Freed
Healthcare
VPofEngineering
Neural analysis suggests this role is
optimal for Executive candidates.
“VP of Engineering at Freed. Skills: Engineering leadership, AI-native software, Product execution. Own engineering velocity. Own execution quality”
What You'll Achieve.
Ship ambitious healthcare AI products faster; Protect clinician trust
Industry & Context.
Technical tradeoffs; Hard tradeoffs
What They're Looking For.
Must Have
Experience leading high-performing engineering teams, Technical judgment across architecture, backend, frontend, infrastructure, reliability, security, Hands-on fluency with modern AI development workflows, Coding ability to prototype, inspect, debug, validate, Track record of developing engineering managers, Product and business judgment, Clear operating instincts around org design, accountability, prioritization, planning, execution cadence, High hiring bar, Ability to attract, assess, and close exceptional engineering talent, Direct, high-context communication
Nice to Have
Experience building AI-native engineering organizations, Experience with healthcare, Experience with regulated software, Experience with security, Experience with compliance, Experience with enterprise readiness, Experience scaling engineering teams, Meaningful earlier-career IC experience, Familiarity with observability, Familiarity with incident response, Familiarity with platform engineering, Familiarity with developer productivity systems
What You'll Do.
Own engineering velocity
Own execution quality
Own organizational performance
Build engineering leadership layer
Develop engineering leadership layer
Partner on technical direction
Partner on reliability
Partner on developer experience
Partner on architecture tradeoffs
Champion AI-native engineering workflows
Create pragmatic systems for planning
Create pragmatic systems for PR review
Create pragmatic systems for design review
Create pragmatic systems for testing
Create pragmatic systems for incident response
Create pragmatic systems for cross-pod coordination
Partner with Clinical
Partner with Customer Success
Keep engineering aligned with clinician needs
Keep engineering aligned with company strategy
Keep engineering aligned with market learning
Lead through ambiguity
Lead through incidents
Lead through organizational change
Lead through difficult resource tradeoffs
How You'll Work.
Team & Collaboration
Partner directly with CEO; Partner with CTO; Partner with Product; Partner with Design; Partner with GTM; Partner with Clinical leaders; Cross-functional teams
Communication Scope
High-context communication
Process & Methodology
Planning, Execution cadence
Full Job Description
ABOUT FREED Doctors are overworked, burned out, and leaving medicine in large numbers. Freed combines deep clinician love with frontier AI and intense execution to build products that make clinicians happier. Our first product is an AI scribe that automates medical documentation. Since May 2023, we have grown to 26,000 paying clinicians, generate over 100,000 patient notes daily, and made thousands of clinicians happier https://love.getfreed.ai/b2xGQ1. We are now expanding into patient-facing assistants, Front Desk automation, EHR integrations, patient insights, and the foundation for an intelligent health record. We are looking for fast, ambitious, high-judgment people who want to take care of the people who care for our health. 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 platf
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