About

I design the vision, then build it real.

  • 10 years, Fortune 500 — Microsoft, Unilever, J&J, Lululemon, Tapestry, PacSun.
  • 0→1 is my home turf — learn an unfamiliar domain fast, define what good looks like, ship it.
  • Now building hands-on with AI — prototypes, vibe coding, real shipped products.
  • Excellence and a sense of beauty — the two things I care about most.
More about me
Hongdan (Iris) Wang
10
Years in product
8
Products shipped 0→1
$160M
Client opportunity shaped
15
Competitive bids won
22
Largest team led
Clients & teams I've shaped solutions for
Microsoft Unilever Johnson & Johnson lululemon Sephora Kate Spade PacSun CMA CGM MLB Under Armour Amway Wellington College
Selected work

Selected 0→1 products.

Across very different industries — consumer SaaS, retail commerce, global logistics, enterprise finance.

The throughline: I learn any unfamiliar domain fast, then ship it 0→1.

Catalystm
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CatalystM

CatalystM · AI influencer-marketing SaaS · catalystm.ai

My deepest AI build — an AI-native influencer-marketing SaaS I'm driving 0→1, where I vibe-code features hands-on with AI tools myself, not just spec them. Launching 2026.

AI-nativeVibe-coded by me0→1 · launching 2026
PSHub
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PSHub · PacSun

PacSun — leading US fashion retail brand

A large, complex community + commerce + creator-economy app — I shipped the full commerce stack end-to-end: catalog, cart, orders, payments, promotions and tax, integrated across enterprise retail systems. Live on the US App Store.

Large-scale deliveryEnd-to-end commerceLive on App Store
CMA CGM
Shown on request

CMA CGM

CMA CGM — world's #3 container shipping group

Customer-facing WeChat mini-program for global shipping — containers, schedules, pricing, booking & support; seeded a multi-year AIGC roadmap and named Best Business Opportunity Contributor.

Global logisticsWeChat ecosystemAIGC roadmap
Tapestry
Shown on request

Tapestry

Tapestry (NYSE: TPR) — house of Coach & Kate Spade

An enterprise AI reconciliation assistant for Tapestry finance — matching retail sales to SAP journal entries — which I led as PM, reporting directly to the APAC Finance VP.

Enterprise AISales ↔ SAP reconciliationLed as PM
Play the demo

MLB Fan Game

MLB — client proposal demo · playable at mlb.catalystm.ai

A gamified MLB fan-experience demo I built entirely on my own — designed and vibe-coded end-to-end with AI tools: pick an avatar, pick a team, run game-day tasks. Playable live.

100% soloDesigned + vibe-codedPlayable live
Experience

Where I've worked.

Experience
2022 – Now
iSoftStone
Product Expert — Retail & AI Innovation (Intl) · promoted from Senior PM
  • Lead end-to-end product design — business scenarios, architecture, flows, functional design — for Fortune 500 brands (Microsoft, Unilever, J&J and more).
  • Took 10+ products 0→1, concept to launch; prototype POCs hands-on with AI tooling (vibe coding), without waiting on engineering.
  • Won 10+ competitive bids via RFP — including J&J China's first GenAI platform; lead global teams up to 22 across five countries and partner with client execs at CIO/VP level.
  • Shaped flagship 0→1 products — CatalystM (AI SaaS), PSHub (PacSun, live US App Store), and CMA CGM's WeChat ecosystem.
0→1 ProductsRFP / New PartnershipsGlobal TeamsAI PrototypingCIO/VP Partner
2020 – 2022
Sephora China
Senior Product Manager (Contract)
  • Built Sephora's first in-house A/B-testing platform, replacing a SaaS vendor and saving $150K / year.
  • Held release-approval authority for bi-weekly production deploys.
  • Redesigned the omni-channel roadmap (Digital 1.0–3.0) in partnership with KPMG.
A/B PlatformRelease AuthorityOmni-channel$150K saved
2016 – 2020
Suzhou Dayton
Product Manager
  • Owned design and delivery of a CRM platform serving 200+ sales users, from requirements through functional design.
CRM200+ Users
Education
University of Hong Kong2019 – 2020
University of Hong Kong
Master's · Higher Education
Nanjing Xiaozhuang University2012 – 2016
Bachelor's
National Scholarship · Top 0.2% nationally
Download full CV
How I think

Judgment is the job.

I build with AI every day — prototyping, vibe-coding, shipping real products. When anyone can generate almost anything, output stops being the moat. Judgment and taste are: knowing what's worth making, and what good looks like before it exists.

01

Taste is a spec.

Knowing what good looks like before it exists is the most underrated product skill. Aesthetic judgment is a requirement, not a garnish.

02

Define the problem, win the product.

Most failed products answer the wrong question beautifully. I spend disproportionate time framing what good actually means before building.

03

Direct AI like a director.

AI ships my ideas now. The job has shifted from writing documents to giving precise creative direction — context, constraints, taste.

Beyond work
Contact

Let's build something.

Looking to hire, partner, or build an AI product together? Whether it's a 0→1 role or an idea we could prototype and ship side by side, tell me what you're working on — it comes straight to me.

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© 2026 Iris Wang · Shanghai, China