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Director, Engineering - Uber Direct

Uber

Director, Engineering - Uber Direct

Uber

New York, NY; San Francisco, CA; Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$302,000 - $302,000

Benefits & Perks

Competitive salary and equity package

Flexible work arrangements

Professional development budget

Comprehensive health, dental, and vision insurance

Equity

Flexible Hours

Learning

Healthcare

Required Skills

TypeScript

JavaScript

React

About the Role

  • Uber Direct is one of Uber's fastest growing and most exciting marketplace bets, providing restaurants, grocers and retailers access to the same logistics and technical capabilities powering the Uber Eats product. We're looking for a Director with past expertise in the logistics domain to lead the engineering organization building the experiences, systems and models powering the entire Uber Direct product & business.
    The teams within this organization create products across a wide range of domains, undertaking efforts such as extending Uber's logistics capabilities to warehouse & same day deliveries, unlocking external API access to Uber's full logistics capabilities, optimizing auction model performance, and creating new, innovative opportunities for Earners.

What You'll Do

  • Build the long term vision and provide technical leadership, while influencing and partnering with your team to architect, design and build the next great logistics platform that can stand the test of scale and availability, while reducing operational overhead
  • Strategize and collaborate closely with Product, Data Science and Engineering teams throughout the company to drive and shape the technical direction, product vision and roadmap
  • Balance the team's portfolio across table stakes logistics capabilities and risky, bold bets which open up new verticals & potential future business lines
  • Build a strong engineering brand for Uber Direct and attract, mentor and develop the talent in the team
  • Build trust and foster a collaborative team culture and help grow the respective leaders on the team
  • Have an excellent executive presence to communicate the team's vision/plan effectively and represent the Uber Direct engineering organization and POV in the overall Delivery+ group
  • Build an influential culture of engineering excellence maintaining the balance and right tradeoff for building products for speed and tech debt
  • Develop an operational model to achieve operational excellence for Product metrics and Engineering metrics

What You'll Need

  • Bachelor's degree or equivalent experience

  • A minimum of 10 years proven experience building software across the stack (mobile, platform, data pipelining and ML) and significant experience working on marketplace problems and distributed systems for large scale products

  • Proven experience in designing, building, and managing large-scale realtime systems with high availability to support millions of users and/or high call volume.

  • A minimum of 7 years of management experience leading software engineering teams

  • Previous experience leading engineering and cross-functional teams operating in the logistics domain, whether it be middle mile, last mile, fulfillment, marketplace optimization, or other adjacent industries

  • Obsession with the science of logistics combined with a passion for the real, physical details of building a global logistics networks that impacts millions of customers across all 3 sides of the marketplace

  • For New York, NY-based roles: The base salary range for this role is USD**$302,000 per year**

  • USD**$336,000 per year**.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$302,000 per year**

  • USD**$336,000 per year**.

  • For Seattle, WA-based roles: The base salary range for this role is USD**$302,000 per year**

  • USD**$336,000 per year**.
    For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & 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'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 fuels progress. What moves us, moves the world - let's move it forward, together.
    Uber is proud to be an Equal Opportunity 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