Senior Product Manager, Actioning Experience & Platform

About the Role

UUber is a global technology company that is changing the way the world thinks about transportation. Every day, millions of people rely on Uber to get where they need to go - and to be the best platform for transportation, we must also be the safest.

As a Product Manager on the Safety Response and Intelligence team, you will build products that deliver fast, accurate, and empathetic outcomes for our users following a safety event on the platform. In parallel, you'll transform insights from our response products into a data foundation that empowers partner product teams who #StandForSafety.

---- What the Candidate Will Do ----

1. Lead cross-functional partners across Research, Design, and Business Operations to reimagine how users report safety issues on Uber's platform.
2. Build the next generation of safety agent tooling, including ML-powered case management systems.
3. Partner with Eng to develop an intelligence layer that connects product teams with actionable insights and predictive signals.
4. Launch platform capabilities that accelerate the ML and GenAI development lifecycle for safety use cases.
5. Redesign Uber's safety data foundations to support emerging mobility and delivery products, autonomous vehicles (AVs), and other paradigm shifts across our lines of business.

1. Bias to action. You are always ready to roll up your sleeves and dive deep to make progress.
2. User empathy. You have the full understanding of the user experience and pain points, and are motivated to mitigate any user friction.
3. Data savvy. You will roll up your sleeve and get deep into the weeds, e.g. fluency in SQL queries.
4. Leadership. You're able to educate and align cross-team stakeholders on product decisions.
5. Minimum of 7 years experience delivering highly successful products in a tech company, and you're extremely proud of what you've accomplished.
6. A great teammate. Your product instincts are matched by your humility and willingness to problem-solve with others.

1. Experience building ML-powered products from ideation through launch and monitoring.
2. Experience launching enterprise products for internal users, including other Product groups, Support, and Business Ops.
3. Experience working within a highly matrixed organization, including stakeholders across Product, Eng, Business Ops, Public Policy, and more.