Uber Director Engineering - Driver Pricing & Matching 

United States, West Virginia 

675843936

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.