Sr Manager, Science - Merchant

Job description

About the Role The Delivery team is in charge of the Eater and Merchant experience for UberEats - with the goal of guiding strategy, defining metrics and optimizing the experience for the product team. As a senior manager for the team, you'll be in charge of managing a team of talented Scientists to identify and drive high impact initiatives. What you’ll do Lead and develop a high-performing organization of scientists, including mentoring senior ICs and coaching other people managers to do their best work.

Define the technical vision and roadmap for critical product areas, balancing customer empathy with business needs and practical engineering constraints. Drive strategic thinking in marketplace design, pricing algorithms, and machine learning applications to ensure efficiency, reliability, and long-term system health. Refine ambiguous, high-impact business questions into structured analytical frameworks and deliver actionable insights in executive leadership forums.

Guide the establishment of data foundations, instrumentation, and observability infrastructure for rapidly evolving product areas. Partner cross-functionally with Engineering, Product, Ops, and Design to iterate on strategy and execute high-visibility initiatives that move the needle for Uber.

Basic Qualifications

Ph.D., M.S., or Bachelor's degree in Math, Economics, Statistics, Engineering, or other quantitative fields. Minimum 10 years of industry experience as a Scientist or equivalent (8+ years with a Ph.D.). Minimum 4 years of experience in people management, with a proven track record of managing managers and senior individual contributors. Proven leadership in influencing long-term strategy and technical direction, identifying high-leverage initiatives that span multiple organizations.

Strategic organizational skills, including the ability to restructure teams as necessary and find synergies between disparate groups to drive impact. Advanced expertise in experimental design, causal inference, and machine learning model development within production environments. Proficiency with Python or R for large-scale data analysis.

Preferred Qualifications

Proven ability to balance analytical rigor with sound business judgment and practical impact. Excellent storyteller with the ability to translate deep technical subjects into narratives that influence non-technical executive audiences. Track record of prioritizing and driving multiple complex work-streams forward simultaneously in a high-pressure environment.

Responsibilities

For New York City, NY-based roles

The base salary range for this role is USD $252,000 per year - USD $280,000 per year.

For Seattle, WA-based roles

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.