GTM Engineer

LangChain; San Francisco (CA); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Flexible vacation

401(k) plan

Life insurance

Job summary

A leading AI technology company is seeking a GTM Engineer to drive case deflection and enhance the onboarding experience for users. This role involves designing production-grade agents, analyzing customer friction points, and developing AI-native onboarding solutions. The ideal candidate should have over 3 years of software engineering experience, a solid understanding of the LLM stack, and strong coding skills in Python or TypeScript. Competitive compensation includes a salary of $160K - $180K, equity, and comprehensive benefits.

Qualifications

• 3+ years of software engineering experience.
• 1+ years of experience shipping LLM systems in production.
• Ability to build end-to-end applications.

Responsibilities

• Design and deploy production-grade agents for customer support.
• Create self-service AI systems to reduce support volume.
• Identify and propose architectural improvements.
• Develop AI-native onboarding experiences.

Skills

Understanding of LLM stack

Strong software engineering skills

Experience with Python

Experience with TypeScript

Customer-centric approach

Tools

LangChain

LangGraph

LangSmith

Job description

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