**About the Team** Uber’s Engineering team executes on the vision and builds the products for the future of urban mobility: deeply understanding our customers to solve their transportation needs with innovative technology. Engineering leaders at Uber move lightning fast to build, test, learn, and iterate, working in small teams that control their own destiny and own their own critical metrics. Leadership helps the vision become a reality and clears obstacles out of the way. Some of the brightest data scientists, designers, engineers, and marketers in the industry are here to build amazing products on top of leading-edge platforms for data, machine learning, and experimentation. The products we build are used by millions of riders, drivers, eaters, restaurants, merchants and others to earn money for their families, and get around faster, easier, cheaper, and with less environmental impact. **About the Role** The Marketplace team is looking for a Director of Engineering - Driver Pricing & Matching to lead a talented team of 40 engineers and applied scientists based in the San Francisco Bay Area.  The team builds the tech and systems that span ML modeling, and optimization for driver pricing. **What You’ll Do** - Lead the team responsible for driver pricing & matching.  The role spans backend systems for pricing, offer generation, offer payments, ML models and algorithms, as well as the mobile/front-end surfaces for driver comprehension - Build the long term vision and tech for driver pricing - Collaborate closely with Data Science, Products, and Ops to drive and shape the technical direction, both in terms of systems and modeling frameworks - Strategize and influence the product vision and roadmap in collaboration with the product and business team - Build trust and foster a collaborative team culture and help grow the respective leaders in each of the focus areas - Build a strong eng brand for driver pricing and be able to attract and retain talent - Have an excellent executive presence to communicate the team’s vision/plan effectively and represent the engineering organization and POV in the overall Marketplace business group - Translate the strategic roadmap into a practical execution plan with quarterly OKR’s - Build an influential culture of engineering excellence maintaining the balance and right tradeoff for building products for speed and tech debt - Set up processes to handle ad hoc support requests from customers, sales, and make sure the general execution cycle is not disturbed - Develop an operational model to achieve operational excellence for Product metrics and Engineering metrics **Basic Qualifications** - Bachelor’s degree or equivalent experience - A minimum of 10 years proven experience building software across the stack (mobile, platform, data pipelining and ML) in product engineering - A minimum of 7 years of management experience leading software engineering teams - Experience leveraging optimization or machine learning in successful products **Preferred Qualifications** - Master’s degree in AI, ML, Data Science or a PhD in EE or CS - Experience working with consumer facing products - Experience with optimization and applied machine learning and the ability to think about statistical modeling problems and what the right formulations are - Experience building scalable backend systems For San Francisco, CA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 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. 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.