About

I spent about twelve years at Indeed. I started as a data analyst, then moved into product, building tools that helped employers manage candidates and hire people. That meant understanding how a small-business owner actually works, and making the software fit.

Later, I helped build and lead the Employer Data & Analytics organization, partnering with engineering and managing product managers. We built customer-feedback systems, shared metrics, and data products that teams across Indeed used to make decisions. ASK'EM, our survey platform, and Connections, a company-level engagement metric, were two big pieces of that work.

That experience still shapes how I think. A metric is useful when it helps someone decide what to do. A platform is useful when other people can build on it without having to come through you.

More recently, I've worked on AI products in smaller teams. Through Zencohen, I worked on a consumer conversational-AI product, helping plan its launch and using early user behavior to understand where the experience was breaking down.

At Devplan, I led product work across customer discovery, self-serve onboarding, and AI quality. I worked with engineering to get the onboarding experience into production, then used AI tools to implement specific signup and setup improvements with engineering review. I also worked on how the AI generated and edited documents, testing changes against actual outputs and checking what users would see.

Alongside that, I've co-built a PropTech startup and made my own tools, including VibeScaffold and an open-source AI coding toolkit. Building things myself gives me a way to test the ideas I write about.

I think teams do their best work when they understand the outcome they're trying to reach and have room to figure out how to get there. A big part of product leadership is making that outcome clear, choosing what matters, and helping people work through the tradeoffs.

I like having something we can try and learn from early. That might mean talking through an idea with a customer, building a prototype, or making a small change we can put in front of someone. AI has made it practical for me to do much more of that directly.

I'm still apprehensive about where all of this is going. But on a personal level, these tools have unlocked me. I can try things I would've struggled to build before, and I keep finding reasons to rethink how I work. That's a lot of what I write about here.