Product Operations • Mid-Level

**About the Role** Improve Uber’s product impact on a global scale. Work with cross-functional partners to surface needs, prioritize, test, launch, and iterate on Uber’s marketplace products. Develop and maintain Uber’s Global Intelligence related product suite to power Uber’s global delivery & mobility operations. **What the Candidate Will Do:** - Oversee Uber’s company wide relationships with external data providers and research agencies, including budgeting and procurement. - Guide team that translates externally collected data into regular reporting and ad hoc research projects for Uber’s executive & senior leadership teams (Sr Directors, Vice Presidents and Executives). - Spearhead cross-functional teams for any initiatives that focus on competitive strategy and benchmarking for Uber globally. - Leverage business metrics and competitive insights to optimize the end-to-end consumer experience and guide product improvements. - Develop and manage comprehensive rollout plans, ensuring execution across regions and alignment of functional stakeholders. - Drive semi-annual strategic planning, fostering a community of product leaders focused on scalable innovation and measurable outcomes. **Basic Qualifications:** - Bachelor's degree in Computer Science, Economics, Applied Mathematics, Engineering (Any), Data Science, Business Administration, or related field, and 5 years of progressive, post-baccalaureate experience in job offered or a product operations-related occupation. - Position requires: - **Analytics using** Gsheets, Excel, and Looker; - **Statistical analyses** including descriptive statistics, correlation, regression, confidence intervals, ability to build and understand econometric models in R, Python; - **Project management** related frameworks and software using Jira, Asana, and Microsoft Project; **Preferred Qualifications:** - **Analyzing user requirements**, procedures, and problems to automate or improve existing machine learning systems; - **Designing and implementing large scale customer experiments and** Familiarity with experimentation techniques, including simulation or A/B testing; - **Developing relevant metrics and KPIs** to measure performance by product teams. For New York, NY-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [https://jobs.uber.com/en/benefits](https://jobs.uber.com/en/benefits). Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity 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://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.