GTM Engineer
Discovered New York, NYRemoteFullTimeCustomer EngineeringPosted 4 months ago (Apr 29, 2026)
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.