About The Role We are looking for a high‑leverage operator to join the LatAm Ops Team, specifically overseeing Matching and Trip Radar—the core engines that connect millions of riders and earners every day. You will sit at the high‑stakes intersection of Data Science, Product Engineering, and Local Operations. You'll be tasked with solving some of the most visible challenges in one of Uber's most critical global regions. What You’ll Do Own the Diagnosis: Conduct deep‑dive analyses into marketplace failures across LatAm, identifying structural gaps in our matching logic. Architect and review Experiments: Serve as the bridge to our Tech teams, review, challenge, and recommend experiments for our matching algorithms, ensuring that global product builds solve local LatAm complexities. Operational Command: Act as the strategic lead for local launches, aligning regional priorities with global product roadmaps, ensuring that when we hit “go” on a new feature, it lands with maximum impact. Build the Future (Automation): Build frameworks and automated tools to scale our team, increasing operational velocity. High Visibility: Work on the core of the Uber app—your work on Matching and Trip Radar directly hits the P&L and is monitored by leadership daily. Tech‑Heavy Collaboration: Deeply embedded with Product and Engineering, influencing the roadmap of our most sophisticated marketplace tools. Unmatched Growth: Leverage the complexity of the LatAm market to accelerate your career in tech operations. What You’ll Need 5‑7 years of professional experience. English proficiency. The Analytical Edge: A “builder” mindset with SQL/Python skills—model solutions instead of merely spotting problems. Technical Fluency: Understand how algorithms function and how small changes in logic ripple across a massive marketplace. Stakeholder management: Manage stakeholders across time zones and translate complex technical constraints into clear operational strategies for local teams. Bias for Action: Energized by big‑impact projects and unafraid to own launches affecting millions of users. #J-18808-Ljbffr