Intuitive Autonomy
Staff Product Manager - GI Platform
Sunnyvale, CA, United States · Staff+ · Contract
Sponsorship not specifiedDetected 1 day ago
Data VisualizationProduct ManagementProduct StrategySalesforceBusiness DevelopmentOutbound SalesPatient CareMedical DevicesResearchLeadershipCommunicationCollaborationPublic SpeakingMicrosoft Office
About the role
- Nearly 30 years later, that question still fuels everything we do at Intuitive.
- As a global leader in robotic-assisted surgery and minimally invasive care, our technologies like the da Vinci surgical system and Ion have transformed how care is delivered for millions of patients worldwide.
Responsibilities
- the government's licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan ("TCP") (note: typically adds 2 weeks to the hiring process).
Requirements
- Required Skills and Experience
- Self-starter with ability to take leadership in a fast-paced environment.
- Ability to work in surgical labs and hospital patient care areas is required.
- Ability to travel 30%.
- Some international travel may be required.
Nice to have
- Preferred Skills and Experience
- Masters degree in life science, engineering or MBA preferred.
Skills
- It started with a simple idea: what if surgery could be less invasive and recovery less painful?
- to make surgery smarter, safer, and more human.
- The Future Forward organization is Intuitive's advanced concepts group.
- The Staff Product Manager, Future Forward will be responsible for product management of novel robotic platforms and technologies.
Benefits
- We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity.
Company info
- Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S.
Equal opportunity
- Intuitive is an Equal Opportunity Employer.
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This listing is sourced directly from Intuitive Autonomy's careers page and normalized into a canonical job model.