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The Engineering Manager will lead the team building the LangSmith observability platform, mentoring engineers, defining technical directions, and collaborating with product teams to develop reliable AI systems.

Lead and build the deployed engineering team at LangChain, driving customer engagement, technical strategy, and revenue accountability through effective team management and collaboration with sales.

Lead end-to-end GTM programs that turn strategy into repeatable launches, enablement, and tooling for Sales. Drive cross-functional alignment, measure initiative impact, build launch readiness frameworks, and operationalize improvements to boost rep productivity, pipeline conversion, forecasting accuracy, and retention.

Own the full enterprise sales cycle for LangChain: qualify and close deals, run proofs-of-concept with sales engineers, negotiate contracts, build long-term customer relationships, collaborate with product/engineering/customer success, and help define the sales playbook for GenAI adoption.

Own the full enterprise sales cycle for LangChain products: qualify leads, run POCs with sales engineers, close deals, negotiate contracts, and partner with product, engineering, and customer success to drive adoption and inform roadmap.

The Deployed Engineer works with customers to design, build, and deploy production AI agents, advises on architecture, and runs technical demos and workshops.

The Deployed Engineer will co-architect and build production AI agents, engage with customers on POCs, and provide post-sale guidance on architecture and best practices.

The Senior Fullstack Engineer will build foundational product features and integrations to drive user acquisition, optimization, and monetization at LangChain, collaborating with various teams for growth.

The Engagement Manager will manage multiple technical engagements, ensuring successful project delivery for enterprise customers while coordinating cross-functional teams and managing customer relationships.

Maintain and improve the LangChain Python package, enhance documentation, assist users, and build example applications.