Enterprise Account Executive, Health Systems, Uber Health
Posted 2 months ago Expired
This job has expired
Looking for a job like Enterprise Account Executive, Health Systems, Uber Health in or near New York, NY? Upload your resume and we'll notify you when similar positions become available.
Upload Your ResumeAbout This Role
This Enterprise Account Executive role will drive the acquisition of new Uber Health partnerships with health systems. The goal is to uncover new opportunities, win deals, and assist with implementations to embed Uber Health within complex health systems.
Responsibilities
- Drive the acquisition of new Uber Health partnerships across a book of health systems
- Uncover new opportunities and win deals
- Help with implementations and go-lives
- Embed Uber Health within complex health systems
- Identify and activate new use cases, locations, and stakeholders across various departments and affiliated hospitals and clinics
- Sell into a portfolio of key hospital systems
- Navigate decentralized decision-making
- Find and enable champions for adoption
- Secure enterprise-wide adoption
- Engage with executive leadership to drive stickiness and unlock substantial recurring revenue
Requirements
- 5+ years of client-facing B2B experience in healthcare sales and/or technology sales (SaaS, API, software sales)
- Proven history of meeting or exceeding quotas and managing multi-million dollar, complex, multi-stakeholder deals
- Bachelor's Degree
Qualifications
- Bachelor's Degree
- 5+ years of client-facing B2B experience in healthcare sales and/or technology sales (SaaS, API, software sales)
Nice to Have
- Previous experience selling directly into large health systems or Integrated Delivery Networks (IDNs)
- Previous experience selling solutions to value-based care organizations
- Experience in the healthcare transportation, non-emergency medical transportation (NEMT), or social determinants of health (SDoH) spaces
Benefits
About Uber
Uber's Global Scaled Solutions (Uber AI Solutions) powers operations and technologies including data annotation, generation, and evaluations for AI/ML, app testing, localization, and map editing, leveraging advanced technology with human intelligence.