Director of Applied Science and Engineering - Knowledge Graphs & AI

📋 Description Define and own multi-year roadmap for the Knowledge Graph platform. Build and lead a team of applied scientists and researchers. Design per-tenant knowledge graphs, schemas, data models; tenant isolation. Oversee pipelines to extract structured knowledge from unstructured data. Lead reasoning and inference layers for next-best-action and coaching. Establish research-to-production processes and governance. 🎯 Requirements PhD in CS, ML, NLP or related field focused on knowledge graph. 10+ years in applied ML; 3+ years leading teams of 5+. Proven track record shipping KG/NLP/graph ML to production with business impact. Expertise in 3+ areas: KG or graph ML, ER, IE, GNNs, temporal reasoning, or recommender systems. Strong engineering fundamentals; Python or Go; graph DBs and query languages (Neo4j, SPARQL, Cypher). Experience recruiting and growing applied science talent into senior leaders. 🎁 Benefits Highly competitive salary. 25 days vacation + sick time. Group medical coverage for you and up to 5 family members. RSU program and opportunities for growth. Diversity and inclusion programs and strong culture.