Jobs at LangChain

Build and maintain backend services and APIs powering LangSmith’s AI observability, tracing, monitoring, and evaluation workflows. Responsibilities include architectural design, high-volume data storage and query optimization, reliability engineering, testing, monitoring, alerting, production troubleshooting, root-cause analysis, documentation, and cross-functional feature delivery.

Lead architecture and implementation of LangSmith platform features across Go, Python, and TypeScript. Collaborate with product, design, customers, and internal stakeholders to deliver scalable observability and evaluation capabilities. Write clean, tested code, design high-performance APIs, work with Postgres and Redis, and drive rapid project execution. The role requires strong fullstack engineering, communication, ownership, and customer engagement skills.

Own end-to-end test strategy for LangGraph Cloud and LangSmith across APIs, services, UI, data, and infrastructure. Build ephemeral Kubernetes test environments, improve CI/CD reliability and speed, create observability and performance testing workflows, establish quality baselines, and support incident remediation through regression tests and runbooks. The role requires Python and pytest expertise, API testing experience, and collaboration across infrastructure, backend, and frontend teams.

Drive adoption of LangChain’s AI products by sourcing, qualifying, and closing outbound mid-market deals. Build relationships with technical teams, help prospects evaluate solutions, and collaborate with sales, engineering, and customer success teams. The role requires curiosity about GenAI technology, strong execution in a fast-paced environment, and resourcefulness in advancing customer opportunities.

Leads hands-on development of production AI agents and workflows, including architecture, evaluation, monitoring, deployment, and performance optimization. Mentors engineers, sets technical standards, translates customer and stakeholder needs into technical plans, and drives tooling and process improvements. Collaborates across business functions to identify automation opportunities and contributes to the LangChain and LangGraph open-source ecosystems.

Drive adoption of LangChain products by sourcing, qualifying, and closing outbound mid-market deals. Build relationships with technical teams, help customers discover and evaluate AI solutions, and support their adoption. Work collaboratively with sales, engineering, and customer success teams in a fast-paced environment while developing expertise in generative AI technology and customer businesses.

Leads and scales LangChain’s SDR team, owning performance, coaching, recruiting, pipeline generation, qualification playbooks, and productivity systems. Partners with sales, marketing, and RevOps on account targeting, territories, inbound conversion, and pipeline goals. Uses funnel metrics and conversion analysis to improve team effectiveness while supporting technical products and developer audiences.

Build and own LangChain’s React component library and design system. Develop accessible, reusable UI components; translate design tokens and interaction patterns into code; create tooling for theming, versioning, testing, visual regression, and component discovery; and optimize build performance, bundling, dependency management, and package versioning. Collaborate closely with designers, product engineers, and platform teams to maintain a consistent, high-quality frontend foundation.

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.

Drive adoption of LangChain products by supporting the full sales cycle from outreach through close. Build relationships with technical prospects and customers, understand their needs, prospect strategically across SMB, mid-market, and small-enterprise accounts, and source, qualify, and close outbound deals. The role requires urgency, curiosity about GenAI technology, strong follow-through, resourcefulness, and collaboration with sales, engineering, and customer success teams.

Own and manage the sales cycle, acting as a trusted advisor to customers, driving proof-of-concept efforts, and building relationships to support post-sale success.

Develop and maintain benchmarks, run experiments across models, prompting, tools, and orchestration, and implement fine-tuning or post-training improvements. Analyze production agent failures, optimize for cost/latency/reliability, and ship measurable production improvements while guiding ML roadmap and mentoring teammates.

Work closely with clients to deploy LLM applications, collaborate on app development, present technical demos, and lead trainings while driving product improvements based on client feedback.

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

Develop and enhance user-facing features for an LLM observability platform using React and TypeScript. Build reusable components and front-end libraries, translate designs into performant UI code, optimize cross-device/browser performance, and collaborate with backend engineers and designers to improve usability.

Build and enhance LangSmith frontend features: implement user-facing UI with React and TypeScript, create reusable components, translate designs into high-quality code, optimize performance, and collaborate with backend engineers and designers to improve observability and evaluation workflows for LLM applications.

Lead regional revenue and pipeline execution for enterprise sales. Manage, coach, and hire quota-carrying Account Executives; drive territory planning, forecasting, deal strategy, and cross-functional alignment to close complex technical deals and scale repeatable GTM motions.

The Renewals Account Manager will oversee customer renewals and expansions, ensuring satisfaction and retention through relationship-building and managing renewal processes.

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.