UB

Sr. Associate, AI GTM Analytics & Insights

Uber
Mexico City, MexicoPosted 16 May 2026

Job Description

Sr. Associate, AI GTM Analytics & Insights Department: Operations Team: Sales Operations Location: Mexico City, Mexico Type: Full-Time What the Candidate Will Do ---- 1. Build predictive models and GTM frameworks — account scoring, forecasting, quota modeling, and Book Building that directly shape where sellers focus and how leadership allocates resources across a global sales org. 2. Own high-stakes analytical models — build and maintain outputs where accuracy matters because they directly influence how the business operates and how people are measured, pressure-testing assumptions and surfacing downstream impact before decisions are made. 3. Engineer automated data infrastructure — replace manual workflows with scalable SQL pipelines, Python-based automation, and ETL processes so the team scales without bottlenecks. 4. Deliver executive insights — produce deep-dive analyses and data products for MBRs, QBRs, and leadership reviews, translating complex data into clear narratives with actionable recommendations. 5. Multiply your impact with AI — leverage AI-native tools across your entire workflow to build custom apps, automate repetitive work, and move at startup speed within Uber. \-\-\-\- Basic Qualifications ---- 1. Strong Experience using AI coding tools (Cursor, Claude Code, Copilot, or similar) as a core part of your workflow. 2. Preferably experience with SQL and Python for querying, data transformation, automation, and analytical modeling. 3. Demonstrated analytical problem-solving ability—you break down ambiguous problems, think in tradeoffs, and calibrate your rigor to the stakes. \-\-\-\- Preferred Qualifications ---- 1. Experience in environments where your analytical output directly affects business operations and people outcomes—and an appreciation for the precision and tradeoff-thinking that responsibility requires. 2. Ability to build lightweight data applications (Streamlit, Flask, or similar) that move insights beyond static dashboards into interactive, self-serve products. 3. Strong cross-functional communication—you present options with pros, cons, and who bears the impact
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