N

n8n

Open-source, node-based workflow automation platform

Internal Context Engineer

Data ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Proven experience designing structured content or knowledge programs at scale, including taxonomies, style guides, contributor guidelines, templates, or information architecture.
  • Hands-on experience with knowledge or context systems and an understanding of how to make fragmented qualitative information reliably usable.
  • Comfort configuring and operating SaaS knowledge or context platforms, working with APIs and integrations, and independently troubleshooting basic issues.
  • A track record of training non-technical stakeholders and enabling them to maintain high-quality content over the long term.
  • Comfort partnering with IT, Security, and Legal on access requirements and compliance-sensitive data flows without owning the underlying technical architecture.
  • Strong written and verbal communication skills and the ability to set a quality bar for how company knowledge is structured, documented, and shared.

Responsibilities

  • Define the taxonomy, structure, contributor guidelines, and templates that turn fragmented company knowledge into reliable, reusable context.
  • Establish standards that make knowledge easy to navigate, maintain, and use without creating duplication or another layer of content sprawl.
  • Evolve knowledge standards as functions, knowledge sources, and agentic use cases grow.
  • Onboard functions to the company brain and train designated champions to structure and maintain their own knowledge over time.
  • Provide non-technical contributors with the guidance, templates, and support they need to contribute high-quality context independently.
  • Partner with the Internal AI Enablement Lead to develop a shared network of champions who help scale strong knowledge practices across the company.
  • Configure and operate ingestion from qualitative sources such as Slack, Gong, Drive, and Notion using the context platform's tooling.
  • Own day-to-day platform configuration and basic troubleshooting, escalating genuine engineering challenges to the Automation team or vendor when needed.
  • Partner with IT, Security, and Legal to define requirements for how people and AI agents access sensitive company knowledge.
  • Keep content structures, contributor guidelines, and knowledge freshness current as the company and platform evolve.
  • Work with functions to ensure the company brain becomes a trusted source of context rather than another parallel knowledge repository.
  • Provide product feedback to the context platform vendor and anticipate shared context patterns and capabilities future agents will need.

Desired Qualifications

  • Familiarity with Qontext.ai or a comparable agent-context platform.
  • Experience with or a strong understanding of Model Context Protocol (MCP).
  • A background in knowledge management, metadata, or data governance.

About the Company

n8n

Open-source, node-based workflow automation platform

n8n is an open-source workflow automation platform that lets technical teams build multi-step automations with a visual, node-based editor, and it supports custom JavaScript or Python code when needed. Workflows are created by connecting trigger and action nodes on a drag-and-drop canvas, including webhooks, database queries, API calls, logic, loops, and notifications. It differentiates itself by offering both self-hosted and cloud options under a fair-code license, plus 400+ native integrations, community templates, and strong developer tooling with AI integrations. Its goal is to empower teams to automate complex workflows with flexibility, control, and accessibility, enabling rapid automation without sacrificing data ownership or customization.

Company size
1,001-5,000
Company stage
Series C
Total funding
$254M
Headquarters
Berlin, Germany
Founded
2019

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