We are looking for a Knowledge Architect for our AI-powered knowledge platform for the professional sports business.

This is not a purely technical role. It is about structuring the domain knowledge that sits underneath the product: deciding what the system should know, how it is organized and retrieved, and how it stays current as the platform scales across clubs, leagues, and portfolios.

You bring a background in information architecture or knowledge engineering and want to apply that expertise where it directly shapes how an AI product thinks. You will work closely with our top B2B clients and our internal expert network to capture complex domain knowledge, structure it for retrieval, and hold the editorial bar that keeps the corpus sharp, trusted, and actually used.

Knowledge model & taxonomy
Own the domain ontologies, tagging schema, and per-sport / per-business-model relevance logic that every agent retrieves against. This is the structural backbone of the platform
Knowledge lifecycle Design
Govern discovery, extraction (interviews, AI-led interviews, document mining), curation, validation, and retirement, including the give-to-get contribution logic that incentivizes expert input
Cross-tenant governance
Define sharing tiers and confidentiality rules at club, league, and portfolio level and translate them into concrete access and approval workflows
Corpus curation
Build out the shared knowledge corpus and the domain-specific knowledge bases behind each agent, starting with Sponsor Acquisition and Pricing/Yield, in close collaboration with subject-matter experts
Quality & freshness
Own review cadences, source provenance, conflict resolution between contributed assets, and the metrics that prove the corpus is improving over time
Collaboration with the AI team
Partner with engineers and product to design knowledge structures that work for chunking, embeddings, and retrieval, not just for human readers

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At least 2 years of experience in information architecture, knowledge engineering, or a comparable role: ontologies, taxonomies, knowledge graphs, and RAG-friendly content structuring
A working understanding of how LLMs consume knowledge: chunking, embeddings, and retrieval quality. Enough to design for the AI layer, not just around it
Domain literacy in the sports business such as sponsorship, ticketing, commercial operations, or a proven track record of ramping up quickly with subject-matter experts
Strong instincts for governance and data rights: confidentiality tiers, IP ownership, and contributor incentives
Editorial judgment: you can tell signal from noise in expert input and hold a clear quality bar
A completed degree in information science, computer science, linguistics, library and information studies, or a comparable field
Strong communication skills in English, German is a plus
Confident handling of digital tools and remote-work environments

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Foundational role: Shape the knowledge layer of a new AI product from day one and see your work in every agent that goes live

Flexible working: Remote or in our Berlin office, with flexible working hours

Room for your ideas: Your expertise counts. Bring in your own concepts and implement them

Strong team spirit: Collaboration at eye level, regular team events

Real impact: Shape how AI is applied in the sports business and help define a new commercial standard for leagues and clubs

Tap Into a Strong Network: Our experienced founding team, dedicated colleagues, and wide network of experts enable us to collaborate with international top-tier leagues and partners

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XU Group GmbH

Open Vacancies (1)

Knowledge Architect (m/f/d)