Senior product leader specializing in AI product development, platform scale, and PE-ready product organizations.
I build the operating system behind durable product growth.
Repeatable outcomes, not happy little accidents.
Architected and launched an AI tax compliance platform from zero, meeting all delivery projections and unlocking continued Insight Partners investment.
Led product strategy and launch for a Fortune 500 serving AI-powered email product that generated $14M in first-year annual recurring revenue at NASDAQ: TTGT
Built the product operating model and governance infrastructure that supported a $1.5B Thoma Bravo private equity acquisition.
Fifteen years scaling B2B SaaS — from startup through PE acquisition, public market M&A, and multiple AI product launches.
Most of that work isn't visible in a demo. It's strategy, governance, instrumentation, and the operating model that makes shipping at scale feel normal instead of controlled chaos.
Let's make it happen0→1 builds, GenAI governance, monetization strategy, and commercial launch. Validated at Series B through public market scale.
Operating models, roadmap accountability, and the instrumentation that turns shipping into a repeatable system.
Career ladders, talent pipelines, cross-functional alignment.
Shipping is easy. Scaling is the work.
But once proper organizational structure in place, scale is inevitable.
Instrumentation before roadmap.
Quality decisions are impossible without proper data.
Business outcomes over feature counts.
Roadmaps should be traceable to a revenue, retention, or expansion outcome. Know where you want to go.
People compound.
Invest in people, receive dividends.
I studied Sociology. I lucked out, it turns out building SaaS products is mostly just understanding why groups of people do what they do.
My background in human systems shows up in how I read organizations, stakeholder dynamics, and behavioral patterns that make or break adoption.
Any product leader can optimize for what to build. I optimize for who has to change behavior for it to succeed — and work backwards from there to guarantee success.
If you're scaling a product org, navigating M&A, or trying to turn an AI investment into revenue — a quick conversation will tell us both what we need to know.