**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.

#### Engineering Leadership

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.

#### Multi-Functional Collaboration

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.

#### Operational Excellence

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.

\-\-\-\- Basic Qualifications ----

14+ years of overall software engineering experience, including 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.

\-\-\-\- Preferred Qualifications ----

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.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

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.

\*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).