San Francisco, CA
Agent engineering platform for AI developers
LangChain provides open-source frameworks like LangChain and LangGraph, plus the LangSmith platform for observability, evaluation, and deployment of reliable AI agents. It serves developers and AI teams at startups and enterprises, such as Uber, LinkedIn, and Fortune 500 companies. This infrastructure enables production-ready agentic applications by connecting LLMs to data, APIs, and tools with control, debugging, and scaling capabilities.
Account Executive owning full sales cycle for LangChain's AI agent platform targeting enterprises in North Central region. Requires 5+ years enterprise software sales experience, technical acumen, and passion for GenAI.
Design intuitive interfaces for developers building AI agents with LangChain's platform. Own full design process from research through shipped features, focusing on complex workflows like debugging, evaluation, and observability.
Work directly with customers to co-build, deploy, and operate production AI agents using LangChain tools. Own technical pre-sales wins through POCs and evaluations, provide post-sale architecture advice, and contribute reusable patterns while traveling 40% to customer sites. Requires 3+ years technical experience, strong Python/JS fundamentals, and hands-on LLM application design.
Own and optimize LangChain's end-to-end marketing technology stack, campaign operations, tracking, and data flows. Build AI-powered automations and workflows while growing into strategic ABM and PLG initiatives. Requires 8-10 years marketing ops experience, systems thinking, and hands-on AI tool building.
Drive go-to-market for LangChain's LangSmith Fleet agent platform and build solutions marketing for enterprise AI adoption in key industries. Develop positioning, messaging, content, campaigns, and sales enablement for technical and non-technical audiences across sales-led and PLG motions.
Build and scale IT infrastructure, automation, Mac fleet management, identity/security, and SaaS administration for a rapidly growing AI company. Requires 4+ years IT engineering experience, strong scripting/automation skills, Okta, Terraform, and modern collaboration tools.
Design and run the GTM operating system for Sales, owning end-to-end program management for strategic initiatives across Sales, RevOps, Marketing, Product, and Engineering. Translate strategy into repeatable launches, field enablement, feedback loops, and measurable productivity improvements.
Content Lead responsible for building and scaling LangChain's content practice as a player/coach. Define content strategy and roadmap, lead flagship initiatives like the State of Agents report, write/edit high-impact technical content, drive SEO/organic growth, mentor a Content Marketer, and establish quality standards and processes for developer-focused thought leadership.
Hands-on Engineering Manager to lead a small systems team building SmithDB, LangChain's purpose-built storage and query layer for AI observability at massive scale. Write production Rust, drive architecture and performance, manage the team, and own the technical roadmap.
Own the roadmap for LangSmith Fleet, the platform enabling organizations to build, use, and manage AI agents with natural language, security, and observability. Requires 3+ years PM experience and hands-on LLM/agent work.
Write and maintain developer documentation, API guides, and technical specs for AI agent platform. Collaborate with engineering and product teams to ensure accurate, user-friendly content.
Build and manage SI partnerships to drive pipeline and enablement for LangChain's AI agent platform. Requires 5+ years in alliance/partner roles with technical fluency in AI tooling.
Own People Ops end-to-end at a fast-scaling AI company: HRIS (Rippling), compliance, global employment, benefits, policy, and automations. Report to VP of People and build a small team.
Drive full sales cycle for LangChain's AI agent platform, owning enterprise deals from lead to close while collaborating with engineering and product teams.
Leads end-to-end delivery of large-scale monetization programs, owns cross-functional data systems across the customer lifecycle, and diagnoses systemic revenue inefficiencies. Requires 7+ years in RevOps/program management and deep experience with billing, metering, and ERP systems.
As the first Federal Partner Alliances Lead, you will build and drive LangChain's federal partner strategy, focusing on establishing revenue-generating relationships with major Federal Systems Integrators (FSIs) and specialized boutique partners. This role involves owning FSI relationships, developing boutique partners, building joint go-to-market motions, and driving pipeline through partners.
As the Financial Controller, you will lead end-to-end accounting and financial reporting functions, ensuring clean books, timely close processes, and accurate financial data for leadership decisions. This role involves managing audits, overseeing financial operations, and improving financial systems.
Own post-sale customer lifecycle for a commercial portfolio at an AI infrastructure company. Drive retention, expansion, and renewals while acting as the commercial advisor and voice of the customer.
Own how LangChain shows up across content, brand, social, and design. Lead an existing team of brand, social, content, and design practitioners while staying hands-on with editorial, creative direction, and narrative strategy for a technical developer audience.
Own the full sales cycle for LangChain's AI agent platform, acting as a trusted advisor to enterprise technical teams. Drive POCs, build relationships, and shape GTM strategy in a fast-paced startup environment.
Sales Engineer co-architects and builds production AI agents with customers, owns pre-sales technical wins via POCs and demos, and provides post-sale advisory on deployment and operations. Requires 3+ years technical experience, strong Python/JavaScript, and agent/LLM design skills; 40% travel.
Leads technical direction for AI observability platform, building full-stack features in Go/Python/TypeScript, driving architecture, mentoring engineers, and ensuring production reliability at scale. Requires 10+ years backend/fullstack experience with high-throughput systems.
Designs, optimizes, and scales a distributed database storage layer for AI observability using Rust. Engineers performant ingestion/query code, integrates with cloud storage, deploys on Kubernetes, and profiles for cost/speed. Requires 5+ years systems/database experience, Rust proficiency.
Serves as technical advisor leading onboarding, training workshops, and enablement for enterprise customers using LangSmith platform. Requires 5+ years in customer-facing technical roles and 2+ years AI/ML engineering with Python proficiency.
