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The Marketplace Segmentation team is at the forefront of optimizing Uber's core rides business by strategically differentiating product offerings to cater to diverse rider needs and market conditions. We build and maintain critical products like UberX Priority and Wait & Save. Our work also extends to strategic initiatives such as building a tiered portfolio and expanding Uber's global footprint. We leverage advanced matching algorithms, dynamic pricing, and machine learning to balance marketplace supply and demand, enhance rider experience, and drive incremental growth.
Job Responsibility:
Lead the technical design and execution of complex features and medium-sized projects that significantly impact the team's products and strategic initiatives
Drive architectural decisions and system improvements within your area of ownership, ensuring scalability, reliability, and performance for critical marketplace services
Collaborate cross-functionally with Product, Data Science, Operations, and other engineering teams to define technical solutions, identify trade-offs (e.g., price vs. ETA), and align on roadmaps
Solve ambiguous and challenging technical problems related to real-time matching, dynamic pricing, ML model integration, or complex user experience flows
Champion engineering best practices, including testing, monitoring, and operational excellence, ensuring the health and stability of production systems
Mentor and guide junior and mid-level engineers (L3, L4), providing technical leadership, design feedback, and fostering their professional growth
Contribute to the team's long-term technical vision and influence project prioritization based on technical feasibility and impact
Requirements:
5+ years of experience as a Software Engineer, with a proven track record of leading significant projects
Expertise in designing, building, and operating large-scale distributed systems in a production environment
Deep understanding of concurrency, fault tolerance, and performance optimization
Strong analytical and problem-solving skills, with the ability to break down complex problems and devise elegant solutions
Excellent communication and collaboration skills, capable of working effectively with diverse stakeholders
Experience mentoring junior engineers and fostering a culture of technical excellence
Nice to have:
Direct experience with marketplace platforms, demand/supply forecasting, or real-time optimization engines
Advanced degrees (Master's or Ph.D.) in Computer Science, Engineering, or a related field
Familiarity with causal inference and experimentation platforms (e.g., A/B testing, Synthetic Control)
Experience with Machine Learning (ML) system design and deployment
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp