AI-First RevOps Executive · PE-Backed B2B SaaS
I build AI-first revenue operations systems for PE-backed B2B SaaS companies. Not optimized functions — operating systems that scale without headcount.
Background
My career has been a repeating pattern: take a fragmented, reactive RevOps function and rebuild it as a proactive, AI-native operating system that scales without headcount. Five times across PE-backed and enterprise environments.
At Advantive — a PE-backed vertical software platform — I serve as VP of Revenue Operations on the executive committee, leading an org across GM Strategy & Performance, Revenue Enablement, Revenue Systems, PS Ops, and Revenue Analytics.
Before Advantive, I was a partner at Unicorn Revenue Operations, a GTM advisory practice, and built RevOps functions across marketing, renewals, sales, pricing, deal desk, order management, and billing at multiple PE-backed SaaS companies.
I've been featured on the RevOps Rockstars Podcast, spoken at Snowforce, and published on AI infrastructure and GTM operating models.
Framework
Three accountability domains designed as one integrated system, targeting AI maturity Level 3 — autonomous, agentic workflow execution across the full GTM motion.
ENGINE 01
The source-of-truth layer. Pipeline visibility, forecast accuracy, board reporting, and GM-level accountability — replaced with live CRM queries, not manual exports.
ENGINE 02
The scale layer. Enablement, onboarding, and content infrastructure that compounds — built for agentic assembly, not manual production.
ENGINE 03
The execution layer. Quote-to-cash, comp architecture, PS operations, and deal desk — designed for AI-native execution, not human-in-the-loop at every step.
Writing
AI Infrastructure for GTM Teams
Building Agentic GTM Operating Models
RevOps Rockstars Podcast
Snowforce — GTM AI Operating Models
If you're building or investing in PE-backed B2B SaaS and need an AI-first GTM operator, start here.
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