Senior Support Engineer: AI Automation Champion (Remote)

n8n

United States

On-site

USD 100,000 - 140,000

Full time

28 hours ago
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Benefits offered by this job

Competitive compensation
Equity
Remote-first
Visa sponsorship for Germany

Job summary

n8n is seeking a Senior Support Engineer for North America to ensure best-in-class support for enterprise customers and community users. You will diagnose issues, collaborate with the engineering team, and build knowledge resources to help users succeed with our low-code AI automation platform.

Responsibilities include troubleshooting across workflows and integrations, contributing to product reliability, and engaging with the community to share best practices.

Qualifications

  • 5+ years in a technical support or customer-facing engineering role, with enterprise exposure.
  • Willingness to participate in a paid on-call rotation for after-hours support.
  • Strong understanding of workflow automation, APIs, and integrations.
  • Solid knowledge of DNS, HTTP/HTTPS, TCP/IP and related networking concepts.
  • Excellent problem-solving and communication skills; ability to explain complex concepts clearly.

Responsibilities

  • Provide technical support to users via tickets, chat, and forums.
  • Diagnose and troubleshoot issues related to n8n, including workflows, integrations, and performance.
  • Escalate and collaborate with engineering to resolve complex problems.
  • Create and maintain documentation, FAQs, and knowledge articles.
  • Identify common issues and contribute to reliability and user experience improvements.
  • Engage with the community by sharing best practices.

Skills

Technical support
Customer-facing engineering
Workflow automation
APIs & integrations
Networking concepts
Kubernetes (plus)
Problem-solving
Communication
On-call rotation

Job description

n8n is seeking a Senior Support Engineer for North America to ensure best-in-class support for enterprise customers and community users. You will diagnose issues, collaborate with the engineering team, and build knowledge resources to help users succeed with our low-code AI automation platform.

Responsibilities include troubleshooting across workflows and integrations, contributing to product reliability, and engaging with the community to share best practices.

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