招聘
Benefits & Perks
•Wellness benefits
•Learning and development stipend
•Top Tier compensation with equity
•Health, dental, and vision coverage
Required Skills
Apache Spark
SQL
PyTorch
About the Role
Are you passionate about the intersection of data and AI? Does working on large-scale data intelligence systems excite you? Are you thrilled by the opportunity to unlock the full potential of Uber's vast amount of data through AI to accelerate business growth and innovation? If yes, read on!
Uber operates one of the most complex and data-rich marketplaces in the world. Every trip, delivery, and order generates vast amounts of data across riders, eaters, drivers, couriers, and merchants. This data fuels Uber's ability to move the world efficiently - from optimizing demand and routing, to understanding real-world behaviors and improving operational excellence.
As Uber continues to scale its use of AI, the AI for Data initiative is reimagining how data becomes actionable intelligence - enabling faster insights, smarter decisions, and greater innovation across the company.
To accelerate this vision, we're looking for an experienced and visionary Product Manager to define and drive the product strategy for this emerging domain. You'll lead the effort to bring cutting-edge AI capabilities into Uber's data ecosystem, empowering every team to uncover insights faster and make more informed, data-driven decisions.
What the Candidate Will Do
- Define the vision and strategy for AI for Data - setting a bold direction for how AI can transform Uber's data into intelligence that accelerates innovation and operational excellence.
- Collaborate deeply with data scientists, engineers, analysts, and business leaders to identify and prioritize opportunities where AI can automate and elevate data understanding.
- Build and execute the roadmap for AI-driven data capabilities - from intelligent data discovery, automated insight generation, knowledge extraction, to conversational analytics and data agents.
- Partner cross-functionally with engineering, TPM, and UX to deliver scalable, high-impact products that leverage AI and ML across Uber's data platform.
- Establish clear success metrics and continuously measure adoption, impact, and quality to refine capabilities based on real-world results.
- Champion the vision across Uber - communicating the roadmap, outcomes, and business impact of AI for Data to executive leadership and cross-functional partners.
Basic Qualifications
- 7+ years of technical Product Management experience delivering successful data, AI, or ML products.
- Bachelor's or advanced degree in Computer Science, Data Science, or a related technical field.
- Deep understanding of modern data platforms, analytics workflows, and AI/ML fundamentals.
- Strong technical acumen - comfortable engaging with engineers and scientists on system architecture, feasibility, and technical tradeoffs.
- Excellent understanding of data management, data governance, and emerging trends in AI for data intelligence.
- Exceptional communication and storytelling skills - able to inspire, align, and motivate diverse teams.
Preferred Qualifications
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Experience building large-scale data intelligence systems or AI/data infrastructure products.
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Hands-on familiarity with enterprise data and AI platforms such as Databricks, Snowflake, AWS Sage Maker, or GCP Vertex AI.
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Proven track record of defining and launching platform capabilities that empower developers, analysts, and data scientists.
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Proven ability to lead through influence, thrive in cross-functional environments, and drive alignment across complex organizations.
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Passion for Uber's mission and a strong desire to build systems that drive global impact.
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For San Francisco, CA-based roles: The base salary range for this role is USD**$216,000 per year**
-
USD**$240,000 per year**.
-
For Sunnyvale, CA-based roles: The base salary range for this role is USD**$216,000 per year**
-
USD**$240,000 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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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
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist L3
0 reports
$145,456
total / year
Base
-
Stock
-
Bonus
-
$123,638
$167,274
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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