At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
About the Role
We are looking for a hands-on Engineering manager to lead the identity intelligence team in our risk organization. Identity intelligence team is part of our broader identity team that is responsible for collecting data from all products and flows and building solutions for risk detection using identity signals. These solutions are leveraged to ensure all transactions on Uber platform are secure and valid. At the heart of this is a lot of data and machine learning.
What You’ll Do
Collaborate and build strong relationships with all stakeholders in the organization and build trust.
See the big picture and identify strategically important problems,. Create technical roadmap, and drive alignment on how to tackle these and deliver high leverage solutions on these at the group and organization level.
Be a role model on acting with good judgement and responsibility. Engineers across the organization will look upto you on how best to plan and execute on projects.
Up the bar on engineering excellence by improving best practices, producing best in class of code, documentation, testing and monitoring.
Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with a difference in opinions in a mature and fair way, helping teams to commit and move forward.
Motivate teams and create a healthy culture.
Deliver in time and with high quality.
What You’ll Need
5 Minimum Years of Experience managing teams
Masters or equivalent degree in computer science
Experience with application development and distributed systems
Experience with mobile engineering
Experience building systems for storing and serving large data
Experience with machine learning
Experience managing large cross functional teams
About the Team
The crime using synthetic identity and stolen identify is on the rise globally and against Uber. A big part of solving Risk and Safety has to do with understanding people in the real world, connecting with their digital identity and the interactions they have on and off Uber’s platform. We are starting to rethink how to holistically approach trust and identity and looking for leaders to bring together a set of teams around this shared vision. At the heart of this is a lot of data and machine learning (face recognition, user similarity modeling, voice, graph algorithms, etc.)
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.