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Group Product Manager - Payment - Risk

Product Management, Product in Palo Alto, CA

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’re looking for an experienced Product leader to lead our efforts to build and take Uber’s risk management technology to the next level.  Our team is pioneering new techniques and technologies everyday to detect and counter bad actors all over the world who are constantly adapting and discovering new ways to abuse our platform.

What You’ll Do


  • Have the vision and ability to build and implement scalable systems and technologies at one of the largest players in the rapidly evolving m-commerce environment.
  • Internalize and deeply understand Uber’s mission and strategies, as well as the mission and objectives of various risk teams and stakeholders
  • Recruit, manage, coach and inspire a team of highly technical Product Managers. Ensure strong team dynamics, team and individual team member performance and growth
  • Work effectively with multiple business programs, translate their business needs into abstract  product vision and strategy, and deliver the best in class platform working with the engineering team
  • Own multiple teams and multiple projects working toward a scalable data infrastructure that supports your internal customers’ needs. Attain internal product-market fit and widespread product adoption among business consumers at Uber
  • Lead by example. Be incredibly truth-seeking and finger-tippy with data, set a high bar for the team to think boldly and creatively and then to funnel that energy into concrete products and execution plans, move fast, be biased toward action.


What You’ll Need


  • A graduate degree or equivalent in computer science or a quantitative domain plus hands-on software engineering and/or data science experience. Technical understanding must go from the highest abstractions down to the metal.
  • 10+ years experience delivering highly successful and innovative risk detection, security or data management systems with your fingerprints all over them - you’re extremely proud of what you’ve accomplished
  • Excellent communicator that is good at listening and influencing. Visionary with strong framing ability and executive presence
  • Hands on technical background, know product and engineering team’s work in depth; Get your hands dirty a lot
  • A high bar across the board - from your own contributions to the people you work with to the products you work on
  • A “driver” personality - biased toward action, great collaborator and master disambiguator/simplifier - constantly pushing toward clarity and delivery
  • Grittiness.  You never hesitate to roll up your sleeves and tackle something hands-on, you persevere when others fall away


Bonus Points


  • Worked at a company with international presence to truly understand the advantages and disadvantages of centralized vs. decentralized problem solving
  • Close working relationship or leading operational teams in the past
  • Deep understanding of regulatory requirements for AML, KYC, and transaction monitoring


About the Team


The overall Risk team is close to 150 people, with 50% being engineers, and the rest as Product Managers, Data Scientists, and Risk Analysts. The PM team will consist of rockstar Product Managers who work in close collaboration with both internal and external team members.  The team will help build and own systems that enable a wide range of Risk controls for Fraud, Marketplace Abuse, Enterprise and Platform Risk, and Operations. These systems are comprised of numerous data pipelines that take data from event emission and ingestion all the way through processing and machine learning, decisioning at scale, and BI applications.


See our Candidate Privacy Statement

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.