Nearly two decades in enterprise SaaS. Most of it spent on the question of how to make complex technology feel human.

At Microsoft, I built out product marketing across multiple product areas over nearly seven years, focusing on segment and industry product marketing. I started with the SMB segment, and later drove industry product marketing for retail, manufacturing, and healthcare as part of the Microsoft Teams PMM team. The scale was enormous and the internal complexity was its own discipline. I learned how to operate in organizations where alignment is never given, where the real work happens in the translation between what engineering builds and what customers can actually absorb.

At ServiceNow, I lead PMM for Employee Workflows. While my current focus happens to target HR and IT leaders as the primary buyers, the core challenge remains segment-driven: how do people actually experience work, and what role does technology play in making that experience better or worse? The users are everyone else. That gap between the economic buyer and the end user is where almost all the interesting marketing problems live.

The AI work I've taken on — building automation pipelines, knowledge bases, evaluating and integrating tools into how my team operates — came out of a straightforward observation: the teams that figure out how to embed AI into their actual workflow, not just their tool stack, are going to have a structural advantage. I wanted to understand that from the inside, not just talk about it.