LangChain

GTM Engineer

Rol remoto de Customer Engineering con fit claro de ubicación del candidato.

Publicado29 abr 2026

Países elegibles38 países aceptados

Señal de seniorityNivel abierto

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

AlbaniaAustriaBélgicaBulgariaCroaciaChipre+32 más

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Las ubicaciones aceptadas para candidatos están listadas (38).

Actualidad de la fuente29 abr 2026

Fit de ubicación38 países aceptados

Match de stackPython, TypeScript

Camino de aplicaciónSitio de la empresa

Resumen de fit de MiraPor qué vale revisar este rol

Fit de ubicación38 países aceptadosAgrega tu país

Match de stackAgrega skills al perfil para compararPython, TypeScript

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Preparación para aplicarSitio de la empresaLa aplicación continúa en el sitio de la empresa.

Aplicación

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Aplicación externa

Aplicando aGTM EngineerLangChain

Fit de país38 países aceptados

Camino de aplicaciónSitio de la empresa

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Aplicación de la empresa

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Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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.

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.

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.

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

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