Senior Staff Engineer - Marketplace Competitive Intelligence

Senior Staff Engineer - Marketplace Competitive Intelligence Department: Engineering Team: Backend Location: San Francisco, United States Type: Full-Time **About the Role** Uber is looking for a Senior Staff Engineer to lead the technical vision and execution for our Competitive Intelligence domain. A mission-critical space at the intersection of core business strategy and market-level decision systems such as pricing, incentives, and marketplace configuration. This role spans both offensive and defensive workstreams, requiring a systems thinker who can operate across high-stakes ambiguity and deep technical complexity. On the offensive side, you’ll help us derive meaningful, actionable insight from incomplete, noisy, and often unreliable data sources to better understand market dynamics, competitor behavior, and pricing strategy. The systems you build must extract signal from chaos, integrating low-trust external data into internal pricing and incentive systems, and shaping coherent narratives that guide Uber’s most strategic decisions. On the defensive front, you’ll oversee the architecture and technical leadership needed to prevent scraping and data abuse, protecting the integrity of our platform and preserving the value of Uber’s proprietary data. This includes work in adversarial machine learning, bot detection, and the design of resilient, real-time defenses at scale. This role offers a rare opportunity to define the direction of critical, high-impact systems that shape Uber’s competitive edge, while mentoring engineers and partnering closely with senior leadership across product, engineering, data science, and security. **What You Will Do:** - Lead the design and development of systems that extract strategic insights from unreliable and fragmented market data - Architect and guide the implementation of real-time defenses against scraping and data abuse, working on adversarial machine learning and bot detection solutions to protect Uber’s data and platform integrity at scale. - Drive critical cross-functional initiatives by partnering with data science, security, product, and engineering teams to align te