Nihon Kohden America

HQ
Tokyo
553 Total Employees
Year Founded: 1979

Jobs at Nihon Kohden America

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One Month AgoSaved
Remote
United States
Healthtech • Manufacturing
The Account Executive sells neuro-diagnostics and monitoring products to neurologists, neurology technicians, IT stakeholders, and healthcare facilities across Colorado, Utah, Wyoming, and Montana. Responsibilities include achieving sales quotas, developing territory business plans, maintaining sales funnels, conducting product presentations and training, managing consultative customer relationships, tracking account purchasing plans, attending trade shows, and collaborating with internal sales resources. The role requires approximately 80% travel and healthcare facility vendor credentialing.
One Month AgoSaved
In-Office
Charlotte, NC, USA
Healthtech • Manufacturing
Sells Nihon Kohden neuro-diagnostics and monitoring products to neurologists, neurology technicians, IT staff, and healthcare accounts across North Carolina, South Carolina, and Eastern territories. Responsibilities include achieving sales quotas, developing business plans, managing sales funnels, conducting product presentations and training, maintaining product and competitive knowledge, attending trade shows, and building consultative relationships with key buyers. The role requires approximately 80% travel and healthcare facility vendor credentialing.
2 Months AgoSaved
Remote
United States
Healthtech • Manufacturing
Designs, implements, validates, and supports wired and wireless networks for patient monitoring systems. Performs site surveys, creates designs and documentation, stages and configures equipment, coordinates installations and cutovers, provides remote and on-site support, mentors junior engineers, and ensures adherence to standards and project timelines.
2 Months AgoSaved
In-Office
Irvine, CA, USA
Healthtech • Manufacturing
Lead development and execution of enterprise AI strategy, governance, architecture, and adoption. Coordinate cross-functional teams to identify use cases, enable responsible AI, support implementations, measure business value, and drive enterprise-wide AI literacy and standards.