Jobs at LangChain

Build and operate the LangSmith Deployments runtime for long-running AI agents: design distributed queue/worker systems, own state persistence and job claiming, implement resumable streaming, instrument production systems, participate in on-call and incident response, produce system documentation, and contribute to open-source LangGraph.

The role involves designing and optimizing a storage layer for AI observability, coding in Rust, and ensuring efficient database performance.

Qualify inbound and outbound prospects via phone, email, and LinkedIn, hand off opportunities to Account Executives, capture prospect insights to inform sales and product, and experiment with channels and LangChain-powered agents to improve outreach and conversion.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

Lead end-to-end monetization programs and operationalize corporate revenue strategies. Design cross-functional systems and data pathways linking product usage, billing, and ERP. Audit and optimize commercial architecture to eliminate revenue leakage, establish governance, and align Product, Finance, Engineering, and GTM for profitable, scalable monetization.

Lead and scale LangChain's content practice: define strategy and roadmap, hire and mentor a content team, own flagship initiatives and blog performance, write and edit key content, expand SEO/AEO efforts, build editorial standards and workflows, collaborate cross-functionally, and measure/optimize content impact.

Lead a small systems team building SmithDB: write and review Rust production code, make architecture decisions for storage and query execution, drive performance profiling and fixes, deploy and harden distributed Kubernetes services, integrate cloud object stores, build observability, and manage hiring, mentorship, and the technical roadmap.

The Product Marketing Manager will lead go-to-market strategies for LangSmith products, focusing on messaging, sales enablement, and product launches in a fast-paced AI infrastructure environment.

As Financial Controller, lead accounting and financial reporting. Manage audits, close processes, accounts payable/receivable, and financial systems. Collaborate on budgeting and compliance.

The Customer Marketing Manager will oversee customer storytelling, develop reference programs, manage customer involvement in events, and create assets that drive sales and shape marketing narratives.

Write and maintain developer-focused product documentation (user guides, API docs, specs). Collaborate with engineering, product, and support teams to ensure clarity and accuracy, improve documentation standards and processes, review content, and continuously update docs as products evolve.

Build and ship production-grade autonomous customer agents using LangChain/LangGraph to deflect support cases and automate onboarding. Own technical roadmap, design agentic architectures, dogfood the stack, and deliver end-to-end AI-native onboarding and self-service systems.

Implement AI powered workflows and applications, design novel AI architectures, and build evaluation pipelines for internal and customer-facing products.

The People Partner will embed with teams to drive business outcomes, proactively address organizational challenges, and implement AI-driven people solutions.

The Head of Narratives will lead LangChain's content, brand, social, and design strategies, ensuring consistent messaging and audience engagement while managing a creative team.

The Customer Growth Manager will manage customer lifecycle, drive adoption and retention, identify churn risks, and pursue expansion opportunities while collaborating with various teams.

Design scalable AI infrastructure, build agent applications, engage with enterprise customers for requirements, and optimize deployment strategies. Work with cross-functional teams to implement solutions.

The GTM Engineer will architect customer agents, drive case deflection, and enhance onboarding experiences using AI-native systems and LangChain tools.

Lead technical support for customers, diagnose issues in LLM applications, work with engineering to resolve bugs, and mentor support engineers.

The Product Manager will own the roadmap for LangSmith, working with customers and engineers to build features that enhance the observability and deployment of AI systems. The role requires a technical background and experience in product management.