About the RoleWe 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
What You'll Bring- Experience leading high-performing engineering teams in fast-moving startup or high-growth product environments
- Strong technical judgment across product architecture, backend systems, frontend systems, infrastructure, reliability, security, and developer productivity
- Hands-on fluency with modern AI development workflows and enough coding ability to prototype, inspect, debug, or validate technical work with AI assistance
- A track record of developing engineering managers, technical leaders, and high-performing ICs
- Strong product and business judgment, with the ability to contribute beyond engineering to roadmap, GTM, customer, and company strategy decisions
- Clear operating instincts around org design, accountability, prioritization, planning, and execution cadence
- A high hiring bar and the ability to attract, assess, and close exceptional engineering talent
- Direct, high-context communication and comfort operating with urgency while maintaining quality and trust
Nice to Haves- Experience building AI-native engineering organizations or internal AI developer workflows
- Experience with healthcare, regulated software, security, compliance, or enterprise readiness
- Experience scaling engineering teams through multiple stages of company growth
- Meaningful earlier-career IC experience in product or infrastructure engineering
- Familiarity with observability, incident response, platform engineering, and developer productivity systems
What We Bring- Competitive salary and meaningful equity in a high-growth company
- A chance to directly shape the future of healthcare AI
- Medical, dental, and vision coverage
- Unlimited paid time off
- Company-sponsored annual retreats
- 401(k) plan
- Commuter stipend for San Francisco-based employees
