Join n8n as an Internal Context Engineer to build and operate the company's shared context infrastructure for AI and team collaboration.
Posted by employer 1 day ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
n8n aims to build a context layer that AI agents can reliably access.
Requirements
Not disclosed in this posting: compensation, years of experience.
Benefits
Joblaze summary
The Internal Context Engineer at n8n focuses on developing and managing the company's shared context infrastructure, ensuring that both employees and AI agents can access structured and reliable knowledge. This role requires expertise in information architecture and knowledge systems, along with the ability to configure SaaS platforms and collaborate with various stakeholders. It is well-suited for someone with a background in knowledge management and a strong capacity for training non-technical teams. n8n's diverse and growing team emphasizes a collaborative approach to building a scalable knowledge system.
Joblaze insights
Quick facts
From the original posting
Cultivated a community of more than 650,000 active developers and builders
To make that happen, you’ll shape how our knowledge is structured, contributed, accessed, and maintained as we build the context layer powering n8n’s agentic future:
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 these standards as our 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.
Give non-technical contributors 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 n8n.
Configure and operate ingestion from qualitative sources such as Slack, Gong, Drive, and Notion using our context platform’s tooling.
Own day-to-day platform configuration and basic troubleshooting, escalating genuine engineering challenges to our 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 n8n and the 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 our context platform vendor and anticipate shared context patterns and capabilities that future agents will need.
🗂️ Information architecture: You have proven experience designing structured content or knowledge programs at scale, including taxonomies, style guides, contributor guidelines, templates, or information architecture.
🧠 Knowledge systems experience: You’ve worked hands-on with knowledge or context systems and understand what it takes to turn fragmented qualitative information into something others can reliably use.
⚙️ SaaS platform fluency: You’re comfortable configuring and operating SaaS knowledge or context platforms, working with APIs and integrations, and independently troubleshooting basic issues.
🎓 Stakeholder enablement: You have a track record of training non-technical stakeholders and enabling them to confidently maintain high-quality content themselves over the long term.
🔐 Governance collaboration: You’re comfortable partnering with IT, Security, and Legal on access requirements and compliance-sensitive data flows without needing to own the underlying technical architecture.
✍️ Communication: You have strong written and verbal communication skills and can set a clear quality bar for how company knowledge is structured, documented, and shared.
🤖 Context platforms: You’re familiar with Qontext.ai or a comparable agent-context platform.
🔌 MCP: You have experience with or a strong understanding of Model Context Protocol (MCP).
🏷️ Knowledge governance: You have a background in knowledge management, metadata, or data governance.
Why join us?
At n8n, you’ll have the opportunity to shape how an entire company’s knowledge becomes usable — not only by people, but by the AI agents increasingly working alongside them. You’ll build a capability we don’t have today and help establish the context layer that future agentic initiatives across n8n will depend on.
You’ll have real ownership over how company knowledge is structured, governed, and maintained, while working closely with teams across IT, Security, Legal, Data, and AI & Automation. You’ll also have the support of a strong technical team and vendor partner, so your focus can stay on creating a trusted, scalable knowledge system rather than building every piece of infrastructure from scratch.
As n8n grows, you’ll help turn fragmented knowledge into a shared company brain that teams can contribute to confidently and agents can depend on reliably.
Sound like a challenge you’re excited to take on?
Apply now — and help us build the context layer for the future of automation.
Our company language is English.
Competitive compensation 💸 – We offer fair and attractive pay.
Europe: 30 days of vacation, plus public holidays wherever you are.
Health & wellness 🩺 –
Europe: We provide benefits according to local country norms.*
Future planning 💰 –
Europe: We provide pension contributions according to local country norms.*
Financial security 🛡️ –
Europe: We provide benefits according to local country norms.*
Standard company text repeated across n8n's postings is omitted here.