I'm Jenna Minnix. I'm a senior product leader at the intersection of data, product, and AI.

The thread connecting every job I've had is the same problem at a different scale: how do you take complex, messy information and turn it into something a person can actually act on?

I started as an analyst at RJMetrics because I loved data visualization — not just building charts, but the discipline of understanding what question a decision-maker actually needs answered and communicating it in a way that changes what they do next. I learned that analysis without narrative is just noise. And I learned that the best analysts start with the decision and work backward, not the other way around.

When RJMetrics was acquired by Magento and then Adobe, I was the customer-facing rep who helped spin out Stitch Data as a separate company. That's where I became a PM — by building the data pipelines that made good analysis possible in the first place. I moved up one level: from telling the data story to building the infrastructure that generates it.

At Snapdocs I took those skills into mortgage technology — high stakes, complex workflows, real consequences for a wrong diagnosis. This is where the analytical instinct got sharp. When the cost of being wrong is high, you learn to interrogate the data before you trust it.

I joined Beautiful.ai because the problem was one I'd spent my whole career on: how do you take complex information and make it immediately legible? Over five years I grew to lead the full product function — product management, design, and data. I built the synthesis pipelines that turned customer signal into product direction. I built the diagnostic frameworks that turned metric declines into root causes. I built the AI agents that turned my own PM workflow into something that runs overnight without me.

The compounding is visible: pricing research from year one still cited today. Synthesis systems still running without manual work. An agent still operating every night.