Jolie Huang
about

the mind behind
the inventions

I've been building AI products since before it was cool. A decade of turning emerging capabilities into products that change how people live and work — not by chasing what's possible, but by obsessing over what's needed.

I've led 0-to-1-to-scale AI products inside some of the world's most-used consumer platforms — setting the vision, designing the system architecture, embedding responsible AI as a competitive edge, and shipping experiences that reached hundreds of millions of people.

I operate where model capabilities, product design, and business model converge. That's where the most consequential decisions are made — and where the most interesting products are born.

Mozilla Firefox Tinder Dictionary.com Accenture
principles
Start with the people, not the hype.

The question is never "what can we build?" It's "what does someone actually need, and is AI genuinely the best way to meet that need?"

Clarity is the job.

An LLM can generate a spec in seconds. What it can't do is own the consequences. The PM's edge is direction — crisp framing, the right constraints, the narrative that moves a team.

Great AI feels human.

Capability is table stakes. The differentiator is products that meet people with care — that earn trust interaction by interaction.

spotlight

building something ambitious?