Jobs
About the Role
The Ads Demand Platform team owns the end-to-end advertiser-side systems that power ad creation, management, and lifecycle across all ad formats and advertiser types. We build scalable APIs, workflows, and core systems that unblock and accelerate product teams spanning SMB, Enterprise, CPG, display, and non-endemic ads. As a Staff Backend Engineer, you'll shape foundational architecture, set technical direction across multiple teams, and have outsized impact by enabling the next generation of ads products at Uber scale.
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What You Will Do
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Lead the design and evolution of core backend systems that power the advertiser experience across all ads products and formats
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Define and drive platform architecture, APIs, and shared services used by multiple ads feature teams
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Partner closely with product, frontend, and feature teams to translate complex business needs into scalable technical solutions
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Provide technical leadership through design reviews, mentorship, and setting engineering best practices across the org
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Own system reliability and operational excellence, including performance, scalability, and long-term maintainability
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Basic Qualifications
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7+ years of backend engineering experience building and operating large-scale, distributed systems in a production environment
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Strong proficiency in designing APIs, data models, and workflows with an emphasis on scalability, reliability, and maintainability
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Proven track record of technical leadership, including driving architecture decisions, mentoring senior engineers, and influencing across multiple teams
Preferred Qualifications:
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Experience building ads platforms or demand-side systems, such as ad creation, targeting, bidding, budgeting, pacing, or measurement
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Strong background in designing multi-tenant, high-scale platform systems that serve diverse product teams and advertiser types
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For San Francisco, CA-based roles: The base salary range for this role is USD**$232,000 per year**
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USD**$258,000 per year**.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. 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 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
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
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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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