Deployed Engineer partners with customer teams to co-build, deploy, and operate production AI agents using LangChain/LangGraph. Owns technical wins in pre-sales POCs/evaluations and provides post-sale architecture advice, demos, and best practices. Requires 3+ years technical experience, strong Python/JS, and hands-on agent design beyond basic APIs.
Solutions Architect on the Professional Services team helping enterprise customers design, deploy, and optimize production-grade AI infrastructure and multi-agent systems using LangChain/LangGraph, Kubernetes, Terraform, and cloud platforms. Requires 7+ years customer-facing technical experience, strong infrastructure and agent engineering skills.
Supports recruiters by scheduling high-volume interviews across time zones, managing candidate communications, hosting onsite visits, and improving recruiting processes in a fast-paced startup environment. Requires 2+ years coordination experience in tech, strong organization, and communication skills.
Leads full sales cycle for LangChain's AI agent platform to U.S. federal agencies (DoD, Civilian, IC), navigating procurement and building relationships with integrators. Requires 7+ years sales experience, 3+ in federal, proven $2M+ ARR track record, and technical acumen in AI/LLMs.
Technical Support Engineer leads escalation for technical issues in LLM applications and AI agents, diagnosing problems across setups, products, and deployments. Requires 4+ years experience, Python proficiency, and expertise in Kubernetes, Docker, and observability tools.
Own go-to-market for LangSmith Observability and Evaluation products, including messaging, product launches, sales enablement, and competitive positioning for technical AI/ML buyers. Requires 5-8+ years product marketing experience with developer tools or AI infrastructure.
Designs and deploys scalable AI infrastructure and multi-agent systems for enterprise customers using Kubernetes, cloud platforms, and LangChain/LangGraph. Requires 7+ years customer-facing technical experience and strong infra/AI engineering skills.
Sales Development Representative generating qualified opportunities from inbound and outbound prospects via phone, email, and LinkedIn. Partners with Account Executives using AI-powered agents like LangChain for automation; requires 1-2 years SaaS sales experience and strong communication skills.
Senior Backend Engineer builds scalable infrastructure for AI agent deployments, focusing on distributed queues, state persistence, fault-tolerant orchestration, and monitoring. Requires 4+ years experience with Go/Python, Kubernetes, and distributed systems.
Builds AI-native agents using LangChain stack to power technical support, onboarding, and customer success, driving case deflection and self-service. Requires 3+ years engineering with 1+ year production LLM systems, Python/TypeScript proficiency, and self-directed builder mindset.
Co-architects production AI agents with customers, owns pre-sales technical wins via POCs and evaluations, and advises on deployment/operation of agent-based apps using LangChain tools. Requires 3+ years experience, strong Python/JS, and agent/LLM application design.
Supports full sales cycle for SMB, mid-market, and small-enterprise accounts, building relationships and driving adoption of LangChain's AI products. Requires 3+ years sales experience, 1+ year closing deals, and strong outbound track record.
Leads engineering team building LangSmith AI observability platform for LLM apps. Mentors engineers, shapes technical direction, partners with product/design, codes in Go/Python/TypeScript, and engages customers. Requires strong full-stack experience and data-intensive systems design.
Strategic People Partner embedded with EPD, GTM, and Ops leaders at a high-growth AI startup. Drives business outcomes through proactive people strategies, data-driven insights, AI automation, and leadership coaching. Requires 8+ years HRBP experience in tech.
Builds secure backend services for enterprise authentication, authorization, billing, and tenant management using Python/Go. Requires 5+ years experience with identity standards (OAuth2, SAML, SCIM), access control (RBAC/ABAC), and SaaS infrastructure.
Senior Backend Engineer builds and optimizes services for LangSmith's observability and evaluation platform, handling high-volume AI app monitoring. Requires 5+ years experience, Python/Go proficiency, database expertise, and performance optimization skills.
Designs, deploys, and optimizes AI infrastructure and multi-agent systems for enterprise customers. Requires 7+ years in customer-facing technical roles, deep expertise in cloud/Kubernetes infrastructure, and LLM/agent frameworks like LangChain.
Manages post-sale lifecycle for commercial customers, driving adoption, renewals, expansions, and retention in B2B SaaS. Requires 5+ years quota-carrying experience, strong commercial acumen, technical aptitude, and CRM proficiency.
Product Manager owning core LangSmith platform roadmap, partnering with customers and engineers to build intuitive features for AI observability, evals, and deployment. Requires 3+ years PM/engineering experience, deep technical skills in APIs/architecture, and action bias.
Senior fullstack engineer building growth and monetization systems including onboarding, experimentation, billing, and self-serve expansion features. Works across React, TypeScript, Python, and Go in a high-impact 0→1 role.
Builds and deploys production-grade AI agents and workflows for business functions like marketing, recruiting, and product. Requires 3+ years experience shipping AI/ML apps, including LLM systems, with strong Python/TypeScript skills.
Build features for LangSmith AI observability and evals platform using Go/Python backend and React/TypeScript frontend. Requires 2+ years fullstack experience, database knowledge (Postgres/Redis), and API design skills.
Senior Fullstack Engineer leads architecture and implementation of observability platform features using Go/Python backend and React/TypeScript frontend. Requires 7+ years experience, database expertise (Postgres/Redis), and API scaling skills; onsite in SF with enterprise collaboration.
Maintains and improves LangChain JavaScript packages, enhances documentation, supports open-source community, and builds example AI applications. Requires 3+ years software engineering experience and strong communication skills.
Maintains and improves the core Python LangChain and LangGraph packages, enhances documentation, resolves community issues, and builds example AI applications. Requires 5+ years in software engineering or applied ML, strong communication, and ownership mindset.