Job description
About the Company
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States, Canada, Estonia, Argentina & India.
We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.
Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.
Your Impact
You will drive customer retention by ensuring smooth onboarding and continued success with the Clarifai platform. Through high-touch, white-glove support, you will foster customer loyalty and advocacy. Through your customer touch points, you will identify product gaps and relay feedback to Product and Engineering teams for improvements. Your strong customer relationships will provide strategic guidance, reduce churn and increase renewals. Additionally, you will promote AI adoption by demonstrating new use cases and best practices within customer organizations.
The Opportunity
You will lead tailored onboarding sessions and provide hands-on support to ensure successful AI/ML deployments. As a proactive problem solver, you will assist with technical challenges and integration efforts, acting as a trusted advisor to help customers meet their AI success milestones.
You will conduct regular account audits and health checks to address potential issues early, and deliver best practices for AI model deployment, data pipeline integration, and performance optimization.
By collaborating with Product and Engineering teams, you will relay customer feedback to drive improvements to drive opportunities for the company.. You will be responsible for maintaining high responsiveness, including after-hours support, and drive retention through regular touchpoints and semi-annual QBRs.
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
Great to Have
- 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
