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 Product Management for the AI-SDLC.
LaunchDarkly describes itself as the runtime control plane for the AI software development lifecycle, used by more than a quarter of the Fortune 500, and is hiring a VP to run the PM organization end to end under the CPO. [1]
Opinionated defaults for teams shipping agent-written code: auto-guarded rollouts, eval-gated flags, and instant rollback when an AI-generated change regresses a metric.
Audit-ready change history, approvals, and evidence exports for healthcare and financial customers, packaged the way a notified-body or SOC 2 auditor actually asks for it.
A product operating model where PMs prototype same-day with coding agents and every roadmap bet carries a measurable adoption target.
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 Management search or a related AI leadership need, I'd welcome 20 minutes.