Engineering Manager II, Marketplace Logistics

About the Role

Marketplace Logistics serves as the intelligence engine behind Uber's delivery network. As the company's decision-making core, we enable seamless movement from point A to point B for all deliveries-spanning Uber Eats, Grocery, Retail, and Packages. We orchestrate the logic for dispatching, intelligent order batching, delivery time prediction, and optimizing pickup and delivery windows. We constantly balance the trade-offs between timeliness and cost to build the most efficient experiences for our users.

Within the Marketplace Logistics organization, the Marketplace Simulation Team builds the systems for high-fidelity simulation of the Uber Marketplace. Our work mirrors the complex dynamics of our network, providing the critical validation layer for the algorithms that drive the business. This role offers exposure to the most critical services in the Uber stack, solving problems that range from scaling infrastructure to building machine learning models that accurately represent participant behaviors.

What You'll Do

- Provide technical leadership to a passionate, experienced, and diverse engineering team
- Work with the team and partners to define the broader architecture for the Marketplace Matching Simulation team
- See the big picture and identify inefficiencies and opportunities for meaningful improvements across that Logistics Matching Platform and Uber as a whole.
- Drive alignment between teams on architecture and responsibility delineation between platforms and product services.
- Raise the bar on engineering best practices across your org to produce best in class of code, and effective documentation, testing, and monitoring.

Basic Qualifications

- 4+ years experience as engineering manager
- 7+ years experience in product engineering, designing and coding
- Strong problem-solving skills, with expertise in algorithms, data structures, optimizations and data analysis
- BS or MS in Computer Science or a related technical field, or equivalent experience
- Passion for designing and building hyper-scale distributed systems
- Resilience, determination, ownership mindset, and a keen appetite for collaborative efforts
- Ability to execute and drive product roadmap
- Proven track record delivering business impact
- Strong communication skills, both written and verbal
- Managed teams sized 5 - 10 people

Preferred Qualifications

- Experience working in Marketplace or B2B companies
- Experience in productionizing machine learning or deep learning models in production
- Proficiency in batch and real-time data pipelines

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. 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 [](;br>
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](;br>
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.