Chung Meng Cheong

Chief Product Officer, realtor.com

Chung Meng Cheong is currently the Chief Product Officer at realtor.com. Most recently, he was the EVP of Product and Consumer Marketing at Financial Engines. Previously, he was the Chief Product Officer at 33Across.  33across is an advertising technology startup merging social & content interest signals, big data and display ad targeting technology. He was VP of Advertising Publisher Products at YP Holdings, responsible for leading development and delivery of advertising and publisher products across online and mobile. Prior to joining AT&T Interactive, Chung held product leadership roles at companies including Jaxtr (acquired by SabSe Technologies in 2009) and eBay – where he led product definition and development for eBay Express which became an Internet Top 100 retailer in less than 12 months. Chung has also worked for Elance, Microsoft and the Boston Consulting Company.

Articles by Chung Meng Cheong

Startup Guide to AI Visibility Be the Brand ChatGPT Recommends

Startup Guide to AI Visibility: Be the Brand ChatGPT Recommends

Introduction Today, users aren’t just searching on Google. They’re asking ChatGPT, Claude, Google’s Gemini, Perplexity, and other AI systems for advice. AI visibility is the new frontier of brand awareness....

Practical Uses of AI Automation for Startup Operations

Practical Uses of AI & Automation for Startup Operations

In a recent Mucker Growth Series session, we invited Rock Vitale, Founder & CEO of Easie, to share how he’s helped early-stage teams move from manual, fragmented workflows to streamlined,...

New York Tech Week Mucker Sessions Recap

2025 New York Tech Week Recap Of Mucker Sessions

Last week during New York Tech Week 2025, we joined more than 1,000 events hosted by founders, investors, and VCs. This post is a full Mucker recap of the three...

Build a Customer Support Function for Startups Using AI Alex Velinov

How to Build a Customer Support Function for Startups Using AI Tools with Alex Velinov

Delivering high-quality customer support can be one of the most resource-draining parts of a startup. The good news: we’re at a turning point where founders can use AI tools to...

Zero → 100: The Exact Steps We Took to Close Our First 100 Paying Customers

Zero → 100: The Exact Steps We Took to Close Our First 100 Paying Customers

Going from zero customers to 100 in just four months sounds impossible—unless you’re a founder willing to roll up your sleeves and hustle relentlessly. I’m Gaurav Bhattacharya, co-founder of Jeeva.ai,...

Sales Discovery & Qualification for Startups Richard Harris

Unblocking Startup Growth: Best Practices for Sales Discovery & Qualification with Richard Harris

Startups are in a constant race against time and resources, navigating complex sales environments with lean teams and limited margins for error. In a recent session from the Mucker Growth...

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