Jobs at Verathon

Leads cybersecurity engineering for connected medical devices across the product lifecycle. Responsibilities include security architecture, system threat modeling, regulatory requirement derivation, verification evidence, penetration testing, vulnerability assessment, remediation planning, interoperability security, and audit-ready documentation. The role coordinates with Systems, Software, Quality, and Regulatory teams while maintaining product security plans and supporting FDA, QMS, and medical device cybersecurity compliance.

Manage and improve electro-mechanical manufacturing processes, supporting production, quality, and product development teams. Responsibilities include process validation, tooling and test equipment design, automation, workflow optimization, failure investigations, CAPA activities, tolerance analysis, documentation, and design-for-manufacturing input. The role also supports new product introduction, prototype builds, quality-system compliance, and productivity improvements while applying Lean and Six Sigma principles.

Leads end-to-end program execution for Verathon’s airway medical-device portfolio, including new products, platform extensions, sustaining programs, and VAVE initiatives. Owns budgets, schedules, resources, metrics, risks, and delivery outcomes in a regulated environment. Builds program governance and process capabilities, leads change management, partners cross-functionally with Engineering, Marketing, Operations, and QA/RA, manages external partners, and coaches a team of seven program managers.

Leads a 6–10-person software engineering team developing applications for medical imaging devices. Oversees architecture, implementation, verification, validation, project delivery, agile processes, resource planning, and cross-functional collaboration. Mentors engineers, manages external development resources, and ensures compliance with medical-device standards. Defines software organization strategy, scales engineering capacity, and drives adoption of Generative AI to improve productivity, quality, innovation, and development efficiency.