About

Cait Batzinger

Product manager, AI-native systems, healthcare technology.

Cait Batzinger is a Principal Product Manager building AI-native software at the intersection of healthcare and artificial intelligence. Her work sits at the technical edge of the discipline: writing evaluation frameworks for clinical AI outputs, specifying multi-command AI architectures, and defining what "good" means for AI products where the stakes are patient safety, not just user satisfaction.

She's spent her career inside healthcare innovation, always in a product role, always working directly with the clinicians and patients a technology is meant to serve. Since finishing graduate school, she's helped scale virtual care through a public health crisis, rebuilt a health plan's member experience from the ground up, and most recently, led the launch of an AI-powered clinical documentation feature that became one of her company's fastest-growing AI products.

There wasn't a playbook for being an AI-native PM when she needed one, so she built her own: a competency framework to track her own growth in the role, an AI agent system that acts as coach and collaborator, and a specification discipline for clinical AI that treats "define what good looks like before you build it" as a first-class product requirement. She writes about what she's learning along the way.

Before healthcare technology, Cait earned a BS in Nutrition and Dietetics and an MPH in Health Policy and Management, both from UMass Amherst. That training in behavior change and systems still shows up in how she thinks about product, even now that her day job is AI architecture.

Outside of work, she's usually outside: in the woods or at the beach with her two dogs, training for whatever race is next, or a few chapters into a new thriller.

Speaking & contact

Cait speaks about AI-native product management, AI in healthcare, and how early-career professionals should think about AI and their work. Connect with her on LinkedIn.