Remote Solutions Engineer — Healthcare IT & AI Diagnostics

Heartflow; Oregon; Hybrid; USD 90,000 - 120,000; Full time

Job summary

HeartFlow is a medical technology company pioneering AI-driven non-invasive cardiac testing to improve diagnosis and management of coronary artery disease.

The Solutions Engineer will guide customers through implementing our SaaS non-invasive diagnostic technology in hospital environments, collaborating with clinical and engineering teams onsite, and addressing data protection concerns for medical imaging data over cloud platforms.

Qualifications

• Eng or B.S. in Computer Science preferred
• 2+ years working in Linux environment
• Knowledge of virtualization technologies required
• Experience supporting large-scale websites and/or web-based products
• 2+ years’ experience working in the health care industry
• Demonstrated customer facing skills

Responsibilities

• Guide HeartFlow’s customers through implementing our SaaS non-invasive diagnostic technology
• Be a customer resource for information on HeartFlow’s technology, network protocols, security and data protections for medical imaging data
• Contribute to worldwide adoption of our FFRCT product by responding to customer inquiries and issues
• Collaborate with a global Field Engineering team to share information and leverage group wisdom
• Work independently with discipline and accountability
• Provide prompt documentation and resolution of issues; maintain knowledge base
• Capture customer feedback into the CRM and help drive improvements in technology

Skills

Customer-facing skills

Team collaboration

Ability to work under pressure

Healthcare IT knowledge

Education

B.S. or Eng in Computer Science

Tools

HL7

PACS

DICOM

VMware

Job description

HeartFlow is a medical technology company pioneering AI-driven non-invasive cardiac testing to improve diagnosis and management of coronary artery disease.

The Solutions Engineer will guide customers through implementing our SaaS non-invasive diagnostic technology in hospital environments, collaborating with clinical and engineering teams onsite, and addressing data protection concerns for medical imaging data over cloud platforms.