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Merchant Premium Support Specialist

Uber

Merchant Premium Support Specialist

Uber

Chicago, IL

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental Leave

Flexible Hours

Learning

Healthcare

Required Skills

TypeScript

JavaScript

Python

About the Role

The Community Operations organization at Uber is responsible for delivering world-class customer support to riders, drivers, eaters, and couriers, and Uber's Centers of Excellence (COEs) are contact management centers dedicated to making that happen 24/7. At our COEs, we hire Community Support Representatives, Managers, and many other important roles to support business needs and continued growth. Employees in the customer operations teams are responding to tickets submitted virtually by customers and offering in-person customer support.

What the Candidate Will Do

  • Demonstrate empathy while solving customer concerns
  • Deliver high quality customer support and customer satisfaction while solving complex inbound or outbound customer issues which may not have a well documented procedure, and where relevant to the line of business, outbound phone support
  • Work on both phone and ticket-based cases, if relevant, and resolve escalations
  • May perform root cause analysis and present findings
  • Highlight common ticket types / issues to Team Lead

Basic Qualifications

  • At least 1 year of experience in retail, hospitality, or customer service in-person or contact center environment
  • Comfortable operating in multiple modalities

Preferred Qualifications

  • Communication
  • Customer Centricity
  • Executional Excellence
  • Problem-Solving
  • Stakeholder Management
  • Teamwork
  • Planning & Organizing

For Chicago, IL-based roles: The base hourly rate amount for this role is USD**$23.50** per hour.

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

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About Uber

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

Reviews

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Mid/L4

Mid/L4 · Data Analyst

3 reports

$209,300

total / year

Base

$161,000

Stock

-

Bonus

-

$203,580

$209,300

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge