Senior Product Manager, Personalization

Senior Product Manager, Personalization
Apply for the  Senior Product Manager, Personalization  role at  Cook Unity .

About Cook Unity
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, Cook Unity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, Cook Unity 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.

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.

Work closely with Data Science to identify behavioral segments, affinity clusters, and downstream retention impacts.

Cross‑Functional Leadership

Partner with Design to craft highly intuitive and adaptive user experiences (e.g., adaptive homepages, personalized filters, “you might love,” order‑again flows).

Work with Chefs and Culinary to incorporate menu diversity, cuisine metadata, and ingredient‑level signals into personalized experiences.

Collaborate with Growth, CRM, and Marketplace teams to personalize acquisition, onboarding, and reactivation journeys.

Drive Measurable Business Impact

Improve core funnel metrics (CVR, add‑to‑cart rate, search success rate).

Lift order retention, order frequency, and net AOV for all eater segments.

Increase long‑term revenue and reduce decision friction for customers navigating a large menu.

You Are

Experienced in ML‑powered product development, ranking algorithms, recommendation systems, or personalization platforms.

Analytical, systems‑oriented, and comfortable with experimentation frameworks, model evaluation, and user behavior analytics.

Skilled at simplifying complex technical problems into user‑centric solutions.

Excited by the challenge of turning a large, dynamic food catalog into a highly personalized weekly experience.

Collaborative, decisive, and able to partner tightly with Engineering, ML, Design, and cross‑functional product groups.

Customer‑obsessed and eager to understand why users choose the meals they do—and how to anticipate their next choice.

Qualifications

7+ years of product management experience, including at least 4+ years working on personalization, search, recommendations, ML/AI…