LangChain

GTM Engineer

Vaga remota de Customer Engineering com fit claro de localização do candidato.

Publicada29 de abr. de 2026

Países elegíveis38 países aceitos

Sinal de senioridadeNível aberto

Modelo de trabalhoRemoto

Locais aceitos para candidatos

AlbâniaÁustriaBélgicaBulgáriaCroáciaChipre+32 mais

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Países aceitos para candidatos estão listados (38).

Atualidade da fonte29 de abr. de 2026

Fit de localização38 países aceitos

Match de stackPython, TypeScript

Caminho de aplicaçãoSite da empresa

Resumo de fit da MiraPor que vale revisar esta vaga

Fit de localização38 países aceitosAdicione seu país

Match de stackAdicione skills ao perfil para compararPython, TypeScript

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Prontidão para aplicarSite da empresaA aplicação continua no site da empresa.

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Aplicação externa

Aplicando paraGTM EngineerLangChain

Fit de país38 países aceitos

Caminho de aplicaçãoSite da empresa

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Aplicação da empresa

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Conteúdo da vaga extraído em seções para revisão mais rápida.

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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