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 Ubers 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 matchingranking algorithms large scale distributed systems designing API 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.

Compensation and Benefits

For San Francisco CA-based roles The base salary range for this role is USD267000 per year - USD297000 per year. You will be eligible to participate in Ubers bonus program and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401k plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefitshttps://jobs.uber.com/en/benefits.

Company Culture and Mission

Ubers 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 - lets move it forward together.

Equal Opportunity Employer

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 https://forms.gle/aDWTk9k6xtMU25Y5A.

Work Arrangements

Offices continue to be central to collaboration and Ubers 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.