Uber Staff Software Engineer Ad Products 

United States, West Virginia 

370562550

What the Candidate Will Do:

• Design and develop next-generation ad products and formats, ensuring seamless integration into Uber’s user experiences.
• Build high-performance, scalable ad-serving capabilities that power native ads, video ads, and interactive ad experiences.
• Lead the technical direction for ad product innovation, driving the evolution of Uber’s advertising ecosystem.
• Optimize ad ranking, targeting, and auction mechanics to maximize engagement and revenue.
• Work closely with Product, Design, Machine Learning, and Data Science teams to craft compelling ad experiences.
• Ensure seamless ad rendering, fast load times, and high-quality user experiences across Uber’s apps.
• Drive A/B testing, experimentation, and ad measurement strategies to optimize ad effectiveness.
• Influence long-term technical roadmap, architecture decisions, and engineering best practices for the Ads Engineering Org.
• Mentor and coach engineers, fostering a culture of technical excellence and innovation.

Basic Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum 8 years of software engineering experience, with expertise in building and scaling ad products.
• Strong proficiency in Java, Scala, Python, or Golang for backend development.
• Expertise in distributed systems and micro-services architecture.
• Experience with SQL, NoSQL databases, caching, and large-scale storage solutions.
• Excellent problem-solving, system design, and leadership skills.

Preferred Qualifications :

• Track record of leading technical initiatives and mentoring engineers in high-growth environments.
• Experience in AdTech, programmatic advertising, or in-app ad monetization.
• Strong understanding of native ads, video ads, interactive ad units, and rich media experiences.
• Hands-on experience in A/B testing, experimentation platforms, and ad effectiveness measurement.
• Familiarity with privacy-preserving advertising, attribution modeling, and fraud prevention.
• Experience working with streaming frameworks like Kafka, Flink, or Spark for real-time data processing.

For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.