An abstract path evolving from code blocks into connected AI systems guided by people
Previous work · G2i, 2023 to 2026

A Story of GTM Evolution From Coding to the AI Frontier

A direct motion into frontier labs, a human-data operating layer, and the team discipline that turned a staffing business into four lines.

01

Presence was the top of the funnel.

Cold outbound to frontier-lab researchers doesn't work. Being where they are does.

The presence engine

Events, dinners, and creator distribution put the team where frontier-lab researchers already gather.
Conferences the team produced. React Miami and AI Engineer Miami, end to end. Presence at AI Engineer San Francisco and London Tech Week.
Dinners. VIP dinners in London, New York, and Paris. The part of the funnel no dashboard captures.
Creator channel. Feeding recruiting and human-data pipelines at once.

proof it workedQ2 2026: 1,075 leads, 59% of the quarter, led by AI Engineer World's Fair.

02

The human-data layer.

The company already owned the hard assets and an expert network of engineering. The gap was organizing cohorts into what the labs wanted.

Engineering experts organized in cohorts to deliver coding, reinforcement-learning environments, and human-data work for AI labs
Define the expertise. What are the labs looking for? Engineering expertise, reinforcement learning environments, senior-level human data experts.
Add only the AI-specific owners. GTM, program ops, expert ops — a small team with clear seats, not a giant org on day one.
Sell trusted outputs, not access. The market pays for results that improve models, not for a rolodex of experts.
03

Operating discipline that didn't exist before.

The staffing business ran on instinct and spreadsheets. It left running on a system.

Live RevOps. A real-time pipeline dashboard, an automated weekly leadership brief, and a forecast whose thresholds are tunable without a code change.
Trusted data underneath it. Lead database and hygiene rebuilt so the reporting could actually be forecast on.
Paid acquisition on ROI, not gut. Proved the channel, scaled while the return held, walked away when it didn't.

From inside the org

One thing that really stands out about Patrick is how much he embraces AI and agentic workflows. He's one of the best people I know at using AI to get work done more effectively. He constantly shares what he learns, and because of him, so many people on the GTM team started using AI in their day-to-day work.

Yousra SalehSenior Growth Manager, G2i. Reported to Patrick.

I had the pleasure of learning from Patrick about agentic workflows, AI agents, and the broader systems that enable teams to operate more effectively. His democratic leadership style stood out most. He trusted his teams to execute, empowered them with the right guidance, and avoided unnecessary micromanagement.

Kyle RogersMilitary Veteran, Customer Success and Revenue Leadership. Reported to Patrick.