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
Work closely with top B2B clients and internal expert network to capture complex domain knowledge and structure it for retrieval
Own the domain ontologies, tagging schema, and per-sport / per-business-model relevance logic that every agent retrieves against
Govern discovery, extraction, curation, validation, and retirement processes
Define sharing tiers and confidentiality rules at club, league, and portfolio level
Build out the shared knowledge corpus and domain-specific knowledge bases behind each agent in close collaboration with subject-matter experts
Own review cadences, source provenance, conflict resolution, and prove the corpus is improving over time by metrics
Partner with engineers and product to design knowledge structures that work for chunking, embeddings, and retrieval

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

Flexible working: Remote or in our Berlin office, with flexible working hours
Strong team spirit: Collaboration at eye level, regular team events
Room for your ideas: Your expertise counts. Bring in your own concepts and implement them
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

Knowledge Architect

Key skills