Orthopedic medical devices, bracing, and surgical navigation technology
Enovis is a public orthopedic medtech company spanning bracing, implants, and surgical navigation. Its stack pairs C++, Unity, and Python for real-time navigation software with SolidWorks, NX, Mastercam, and Agile PLM for device engineering, all on a layered Oracle ERP estate (EBS R12, JD Edwards) plus Kinaxis and SAP IBP. Hiring is sales-led, and recurring pain points around DME inventory, AR aging, and benefit verification point to revenue-cycle strain.
Notable leadership hires: Outbound Lead
Enovis develops orthopedic medical technology aimed at restoring patient motion, including bracing, implants, and integrated digital tools. Specialties cover orthopedics and animal health. Headquartered in Wilmington, Delaware, the public company employs 5,001–10,000 people and recruits across the United States, Mexico, India, Portugal, France, Germany, Australia, and South Africa. Operations combine in-house device manufacturing under ISO 13485 with CNC machining, field sales territories, and DME programs serving surgeons and clinicians.
Enovis uses C++, C#, Python, Unity, TypeScript, and Vue for software, SolidWorks, NX, and Agile PLM for engineering, and Oracle E-Business Suite, JD Edwards, Kinaxis, SAP IBP, Salesforce, and Power BI for operations.
Job posts point to orthopedic surgical navigation and visualization systems, real-time apps tied to optical navigation hardware, knee arthroplasty solutions, new product development, and DME inventory program improvements.
Enovis is headquartered in Wilmington, Delaware, and hires in the United States, Mexico, India, Portugal, France, Germany, Australia, and South Africa.
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Enovis'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.