SaaS sales leader who builds his own AI tooling.
Fifteen years closing enterprise deals into the world's biggest hotel brands. Now also shipping the AI tools sales teams will rely on.
Track Record
Fifteen years selling SaaS into the most complex buying committees in hospitality.
How I sell
Diagnose first, recommend second. Most sellers lead with their product; the deals that actually close start with a sharper diagnosis of the buyer's problem than the buyer has on their own.
What I learned the hard way
The buyer isn't one person. The economic buyer signs, the champion fights, the user tolerates, and the skeptic kills deals in committee. You either map all four or you wonder why it died at procurement.
Why hospitality
Hotels are operationally messy, technologically conservative, and increasingly under pressure to prove ROI on every line item. That gap between buyer skepticism and what AI can actually deliver is where the next decade of SaaS sales will be won.
Sales Tooling
The AI tools I built because the off-the-shelf stack doesn't close deals.
Every one of these started as a problem I had as a seller, not a side project. They run on my laptop today.
Call Coach
Live MEDDICC and Challenger overlays during sales calls. WhisperKit on-device transcription, sub-second prompts to the rep.
Insight · What it taught me: the highest-leverage moment in a sales call is the one you usually miss. Coaching has to be fast enough to nudge the next sentence.
Meeting Co-pilot
Auto-detects commitments the rep made on the call. Drafts the follow-up email, files the CRM update, schedules the next-step reminder.
Insight · What it taught me: the deal-killer is rarely the call itself. It's the 48 hours after, when the rep moves on and the buyer drifts.
AI Sales Assistant
Bundled CRM stack: account research, opportunity scoring, MEDDICC qualification, post-meeting commitment detection, follow-up automation.
Insight · What it taught me: most reps don't have a pipeline problem, they have a context problem. Better context beats better cadence.
Prospector
End-to-end outbound pipeline: account selection, ICP matching, persona research, sequence drafting in my voice, suppression and deduplication.
Insight · What it taught me: outbound at scale fails because every step compounds. Get one wrong and the whole sequence rots.
Other Work
Range, by way of weekends.
Things I've shipped outside the sales-tooling lane. Different problems, same building muscle.
Klause Trader
Multi-strategy edge-engine portfolio system. PEAD, Form 4 insider clusters, supplier-graph signals, IPO radar, USPTO patent scanner. Hand-rolled conviction model with tiered fractional rotation.
Notification Consolidation
Replaced 10+ daily automated emails with a single morning briefing and one EOD digest. Per-source cards, money-blur on shoulder surf, dark/light mode aware.
Bill Pay System
Plaid-reconciled bill discovery, email parser for new billers, HTML dashboard. Catches mis-categorized charges and surfaces forgotten subscriptions.
Travel Automation
Flight tracker with airline filtering, hotel price scanner across Amex FHR, miles scraper across United/Delta/American, family-trip workflows.
About
I sell. I build. I think the next decade of SaaS sales belongs to people who do both.
I've spent fifteen years selling SaaS into hospitality. Hotel chains, resort groups, brand HQs, the messy committees that decide what tech actually gets deployed. The work taught me that the deal isn't won in the demo. It's won in the diagnosis you do before the demo, the commitments you track after the call, and the follow-up that actually shows up.
Two years ago I started building the tools I wished I had as a seller. Real-time call coaching. A meeting co-pilot that detects commitments and drafts the follow-up before I've closed the laptop. A prospector that actually sounds like me. Now I write more code in a week than most reps will write in their career, and the gap between buyer skepticism and what AI can deliver is the most interesting market I've ever sold into.
Based in Henderson, Nevada. Dual citizen, Canada and the United States. Married twenty years this fall. Two daughters, one heading to the University of Toronto in the fall. One grey cat.