Multi-hundred million yen SaaS revenue
Scaled cinema SaaS to multi-hundred million yen in recurring revenue with more than 50% profit rate.
CPO / Product Leader / AI Product Builder
Eddy Chan
Building AI-powered products, teams, and systems that turn strategy into execution.
- 40 Clients · 0% Churn
- CVR 20% → 30%
- Lead Time -25~50%
I am a CPO-level product leader with 7+ years of experience building and scaling consumer and B2B SaaS products. I work across product strategy, operating models, growth, and AI-driven execution — helping teams move from ambiguity to measurable business outcomes.
Selected Impact
Metrics that make the story legible.
1 → 40 clients, 0% churn
Expanded B2B SaaS adoption while maintaining perfect retention.
20% → 30% booking conversion
Improved funnel performance through UX, lifecycle, and product optimization.
150% user growth
Drove strong user growth through monetization, retention, and product experience improvements.
25–50% faster development lead time
Reduced lead time through AI-driven workflows, agent automation, and structured review systems.
What I Do
Product leadership grounded in business impact and execution systems.
My background spans consumer platforms, B2B SaaS, and digital transformation in Japan, with a strong track record of turning strategy into operating models, roadmaps, and measurable growth.
More recently, I have focused on AI-driven product development — using AI agents, automation, and structured workflows to accelerate how teams discover, build, and ship.
Experience
A track record across product leadership, SaaS growth, and AI-enabled transformation.
Owned product strategy and business outcomes across consumer platform, cinema SaaS, and data products.
Leading an 18-person cross-functional team including external partners, with responsibility for roadmap, growth, operating model, and AI-enabled transformation.
- Scaled cinema SaaS from 1 to 40 clients with 0% churn and multi-hundred million yen recurring revenue at 50%+ profit rate.
- Improved the booking funnel from 20% to 30% conversion and supported 150% user growth through UX and lifecycle optimization.
- Implemented AI-driven development processes with AI agents-first automation, including standardized PRDs, acceptance criteria, test generation, and review checklists, reducing lead time by 25–50%.
- Developed and deployed an AI agent for the Japanese movie distribution industry using NLP, predictive analytics, and content generation.
Led end-to-end product management across a B2C movie booking platform and B2B cinema operations SaaS.
Drove discovery, roadmap prioritization, monetization, retention, and platform efficiency in a scaling environment.
- Launched paid membership and loyalty features contributing to 50% user growth.
- Redesigned cinema SaaS from an early version into a scalable product, expanding customers from 1 to 30.
- Achieved 50% GCP cost reduction through platform optimization.
- Supported organizational scaling through hiring, interviewing, and operational improvements.
Managed planning, delivery, QA, and release work for one of Japan's largest gaming platforms.
Worked across platform initiatives serving 20M+ registered users and 150+ titles.
- Led a payment backend upgrade that improved reliability and performance at scale.
- Delivered multilingual expansion in Traditional Chinese and English.
- Managed corporate and recruiting sites as well as additional web properties end-to-end.
Formal training in leadership, problem-solving, and global Japanese studies.
Forward Learning Program at McKinsey & Company and Bachelor's Degree in Global Japanese Studies from Meiji University.
- McKinsey & Company — Forward Learning Program (Apr 2025 – Jul 2025).
- Meiji University — School of Global Japanese Studies (Sep 2013 – Sep 2017).
AI-Driven Product Development
AI as an operating system for product execution.
AI Agents-First Development Automation
AI agents support PRD drafting, acceptance criteria, review checklists, test generation, and execution support.
Workflow Orchestration
Product, strategy, and execution are connected through explicit systems rather than informal handoffs.
Faster Discovery-to-Delivery Cycles
AI-enabled processes shorten the path from insight to specification to implementation.
Scalable Team Productivity
The goal is not isolated AI experiments, but consistent team-wide productivity gains.
Flagship Project
Team Miya (チームみや)
A fully operational multi-agent AI team built on OpenClaw and designed as a coordinated working system rather than a collection of isolated chatbots.
🎯 Miya (みや)Lead Personal Assistant & Conversational Entry Point
Handles intake, clarification, triage, scheduling, and daily coordination.
🧭 Honami (ほなみ)Senior Project Manager & Workflow Monitor
Owns requirements, PRDs, task breakdown, assignment flow, review coordination, and workflow monitoring across the team.
🧠 Rion (りおん)Executive Secretary & Strategic Advisor
Supports research, analysis, market intelligence, and higher-order strategic thinking.
⚙️ Anri (あんり)System Engineer & Technical Lead
Owns implementation, coding, integrations, architecture, and technical delivery.
👤 Nana (なな)Senior QA & Release Gatekeeper
Owns strict QA, verification, bug validation, and release readiness before work moves into final review.
How the system works
- Intake and triage
- Requirements and planning
- Strategic analysis when needed
- Technical implementation
- Quality assurance
- Final review and delivery
Free OpenClaw Knowhow
A practical guide to building long-running AI agent systems.
I am distributing my OpenClaw knowhow for free: setup habits, memory design, safety boundaries, heartbeat and cron usage, and how to grow from a single assistant into an agentic engineering team.
Read the OpenClaw Knowhow
Happy to connect and discuss OpenClaw, AI agents, and agentic engineering.
Reading Shelf
Books that shaped how I think.
Books that shaped how I think about product, leadership, strategy, and life. Each one left a mark — these are the ones I keep coming back to.
Curated Places
Ramen picks I’ve carefully curated after living in Japan for over 10 years.
A ramen map built from bowls I would actually recommend, not filler picks. Each spot here earned its place through craft, character, and the kind of flavour memory that sticks.
Curated spots
Contact
Open to strategic product, AI, and leadership conversations.
Let's build something meaningful.