Nearly two decades in enterprise SaaS, most of it on one question: how do you make complex technology feel human?

At Microsoft I built product marketing across several product areas over nearly seven years, with a focus on segments and industries. I started with SMB and later ran industry product marketing for retail, manufacturing, and healthcare on the Microsoft Teams team. The scale was enormous and the internal complexity was a discipline of its own. I learned to operate in organizations where alignment is never given and the work happens in the translation between what engineering builds and what customers can absorb.

At ServiceNow I first led product marketing for Employee Workflows, the part of the platform that shapes how people experience work. The buyers were HR and IT leaders. The users were everyone else. That gap between the economic buyer and the end user is where most of the interesting marketing problems live, and it is still the lens I bring to everything. Today I lead AI strategy and implementation for the global product and solutions marketing organization. The question has shifted from how we market one product to how the whole marketing function operates once AI is part of it.

The AI work started with a simple observation: the teams that build AI into their workflow, not just their tool stack, will have a structural advantage. I wanted to understand that from the inside, so I built the pipelines, the knowledge bases, and the evaluations myself.