Internal Context Engineer

present of AI; Berlin; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

present of AI is seeking a knowledge platform lead in Berlin to design and run a shared knowledge layer used by employees and AI agents. The role involves structuring information, connecting Slack, Gong, Drive, and Notion, and training non-technical teams to maintain tidy content.

The candidate should have experience running a knowledge or content program at scale and be comfortable with SaaS tools and basic troubleshooting, collaborating with IT, Security, and Legal on access to information.

Qualifications

• Strong candidate has run a knowledge or content program at scale.
• Comfortable with SaaS tools and basic troubleshooting.
• Able to work with IT, Security, and Legal on access controls.

Responsibilities

• Design how information is organized and interconnected.
• Set up connections to tools like Slack, Gong, Drive, and Notion.
• Teach non-technical teams to keep content tidy.
• Build and maintain a searchable knowledge base.

Skills

Knowledge governance

SaaS integrations

Content training

Cross-functional collaboration

Tools

Notion

Slack

Drive

Gong

Job description

This role builds and runs a shared knowledge layer that both employees and AI agents can rely on. The work mixes designing how information is organized, setting up connections to tools like Slack, Gong, Drive, and Notion, and teaching non-technical teams to keep their own content tidy. A strong candidate has run a knowledge or content program at scale, is comfortable with SaaS tools and basic troubleshooting, and can work with IT, Security, and Legal on who gets access to what.

How it fits the AI era

AI agents are only as useful as the context they can draw on, so this role sits at the base of that. Tools and agents can ingest and search messy sources, but people still decide what counts as accurate, how knowledge is structured, and what is sensitive. Judgment, clear writing, and getting teams to adopt good habits stay human work.

How it builds AI experience

The role offers hands-on time with an agent context platform and with the way AI agents pull from company knowledge, at a company that builds AI automation tools. Someone could prepare by trying n8n, reading up on Model Context Protocol, and building a small searchable knowledge base from sample documents with clear structure and labels.

Worth showing

• Taxonomy and content standards design
• Knowledge base or wiki program
• Training non-technical contributors
• SaaS integrations and troubleshooting
• Working with Security and Legal

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.

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