Sr. Staff Engineer, Paid Marketing Engineering

Uber

San Francisco, CA

Full Time

Senior

257k-286k

6 days ago

Job Description

About the Role

The Sr. Staff Engineer, Paid Marketing Engineering role at Uber involves building and scaling the company's advertising technology capabilities. The position focuses on leveraging data and AI to optimize marketing spend and content delivery across various channels, including TV, digital, mobile, and web. The team is developing systems to automate and enhance marketing efficiency, utilizing advanced machine learning techniques and exploring GenAI innovations. The role requires defining technical vision, leading platform initiatives, mentoring engineers, and collaborating across teams to drive business growth and engineering excellence.

Key Responsibilities

Set the architectural vision: Define and drive the technical direction for the Paid Marketing Technical Stack, partnering closely with Engineering, Product, Applied Science, and 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, fostering 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 the Marketing Stack effectively drives business growth.
Maintain high standards of engineering excellence: Follow best practices in engineering, produce high-quality 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 a preference for building Buy-Side Marketing Technologies.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Qualifications

Bachelor's or Master's degree in a relevant technical field (preferred).

Benefits & Perks

Base salary range for San Francisco, CA: USD$257,000 to USD$285,500 per year.
Eligibility to participate in Uber's bonus program.
Potential equity awards and other compensation.
Various benefits (details available at the provided link).

Working at Uber

Uber's mission is to reimagine the way the world moves for the better. The company values bold ideas, real-world impact, growth through challenges, and progress driven by speed. Uber emphasizes collaboration, innovation, and a strong cultural identity centered around office collaboration, with expectations for employees to spend at least half of their work time in the office unless fully remote work is approved.

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