About the Role
- - - - What the Candidate Will Do ----
- Define and drive the long-term technical strategy and architecture for the Marketplace Segmentation domain, influencing decisions across multiple teams and organizations.
- Lead large, ambiguous, and highly impactful initiatives that span multiple engineering teams and directly contribute to Uber's strategic goals for marketplace efficiency, growth, and profitability.
- Provide deep technical expertise and mentorship to senior and staff engineers, elevating the overall technical bar of the team and fostering innovation.
- Identify fundamental technical challenges and opportunities within matching, pricing, and user experience, proposing novel solutions that can unlock significant business value.
- Act as a technical thought leader, representing the team in cross-functional forums and driving alignment on complex technical topics with Product, Data Science, and Executive leadership.
- Architect highly scalable, resilient, and performant systems capable of handling Uber's massive real-time transaction volume and diverse global market conditions.
- Establish and advocate for best practices in system design, coding, testing, and operational excellence across the organization.
- - - - Basic Qualifications ----
- 8+ years of experience as a Software Engineer, including significant experience in a Staff or Principal Engineer role.
- Exceptional expertise in designing and building complex, mission-critical distributed systems at internet scale.
- Demonstrated ability to drive technical vision and strategy, translating business objectives into concrete technical roadmaps and executing against them.
- Deep knowledge of marketplace dynamics, economics, and optimization algorithms, with hands-on experience in areas like matching, pricing, or demand/supply forecasting.
- Proven track record of solving the most challenging technical problems with innovative and pragmatic solutions.
- Outstanding communication, influence, and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Strong commitment to mentorship and team growth, with experience shaping the careers of other senior engineers.
- - - - Preferred Qualifications ----
- Ph.D. or Master's degree in Computer Science, Operations Research, Machine Learning, or a related quantitative field.
- Publications or presentations at top-tier conferences or in academic journals.
- Experience with large-scale machine learning infrastructure and deployment in a real-time environment.
- Contributions to open-source projects or community leadership.
For Canada-based roles: The base salary range for this role is CAD$189,000 per year - CAD$210,000 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 .
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .