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Fleet Account Manager (m/f/d), Uber Eats, Germany

Uber

Fleet Account Manager (m/f/d), Uber Eats, Germany

Uber

Berlin, Germany

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Parental leave

Team events and activities

Competitive salary and equity package

401(k) matching

Comprehensive health, dental, and vision insurance

Flexible Hours

Parental Leave

Equity

Healthcare

Required Skills

JavaScript

React

PostgreSQL

About the Role

The Fleet Account Management team supports delivery service partners across Germany to ensure smooth, reliable, and scalable fleet operations on the Uber platform. The team works on operational performance, partner support, and continuous improvement initiatives across multiple cities. In this role, you will have a direct impact on partner success, courier experience, and overall marketplace reliability.

---- What You Will Do ----

  • Manage day-to-day relationships with a portfolio of fleet partners across multiple cities
  • Support partners in resolving operational issues and improving performance
  • Monitor key performance indicators (KPIs) and support performance improvement initiatives
  • Collaborate with internal teams to ensure smooth execution and partner alignment
  • Contribute to operational projects aimed at improving efficiency and partner experience

---- What You Will Need ----

  • Business-level proficiency in German and fluency in English
  • 2+ years of experience in management consulting, project management, or operations within a top-tier consultancy, tech company, large organization, startup, or similar environment
  • Strong ownership mindset with the ability to independently drive workstreams forward, demonstrating excellent planning, organization, and cross-functional collaboration skills
  • Advanced Google Sheets skills with the ability to analyze and interpret data effectively
  • Excellent written and verbal communication skills, with the ability to share information clearly with a wide range of stakeholders
  • Strong critical thinking skills, intellectual curiosity, and a demonstrated desire to learn and understand complex topics

---- Preferred Qualifications ----

  • Data-driven project management skills and decision making mentality through excellent analytical thinking
  • SQL or other database/programming experience is a plus

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.
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.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

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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