Matt Rosier
RevOps leader building practical AI-powered systems for GTM teams
I help revenue leaders improve forecasting, planning, and execution by combining RevOps discipline, financial rigor, and modern AI.
Overview
How I got here and what I’m trying to build.
My background sits at the intersection of finance, revenue operations, and systems thinking. I’ve spent my career helping teams make better decisions with clearer forecasting, tighter planning, and more useful operating rhythms. More recently, I’ve been using LLMs as a collaborative building medium to turn RevOps concepts into working tools and workflows. The goal here is to show what practical, operator-grade AI can look like in GTM systems.
What I Do
A few areas where I tend to add the most value.
Forecasting & Pipeline Management
Operator-grade views of coverage, forecast risk, slippage, conversion, and quarter execution.
Capacity & Planning
Quota models, ramp assumptions, hiring scenarios, and revenue capacity planning built to support better decisions.
AI for GTM Workflows
Practical AI applications for forecasting, seller prioritization, executive briefs, and decision support.
Cross-Functional RevOps Leadership
A finance-informed, systems-oriented approach to GTM operations, planning, and operational clarity.