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
As the Lead Product Manager for Real time offers, you’ll be responsible for defining, developing and executing on a vision to provide Uber Riders compelling offers and awards to efficiently build long term relationships with riders. Within Uber’s complex marketplace, there are many signals that we can use in real time to personalize these offers depending on the needs of Riders. This can range from improving on negative experiences to developing real time to more valuable services, or to the rest of Uber’s growing ecosystem.
Our teams leverage a diversity of machine learning and system engineering approaches to produce an optimal set of offers that are most likely to encourage riders -- regardless of when they open the app, where they may be, or where they may be going -- to ride with Uber.
This role is based out of Uber’s Palo Alto office.
What You’ll Do
Bring true rider obsession: internalize who our riders are and what needs they have. You’ll translate these needs in compelling rider offers.
Be an advocate to constantly improve the richness in our data to develop more personalized user experiences.
Partner closely with our data science and engineering teams to prioritize inputs to improve on or improve current models.
Own a product roadmap that supports our riders interests, Uber’s goals and the Rider Engagement vision and objectives
Lead the vision, definition, and execution (from targeting models to front end UI) of new offers across all 600+ Uber Cities
Collaborate with local city teams to understand their needs and create scalable, managed tools to allow for rapid testing.
Collaborate with Uber internal stakeholders, including the product operations, finance, legal, policy and global operations teams to ensure that our technology supports Uber's business objectives, globally
Partner up with data science and engineering to design and implement experiments, and to turn learnings into globally scaled solutions.
What You’ll Need
Minimum 5 years of product management experience
Ability to proactively identify opportunities to leverage ML to solve difficult problems
Intellectual curiosity and domain expertise in Machine Learning
Experience formulating and driving a principled product vision and owning the narrative around that vision for leadership and stakeholders
Strong customer empathy, with an ability to transform complex data and customer insights into a prioritized roadmap
Experience working in a metrics and experimentation driven organization
Experience partnering with cross-functional teams of engineers, data scientists, and designers to deliver extraordinary products
Exceptional communication skills, both within your team and with leadership and stakeholders
Academic background in computer science, data science, statistics, economics, or engineering
About the Team
The Marketplace group builds the platform, products, and algorithms responsible for the real time execution and online optimization of Uber's marketplace. We are building the brain of Uber, solving NP-hard algorithms and economic optimization problems at scale, in real time, making all of the decisions for Uber's marketplaces based on up-to-the-second data as well as forecasts of the future. And we're not just talking about designing algorithms - we also build robust production systems to power these algorithms from the ground up. Our group's systems control the dynamics of all of Uber's markets, from our core personal transport business with UberX and UberPool, to Uber's emerging markets such as UberEATS and UberRUSH. We focus on areas like dynamic pricing (surge pricing, upfront pricing), intelligent dispatching (matching algorithms, dispatch paradigms), and supply positioning (optimal positioning of drivers in anticipation of demand patterns). The goal of these systems is to dramatically lower cost & ETAs for riders, increase revenue for driver partners, improve the overall efficiency and utilization of Uber's fleet of supply, and enable products in entirely new marketplaces.
Join us in blending user-centric design, algorithmic innovation in real time and machine learning and globally scaled business infrastructure, to bring the future of urban mobility to life.
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.