Engineering Manager II- AdsTech, Data Insights and Recommendations

About the Role

As an Engineering Manager, you will play a critical role in driving Uber's rapidly expanding Ads Engineering organization at India. You will lead the Reporting and Recommendations team, responsible for building the foundational data, insights, and personalization systems that power advertising across all Lines of Business - Mobility (Display & Journey Ads), Delivery (OFD Sponsored Listings), and Grocery/CPG Ads.

Your team will own the platforms that enable advertisers to understand ad performance, optimize spend, and reach the right audiences through scalable reporting, recommendations, and datamart solutions. You'll work closely with cross-functional leaders across product, data science, and other engineering teams to deliver a unified, data-driven Ads ecosystem serving diverse advertiser and merchant needs globally.

What the Candidate Will Need / Bonus Points

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

Team Empowerment

1. Foster a collaborative, inclusive, and high-performance culture that values creativity, ownership, and continuous learning.
2. Provide mentorship, clear career paths, and development opportunities to help engineers grow as technical and thought leaders.

1. Promote a culture of technical excellence - emphasizing strong design principles, code quality, and peer reviews.
2. Lead design and delivery of scalable data, reporting, and recommendation platforms used across Ads products and LOBs.
3. Drive the architectural vision for multi-LOB insights generation, personalization, and measurement frameworks.

1. Partner with Product Managers, Data Scientists, and cross-functional engineering teams to define the long-term roadmap for Ads reporting and recommendations.
2. Collaborate with teams across Mobility, Delivery, and Grocery Ads to integrate performance insights, targeting, and experimentation capabilities into a cohesive data platform.
3. Translate advertiser and business requirements into reusable, scalable, and high-impact data solutions.

1. Ensure the highest standards of data quality, availability, and trust across Ads reporting and datamarts.
2. Implement robust observability, anomaly detection, and automated recovery mechanisms.
3. Champion platform efficiency and standardization to minimize redundant data pipelines and accelerate new feature delivery.