The team is geographically distributed across multiple locations. The new hire will collaborate closely with these teams and report directly to the Core Ads leader. This position will be the top technical advisor for advertising and driving the technical vision and strategy for Uber's ad platforms.

The ideal candidate will be primarily a back-end distributed systems engineer with significant experience in building large-scale systems. They will possess a strong understanding of machine learning (ML) and the ability to work with applied scientists, data scientists, auction theorists, and economists to make real-time trade-offs in a multi-participant marketplace.

This role includes unlocking new business opportunities, unifying fragmented ad platforms, improving efficiency, and building core adtech domain expertise. Notably, This position offers a unique opportunity to drive innovation and growth in Uber's advertising technology landscape.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

• Understand, investigate, and formulate technical roadmaps for the highest priority opportunities/problems for advertising at Uber
• Consistently write and document high-quality code and technical papers to solve strategically important problems
• Partner with and influence key stakeholders to drive technical progress, and evangelize the adoption of Ad Tech industry best practices
• Mentor and guide technical leads in executing high-priority OKRs, define and improve SLAs, and establish metrics and success indicators

---- Basic Qualifications ----

• 15 years of experience working as a software engineer or 13 years with an advanced degree.
• Deeply experienced in building core ad tech systems such as ad servers, bidders and pacers, yield optimizers, reach estimation systems, etc.
• Proven track record of delivering high impact business outcomes within the digital advertising domain

---- Preferred Qualifications ----

• An advanced degree in Computer Science, Mathematics, or quantitative field
• Experience with forecasting models for inventory management, enabling sales operations and enabling both reservation and auction based buying models
• Experience with full funnel ad measurement and attribution systems, such as brand lifts, incrementality based measures, modeled conversions, MMPs, CAPI, SAN, etc.
• Familiarity with the sales tooling and third party integrations that enable the flow of budgets from advertiser ecosystems into 1st party platforms

For San Francisco, CA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.