AI Product Manager (Knowledge and Retrieval Systems)
Core
Define vision, strategy, and roadmap for enterprise knowledge retrieval and AI-powered service experiences using RAG and knowledge graphs.
Role type
Senior AI Product Manager (Knowledge and Retrieval Systems)
Builds
Enterprise knowledge repositories, semantic search platforms, vector databases, and AI agents for troubleshooting and information discovery.
Domain
Enterprise AI, Knowledge Management, Semantic Search
Deliverable
production ML models | product features
Required skills
RAG strategy, semantic search, vector databases, knowledge graphs, LLMs, embeddings, Python, product lifecycle management, budget ownership, stakeholder leadership
Preferred skills
AI agent development, organizational change management, ROI measurement
Technologies
RAG, vector databases, knowledge graphs, Python, LLMs
Responsibilities
Own product vision and roadmap for AI retrieval; Lead strategy for RAG platforms and semantic search; Partner with business leaders to prioritize AI use cases; Define content ingestion and governance strategies; Collaborate with engineering to improve retrieval quality; Lead development of AI agents for technical assistance; Monitor performance metrics like answer quality and citation accuracy; Establish governance with Security and Legal; Drive organizational adoption of AI knowledge delivery.
Seniority
Senior, hands-on IC
