Staff Product Manager, Personalization & AI

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 Staff Product Manager, Personalization AI to lead the product vision, strategy, and execution of two interconnected pillars: our next-gen personalization systems (menu ranking, recommendations, search, predictive preferences, and adaptive UI) and a new customer-facing AI experience powered by LLMs. This role will own both the personalization engine across the entire eater journey and the 0→1 build of a customer-facing AI experience—and will work cross-functionally with ML, LLM engineering, frontend and backend engineering, data science, design, and our culinary teams to build a highly adaptive, intelligent food experience. You'll go deep into understanding eater behaviors, intent signals, and food preferences, and translate them into a scalable roadmap across both personalization and conversational AI that meaningfully lifts retention, conversion, and LTV.

Our users make hundreds of micro-decisions every week; the goal is to simplify all of them—whether through intelligent ranking or a natural-language experience.

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. , 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.

Build the Customer-Facing AI Experience (0→1) Own the 0→1 product vision and roadmap for a customer-facing conversational AI experience—from problem definition and early MVP through launch and iteration. Define use cases, conversation flows, and success criteria, balancing eater needs with technical feasibility and business goals. Partner closely with LLM engineering to evaluate models, define grounding strategies, and drive prompt/context architecture decisions from a product lens.

Own the full frontend product surface for the AI experience end-to-end, from UX vision through shipped features. Establish evaluation frameworks for LLM product quality—including relevance, hallucination rate, tone, and task completion—and iterate based on real user feedback. 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.

Work closely with Data Science to identify behavioral segments, affinity clusters, and downstream retention impacts. Cross-Functional Leadership Own the end-to-end frontend product surface for the customer-facing AI experience, partnering closely with Design and Engineering from concept through launch.