Noah Medical

Noah Medical

Customer Education Manager - West Coast

Remote, United States · Senior

Sponsorship not specifiedDetected 6 days ago
LogisticsRoboticsMedical DevicesProblem SolvingMicrosoft Office

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Our commercial organization is still in its early stages, so priorities can change quickly.
  • Success here takes initiative, practical problem solving, and a commitment to seeing things through.
  • Day In The Life Of Our Customer Education Manager:

Responsibilities

  • Work closely with the Area Vice President to plan training, demonstrations, and account launches that support regional sales priorities and customer adoption.
  • Lead initial account training and support the first day of cases. Document remaining training needs and hand responsibility for ongoing development to the assigned field team.
  • Manage event logistics, equipment setup and testing, and preparation. Follow through after each event, meet deadlines, and use company resources responsibly.
  • Strong clinical and technical knowledge, with the ability to explain complex concepts, teach adult learners, solve problems, and manage projects.
  • Ability to work independently, build relationships across teams, adapt when priorities change, and follow through on commitments.

Requirements

  • Ability to lift up to 30 pounds with or without reasonable accommodation.
  • Bachelor's degree in a relevant field or equivalent professional experience.
  • Proficiency with Microsoft Office and Google Workspace.

Nice to have

  • Proximity to a major airport is preferred.
  • Candidates based in San Francisco are preferred.

Compensation

  • The Pay Range for this position is listed.
  • Noah Medical offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules.
  • Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors such as location as permitted by law.
  • Total compensation may also include additional forms of incentives. </spa

Benefits

  • Noah Medical is building the future of medical robotics.
  • 5+ years of experience in medical devices, biotechnology, pharmaceuticals, or healthcare, including 2+ years in clinical education, clinical specialist, training, or learning and development roles.
  • You will help improve the customer experience and build education programs that grow with the company.

Company info

  • Our next generation robotic platform targets early diagnosis and treatment of patients across multiple indications.
  • We are looking for exceptional engineers and key team members.
  • We are looking for talented, motivated and ambitious team members to revolutionize robotic surgery.
  • Our incredibly talented team of engineers, innovators, and industry leaders bring years of experience from the top healthcare companies in the world, including: Intuitive, Auris, Stryker, Johnson & Johnson, Boston Scientific, Verb Surgical, Mako, Think Surgical, Medrobotics, and Hansen.
  • Create and update approved training materials, assessments, and digital learning resources with partners across the company.

This listing is sourced directly from Noah Medical's careers page and normalized into a canonical job model.