Enterprise AE for voice and agentic AI.

Currently in market.

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Work

Thirteen years selling operational infrastructure to enterprises.

Hardware at Fictiv. HR ops at Sapling. Virtual receptionists at Smith.ai. Ghost kitchens at CloudKitchens. Voice agents at Thoughtly.

Different verticals, same shape: complex multi-stakeholder buys, technical evaluations, long sales cycles, and a CRO somewhere asking whether this is real.

Three of those companies were acquired during my tenure. I tend to pick the ones that get bought.

I sell with MEDDPICC and Command of the Message. I'm known for self-sourced pipeline, opening new revenue channels, and surviving technical bake-offs against named voice AI competitors. I work best with a manager who coaches and a sales motion still being written.

Point of view

The next phase of enterprise AI sales isn't about efficiency.

By 2026, 80% of enterprise AI projects fail to deliver promised value. The technology works. The model providers have done their part. What's failing is the layer underneath — the data, the change management, the connection between a working pilot and a business outcome anyone actually feels.

Most vendors are still selling the demo. They pitch on accuracy, latency, and the cost of an FTE replaced. The buyer signs, the pilot runs, and twelve months later the system has quietly drifted into the column of things nobody trusts enough to scale.

The companies that will win in voice and agentic AI are the ones that sell the way enterprises actually buy: a clear business goal, broken into phases the buyer can defend internally, with trust built through transparency at each step and incremental wins delivered against the original problem — not against a moving definition of success.

AI builds trust the same way humans do. Through context, rapport, and consistent delivery. The companies that invest most aggressively in giving their agents real context about the businesses they serve are the ones that get past pilot purgatory.

That's the thesis I sell on. It's also why I'm looking for a 0-to-1 motion at a Series B+ voice AI company that takes this seriously.

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About this site.

This page is a demonstration as much as a portfolio. Built with Claude Code. Hosted on Cloudflare Pages. Generative imagery from Google's Nano Banana Pro. AI hero video, embedded automation, and a voice-cloned Q&A widget shipping soon.

The site itself

Built with Claude Code in a few hours. The page you're reading now.

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AI hero video

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Embedded n8n automation

Inbound contact form runs a live workflow.

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Voice-cloned Q&A widget

Ask my voice clone about my approach to selling voice AI.

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Off the clock

What I do when I'm not selling.

Brazilian jiu-jitsu. MMA training. Adventure motorcycling on long routes. Scuba diving — advanced adventurer cert. Eco-tourism with my wife Catherine. Homebrewing. Cooking. A weakness for cringe comedy.

Most of these have one thing in common: they reward patience, technique, and showing up consistently. The same things that close enterprise deals.

Jiu-jitsu
Adventure moto
Scuba
Catherine & me
Now

What I'm working on right now.

ReadingAlways three books at once and none of them finished. Ask me.
BuildingThis site. An n8n workflow for inbound lead enrichment. A voice clone for the Q&A widget above.
Thinking aboutWhy so many voice AI pilots stall at month nine.

Last updated: May 2026

Contact

Get in touch.

Resume available on request.

Best for: enterprise/strategic AE roles at Series B+ voice AI, agentic AI, or conversational AI companies. Open to mid-market at the right company. NYC-based, open to NYC-anchored hybrid.