Wearable cardiac monitoring devices with cloud analytics for arrhythmia detection
iRhythm manufactures FDA-regulated wearable biosensors paired with cloud analytics to detect cardiac arrhythmias, operating at manufacturing scale (1,001–5,000 headcount) with active projects spanning device firmware, secure manufacturing software, battery-operated IoT embedded systems, and EHR integration. Hiring velocity is steady across engineering, sales, and ops, with a Chief Data Officer role reflecting the company's investment in algorithmic differentiation. Pain-point clustering around SOX/medical device cybersecurity compliance and high-volume manufacturing efficiency suggests a company scaling production while tightening governance.
Notable leadership hires: Chief Data Officer
iRhythm is a public medical device manufacturer headquartered in San Francisco, founded in 2006. The company produces Zio, a wearable cardiac monitoring platform that combines hardware biosensors with proprietary cloud-based algorithms to detect, predict, and prevent arrhythmias. The tech stack reflects dual operational complexity: enterprise software (Salesforce, Workday, QAD ERP) manages commercial operations, while industrial control systems (SCADA, MES, Allen-Bradley, Siemens) and IoT embedded platforms (Nordic Semiconductor, Bluetooth Low Energy, embedded C) govern manufacturing. Active projects center on scaling production (failure analysis, CAPA implementation, cost-down optimization), securing manufacturing software against medical device cybersecurity standards, and expanding system integration (EHR connectivity, secure device–enterprise interfaces). The company sells into cardiology, electrophysiology, primary care, and urgent care settings across U.S. health systems.
Enterprise: Salesforce, Workday (ERP + recruiting), QAD, Excel. Manufacturing: SCADA, MES, Allen-Bradley PLC, Siemens controllers, Ignition, WinCC. Embedded/IoT: Nordic Semiconductor, Bluetooth Low Energy, C, Git. Data: Python. Currently adopting additional Excel capabilities.
Core projects: Zio platform adoption; wearable biosensor commercialization; embedded test automation for battery-operated IoT devices; manufacturing software security; EHR integration; failure analysis; CAPA/compliance implementation; cost-down optimization; system integration testing.
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