Product decisions
get messy.
That's where I start.
The PM who reads the schema before the PRD.

About
Career
Ticketmaster
Product Manager
Checkout & Reporting
TheScore
Technical PM
Sports API Platform
Lululemon
Product Manager
Merchandise Systems
Certifications
The work
I've spent four-plus years making product decisions that live or die by what the data actually says — not what stakeholders assume it says.
The path
That work has taken me from ticketing infrastructure at Ticketmaster, where the margin for error on high-demand sale events is essentially zero, to analytics tooling at TheScore, where fan-facing product decisions move fast and instrumenting them correctly matters just as much as shipping them. Most recently at Lululemon, I worked inside the Merchandise Planning & Allocation systems that determine what shows up in stores — where a bad assumption upstream costs inventory, not just a sprint.
The focus
Across all three, the through-line was the same: someone needed to bridge the gap between what the data team built and what the product team could actually use. That's the problem I'm drawn to, and it's why I've drifted toward data platform and self-serve analytics as a focus area.
Capabilities
Things I've built with AI
01
Sketch out a feature's prompt, context, and call volume, and get a live estimate of the token spend across today's frontier models — before you write a line of code.
Open tool →02
A tongue-in-cheek dating quiz for LLMs. Answer eight questions about your use case, budget, and privacy needs, and it matches you with your ideal model for your personality.
Open tool →View all projects
& tools →
Get in touch
Whether you're hiring, building something interesting, or want to swap notes on product and data — I'm always open.