Endoluminal Field Specialist — Lung Oncology & Training

Intuitive; San Antonio (TX); On-site; USD 65,000 - 85,000; Full time

Job summary

Intuitive in San Antonio, TX, seeks an U.S. ION Endoluminal Territory Associate to support early adoption and program development for the Ion platform in minimally invasive care.

You’ll assist new users, participate in training activities, and help establish KOLs and programs that demonstrate clinical, economic, and strategic value. You will collaborate with sales and hospital staff to implement site plans, capture usage metrics, and ensure ongoing system utilization while handling learning

Responsibilities

• Provide procedural support to new users to promote safety and effective progression through their learning curves
• Support training activities to include in-services, training labs, attend first case series and development of teams and programs
• Become a clinical expert in the pulmonary oncology space
• Work alongside Endoluminal Sales Representatives to collaborate with senior hospital staff and key physicians in the development and execution of a plan to effectively integrate Ion at new customer sites, ensuring ongoing commitment to and utilization of the system
• Facilitate critical user and procedural data capture to create effective QTI and benchmarking metrics
• Collaboration with daVinci local sales teams to ensure consistent alignment and communication with internal and external stakeholders
• Responsibly manage administrative tasks, SFDC management, submission of expense reports, etc.

Job description

Intuitive in San Antonio, TX, seeks an U.S. ION Endoluminal Territory Associate to support early adoption and program development for the Ion platform in minimally invasive care.

You’ll assist new users, participate in training activities, and help establish KOLs and programs that demonstrate clinical, economic, and strategic value. You will collaborate with sales and hospital staff to implement site plans, capture usage metrics, and ensure ongoing system utilization while handling learning