AI-powered operating system for MSK clinics
Flagler Health builds an AI platform for musculoskeletal clinics that automates patient triage, recommendations, remote care, prior authorizations, and revenue cycle management. It serves providers to improve patient outcomes, increase revenue, and reduce administrative costs by integrating with existing EMR workflows. The system helps clinics scale care delivery without added complexity for clinicians.
Lead and scale a distributed engineering organization as VP of Engineering for a Series B musculoskeletal care platform. Own technical strategy, infrastructure, reliability/scalability in a HIPAA environment, recruiting, and cross-functional alignment with Product and Operations.
Design, build, and scale AI and automation systems powering back-office and clinical operations. Own automation roadmap, EHR integrations, and AI tooling while partnering with Engineering, Product, and Ops.
Generate pipeline for Account Executives by identifying and engaging prospective customers through high-volume outreach. Requires 1+ years of sales development or customer-facing experience and strong communication skills.
Owns customer success for healthcare providers focusing on revenue cycle management (RCM) operations in MSK practices. Manages relationships, onboards customers, oversees billing vendors, optimizes front/back-end RCM processes, and delivers performance reports. Requires 7-10 years RCM expertise in orthopedics/procedural specialties.
Builds and maintains highly available backend services and real-time web applications for patient communications and fault-tolerant workflows in a healthcare SaaS environment. Requires expertise in TypeScript/Python, Node.js APIs, distributed systems, and workflow orchestration like Temporal.
Leads strategy, roadmap, and development of internal healthcare technology products, partnering with engineering and data science teams to deliver scalable solutions and track KPIs for business impact.
Builds robust frontend web applications using Vue 3 and TypeScript for real-time patient audio/SMS communications in healthcare. Interacts with Node.js/Express backends in regulated environments; healthcare/SaaS experience preferred.