Tasks:
- * Analyze product usage and user feedback to drive iteration
- * Conduct user research and competitor analysis
- * Coordinate engineering and algorithm teams through product launch
- * Define AI product requirements and use cases
- * Design and optimize LLM, agent, prompt, workflow, and knowledge-base features
- * Design product features, workflows, prototypes, and PRDs
- * Track AI industry trends and identify product opportunities
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [API Integration] [Business Process] [Business Process Design] [Code platforms] [Competitor Analysis] [Data Analysis] [Interface Design] [Knowledge bases] [Language Models] [Large Language Models] [Low Code] [Low-Code Platforms] [Process Design] [Product Requirements] [Product requirements documentation] [Prompt engineering] [Prototyping] [Python] [RAG] [Requirements documentation] [SQL] [Usability Testing] [User Research] [Workflow Orchestration]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Product Manager] [Manager] [Product Manager]