ContextX-AI知识底座策略产品经理
Core
Product planning and iteration for the ContextX knowledge middle platform, covering document parsing, Agentic RAG, Memory, and vector retrieval modules.
Role type
Strategy-level Product Manager (AI Knowledge Base)
Builds
Knowledge middle platform modules (parsing, retrieval, memory) integrated into business applications
Domain
AI / Large Language Models / RAG / Vector Search
Deliverable
production ML models
Required skills
Product planning, API product definition, evaluation framework design, badcase analysis, data-driven optimization, cross-functional collaboration, technical trend exploration
Preferred skills
Experience with LLM applications, RAG, search recommendation, vector databases, document intelligent parsing, knowledge graphs, multi-modal embedding
Technologies
LLM, RAG, Agentic workflows, Memory mechanisms, Vector retrieval, Embedding, Chunking strategies, Multi-modal
Responsibilities
Define module capability boundaries and API standards; Build and operate evaluation systems for parsing and retrieval quality; Analyze business scenarios to identify optimization opportunities; Collaborate with algorithm and engineering teams to define data tasks and track technical frontiers
