GTM Engineer

LangChain langchain.com Open · verified Sep 14, 2026

On-site San Francisco, CA New York Full-time Mid-level Solutions & Sales Engineering

Mid-level Solutions & Sales Engineering role at LangChain. San Francisco, CA · full-time · $160,000–$180,000 base.

SalaryStated by LangChain

$160,000 – $180,000

Base salary for this role, in USD per year, as published in the posting.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

You'll design and launch LangGraph and LangSmith agents for support, integration troubleshooting, and onboarding
You'll study customer friction and create self-service AI that lowers support demand while improving service quality
You'll set technical direction, identify improvements, shape architectures, and manage each system through its lifecycle
You'll turn product usage into framework feedback and contribute improvements to LangChain and LangGraph open source
You'll automate documentation lookup and code creation so enterprise users reach production from prototypes sooner

What you bring

You bring strong knowledge of prompting, RAG, cognitive architectures, and agent loops across the LLM stack
You have at least three years of software engineering experience, including one year shipping LLM systems in production
You can build end-to-end applications with strong Python or TypeScript skills, ideally both
You independently find ambiguous, high-impact problems and carry them through without waiting for assigned tasks
You can translate technical customer pain into scalable architecture and value direct customer impact

Who this fits

This suits a builder-operator who enjoys combining software engineering with direct customer outcomes and can work independently through ambiguity. Experience with LangSmith, open-source projects, technical consulting, solutions engineering, or high-growth GTM teams is useful. The position is full-time and onsite in the United States.

From the employer

About Us

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines.

You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.

You Will:

Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.
Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.
Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.
Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.
Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.

What we are looking for:

AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.
Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.
Self-Directed "Founder" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.
Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.
Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.

Nice to Haves:

Expertise with LangSmith for evaluation and monitoring.
Experience building or maintaining open-source projects.
A background in technical consulting, solutions engineering, or high-growth GTM teams.

Compensation:

We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
Salary: $160K - $180K

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.