채용
As an EM, You will lead a dedicated group of engineers in building a best-in-class platform.
WHAT YOU WOULD DO Team Empowerment:
- Foster a collaborative, inclusive team culture that values creativity, diversity, and excellence.
- Empower your team to excel in their roles by providing mentorship, guidance, and professional development opportunities.
ENGINEERING LEADERSHIP:
- Promote the culture of continuous improvement, emphasizing code reviews, design reviews, and knowledge sharing within the team.
MULTI-FUNCTIONAL COLLABORATION:
- Collaborate with product managers, business, and customers to develop a vision and roadmap for the team
- Collaborate with data scientists and other engineering teams to understand requirements and integrate different ad products into the data and reporting platform
OPERATIONAL EXCELLENCE:
- Implement thorough OE practices to ensure trust in the data platform. Robust mechanisms to detect issues and recover from failures
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently! If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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 encouraged to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
Team Empowerment:
- Foster a collaborative, inclusive team culture that values creativity, diversity, and excellence.
- Empower your team to excel in their roles by providing mentorship, guidance, and professional development opportunities.
Engineering Leadership:
- Lead the design and implementation of robust, scalable, and efficient systems of metrics ingestion, data processing, and data visualization.
- Promote the culture of continuous improvement, emphasizing code reviews, design reviews, and knowledge sharing within the team.
Multi-functional Collaboration:
- Collaborate with product managers, business, and customers to develop a vision and roadmap for the team
- Collaborate with data scientists and other engineering teams to understand requirements and integrate different ad products into the data and reporting platform
Operational Excellence:
- Implement thorough OE practices to ensure trust in the data platform. Robust mechanisms to detect issues and recover from failures
---- Basic Qualifications ----
- 9-13 years of professional software engineering experience, with at least 2 years in engineering management roles.
- Deep understanding of full-stack software development with experience leading both backend and front-end engineers.
- Strong leadership and communication skills, with the ability to encourage and empower a diverse team.
- Ability to work with product management and shareholders to drive vision for ads analytics and reporting
- Validated ability deliver high-quality software products on time and within scope.
- Bachelor's or advanced degree in computer science, engineering, or a related field.
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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