AI Product Manager & AI Product Builder in Taiwan
Building AI SaaS, LLM-powered products, and scalable systems
6M+ users impacted | AI-driven product execution | End-to-end AI Product Manager
Charles Chen is an AI Product Manager and AI Product Builder from Taiwan. He builds AI SaaS products, LLM-powered tools, and AI agent systems — shipping real products used by millions. As a Generative AI Product Manager, he combines product strategy with hands-on AI development to go from concept to shipped product faster than traditional workflows.
AI SaaS Product Examples — Real Case Studies
Path — AI SaaS Travel Planning
An AI SaaS product for trip planning. Features Google Maps integration, transit routing, cost tracking, and drag-and-drop itineraries. Built with React, TypeScript, and Supabase. Demonstrates end-to-end AI product building from 0 to 1.
Plutus Trade — Generative AI Product Case Study
AI-powered stock analysis platform for Taiwan markets. Uses Gemini AI for intelligent diagnostics, real-time K-line charts, one-tap screening, and prediction tracking. A generative AI product case study showing LLM integration in fintech. Built with Flutter, FastAPI, and Gemini AI.
Product Playbook — AI Agent Product for LLM Product Managers
An AI agent product built as a Claude Code skill. Uses LLM orchestration to turn product ideas into complete specs — 22 frameworks, 6 execution modes, automated dev handoff. From concept to spec in minutes. Open source on GitHub.
AI Product Manager Achievements
- 6M+ users impacted across AI SaaS, fintech, and enterprise products
- 85%+ revenue impact — owned product strategy across parking, subscriptions, and enterprise (TW + JP) at USPACE
- 5x faster iteration — pioneered AI-driven prototyping with Claude Code, Cursor, and Antigravity
- 0→1 AI SaaS builder — launched USPACE for Business, a B2B SaaS for corporate travel management
- +40% data-driven decisions — built BI product with AI-powered analytics at NUEIP
- +25% transaction conversions — redesigned checkout flow at PXPay Plus
- AI Product Manager mentor at XChange School, Taiwan's largest internet professional community
AI Product Manager & Builder Skill Set
| Category | Skills |
|---|
| Product Strategy | JTBD (Jobs to Be Done), Persona, RICE (Reach, Impact, Confidence, Effort), PRD (Product Requirements Document), Roadmapping |
| AI / LLM Product Tools | Claude Code, Cursor, Gemini AI, LLM Orchestration, Prompt Engineering, AI Agent Development |
| AI SaaS Engineering | React, TypeScript, Flutter, FastAPI, Supabase, Python |
| Data & Analytics | BI Dashboards, Predictive Analytics, A/B Testing, SQL |
| Leadership | Cross-Functional Teams, Stakeholder Management, Agile / Scrum, Mentoring |
Experience as AI Product Manager
- Product Manager, USPACE (2024 — Present) — AI SaaS builder. 85%+ revenue impact, launched B2B SaaS, 5x faster with AI tools
- Product Mentor, XChange School (2025 — Present) — Coaching aspiring AI product managers in Taiwan
- Senior PM, NUEIP (2024) — Built AI-powered BI product. +40% data-driven decisions, +35% forecast accuracy
- Product Manager, PXPay Plus (2022 — 2024) — +25% conversions, +50% operational efficiency
- Operations Manager, FLUX (2019 — 2022) — +20% market share, +30% retention, led team of 10
Frequently Asked Questions
What is an AI Product Builder?
An AI Product Builder is a product manager who builds, not just plans. They use AI coding tools like Claude Code and Cursor to prototype and ship products in days instead of weeks. They combine product strategy (JTBD, RICE) with hands-on AI/LLM development to deliver end-to-end.
How to become an AI Product Builder?
Start with product strategy fundamentals — learn JTBD, RICE prioritization, and PRD writing. Then pick up AI coding tools like Claude Code or Cursor to build real prototypes. Ship side projects that use LLMs or generative AI. Build an AI product portfolio showing measurable impact. The key differentiator is shipping real AI SaaS products, not just managing them.
What does an AI product manager portfolio look like?
A strong AI product manager portfolio shows real products you shipped, with metrics. Include AI SaaS products, LLM-powered tools, or AI agent projects. Show user impact numbers, revenue driven, and velocity improvements. Explain your product thinking and why you made specific decisions — not just the technology stack.
What's the difference between an AI Product Manager and an AI Product Builder?
An AI Product Manager focuses on strategy, roadmap, and stakeholder alignment for AI-powered products. An AI Product Builder goes further — they also prototype and ship the product using AI coding tools. Charles Chen operates as both: defining product strategy as an AI Product Manager while building working products as an AI Product Builder.
What are examples of generative AI products?
Generative AI product examples include AI spec generators (Product Playbook), AI stock analysis with LLM diagnostics (Plutus Trade), AI travel planners (Path), and AI agent tools for developer workflows. These products use generative AI to automate complex tasks that previously required manual work.
Read the AI Product Builder changelog for detailed case studies on how each product was designed and built.
View detailed case studies: Path — AI Travel Planner | Plutus Trade — AI Stock Analysis | Product Playbook — AI Spec Generator