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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.
Job Responsibility:
Foster a collaborative, inclusive, and high-performance culture
Provide mentorship, clear career paths, and development opportunities
Promote a culture of technical excellence — emphasizing strong design principles, code quality, and peer reviews
Lead design and delivery of scalable data, reporting, and recommendation platforms
Drive the architectural vision for multi-LOB insights generation, personalization, and measurement frameworks
Partner with Product Managers, Data Scientists, and cross-functional engineering teams to define the long-term roadmap
Collaborate with teams across Mobility, Delivery, and Grocery Ads to integrate performance insights, targeting, and experimentation capabilities
Translate advertiser and business requirements into reusable, scalable, and high-impact data solutions
Ensure the highest standards of data quality, availability, and trust across Ads reporting and datamarts
Implement robust observability, anomaly detection, and automated recovery mechanisms
Champion platform efficiency and standardization to minimize redundant data pipelines and accelerate new feature delivery
Requirements:
14+ years of overall software engineering experience
3+ years in engineering management leading backend and data-intensive systems
Proven track record in designing and scaling data or reporting platforms, preferably in e-commerce, advertising, or On-Demand Delivery (OFD) domains
Deep technical expertise in distributed systems, real-time and batch data processing, and analytics (e.g., Spark, Hive, Pinot, Kafka, Flink, Presto)
Experience working with recommendation or personalization systems and collaborating with ML/Applied Science teams
Strong leadership and communication skills with the ability to drive clarity, alignment, and accountability across global teams
Nice to have:
Prior experience in AdTech, attribution, or measurement systems
Strong product sense — able to balance technical design with advertiser value and business outcomes
Demonstrated success in building horizontal data or platform solutions supporting multiple business verticals
Experience managing hybrid global teams and fostering collaboration across time zones