Senior Staff Engineer - Marketplace

Uber • Sunnyvale, CA • 3w ago

About the Role

At Uber, the Consumer Pricing and Incentives team - part of the Marketplace organization - directly shapes how millions of people experience our Delivery business, from ordering their favorite meals to getting groceries delivered in minutes. Our systems power decisions that impact hundreds of millions of consumers and millions of merchants worldwide - and we're scaling faster than ever.

We are looking for builders: individuals who love solving complex problems, thinking strategically, and designing systems that scale globally. If you are excited about making a real impact at one of the world's fastest-moving tech companies, we'd love to meet you.

This is an opportunity to join a high-visibility team that directly shapes Uber's consumer experience. You will tackle massive-scale engineering challenges, work alongside some of the brightest minds in tech, and see your work translate into real-world results for millions of people.

What You Will Do

Drive the vision: You'll turn ambitious team goals into reality, helping set direction and leading initiatives that move the needle for our customers and business.

Deliver measurable impact: You'll collaborate closely with product managers and data scientists to define success metrics - and then lead engineering efforts to hit (and exceed) them.

Elevate our technology: You'll proactively identify opportunities to improve system scalability, reliability, and efficiency, ensuring we stay ahead as the business grows.

Basic Qualifications

PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 4-years full-time Software Engineering work experience OR 7-years full-time Software Engineering work experience, WHICH INCLUDES 4-years total technical software engineering experience in one or more of the following areas:

Programming language (e.g. C, C++, Java, Python, or Go)

Note the 4-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.

Demonstrated examples of project leadership roles, delivering production-level features from inception, and promoting a high-quality culture amongst the team

Deep system design skills. You know how to build highly-scalable, robust, and fault-tolerant services that support our unique exponential growth requirements

Demonstrated experience easily speaking to the operational aspects of monitoring, alerting, and structuring code for production-level debugging and optimization

Preferred Qualifications

Prior experience in the pricing domain

Knowledge of machine learning and/or optimization

A background in product experimentation including the statistical knowledge, mechanics of experimentation and analysis so that you are able to interpret, debug and challenge experimental results when necessary

For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other @types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

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