I'm Stephen Mordue, an AI-native product and technology leader in San Francisco with 15+ years across medical devices, B2B / B2C apps, and consumer electronics. I build AI applications that ship and move margins, and I'd like to do that as your VP of AI Applications / VP Product.
Quanata engineers risk prediction and prevention, risk-focused acquisition, and a full-stack, increasingly AI-native digital insurance platform for State Farm and HiRoad, and is hiring a leader to define portfolio vision, strategy, and operating model. [1]
Turn driving-behavior signals into short, personalized coaching moments in-app, measured by risk-score movement over 90 days, the same sensor-to-behavior loop I ran on wearables at Kenzen and Instabeat.
LLM copilots for internal teams that cite their sources and log every decision, built to the compliance bar of a regulated carrier from day one.
Model-driven targeting and creative tests for risk-focused acquisition, with a weekly experiment cadence and a clear customer avatar per segment.
Also: early team at AliveCor (FDA 510(k) files, HIPAA), Stryker Endoscopy, Abbott Diabetes Care, and Micronics; VP of Product at Kenzen; 6 patents; B.S. Mechanical Engineering, University of Washington. I work AI-native every day in Cursor, Claude Code, ChatGPT, Copilot, and Grok.
Meet the leaders who own the outcomes, inventory live AI efforts and data, and agree on 3 measurable target metrics. Ship one working prototype against a real workflow.
Take the top use case to a production pilot with evals, guardrails, and a baseline. Publish a prioritized AI roadmap with build, buy, or partner calls for each capability.
Turn the pilot into a paved road other teams can reuse, report results in dollars and hours, and line up the next two bets with owners and dates.
If this is useful for the VP, Product search or a related AI leadership need, I'd welcome 20 minutes.