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Senior Product Manager (Personalization & AI)

  • Source: Cookunity
  • CookUnity
  • $150,000 to $180,000 /yr
  • On-site
  • New York City
  • Full-Time
  • Senior

Job Description

  • 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
  • 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
  • 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
  • Collaborate on personalization-related frontend surfaces (adaptive homepage, personalized filters, recommendation UI)—contributing product direction while partnering with other PMs and Design who share ownership
  • Work with Chefs and Culinary to incorporate menu diversity, cuisine metadata, and ingredient-level signals into both personalized and AI-assisted 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

Benefits

  • Comprehensive Health, Dental & Vision Insurance
  • 401(k) Plan to invest in your future
  • Paid Parental Leave
  • Wellness Benefit to support your physical, mental and emotional wellbeing
  • Unlimited Paid Vacation & Sick Days
  • 4-Week Paid Sabbatical after 5 years with us
  • Compassionate leave each time the need arises
  • Remote/Hybrid/On Site Options
  • Employee Stock Options Plan
  • Bi-annual bonus based on performance
  • Planning Sessions twice a year: New Y…

Skills

  • guardrails
  • greenhouse

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