Virtual and in-person primary care platform with mobile-first architecture
Circle Medical operates a hybrid primary care delivery model (virtual + in-person) supported by a mobile-native tech stack. The team is heavily weighted toward healthcare operations and engineering, with 7 active healthcare roles and 6 engineering roles in an accelerating 23-role hiring cycle. Current technical focus spans Android modernization (Jetpack Compose migration, feature parity across iOS/Android) and conversion optimization in the booking flow—suggesting prioritization of patient acquisition efficiency alongside platform consolidation.
Notable leadership hires: HR Director
Circle Medical is a primary care provider delivering care through a combination of virtual visits and in-person appointments, based in San Francisco since 2015. The company operates at 201–500 employees and serves patients across the United States and Canada. The service integrates scheduling, patient management, and multi-platform delivery (iOS, Android, web) via a GraphQL backend on PostgreSQL. Current operational challenges center on scaling the Android application, maintaining HIPAA compliance across regions, and managing compensation structures across geographies—typical pressures for a growth-stage healthcare technology company balancing regulatory rigor with talent retention.
Frontend: React, Next.js, iOS, Android (Kotlin, Jetpack Compose). Backend: GraphQL, Ruby on Rails, PostgreSQL. Infrastructure: CI/CD, ADP (HR/payroll). Design tools: Figma. The stack reflects a modern, mobile-first approach to healthcare delivery.
San Francisco, California. The company actively hires in the United States and Canada.
Circle Medical's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.