Jobs
About the Role
Uber Advertising is building a new generation of display & video ads that help brands grow on Uber's marketplace, and this role sits at the core of that effort.
The Ads team at Uber is dedicated to creating world class advertising systems that strike the right balance between advertiser performance and exceptional shopper experience. We own the critical ad supply and serving layers across Uber's global marketplace. Our mission is to scale Uber's ad footprint by optimizing & expanding supply for existing formats and building the next generation of engaging ad experiences.
Our team is looking for a highly motivated software engineer to contribute to this mission. Your contributions will directly impact a rapidly growing business unit reaching millions of customers worldwide.
---- What the Candidate Will Do ----
- Own: Lead the development of robust features to optimize & increase Ad supply. Own the solution from initial design to production deployment and monitoring.2. Influence: Contribute to the technical roadmap of the Ads ecosystem, ensuring our architecture remains flexible enough to support emerging surfaces like Grocery, Retail, Rides and other new verticals.3. Lead: Mentor and guide peers & junior engineers, providing constructive technical leadership + encouraging a collaborative and growth-oriented team environment.4. Elevate: Conduct thorough design & code reviews ensuring high quality and elevating standards.
---- Basic Qualifications ---- - Proficient in modern programming languages, such as Go or Java.
- Familiar with A/B testing and experimentation.
- Demonstrated experience in setting the technical directions for projects, making architectural decisions and influencing cross-functional teams.
- Experience collaborating with cross-functional teams including ad operations, product, data science, and engineering to drive improvement and innovation in ad capabilities.
- Excellent communication, negotiation, and relationship-building skills.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
---- Preferred Qualifications ----
- Experience supporting and mentoring other engineers, while fostering a collaborative, inclusive team culture.
- Knowledge of the ad tech landscape, programmatic advertising, and digital marketing trends.
- Experience building and integrating with ad technologies. In-depth understanding of programmatic advertising.
- Experience in leveraging data and ML-driven insights to maximize outcomes.
- Working knowledge of ML/AI/GenAI techniques and an ability to apply them to Engineering and product processes such as ad insertion, targeting, or quality.
For Canada-based roles: Uber may use artificial intelligence (AI) tools to support parts of our recruiting process; however, Uber employees make the ultimate selection and hiring decisions. This advertisement relates to a current, existing vacancy.
- For Canada-based roles: The base salary range for this role is CAD**$173,000 per year**
- CAD**$192,000 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://jobs.uber.com/en/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 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
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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