I turn fragmented revenue operations into predictable growth engines: forecasting, comp design, GTM alignment, and support monetization at enterprise scale. Senior Director / VP Revenue Operations, available Q3 2026.
I've operated across the full revenue stack, from forecasting and comp design to support monetization and services scaling. Here's where I've moved the needle.
Forecasting, comp design, deal desk, pipeline visibility. Making revenue predictable and scalable.
Turning cost centers into revenue engines. Built the framework that took support from $85M to $155M.
From $1M to $30M in professional services in 12 months. Operational models that don't break as you grow.
AI in Practice
Operator's instinct, builder's habit. When a process is broken or manual, I build the tool to fix it. A few I've built and use every day.
A two-part revenue system. The diagnostic scores pipeline health and flags where deals stall; the regression model forecasts bookings off the same data, accurate to within plus or minus 10 percent. One catches the problem, the other calls the number.
Email me for a live walkthrough →Scores deal health, surfaces six issue categories, returns AI coaching per deal.
Regression-based bookings forecast, accurate to within plus or minus 10 percent.
A personal agent that handles the coordination work: triage, meeting prep, follow-ups, and commitment tracking. Paired with an automated job-search pipeline that sources roles, scores fit, and tailors materials.
A personal knowledge system that captures notes, documents, and ideas and makes them instantly queryable with AI. It compounds everything I do and lets me park ideas without holding them in my head. It's the repository the other tools pull from.
I build revenue operations infrastructure that actually works, and I'm looking for an organization that wants to do it right. Here's what an ideal fit looks like.
If you're building a Rev Ops function or looking for operating leadership that delivers results, let's have a conversation.