About the Role
The Growth & Marketing teams operate at the critical intersection of product and infrastructure, building technology to accelerate the fastest-growing company in history. We are seeking an experienced Engineering Manager II to lead the Marketing Personalization team. As an Engineering Manager II you will drive the technical vision, strategy, and execution for Uber's Marketing Personalization platform, enabling personalized recommendations and data-driven marketing experiences for billions of users. You will collaborate closely with Product, Applied Science, and Marketing teams to build scalable solutions that support personalized content delivery across multiple lines of business, including Uber Eats (Restaurant, Grocery & Retail), Rides, and more.
Want more jobs like this?
Get jobs in Seattle, WA delivered to your inbox every week.
Check out our latest Engineering Blog Post: https://www.uber.com/blog/personalized-marketing-at-scale/
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Lead and Scale: Manage, mentor, and grow a team of high-performing engineers, fostering a culture of innovation, collaboration, and continuous improvement.
- Technical Vision: Define and execute the technical roadmap for the next-generation Personalization platform, driving advancements in recommendations, personalized content generation in the marketing domain.
- Cross-Functional Collaboration: Work with Product, Applied Science, and CRM/Marketing teams to deliver impactful personalized marketing solutions that drive business growth.
- Product Development: Oversee the design and development of highly scalable systems and infrastructure for delivering personalized marketing content in real time.
- Innovation: Identify and drive new opportunities in AI/ML and data-driven personalization, enabling Uber to stay at the forefront of marketing technology.
- Operational Excellence: Ensure system reliability, performance, and security at scale, supporting billions of personalized messages and experiences monthly.
- Stakeholder Management: Work closely with leadership and partners to align priorities, resolve challenges, and deliver business value.
---- Basic Qualifications ----
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
- 8+ years of experience in software engineering, with at least 2 years in an engineering leadership or management role.
- Proven experience in designing, building, and scaling distributed systems.
- Strong people management skills with experience mentoring and developing engineers.
---- Preferred Qualifications ----
- Strong understanding of personalization and recommendation systems.
- Experience with marketing technology, AI/ML systems, or personalization platforms is a plus.
- Proven ability to work cross-functionally with product managers, data scientists, and marketing stakeholders.
For Seattle, WA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 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.
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.
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.