About the Role
As a Senior Engineering Manager, you will be leading a group of engineers working with product managers, data scientists and other engineering teams to build identity verification solutions globally which are used by all Uber users. You will have an opportunity to have a big impact on Uber's growth by building automated and scalable verification products. You will also have an important role in ensuring safety of our customers.
About the Team
Trusted identity team plays a crucial role in our mission to thoroughly verify the identity of our customers (riders) and partners( drivers, restaurants, freight companies) while ensuring powerful, intuitive and frictionless user experiences. Our continued obsession for innovation in the space is essential to ensure safety as people interact on Uber's platform.
What You'll Do

• Lead a team of software engineers who are building products to verify user's identity and establish relationships between them, leveraging machine learning and 3P integrations.
• Ensure the systems we build are highly reliable, accurate and scalable, and that identified security issues are prioritized and addressed accurately in an appropriate time frame.
• Mentor other engineers and build a strong culture of quality, handle conflicts well and help build consensus.
• Work with partners across Safety, Compliance, Risk, Privacy, Legal, Ops and Marketing.
• Collaborate with Product, Design, UX Researcher and Mobile/Web engineers to define the customer facing features, as well as external partnerships for integration into our platform.

Basic Qualifications

• 5+ years of experience managing teams of multiple engineering managers and engineers across all levels.
• Bachelor's degree or higher in an engineering field (e.g. Computer Science, Computer Engineering, Information Technology etc.).
• Experience working with multi-functional, globally distributed teams to coordinate work and deliver solutions that span multiple teams.
• Collaboration with PMs, designers, data scientists and infrastructure teams to identify, prioritize and solve problems.
• Working actively on career mentor & development, handle performance & conflicts, influence cross-functional teams.
• Track record of managing, recruiting, and retaining strong engineering talent and growing effective teams.

Preferred Qualifications

• Desire knowledge of deep machine learning, image processing and facial recognition.
• Desire knowledge about large-scale, distributed systems, including SQL/NoSQL storage, transactional updates, asynchronous processing with message queues like Kafka, logging, system monitoring, and performance tuning.

About Uber