What You’ll Do
You will partner with engineering and data science to design and build the high capacity matching stack, which leverages existing technology platforms, e.g. Just-in-Time Dispatch, built by the Matching team in HQ and extends into brand new domains including:
- Route Generation: design, implement and iterate on vehicle and rider request deployment strategy.
- Fleet Management: design, implement and iterate on vehicle deployment, positioning, and fulfillment strategy
- Long Range Walking - algorithmically determine where the rider should walk to.
As the Product Manager, you will specifically need to
- Internalize existing transportation options in developing markets (some travel will be required for this)
- Develop a strategy for how Uber can evolve its Marketplace technology to add value to riders, fleets, and drivers in these markets via its Uber Bus offering
- Develop a longer term strategy for how this technology can power future transit systems in partnership with cities
- Deliver business impact. Uber Bus is currently in limited testing in two markets. We expect you to figure out what we need from Matching to scale to 15+ cities in 2019 and execute on that scaling.
- Building and growing the team. You attract top talent to the shared vision of the team, create and refine the team structure to scale. At the same time, you mentor and coach individual contributors to grow both technically and managerially. You should have a mature strategy and philosophy in hiring, and should have a successful track record of bootstrapping productive teams from zero to one.
- Collaborating with and influencing other teams. You share and communicate roadmaps with external teams, understand and align team goals to collectively deliver results efficiently.
- Culture ambassador. As the PM of a remote team, you effectively communicate with Matching team in HQ and carry on the team culture consistently.
What You’ll Need
- A passion to apply technology and data to change how humanity moves
- A minimum 4 years of product leadership experience. Experiences managing and working with/from remote offices are highly recommended.
- Ideally you have product experience with complex ecosystems or other marketplaces.
- Strong ability to transform complex data and competing interests into a prioritized roadmap.
- Experiencing formulating and driving principled product visions and owning the narrative for that vision.
- Experience working with cross functional teams of engineers and optimization scientists.
- Exceptional communication skills.
- Optimism and charisma. You should be comfortable with and willing to collaborate and inspire engineers and data scientists both locally and remotely across the company.
- Adventurous. This is a new team on a company big bet. This candidate needs to be comfortable with exploring unknowns and willing to take risks when necessary.
- Results-driven. Matching is a very technical team and we speak, live and breathe through results. The PM candidate should share the passion, with a strong focus on generating efficiency.
About the Team
The Matching team, within the broader Marketplace group, builds and optimizes dispatching algorithms and new dispatching paradigms with the goal of increasing efficiency and lowering wait times & prices across all of Uber’s marketplaces. In school, you may have learned about NP-hard problems like TSP (traveling salesman problem), VRP (vehicle routing problem), and the Knapsack problem - how would you like to solve even harder versions of these problems at scale, in realtime? And we’re not just talking about designing algorithms - you will also be building robust production systems to power these algorithms from the ground up and deliver the driver and rider experiences directly in the Uber apps.
We power UberX, our core personal transit business by evolving our rider/driver matching algorithms from locally greedy to globally optimal. We optimize UberPOOL by focusing on areas like rider/rider matching, time/cost tradeoffs, and the impact of walking and waiting on price and efficiency. We also enable Uber’s emerging marketplaces like UberEATS (food delivery), which introduce new challenges around inventory management, flexible time windows, and batching.