The opportunity
Cloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.
What you'll do
Build reference architectures and integration patterns that support the: technical side of co-sell, from marketplace listings to joint solution briefs
Partner with cloud field and partner teams on solutioning for named accounts.
Keep our marketplace presence and co-sell technical assets current as: LangChain, LangGraph, and LangSmith evolve
Build and run LangChain's services partner enablement program from the ground: up, including tiered certification tracks, hands-on workshops, delivery playbooks, and implementation guides based on our agent development lifecycle (ADLC) framework
Run LangChain's partner certification program in the region: deliver certification workshops, review certification projects, and guide partner engineers through the program.
Work with SI centers of excellence (CoEs) to develop repeatable joint: solutions and reference architectures, so an SI's own teams can scope, build, and deploy agentic AI independently instead of pulling in LangChain engineering for every deal
What they're looking for
- Track record of partnering with systems integrators, cloud providers, or: technology and ISV partners to solve complex technical problems, from initial solution design through delivery
- Experience building enablement programs, such as certifications, workshops,: or delivery playbooks, that let a partner's technical team operate independently instead of depending on you for every deal
- Comfortable operating across engineering, partnerships, and sales at the same time
- Strong presentation and technical communication skills, able to translate: between technical and business stakeholders, including C-suite executives
- Hands-on experience building with LLM frameworks such as langchain,: langgraph, or similar, including RAG patterns and agent architecture
- Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results
- Strong Python skills
- Working knowledge of GCP and/or Azure cloud services.
