About the Team The Maps Search team powers location search and discovery across Uber's ecosystem - enabling pickup and dropoff location search & recommendations for Rides, Eats and other lines of business. This is a full-stack, high-impact team building cutting-edge ML models for retrieval and ranking, planet-scale distributed systems operating at ultra-low latency, and seamless mobile experiences that define how users discover places and interact with the map. Search is a mission-critical surface that directly impacts conversion, reliability, and consumer growth. About the Role As the Senior Engineering Manager, you will lead the entire Maps Search organization (~20 engineers and managers across San Francisco and Toronto at present). This exciting role sits at the intersection of ML/AI innovation, distributed systems, and user experience. Your leadership will directly influence business growth and reliability of one of Uber's most critical entry points. What You'll Do - Partner deeply with Product, Applied Science, and other teams at Uber to define strategy & drive execution on company-critical initiatives. - Set the multi-year technical vision and strategy for Maps search and recommendations across Uber - Raise the bar on ML innovation and platform reliability at global scale - Build and mentor a strong bench of engineering leaders (EMs & Tech leads). Basic Qualifications - 10+ years of software engineering experience, including significant experience building or leading ML/AI or optimization-driven systems - 5+ years of engineering management experience, including managing managers or tech leads - Experience leading multi-disciplinary teams (backend services + ML/AI required; mobile experience a plus) - Track record of leading mission-critical, consumer-facing products or platforms in close partnership with cross-functional stakeholders - Demonstrate experience in developing and retaining high-performing engineering teams. Preferred Qualifications - Experience leading large-scale search, ranking, retrieval, or recommendation systems in production - Experience taking search or recommendation products from early prototypes to scaled, consumer-facing platforms - Demonstrated ability to influence product and business strategy beyond immediate organizational scope - Experience leading multi-geography engineering organizations - Strong track record of hiring, mentoring, and developing senior engineering leaders (EMs, Staff+ engineers) For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 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. 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.