Product Operations Manager, NOVA Earner Support
Uber
**About the Role**
The fundamental goal of Product Operations is to maximize products on a global scale. Product Operations works closely with cross-functional partners to surface needs, prioritize, test, launch, and iterate on products. This role is focused on the product suite that supports AI products on a global level. With a diverse user base globally, our goal is to help launch and iterate support and AI products that fit seamlessly into our users lives
**What You Will Do**
- Develop and launch AI products for Uber Eats Support
- Define the go-to-market plans and processes to operationalize our product strategy as an individual contributor on a highly-effective product team
- Lead a community of strategic leaders to encourage meaningful impact to the business
- Drive continuous improvement to the engagement models between product, engineering and business stakeholders teams
- Ensure functional partners are aligned on key objectives for the program/product
- Advise product teams on the global feasibility of products throughout the product life cycle
- Develop an end-to-end product rollout plan, and project-manage implementation
- Collaborate with key partners (legal, tax, policy, support etc) to prepare the product for launch and drive maximum impact
- Track core business metrics related to the product
- Identify key problem areas and/or geographies impacted by the product post-launch
- Create playbooks, trainings, and supporting documentation for product features
- Work with engineering teams to define test cases, lead bug bashes and enable smooth launches
**Basic Qualifications**
- Minimum 4+ years of experience in Program / Product Management, operations, business consulting, finance or have worked in a similar analytical role
- Experience with generating insights from large data sets
- Large-scale, global project / program management experience
- Ability to work cross functionally with global stakeholders & teams
- Ability to use data to inform, influence, and support critical decisions
- Experience leading projects end to end and ability to build out new strategies
- Bachelors Degree Obtained
**Preferred Qualifications**
- Prior experience working on global projects, or in an international setting
- Strong communication skills, ability to lead meetings daily
- User or market research experience
- A desire to learn, highly motivated self-starter, with an eagerness to learn and grow
- Ability to foster collaboration and facilitate teamwork
- Effective prioritization and documentation experience
- JIRA, Tableau and SQL proficiency
- 1+ year experience working on GenAI projects
- Data Analytics experience
- MBA or equivalent work experience
For San Francisco, CA-based roles: The base salary range for this role is USD$129,000 per year - USD$143,000 per year.
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](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://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.
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