About the Role
Uber is looking for an Engineering Manager within our Matching team. This team sits at the core of Uber’s real-time marketplace, optimizing how riders and drivers are matched to ensure seamless, efficient, and cost-effective trips.
As a technical and people leader, you will drive the evolution of Uber’s Matching technology by solving problems like:
- Optimizing at scale – Making millisecond-level decisions across millions of active users worldwide.
- Balancing efficiency vs. experience – Ensuring seamless rider experiences while maximizing driver earnings and marketplace efficiency.
- Adapting to global markets – Accounting for unique supply-demand dynamics across regions.
- Building for extensibility – Evolving our matching infrastructure into a flexible platform to support Uber’s growing range of mobility products, from everyday rides to premium, shared, and scheduled trips.
This is an opportunity to work on one of the most complex and business-critical domains at Uber, where improvements can drive hundreds of millions of dollars in efficiency gains and unlock new rider and driver experiences globally.
What the Candidate Will Do
- Lead and scale a team of engineers, fostering a high-performance culture.
- Define the technical vision for matching platform and products, ensuring alignment with Uber’s broader strategy.
- Drive execution, delivering cutting-edge solutions that impact millions of rides per day.
- Collaborate cross-functionally with Product, Data Science, and Operations to innovate on matching strategies.
- Grow and develop top engineering talent, providing mentorship and career growth opportunities.
- Uphold engineering excellence, ensuring Uber’s matching infrastructure is scalable, reliable, and efficient.
- Influence senior leadership, shaping the future of Uber’s marketplace strategy.
Basic Qualifications
- Bachelor’s or Master's degree or equivalent
- 5+ years of proven experience in software industry
- 1+ years experience of management in building and leading a software engineering team
- You have previously led teams that owned and/or built new products
Preferred Qualifications
- PhD degree in computer science or other relevant fields
- 8-10+ years of proven experience in software engineering
- 3+ years of direct people management experience, including growing and mentoring engineers at different levels
- Experience in Machine Learning
- Strong understanding of technical architecture, system design, and problem solving acuity for sophisticated technical challenges
- Experience working cross-functionally with Product Management, Data Science, and Business partners
For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - 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.