Tech Stack

Description

You will lead the product vision, strategy, and execution of next-gen personalization systems across menu ranking, recommendations, search, predictive preferences, and adaptive UI. You will own the personalization engine across the eater journey, working cross-functionally with ML, engineering, data science, design, and culinary teams to build a scalable, chef-driven food experience that lifts retention, conversion, and LTV.

Requirements

• Experience leading personalization product strategy and execution.
• Deep understanding of ML-powered personalization systems, ranking algorithms, and recommendation engines.
• Ability to translate customer insights and behavioral data into product frameworks.
• Experience with A/B testing and experimentation.
• Cross-functional leadership skills across engineering, ML, design, and data science.

Responsibilities

• Own the end-to-end personalization roadmap including recommendations, ranking algorithms, adaptive feed, intent modeling, and predictive food preferences.
• Build a unified personalization strategy spanning discovery, ordering, search, and post-order experiences.
• Partner with Engineering and ML to design, build, and iterate on models that personalize menus, recommendations, and content surfaces.
• Drive experimentation, A/B testing, and model evaluation frameworks to measure lift.
• Develop understanding of eater behavior patterns and work with Data Science to identify behavioral segments and retention impacts.