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Uber
Engineering Manager II - Courier
1 month ago• New York, NY
Viewed on February 1, 2026
Apply on company site
About Us
Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.
- Size: 10000+ employees
- Industry: Technology
View Company Profile:
About the Role:
Uber Courier :
Courier is one of the fastest growing businesses at Uber. It is an on-demand C2C package delivery service used by small businesses and consumers. We have recently crossed 1B in ARR and are still scratching the surface. The product is very popular in Brazil & India and has a lot of headroom to grow in EMEA and US&C. Aside from core send & receive packages workflows, the product has many other use cases such as Store pick-ups, returns, intercity deliveries ( in Brazil) etc as well as we are piloting new initiatives such as XL & high value item deliveries. The tech team is spread across US & India.
Fulfillment EM
As you can imagine, fulfillment is the backbone for a package delivery service. Our north star is that every item should be delivered on time with 100% reliability. We have a lot of work to get there. As an EM for this pod, your role is to ensure we price the product portfolio appropriately , meet customer's promises in What the Candidate Will Do:
- Work closely with the PM, design and other eng leads to build an ambitious roadmap and execute with a sense of urgency.
- Embrace the startup culture and build a high degree of ownership & accountability in your team leading by example.
- Build strong relationships with many upstream and downstream teams - earner, matching pricing, payments etc to collaborate on shared goals.
- Thoroughly understand strengths and development areas for the team members, coach them to reach their full potential and grow their careers by providing impactful business opportunities.
Basic Qualifications:
- 3+ years of experience as an engineering manager having launched many successful products, led the team through technology migrations, introduced new processes to streamline execution & collaboration etc.
- 8+ years of experience writing production software in large scale distributed systems.
- Strong computer science fundamentals to help make the right technical decisions & tradeoffs for long term sustainable growth while allowing room for rapid experimentation.
- Proficiency in programming languages such as Python, Scala, Java, or Go
- Proficiency in upholding high standards of quality, reliability, and operational excellence through efficient review processes and data-driven improvements.
Preferred Qualifications:
- Strong ML background with experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces
- Ability to thrive in a fast paced environment; Strong preference for previous experience in a startup.
- Clear communicator with the ability to motivate the team and influence the stakeholders to align on goals.
- Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact.
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- By signing up, you agree to our For New York, NY-based roles: The base salary range for this role is USD**$223,000 per year**
- USD**$248,000 per year**.
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.
Client-provided location(s): New York, NYJob ID: Uber-151758Employment Type: FULL_TIMEPosted: 2025-12-10T00:35:14Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
Apply on company site
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About Uber
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
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