I build the teams that get AI adopted inside complex enterprises: forward deployed engineering, professional services, and post-sales. I started as a software engineer and still think like one.

I started as a software engineer. I still think like one: how software gets built, how it breaks, and what it takes to get it adopted inside a large enterprise.
At IBM, I led multi-year ERP deployments in regulated industries across nearly 40 countries. Sales teams pulled me into deals because I could tell a CIO, honestly, what their investment would produce. I was the person who made the quota carrier credible.
At Alight, under private equity ownership, I scaled a Workday practice from a $10M acquisition to a business approaching $200M. The board did not care about effort. It cared whether the business was getting more valuable, and I still run every decision through retention, margin, and the investor story.
At Slack, I built a team of 65+ forward deployed technical architects through the IPO and the $27B Salesforce acquisition. Then came Upwork and G2, where everything converged: one operating model with AI running across the customer lifecycle.
Early in my career, one misplaced semicolon cut a DELETE statement off before its WHERE clause. Instead of two rows, it wiped more than 400,000 production employment records. We recovered everything. Then my manager pulled me aside.
Since then, I design organizations to engineer mistakes out, not just fix them.
You won't be remembered for the mistakes you make, only for the ones you make twice.My manager, roughly 400,000 records later
Systems that hold under real load, with failure modes designed for in advance.
Delivery that works no matter who is in the room.
Named owners, measured outcomes, and postmortems that change the design.
Technical teams that work beside customers and turn what recurs into product. Built at Slack and G2.
Prediction, agents, and the data underneath them, running from onboarding to renewal.
Onboarding, retention, and expansion designed so revenue compounds.
Honest answers to what an investment will produce, so delivery never inherits a promise it cannot keep.
I arrived to no implementation function and retention near 50%. I built the services business, pricing, and a delivery model across three regions.
Grew a pilot into an $11M annual business and a team of 65+ forward deployed architects on three continents. At Rivian, every vehicle on the production line had its own Slack channel wired to real-time alerts.
Built the delivery framework and go-to-market from a 60-person acquisition. Clients included UPS, Goldman Sachs, and Home Depot.
Co-launched G2's commercial MCP strategy, opening G2's data to AI agents as buyers.
ai.g2.com ↗I lead teams that build with AI, and I build with it myself.
An app that preserves a person's stories, voice, and values so the people they love can keep hearing from them. I'm building it for my son. React, deployed on Vercel.
I speak and write about what it actually takes to get AI adopted inside complex organizations.