My Work

Background

I was trained as a financial analyst and have spent the past 12 years working in product management at startups, growth-stage companies and enterprises. I've developed expertise in systems thinking and organizational design; marketplace mechanics and development; ad tech and quantitative marketing; and "AI", including both classical ML and NLP techniques as well as contemporary LLM-based techniques. (Although admitting expertise in AI feels about as groundbreaking as confessing that I rely on water to survive.) I'm excited by building high-performing teams and finding product-market fit in unlikely places. You can get my headshot here.

Currently

I'm currently working on Catullan Co, a builder studio for bizarre, boring, or big opportunities. Learn more here.

Track Record

I've experienced the spectrum of bootstrapped startup failures to enterprise successes. My professional bets tend to be more often right than wrong:

  • Experienced failure as a bootstrapped founder. Lessons learned a-plenty.
  • Experienced success as a product executive at a F50 company. Launched a completely new product suite in a completely new market by co-developing with a pilot customer. Importantly, solved cross-functional alignment challenges typical in large matrixed organizations without being a jerk.
  • Experienced success as an early-stage (seed/A) product VP. Scaled a product-eng team from 3 contractors to 15 full time folks, establishing norms for product operations, team development and psychology safety. The team liked the mission, the challenge, and the work.
  • Experienced success as a PM at a legacy media company undergoing digital transformation. Launched a series of media products that provided directly attributable revenue, helping notoriously independent GMs and commission-based ad sellers meaningfully grow their businesses without destroying the consumer experience.
  • Experienced success as an IC PM at a growth-stage startup through its B, C, and D rounds. Hacked with engineers and policy teams to improve trust in a digital advertising marketplace. Most proud of our nerdy early ML that detected ad fraud, illicit content, and malware.