This role is mostly front line helpdesk work for non enterprise customers, starting with account, access, plan and billing questions, then widening into more technical issues over time. A strong candidate brings several years of technical support or solutions engineering, hands on n8n workflow building and debugging, and comfort with APIs, webhooks, authentication, cloud platforms, Linux basics, networking and containers. The rest of the job is spotting repetitive tickets and building automations and documentation that let the team handle more volume without losing quality.
How it fits the AI era
Much of the early ticket load is routine account and billing work, which is exactly the kind of thing automation can absorb, and this role is asked to build that automation rather than only answer tickets. AI and workflow tooling shift the job toward designing and maintaining those automations and toward the harder technical problems that remain. What stays human is clear explanation, judgment about what customers actually need, and turning recurring friction into useful feedback for Product.
How it builds AI experience
The role sits inside a company whose product is visual AI agent and automation building, so daily work means using n8n itself to automate support tasks and gaining practical skill in wiring AI steps into real workflows. Candidates can build this by creating and debugging their own n8n workflows, connecting APIs and webhooks, and trying simple automation of repetitive tasks with tools like Zapier, Make or Airflow. Familiarity with AI concepts and authentication flows such as OAuth2 or JWT helps, and the posting invites applicants to share a first workflow as proof.
Worth showing
- n8n workflow building
- API and webhook debugging
- Docker or Kubernetes
- Clear technical documentation
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About N8n
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Support Engineer (EMEA) in Berlin Arbeitgeber: present of AI
Adaptyv Bio ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, eine Finanzabteilung von Grund auf neu aufzubauen und dabei innovative Technologien zu nutzen. Mit einem flexiblen hybriden Arbeitsmodell in Lausanne fördern wir eine Kultur des Vertrauens und der Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen bieten, um Ihre Fähigkeiten in der Automatisierung und im Finanzmanagement weiterzuentwickeln. Hier haben Sie die Chance, an der Spitze der KI-gestützten Forschung zu arbeiten und einen echten Einfluss auf die Zukunft der Wissenschaft zu nehmen.
