Senior Product Manager, Personalization
Confirmed live in the last 24 hours
CookUnity
Job Description
About CookUnity:
Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.
Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.
If that mission has you hungry in more ways than one, you’ve found the right job posting.
The Role
We’re looking for a Senior Product Manager, Personalization to lead the product vision, strategy, and execution of our next-gen personalization systems across menu ranking, recommendations, search, predictive preferences, and adaptive UI.
This role will own the personalization engine across the entire eater journey—from week-1 onboarding through long-term engagement—and will work cross-functionally with ML, engineering, data science, design, and our culinary teams to build a highly adaptive, chef-driven food experience.
You’ll go deep into understanding eater behaviors, intent signals, and food preferences, and translate them into a scalable personalization roadmap that meaningfully lifts retention, conversion, and LTV. Our users make hundreds of micro-decisions every week; the goal is to simplify all of them.
What You’ll Do
Define & Drive Product Strategy
- Own the end-to-end personalization roadmap including recommendations, ranking algorithms, adaptive feed, intent modeling, and predictive food preferences.
- Build a unified personalization strategy that spans discovery, ordering, search, and post-order experiences.
- Translate customer insights and behavioral data into frameworks for “personalized ordering journeys” across weekly menus.
Ship High-Impact Personalization Features
- Partner with Engineering and ML to design, build, and iterate on models that personalize menus, recommendations, and content surfaces.
- Launch new ML-powered features—e.g., personalized ranking, contextual suggestion surfaces, food-intent clustering, dietary preference modeling, and personalization-aware UX.
- Drive experimentation, A/B testing, and offline/online model evaluation frameworks to measure lift rigorously.
Deeply Understand Customer Behavior
- Develop a sophisticated understanding of eater behavior patterns, including early-week ordering signals, cuisine preferences, dietary constraints, and long-term engagement drivers.
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