I've been in product for about a decade, and honestly, most of it has been learning what doesn't work. I've built things nobody wanted, solved problems that didn't ultimately matter, and watched good ideas die from bad execution. But somewhere in all that, I figured out how to spot the right problems and, more importantly, build and shepherd teams that can actually solve them.

What I've realized is that whether it's early-stage chaos or enterprise-scale complexity, the real wins always came from the same place: shared focus, real trust, and a bias toward delivering something that matters.

Currently, I'm at Walmart eCommerce where I’ve led two 0-to-1 AI initiatives:

• Walmart's AI shopping assistant - redefining how millions of customers interact with their devices to discover, shop, and connect with Walmart through more personalized and automated experiences

• A GenAI-powered content engine - transforming how Walmart creates and delivers digital content to power the next generation of personalized experiences at enterprise scale

A few hard lessons that stuck with me:

• Speed is seductive, clarity is compounding. Be sure one is driving the other.

• Your assumptions are probably wrong. Test everything.

• You can't roadmap your way out of a vision problem.

• A focused team with clear goals beats a brilliant strategy every time.

• Your biggest competitor usually isn't another company. It's user indifference.

I keep things simple:

Find talented people, give them clear and meaningful outcomes to pursue, and get out of their way. When that clicks, you get products that do what they're supposed to do and teams that stick around to make them better.

AI is changing the game, sure, but the basics haven't changed. Know your users, test your ideas, build with care, and fix things when they break.