Guide customers through initial setup and platform adoption, ensuring smooth integration with their existing GenAI workflows and infrastructure.
Work with customers to tailor solutions to their specific needs, leveraging our platform's capabilities for their unique GenAI evaluation and monitoring requirements.
Provide hands-on technical assistance as customers transition into production, ensuring seamless deployment of evaluation and observability workflows.
Serve as the primary post-sales technical point of contact, building strong relationships with customer engineering teams and technical champions.
Diagnose and resolve complex technical issues related to GenAI applications, proactively identifying areas for improvement and optimization.
Drive innovation in customer success processes by identifying and implementing AI-driven capabilities to improve efficiency and customer outcomes.
Work closely with engineering, product, and support teams to address customer needs and enhance the platform based on real-world usage patterns.
Act as the voice of the customer, gathering feedback and providing technically articulated insights to inform product enhancements.
Conduct technical training sessions and develop resources to empower customers to maximize the platform's value for their GenAI applications.

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
3+ years of experience in customer success, solutions engineering, or technical consulting role, preferably within the AI/ML or software industry.
Hands-on experience building, deploying, or working with LLM-based applications and agentic workflows using frameworks like LangChain, LangGraph, OpenAI Agents SDK, CrewAI or similar.
Strong understanding of GenAI application architectures including RAG systems, multi-agent workflows, and the challenges of building reliable AI applications.
Proficiency in Python or TypeScript, with ability to support customers in implementation, troubleshooting, and integration scenarios.
Excellent verbal and written communication skills, with ability to translate complex technical concepts for both technical and non-technical stakeholders.
Passionate about delivering exceptional customer experiences and driving long-term customer success and adoption.
Strong curiosity and initiative to continuously learn new technologies, stay ahead of GenAI trends, and proactively develop skills and expertise.
Ability to work collaboratively with cross-functional teams, including engineering, product, and customer success.

Customer Success Engineer

Key skills