Uber Freight is seeking a Product Manager for AI & Efficiency to leverage AI-first solutions that improve the reliability and efficiency of shipment delivery. You will define the product vision and strategy, translate user needs into actionable requirements, and drive the development of AI-powered features that scale across the business. This role requires collaborating with engineers, data scientists, designers, and user researchers to build AI platforms and AI-native solutions that enhance operations and customer outcomes. Responsibilities include leading discovery and development, communicating plans and tradeoffs to stakeholders, and fostering a culture of collaboration and results. Qualifications include a minimum of 6+ years of product management experience with a data-first approach, strong communication and influence, and the ability to lead through ambiguity. Preferred qualifications include experience with SQL and AI research, reinforcement learning, ML optimization models, building AI/ML platforms, deploying products using large language models, and familiarity with logistics or marketplace environments. This is a hybrid role based in Seattle, United States.

Uber Freight is seeking a Product Manager for AI & Efficiency to leverage AI-first solutions that improve the reliability and efficiency of shipment delivery. You will define the product vision and strategy, translate user needs into actionable requirements, and drive the development of AI-powered features that scale across the business. This role requires collaborating with engineers, data scientists, designers, and user researchers to build AI platforms and AI-native solutions that enhance operations and customer outcomes. Responsibilities include leading discovery and development, communicating plans and tradeoffs to stakeholders, and fostering a culture of collaboration and results. Qualifications include a minimum of 6+ years of product management experience with a data-first approach, strong communication and influence, and the ability to lead through ambiguity. Preferred qualifications include experience with SQL and AI research, reinforcement learning, ML optimization models, building AI/ML platforms, deploying products using large language models, and familiarity with logistics or marketplace environments. This is a hybrid role based in Seattle, United States.