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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.
Job Responsibility
Own the Diagnosis: You won't just report on reliability issues
you'll own the 'why.' You will conduct deep-dive analyses into marketplace failures across LatAm, identifying structural gaps in our matching logic
Architect and review Experiments: You are the bridge to our Tech teams. You will review, challenge, and recommend experiments for our matching algorithms, ensuring that global product builds solve local LatAm complexities
Operational Command: You'll act as the strategic lead for local launches. You will align 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): We have no interest in repeating manual tasks. You will build the frameworks and automated tools that allow our team to scale, increasing our operational velocity
High Visibility: You are working 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: You will be deeply embedded with Product and Engineering, influencing the roadmap of our most sophisticated marketplace tools
Unmatched Growth: The complexity of the LatAm market provides a unique proving ground for anyone looking to accelerate their career in tech operations
Requirements
5 - 7 years of professional experience
English proficiency
The Analytical Edge: You have a builder mindset with the SQL/Python skills to back it up
You don't just find problems
you model solutions
Technical Fluency: You can hold your own in a room with engineers
You understand how algorithms function and how small changes in logic ripple across a massive marketplace
Stakeholder management: You know how to manage stakeholders across time zones
You can translate complex technical constraints into clear operational strategies for local teams
Bias for Action: You are energized by big-impact projects and aren't afraid to take ownership of a launch that affects millions of users