Jobs at LangChain

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.

Leads and scales LangChain’s SDR team by managing performance, coaching, recruiting, pipeline generation, and attainment. Builds inbound and outbound qualification playbooks, partners with sales, marketing, and RevOps, implements productivity systems, and uses funnel metrics to improve SDR effectiveness. The role requires experience selling technical products to developer audiences and operating in a rapidly evolving environment.

Lead architecture and implementation of LangSmith platform features across Go, Python, and TypeScript. Collaborate with product and design teams, mentor engineers, drive project timelines, and deliver clean, tested software. Build and scale APIs and data-intensive applications using backend and frontend technologies, PostgreSQL, and Redis while engaging with enterprise customers and internal stakeholders.

Administer LangChain’s SaaS, identity, access, MDM, and endpoint environments. Manage Okta, RBAC, provisioning, hardware lifecycle, licenses, configurations, and employee support across hardware, software, networking, and SaaS tools. Develop API integrations, scripts, workflows, and automation to reduce manual work. Build tooling, playbooks, documentation, and knowledge for an AI ITSM agent. Support a growing startup environment with hands-on troubleshooting and scalable IT operations.

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.

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.

Owns end-to-end employee onboarding in San Francisco, including pre-boarding, compliance documentation, background checks, account setup, cohort onboarding, 45/90-day check-ins, buddy programs, employee support, and process documentation. The role also builds scalable onboarding infrastructure, supports global and international hires, maintains knowledge resources, and uses AI automation to improve People Operations efficiency.

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.

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.

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

Work directly with customers to co-architect, build, deploy, and operate production AI agents. Lead pre-sales technical evaluations and POCs, run demos and workshops, advise on architecture and best practices, contribute reusable patterns and occasional code, and travel to customer sites to support deployments.

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 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.

Create industry and use-case solution narratives that map LangChain's platform to enterprise buyer needs. Develop sales enablement, campaign assets, and repeatable sales plays; partner with sales, product, field marketing, and customer teams to drive pipeline and enable complex buying committees for production-ready AI agents.

Design developer-focused product experiences across LangChain's platform. Conduct user research with developer teams, own end-to-end feature design from concept to shipped UI, solve complex interaction problems for dense technical data, and collaborate closely with product and engineering to iterate quickly.

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.

Provide commercial legal support across sales, partnerships, vendor, and operational contracts. Draft, review, and negotiate MSAs, DPAs, security addenda, vendor agreements, and partner deals. Advise cross-functional teams on privacy, security, IP, AI/LLM usage, and risk. Build contracting templates, playbooks, intake workflows, and help implement Ironclad to scale legal operations.

Partner Engineer builds reference architectures, integrations, and enablement for cloud providers and systems integrators. Owns partner certification, workshops, delivery playbooks, and joint technical roadmaps. Acts as technical evangelist, escalation point for partner deployments, and relays partner feedback to product and engineering.

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.

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