Jobs
Benefits & Perks
•Comprehensive health, dental, and vision insurance
•Competitive salary and equity package
•Team events and activities
•Generous paid time off and holidays
•Flexible work arrangements
•Healthcare
•Equity
•Flexible Hours
Required Skills
JavaScript
Node.js
TypeScript
About the Role
The Consumer Incentives team is responsible for the profitability and growth trajectory of Uber's business across various verticals, including food and grocery. Our objective is to enhance the customer experience by making it more pleasant and affordable. The team addresses complex challenges in machine learning, optimization, and distributed systems to power products that serve hundreds of millions of individuals globally.
---- What You Will Do ----
In this role, you will provide technical leadership, help identify gaps/opportunities, and influence the direction of technical solutions to enhance incentive efficiency, while optimizing user experience across various verticals, including food and grocery.
Key responsibilities include:
- Identifying strategic technical investments to push the efficiency frontier and boost business growth.
- Leading teams to design and implement technical solutions to meet ambitious business goals.
- Managing end-to-end project execution, covering ideation, scoping, development, experimentation, productionization, and post-launch operation.
- Collaborating with cross-functional teams, including product, operations, and science partners.
---- Basic Qualifications ----
- 7+ years of experience delivering, scaling, and owning highly successful and innovative software products with your fingerprints all over them
- Proven record of engineering skills. Ability to write high-performance production-quality code. Experience in Go, Python, Java, or other equivalent languages.
- Experience building scalable distributed systems
- Perseverance to get things done with a focus on shipping online features backed by experiments.
- Drive to always learn new things and go above and beyond the call of duty.
- Strong communication skills and a collaborative approach to problem-solving. Always working to improve yourself and constructively support the team around you.
---- Preferred Qualifications ----
- Demonstrated leadership skills, with experience in mentoring and guiding junior engineers.
- Proven experience in data analytics and experimentation tools
- Strong sense of ownership
- Ability to work effectively in a fast-paced, team-oriented environment.
- For San Francisco, CA-based roles: The base salary range for this role is USD**$232,000 per year**
- USD**$258,000 per year**.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD**$232,000 per year**
- USD**$258,000 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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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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