

Preferred Qualifications

• Experience with cloud infrastructures (AWS, GCP, Azure)
• Familiarity with tools like Docker, Kubernetes, or Streamlit for AI/ML applications
• Previous experience in a customer success role, particularly in an AI-focused company
• Prior experience working with sales teams to identify upsell opportunities