cookunity

Sr. Product Manager, Personalization & AI

At a Glance

Location
New York, New York, United States; United States (Remote)
Work Regime
remote
Experience
7+ years
Posted
2026-08-10T13:26:14-04:00

Benefits & Perks

Time Off

🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After

Health Insurance

, and benefits. 🩺  Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️

Requirements

7+ years of product management experience, including at least 4+ years working on personalization, search, recommendations, ML/AI products, or similar domains.

Experience with LLM-powered products, conversational AI, or chatbot development—hands-on 0→1 experience a strong plus.

Strong analytical and technical intuition; can work closely with ML/infra teams and reason about relevance, ranking, and experimentation approaches.

Proven ability to drive complex products from concept to launch in fast-paced environments.

Experience with A/B testing platforms, online metrics, offline model evaluation, and data-driven decision making.

Demonstrated ability to own customer-facing frontend product surfaces end-to-end, from UX vision through launch.

Compensation & Benefits

Build the core engine behind the future of personalized and AI-powered food experiences.

Own a deeply impactful part of the product that directly influences customer happiness and long-term retention.

Collaborate with a world-class team of engineers, data scientists, designers, and chefs.

Work in a fast-growing, chef-driven marketplace experiencing rapid expansion across the U.S. and Canada.

Competitive compensation, equity package, and benefits.

Responsibilities

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.

Define & Drive Product Strategy

Own the end-to-end personalization roadmap including recommendations, ranking algorithms, adaptive feed, intent modeling, and predictive food preferences.