Most GTM problems aren't strategy problems. They're execution problems. We build the AI-native systems that connect Marketing, Sales, and Ops into something that actually compounds.
Built revenue infrastructure at
Finch
OH.io
Proton.ai
Hanzo
GovOS
// The Engine
A continuous flywheel
Every RevOps function we've built runs on the same engine. Intelligence sharpens execution. Execution generates data. Data improves intelligence. The compounding is the point.
RESULTS
Intelligence
Execution
Optimization
Intelligence
ICP definition, buyer signal research, and competitive positioning. The foundation every motion is built on.
Execution
Outbound engine, sequences, CRM workflows, and rep enablement. The system that generates pipeline.
Optimization
Attribution, health scoring, and analytics that surface what's working. Each cycle gets more efficient.
// What This Looks Like in Practice
Not theory. Results.
The data going into the system determines everything coming out. Most teams skip that step. That's why their AI looks generic and ours doesn't.
Finch
First RevOps Hire
The Situation
The CRM had no consistent definition of a customer. Deals closed, but no one could describe who was buying or why. The data existed. It just lived in five disconnected systems telling five different stories.
What We Built
Built the data infrastructure to surface patterns across closed-won deals. Identified the ICP hiding in the noise. Aligned Marketing, Sales, and leadership on a single customer definition.
OH.io
RevOps Director
The Situation
A portfolio-level mandate: deploy AI-native GTM infrastructure across multiple companies simultaneously, with no existing playbook and no runway for slow iterations.
What We Built
Led the build-out from scratch. Deployed tooling end-to-end: from integrations to CRM architecture to operational workflows, across the full portfolio without breaking anything.
"Your competitive advantage won't come from having more tools. It'll come from having cleaner systems feeding the AI layer."
// Tech Ecosystem
Messy CRM? Data integrity issues?
Seen it. Fixed it.
Deep expertise in HubSpot and Salesforce. Comfortable in Attio, Lightfield, and whatever you're running. From pricing strategy and ICP definition through launch execution, outbound, and revenue reporting: we've run the full GTM lifecycle. CPQ, commission architecture, AI-native enrichment pipelines, and everything in between.
You don't need to change your tools. You need someone who knows how to make them work together.
→ HubSpot Enterprise admin since 2019
→ Salesforce CPQ + commission architecture
→ Clay enrichment pipelines at scale
→ AI tools deployed to live CRM instances
→ Multi-touch attribution across 3 CRMs