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Customer Success Engineer (Hybrid)

EnsoData

EnsoData

Customer Service, Sales & Business Development
Madison, WI, USA
Posted on Nov 19, 2024

In short: we're looking for a Customer Success Engineer (hybrid or remote) passionate about making healthcare better to help solve technical problems, provide advice for customers, and give product input to the R&D team. This position offers a salary of $80,000-$85,000 and stock options, plus benefits such as paid time off, healthcare insurance, and family and caregiver time away.

Hi, I'm Kelsey, the VP of Customer Success at EnsoData! We're excited to announce that we're looking for a new teammate - a Customer Success Engineer passionate about making healthcare better! We are looking to fill this position soon so be sure to send your resume and highlight any Python experience as well as Customer Success experience in healthcare SaaS!

The mission for the Customer Success Engineer is to build relationships with our customers to help set them up for technical success. We are looking for a team member who is proactive in making the role better, interested in problem solving and, as needed, creating processes for the role.

On a given day, this could include:

  • Piloting customers through their onboarding journey by mapping their integrations, training clinicians, and customizing diagnostic reports
  • Jumping on an issue emailed or texted to you by a sleep tech or physician, delivering rapid and compassionate communication of updates to the customer
  • Investigating, identifying, and documenting the root cause of problems and planning technical solutions; owning the resolution of fixes and customer communication
  • Meeting with clinician end-users of EnsoSleep to review feedback and apply configuration changes to more-closely align the software to their preferences
  • Advising sleep lab staff on best practice workflows for efficiency and accuracy

EnsoData

EnsoData strives to make healthcare more accurate, efficient, and affordable through waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing sleep studies. This results in a simplified and accelerated patient testing, diagnosis, and treatment workflow. Our AI-powered technology has the capability of informing health decisions beyond sleep medicine, from monitoring patient health in the ICU or through wearables, to detecting and capturing seizure data, to providing earlier detection of heart disease, diabetes, stroke, and Alzheimer’s.