AI Product Strategy | Growth | Pricing & Monetization
I help mature businesses unlock growth with AI products, platform capabilities, and monetization strategies. Across 10+ years at Amazon Retail and AWS, I’ve translated complex customer behavior, cloud economics, and technical capabilities into measurable results across GenAI commerce, global sizing, and enterprise infrastructure.
Senior Product Manager at Amazon · Ex-AWS
A few numbers.
A bigger story.
Years across product,
finance & growth
Projected 5-year revenue
AWS observability product
Customers in the
virtual try-on A/B test
China FBA sellers
in the sizing analysis
01 / THE JOURNEY
From pricing fundamentals to GenAI experiences and ML platforms.
Click any milestone to explore the role and the impact behind it.
02 / SELECTED WORK
A closer look at how I connect customer insight,
product decisions, and commercial outcomes.
From four Figma prototype iterations to a 500K+ customer experiment—and a decision to pause rollout when returns exposed fit-accuracy gaps.
KEY METRICS
KEY DECISIONS
Defining the early roadmap, pricing, and go-to-market strategy for a new AWS observability product—from customer research to sustainable unit economics.
KEY METRICS
KEY DECISIONS
Turning seller research and a normalized return-rate gap into an ML size-mapping platform, scaled from a 20-seller pilot to 30K+ China FBA sellers.
KEY METRICS
KEY DECISIONS
Selected work across Amazon and AWS. Forecasts are labeled; experimental results are distinguished from launched outcomes.
03 / THOUGHT LEADERSHIP
Perspectives on customer confidence, AI economics,
and building products that create lasting value.
Infrastructure investment is only the beginning. I explore how workflow integration, proprietary context, and pricing power determine whether AI products can turn customer value into sustainable revenue.
Read on LinkedInFROM THE ARTICLE
“Compute can be financed, but downstream revenue cannot.”
Luna Zhu
Lessons Across Commerce, Cloud, and AI
A framework for reducing three kinds of customer uncertainty—outcomes, costs, and trust—and using decision confidence to guide product strategy.
Read on LinkedIn04 / MY PERSPECTIVE
The best product decisions make sense for the customer and the business.
My path into product started with economics and pricing. At Amazon Fashion, I bring that foundation to GenAI shopping experiences and ML sizing platforms; at AWS, I connected early product roadmaps with pricing, packaging, and infrastructure economics.
I work from SQL analysis and customer interviews through Figma prototypes, technical requirements, and controlled experiments. I use those insights to prioritize features, align teams, and decide when a product is ready to scale.
Master of Public Policy · USC
BA, Economics · Fudan University
CFA Charterholder
AWS AI Practitioner · Solutions Architect
LET’S BUILD WHAT’S NEXT
Exploring senior product opportunities in AI, growth, and monetization.
Based in Greater Seattle. Open to remote roles across the US.