Vacancy expired!
About the Role As the Technical lead for Freight Marketplace, you are expected to have a deep impact on a wide variety of technology decisions, spanning many projects across the entire Marketplace org. We are looking for a technologist who has experience building products at scale. You'll provide technical leadership in building the core product experiences and infrastructure powering Uber Freight Marketplace, that directly impacts carriers & shippers every day. This is a unique opportunity for a seasoned engineer and strong collaborator who can work with talented people in product, design, data science, operations, and engineering to help scale Uber Freight. The role requires a person whose communication and leadership is as strong as their technical chops, and who enjoys both building solutions themselves and guiding others equally passionately. At your disposal will be the tools that helped Uber grow to be a worldwide company, as well as new and upcoming tech from our AI Labs and Machine Learning teams. About the Team The Marketplace Dynamics team is responsible for building products, algorithms and services that drive pricing efficiencies within our network. The Marketplace Dynamics group works at the intersection of data science & engineering, and develops the decision-making systems to create a healthy central exchange. Alongside our Shipper and Carrier teams, this group optimizes the pricing, matching, and recommendation capabilities across our applications. What the Candidate Will Do Develop and maintain Uber Freight's mission-critical pricing systems for freight shipments Interface with teammates, data scientists, product managers and peer engineering teams to achieve business goals Participate and lead engineering excellence initiatives to up-level the team's software development practices Basic Qualifications Proven record of designing and implementing large scale distributed systems. 5+ years relevant engineering experience. Experience with Go, Java, or C (bonus points for more than one). Preferred Qualifications Strong product focus and acumen. Experience with large data processing pipelines, and data integrations. Proven ability to develop engineers into strong senior engineers, operating and leading their own projects with team-wide scope and impact.
Vacancy expired!