Agentic-AI Governance Builder.
Revenue Operator.
Navy Veteran.

San Francisco, 2012. As a Private Banker at First Republic, I had a front-row seat to something: the engineers, founders, and operators flooding into the Bay Area were building an entirely different kind of economy. The energy was impossible to ignore.

When MapR offered me a role as an SDR, I took it. That bet dropped me into the Hadoop wave at the ground floor (MapR, Altiscale, Talend, Impetus), the companies laying the distributed infrastructure that would eventually make everything else possible.

Those years were a masterclass in selling complex technology to people who didn't yet know they needed it: Fortune 500 CIOs, data engineering teams, infrastructure buyers. You learn what a system actually does when you have to break it down for someone who will write a check based on what you tell them.

Revenue Operations at Bags In Bulk: first dedicated hire, built the function from scratch: pipeline, forecast, attribution, GTM stack, and AI deployment. Piloted Vertex AI and Gemini for forecasting, segmentation, and churn prediction, before AI was standard equipment in the stack.

Then: Blue Jacket Consultancy, the Josephite Ark, PoolTime. The operator and the architect converging into the same person.

The through-line across all three chapters is the same: you build the substrate before you deploy anything on top of it. You establish the governance model before you scale. You govern before you grow.