About The Role
The Customer Advocacy and Solutions organization at Uber is responsible for delivering world-class customer support across all modalities. Within this organization, the AV Remote Support team operates at the intersection of operations and autonomy, providing real-time support to autonomous vehicles in live environments.
As an AV Remote Support Specialist , you will operate as a frontline specialist handling complex and ambiguous real-time AV scenarios, requiring strong judgment and technical aptitude. This role aligns with advanced support expectations, requiring decision-making in edge cases and collaboration across stakeholders.
What You Will Do
- Provide real-time intervention using camera and sensor feeds to support AV operations
- Guide vehicles through edge-case scenarios (e.g., road closures, obstructions, unusual traffic behavior)
- Exercise judgment in situations without clearly defined procedures
- Handle escalations and high-complexity incidents as part of core responsibilities
- Document incidents and provide detailed reports for downstream teams
- Communicate with cross-functional stakeholders to resolve issues
- Uber Move", sans-serif; font-size: 12pt; font-style: normal; font-variant: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline; white-space: pre;">Identify recurring issues and contribute to root cause analysis
Basic Qualifications
- Ability to work shift schedules, including evenings, weekends, holidays, and overnight shifts
- Ability to pass required certification training
- Understanding of U.S. traffic laws
- At least 1 year of experience in operations, technical support, product testing, or similar roles
- Must possess and maintain a valid driver’s license* issued by a U.S. state or territory, if assigned duties that require licensed-driver judgment or if a license is legally or operationally required for the assigned work.
Preferred Qualifications
- Strong judgment and decision-making skills
- Ability to maintain strong decision-making and focus during critical real-time operational incide
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