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Engineering Manager II (Dynamic pricing)

Company: Uber
Location: San Francisco
Posted on: October 11, 2021

Job Description:

*About the Role*     The *Surge (Dynamic Pricing)* team, within the broader *Marketplace* group, ensures marketplace reliability when there are more riders than available drivers. Without Surge, trip requests will be unfulfilled once available supplies are used up, leaving the rest of riders stranded regardless of their willingness to pay and to wait. This would lead to unusable Uber experiences.   On the business side, this team generates *billions* of dollars in gross booking for the company by efficiently balancing between request conversion and rider welfare. On the technology front, this team defines reliability in Uber Marketplace's realtime pricing products, measures the gains and costs in trip throughput and rider welfare, and optimizes them in realtime (before rider shipping session converts), at scale (hundreds of thousands of decisions per second), through a data-driven approach. Specifically, this team collects user intent, processes this data through machine learning models and eventually makes the dynamic pricing decisions for each rider session.     *What the Candidate Will Need / Bonus Points*   ---- What the Candidate Will Do ----

* Manage a team of 5-10 ICs. * Own the technical roadmap, architecture, design and strategy for the team. * Hire and retain critical and top notch talent in backend, ML, optimization, data * Collaborate with multiple product, data and engineering teams to analyze key business problems and deliver engineering solutions end to end.

---- Basic Qualifications ----

As an Engineering Manager, you will be leading a group of engineering talents and working with data scientists to deliver dynamic pricing products directly impacting the ridesharing business.

* Setting the team vision. You understand the direction of the company, align and translate it into a team plan. * Delivering business impact. You work with product and data science partners to come up with success metrics, come up with and execute on concrete action plans.  * Building and growing the team. You attract top talents 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.  * Collaborating with and influencing other teams. You share and communicate roadmaps with external teams, understand and align team goals to collectively deliver results efficiently.

---- Preferred Qualifications ----

* BS/BE degree in Computer Science and related field. Advance degrees are preferred but not required. * A minimum 5 years of management experiences in online ranking, prediction, recommendation and engagement related fields. * Strong business acumen, preferably with proven records in optimization for business problems for large scale marketplaces. * Solid understanding and hands-on experiences with training/serving/optimization and backend system development. * Proficient in at least one programming language. * Deep knowledge in ML.  * Good understanding of operation research optimization. * Preferred to have experiences in online predictions through common statistical and machine learning modeling and/or operation research optimization.  * Optimistic and charismatic. The candidate should be comfortable with and willing to collaborate with both individual contributor engineers and product managers across the company. * Results-driven. Surge is a deeply technical team and we speak, live and breathe through results. The EM candidate should share the passion, with a strong focus on generating efficiency.    If you’re seeking to join and grow a team spanning a diverse skill set across scalable distributed systems, online machine learning modeling and training, algorithms design and optimization, mobile development and iterations, and want to build and optimize the dispatching brain to power the planet, then this job is for you.

Keywords: Uber, San Francisco , Engineering Manager II (Dynamic pricing), Other , San Francisco, California

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