Sr. Engineering Manager, Matching & Segmentation

About the Role Uber is looking for a Sr. Engineering Manager to lead teams within our Mobility Matching & Segmentation organization. You will own the technical strategy and execution for ML‑powered systems that determine how riders are matched with drivers and 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. As a Sr. EM, you will lead multiple engineering teams (including other EMs and TLMs), set technical direction, and partner closely with Science, Product, and Operations to deliver on an ambitious roadmap. What the Candidate Will Do Lead and grow multiple engineering teams building ML‑powered matching, segmentation, and marketplace optimization systems and platform at scale. Define and drive the technical vision for your domain, aligning with broader Marketplace and company‑level strategy. Partner cross‑functionally with Product Management, Science, Operations, and peer engineering teams to prioritize, plan, and deliver high‑impact initiatives. Coach and develop engineers at all levels, including Staff+ ICs and EMs, fostering a culture of technical excellence, ownership, and collaboration. Drive innovation in areas such as real‑time matching algorithms, marketplace segmentation models, forecasting systems, and experiment‑driven product development (e.g., Switchback experiments). Present team strategy and results to senior and executive leadership, translating technical work into business impact. Own hiring, performance management, and organizational health for your teams across multiple geographies. Basic Qualifications 5‑10+ years of software engineering experience, with strong foundations in systems design and distributed systems. 3‑5+ years of engineering management experience, including leading multiple teams and managing managers. Experience building and operating ML or optimization systems and platforms in production at scale. Proven ability to partner cross‑functionally with Product, Science, and Business stakeholders. Strong analytical and problem‑solving skills with the ability to navigate ambiguous, high‑impact problem spaces. BS in Computer Science or a related field. Preferred Qualifications MS or PhD in Computer Science or a related field. Experience with marketplace systems, matching/ranking algorithms, large‑scale distributed systems, designing APIs for central services, etc. Track record of scaling engineering organizations and developing senior technical talent (Staff+ engineers, EMs). Experience leading teams that run large‑scale online experiments and data‑driven product development. Strategic thinker with demonstrated ability to drive both technical and organizational innovation in a fast‑moving environment. Experience managing geographically distributed teams. For San Francisco, CA‑based roles: The base salary range for this role is USD$267,000 per year – USD$297,000 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 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. #J-18808-Ljbffr Uber