Lead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues as they begin building on the LangSmith platform
Create and deliver live, interactive training workshops to help customer teams build foundational product knowledge and agent engineering best practices
Develop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementations
Act as the voice of the new user, synthesizing feedback and identifying friction points to inform the product roadmap in collaboration with Product and Engineering teams
Partner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers, demonstrating the value and ease of getting started with LangChain
Stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials

5+ years of experience in a technical, customer-facing role such as Enablement, Customer Success Engineer, Developer Advocate, or similar
Proven software engineering experience with 2+ years focused on AI/ML applications or agents, including strong proficiency in Python and a deep, practical understanding of the modern AI/LLM stack
Passion for educating users on technical topics and deep empathy for the developer experience
Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides
Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders
Capacity to operate independently in a fast-paced, ambiguous environment and manage multiple projects simultaneously
Ability and willingness to travel up to 20% of time for customer engagements

Customer Engineer

Key skills