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Uber is spending a significant amount of marketing budget on advertising each year, to attract and engage our customers - Riders, Drivers, Couriers, and Eaters. We do this across channels ranging from TV ads and posters to digital advertising through mobile and web channels. The AdTech team is building the technology capabilities to scale this advertising capability, using data to drive intelligent optimization and automation of the process. We work from the beginning of the loop: starting with budgeting and spend allocation across the world using models to the granular optimization of what content to show to whom and when. The team is currently building systems to manage and partially automate marketing spending. We leverage outstanding machine learning techniques to drive sign-ups and maximize the efficiency of billion-dollar advertising budgets. This area is ripe for disruption with the advent of GenAI. Join the team if you are interested in building Uber's next-gen Marketing optimization engine that fully leverages the latest in AI.
Job Responsibility:
Set the architectural vision: Define and drive the technical direction for the Paid Marketing Technical Stack, partnering closely with Engineering, Product, Applied Science, Marketing Stakeholders
Lead major platform initiatives: Own and scale systems across the Paid Marketing Technical Stack and lead critical cross-functional initiatives
Mentor and inspire: Provide technical leadership and coaching to a high-performing team of engineers, helping foster an innovative and collaborative culture
Build for scale and reliability: Design, develop, and deploy systems that are resilient, extensible, and easily integrated across multiple Uber apps, Lines of business and advertising partners / channels
Collaborate across Uber: Work with cross-functional and cross-company teams to ensure that the Marketing Stack works effectively to drive business growth
Keep a High Bar On Engineering Excellence: Keep the bar high on sustainable engineering by following best engineering practices, producing best in class of code, documentation, testing and monitoring
Requirements:
10+ years of experience in developing and deploying machine learning models and algorithms in production environments
Experience with large-scale distributed data processing pipelines
Strong programming skills in languages such as Java or GoLang
Nice to have:
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
Demonstrated ability to work with cross-functional partners to drive business outcomes through a platform approach
Domain expertise in Advertising / Marketing with preference for building Buy-Side Marketing Technologies
Excellent communication skills and the ability to collaborate effectively with cross-functional teams
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp