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 Head of Enterprise Applied AI.
SoFi is hiring a Head of Enterprise Applied AI to lead enterprise-wide AI adoption across Engineering, Product, Data, IT, Operations, and business functions, and to make sure AI investments deliver measurable impact. [1]
An intake-to-impact pipeline for AI use cases, ranked by hours saved and risk, the same playbook that saved client teams 3 to 20 hours per employee per week.
Copilots for support and operations with retrieval over policy and product knowledge, compliant logging, and QA sampling built in.
Agentic coding standards, harnesses, and measurement for SoFi engineering, which cut project timelines 30 to 90% in my client work.
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 Sr Director, Head of Enterprise Applied AI search or a related AI leadership need, I'd welcome 20 minutes.