Tasks:
- * Analyze competing Agent products and user experiences
- * Coordinate algorithm, engineering, and business teams
- * Define product roadmap
- * Design Agent interaction flows and dialogue scripts
- * Develop Agent training materials
- * Enable employees to use AI Agents effectively
- * Establish productivity metrics
- * Iterate products based on data
- * Prioritize Agent skills backlog and memory strategies
- * Research business needs and identify high-value AI Agent use cases
- * Track agent quality and user satisfaction
- * Write PRDs and drive product delivery
Perks/Benefits:
Skills/Tech stack required:
[Agent Loop] [Agent memory] [Agent skills] [AI Agent] [AI Agent product design] [AI Agents] [AI coding] [AI coding tools] [App Design] [B2B Product] [B2B Product Management] [Bot Design] [Coding Tools] [Commercialization] [Competitive Analysis] [Conversational UX] [Conversational UX design] [Data-driven] [Data Driven Product] [Data-driven product iteration] [Enterprise Productivity] [Enterprise productivity tools] [Enterprise SaaS] [Feishu app design] [Feishu bot design] [Feishu (Lark) ecosystem] [Langchain] [Langgraph] [Language Models (LLMs)] [Large Language Models] [Large Language Models (LLMs)] [Model Context Protocol] [Model Context Protocol MCP] [PRD Writing] [Product Design] [Product iteration] [Productivity tools] [Product Management] [Product Metrics] [Product Roadmap] [Product roadmap planning] [Protocol MCP] [Roadmap planning] [UX Design]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Product Manager] [Manager] [Product Manager]