The role is focused on leading the Shopping Ranking and Personalization team at Uber Eats, which is responsible for enhancing the shopping experience through personalized content across various surfaces. The candidate will oversee the ranking platform and personalization strategy, ensuring effective scoring and serving decisions. This position requires collaboration with Data Science and MLE teams to implement advanced machine learning models. It is a high-impact leadership role that directly influences customer experience and business outcomes.

• At least 7 years of experience managing software engineering teams.
• At least 15 years of experience in software engineering.
• Experience leading teams responsible for complex, distributed, production-grade systems.
• Strong technical fluency in machine learning concepts and familiarity with ranking systems.
• Track record of building scalable platforms and architectures.
• Experience hiring, developing, and retaining strong engineering talent.

• Lead and grow a team of engineers responsible for personalization and ranking capabilities.
• Drive execution against high-stakes business goals and engineering priorities.
• Own the technical and organizational strategy for the ranking platform.
• Partner closely with Product, Design, Data Science, and engineering teams.
• Operationalize modern ML capabilities into production systems.
• Build the platform and architectural foundations for extensibility and integration.
• Establish strong engineering execution practices across various areas.
• Develop engineers and technical leaders through coaching and feedback.

• Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.