The GTM operator who closed the deals.
Then built the AI layer that made it repeatable.
I'm Jay Campbell. I spent seven years in enterprise GTM watching reps lose deals because the intelligence they needed arrived too late, in the wrong format, from the wrong tool.That friction became an obsession. So I started building.
01 / The receipts
Built the systems. Closed the deals.
Most "AI for sales" is a wrapper that writes follow-ups. I build the operating layer underneath the rep - signal in, action out.
02 / Background
The through-line.
From AE carrying a bag to building the infrastructure for entire revenue orgs.
Mira started as a personal experiment - surface signals, handle the operational layer of my own work.
DealIQ OS became a structured product for AI-powered deal coaching. MEDDPICC scoring from call transcripts, deal risk surfaced before pipeline review, not after.
Selling /AI is the community for sellers navigating the shift - frameworks, workflows, and operating models. Not theory. Not tool reviews.
03 / Shipped
Proof of output.
Four products built and launched solo in 2025 and 2026. Not a roadmap. Shipped, live, and in production.
DealIQ OS
Custom prompts that extract structured MEDDPICC data from every call, automatically and repeatably. No more rep vibes in the CRM.
Selling /AI
One practical AI sales motion per week. No theory. No tool reviews. Over 12,000 B2B sellers subscribed.
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04 / Thesis
"Your CRM is filled with feelings, vibes, and hope. It should be filled with facts. Not feelings."
Fields filled after the call, from what sticks. Not from what was said. The gaps don't surface until it's too late.
Someone who takes your meetings is not someone who can move the deal. Most pipelines don't know the difference.
You find out a deal is dead at pipeline review. It went dark three weeks earlier. The action window is already closed.
DealIQ OS extracts MEDDPICC signals directly from call transcripts and pulls direct quotes from the call to back every field. Automatically. Without rep memory in the loop. Deal gaps surface when there's still time to address them. Not after.
Read: why your pipeline data is already wrong→05 / On the record
What people say.
Jay is good at his job for a simple reason: he actually thinks about the customer's situation before pitching anything. He closed deals that a less patient AE would have fumbled.
Jay's ability to strategically analyze and prioritize his book of business is unmatched. Sharp, competitive, determined, and unapologetically direct. If you're building an impenetrable team - Jay is your man.
06 / Let's talk