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AI-Powered Job Summary
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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.
What The Candidate Will Do
- Lead Technical Execution: Lead the technical design and execution of complex features and medium-sized projects that significantly impact the team's products and strategic initiatives.
- Drive Architecture: Drive architectural decisions and system improvements within your area of ownership, ensuring scalability, reliability, and performance for critical marketplace services.
- Cross-functional Collaboration: 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 Ambiguity: Solve ambiguous and challenging technical problems related to real-time matching, dynamic pricing, ML model integration, or complex user experience flows.
- Champion Excellence: Champion engineering best practices, including testing, monitoring, and operational excellence, ensuring the health and stability of production systems.
- Mentorship: Mentor and guide junior and mid-level engineers (L3, L4), providing technical leadership, design feedback, and fostering their professional growth.
- Strategic Input: Contribute to the team's long-term technical vision and influence project prioritization based on technical feasibility and impact.
- Experience: 5+ years of experience as a Software Engineer, with a proven track record of leading significant projects.
- System Design Expertise: Expertise in designing, building, and operating large-scale distributed systems in a production environment.
- Technical Depth: Deep understanding of concurrency, fault tolerance, and performance optimization.
- Problem Solving: Strong analytical and problem-solving skills, with the ability to break down complex problems and devise elegant solutions.
- Communication: Excellent communication and collaboration skills, capable of working effectively with diverse stakeholders.
- Leadership: Experience mentoring junior engineers and fostering a culture of technical excellence.
- Domain Experience: Direct experience with marketplace platforms, demand/supply forecasting, or real-time optimization engines.
- Advanced Education: Advanced degrees (Master's or Ph.D.) in Computer Science, Engineering, or a related field.
- Analytical Tools: Familiarity with causal inference and experimentation platforms (e.g., A/B testing, Synthetic Control).
- ML Systems: Experience with Machine Learning (ML) system design and deployment.
Key Skills
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