About the Role:

Uber is looking for an Engineering Manager II to lead teams within our Mobility Matching & Segmentation organization. You will own the technical strategy and execution for ML-powered systems that determine how marketplace segmentation drives differentiated experiences across products like UberX, Wait & Save, Priority, Comfort, etc. Your work will directly shape the real-time decision-making engine at the heart of Uber's marketplace, impacting millions of trips daily.

You will lead a high-caliber team of engineers working across ML modeling, high-throughput serving, and optimization systems. You will set the technical direction and partner closely with Science, Product, and Operations to deliver on a roadmap that balances immediate business impact with long-term platform scalability.

• What the Candidate Will Need / Bonus Points
• Strategic Leadership:** Define and execute the technical roadmap for the Marketplace Segmentation, ensuring alignment with Uber's broader Marketplace strategy and company-wide goals.- People Management & Growth: Lead and scale a high-performing team of engineers. You will be responsible for hiring, performance management, and career development, with a focus on mentoring everyone from early-career engineers to Staff+ ICs.- Technical Excellence: Oversee the architecture of highly scalable, reliable, and extensible systems. You will apply a platform mindset to develop robust data models and clear APIs for real-time matching and marketplace segmentation.- ML & Optimization at Scale: Drive innovation in ML-powered systems, including real-time matching algorithms, forecasting models, and experiment-driven product development.- Execution & Delivery: Own the end-to-end delivery of critical projects. You will implement rigorous processes for planning and prioritization to ensure high-quality, timely releases while managing technical debt.- Cross-Functional Partnership: Act as a key bridge between Engineering, Data Science, and Product Management. You will translate complex business requirements into technical specifications and present team results to senior leadership.- Operational Health: Ensure the reliability and cost-efficiency of our services. You will drive initiatives for system simulation, change validation, and performance optimization to meet the demands of a global-scale marketplace.**
• Basic Qualifications
• Bachelor's or Master's degree or equivalent
• 5+ years of experience in software engineering
• 1+ years experience of management in building and leading a software engineering team
• Proven track record of leading teams that have successfully built and shipped new products from 0 to 1

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

• Strong background in Machine Learning, Marketplace Dynamics, or Optimization Systems

• Deep understanding of technical architecture and the ability to solve complex, ambiguous problems

• 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.