VP of Engineering

About the role

We are hiring a VP of Engineering to build and lead Freed's high-velocity, AI-native engineering organization. Your mandate is to help Freed ship ambitious healthcare AI products faster, with clearer ownership, stronger technical leadership, and consistently high product quality. This is not a traditional engineering executive role focused only on process, people management, or keeping systems running. You will turn product ambition into an engineering organization that moves quickly, protects clinician trust, and makes hard tradeoffs explicit. You will lead engineering managers and technical leaders across multiple product areas, partner directly with the CEO, CTO, Product, Design, GTM, and Clinical leaders, and help shape how AI-native software teams operate. We need a technical operator, not a detached manager. You do not need to be the best engineer in the room or personally own production features, but you must stay close to implementation reality: reading code, evaluating technical tradeoffs, using modern AI coding tools directly, and challenging strong engineers from real technical context. How You'll Have Impact Own engineering velocity, execution quality, and organizational performance across product pods and platform/infrastructure work Build and develop a strong engineering leadership layer, including EMs, tech leads, and senior ICs Partner with the CTO and technical leaders on technical direction, reliability, security, developer experience, and architecture tradeoffs Champion AI-native engineering workflows, including agentic coding, AI-assisted review, test maintenance, production triage, and rapid prototyping Create pragmatic systems for planning, PR review, design review, testing, incident response, and cross-pod coordination without slowing the company down Partner deeply with Product, Design, GTM, Clinical, and Customer Success to keep engineering aligned with clinician needs, company strategy, and market learning Lead through ambiguity, incidents, organizational change, and difficult resource tradeoffs with clarity and urgency