Forward Deployed Engineer

August 7, 2026
Application ends: November 4, 2026

Job Description

REQUIREMENTS

  • Solid full-stack or backend engineering experience, including production integrations, application programming interfaces, or automation pipelines.
  • Ability to create custom nodes, extend existing integrations, and work with APIs, authentication patterns, data models, and event-driven systems.
  • Ability to distinguish one-off customer workarounds from reusable node improvements and product features worth escalating.
  • Comfort working directly in customer environments and building trust with engineers, operators, and non-technical stakeholders.
  • Ability to turn ambiguous operational problems into clean, practical technical designs.
  • Strong technical judgment to avoid unnecessary complexity and know when to build or push back.
  • Willingness to travel approximately 50–60% of the time for on-site engagements, primarily across Europe.
  • Ability to quickly understand new industries, technology stacks, and customer environments.

RESPONSIBILITES

  • Drive enterprise deployments by embedding on-site with customers for focused five-day engagements and leaving production workflows in place.
  • Partner with Deployment Strategists to align technical execution with customer priorities, stakeholder needs, and adoption goals.
  • Build clear, actionable solutions from complex customer environments for technical and non-technical stakeholders.
  • Design and build production-grade workflows, integrations, and custom nodes tailored to customer environments and scalable beyond the initial use case.
  • Extend existing n8n nodes or add missing functionality to support high-value enterprise use cases.
  • Translate ambiguous business problems into concrete automation designs focused on customer value.
  • Identify when bespoke customer requirements should become reusable node improvements, product features, or platform capabilities.
  • Document technical gaps, customer context, implementation learnings, and prioritization signals for Product and Engineering.
  • Contribute reusable learnings, workflows, custom nodes, and integration patterns to an internal playbook library.
  • Turn customer learnings into product features and reusable playbooks that make subsequent engagements faster and more productized.
  • Deliver time-boxed customer engagements with clear outcomes rather than open-ended professional-services work.
  • Build solutions that customers can operate themselves.
  • Know when to build, simplify, or push back to keep engagements focused and scalable.

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