**About the Role** The Autonomous Mobility & Delivery (AM&D) team is pioneering Uber’s autonomous future in Rides and Eats. As we advance toward a world of autonomous and human-driven vehicles coexisting, Uber is building a hybrid marketplace that integrates autonomous vehicles seamlessly into mobility and delivery, ensuring reliability, efficiency, and scalability. Our work spans nearly every Uber service. Over the past year, we’ve partnered with leading Autonomous Vehicle OEMs, successfully integrating autonomous vehicles into Mobility and Delivery. Looking forward, we anticipate substantial growth and seek an Sr Engineering Manager to help drive this journey. This leader will build and lead a team developing an autonomous platform to streamline the integration across autonomous OEMs, enhance hybrid marketplace simulation capabilities, and improve the data pipelines and metrics reporting throughout the program. **What You Will Do** - Lead and scale the AM&D platform initiative, which spans across the API gateway platform, Simulation Platform, and Data pipeline and reporting charters. - Leading and scaling multiple engineering teams. Provide technical mentorship, guidance, and performance management to team leads, fostering a high-performing and innovative engineering culture. - Drive the design, development, and deployment of critical platform components, focusing on reliability, extensibility, and seamless integration across multiple product surfaces. - Collaborate with cross-company and cross-functional teams to ensure platform alignment with broader business goals. **Basic Qualifications** - 3+ years experience of management in building and leading software engineering teams, including growing and mentoring engineering managers and engineers at different levels - Strong understanding of technical architecture, system design, and problem solving acuity for sophisticated technical challenges - Proven track record of leading and scaling high-impact product platform initiatives. Strong technical expertise with deep knowledge of platform architecture, microservices, and best practices for building resilient, scalable systems - Demonstrated ability to work with cross-functional partners to drive business outcomes through a platform approach **Preferred Qualifications** - Minimum 8 years of proven experience in software engineering - Experience in building API platforms, data platforms, simulation or other foundational product platforms that serve multiple product teams - Familiarity with Autonomous or Mobility or Delivery Systems, and understand challenges unique to the autonomous or mobility or delivery industries - Passionate about shaping the future of autonomous delivery and driving innovation in the industry For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber is proud to be an Equal Opportunity/Affirmative Action 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). 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.