Knowledge Architect (m/f/d) at Proactive Physical Therapy Centers, PLLC

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

09 Sep, 26

Salary

0.0

Posted On

11 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Information Architecture, Knowledge Engineering, Ontologies, Taxonomies, Knowledge Graphs, RAG, LLM Knowledge Consumption, Chunking, Embeddings, Data Governance, Editorial Judgment, Sports Business Domain Knowledge, English Communication, Content Structuring, Knowledge Lifecycle Management, Cross-tenant Governance

Industry

technology;Information and Internet

Description

Deine Verantwortung We are looking for a Knowledge Architect for our AI-powered learning & operating system. The system is built for the commercial management of professional sports organizations: a platform that supports leagues and clubs with structured, AI-ready knowledge and decision support in areas like sponsorship, merchandizing, and commercial marketing. 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 Dein Profil 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 Warum wir? 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 About us Do you want to help shape the future of work with us? At XU Group GmbH (founded in 2016), we harness the power of education to support companies on their transformation journey. Our concept of Education-as-a-Service (EaaS) combines didactic expertise with the invaluable industry knowledge of our partners. We believe that knowledge is the key to successful transformation. That’s why we equip companies with the skills they need to thrive in an ever-changing world. Our mission? To create a livable future for everyone. If you want to be part of an agile team working with passion and vision on the future of education and corporate development, then you’ve come to the right place! Join us on our mission.

Responsibilities

The Knowledge Architect is responsible for designing and managing the structural backbone of an AI-powered learning system for professional sports organizations. This includes owning domain ontologies, managing the knowledge lifecycle, and collaborating with AI engineers to optimize retrieval and embeddings.