• 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 York & Buenos Aires
• Spanish/English Lessons with a private coach
• Monthly CookUnity Credits to enjoy meals crafted by our creators
• Once a month in-person gatherings to fuel connection and belonging
• Chef-Led Culinary Trips to foodie destinations (twice a year)

• Analytical, systems-oriented, and comfortable with experimentation frameworks, model evaluation, and user behavior analytics
• Excited by the challenge of turning a large, dynamic food catalog into a highly personalized weekly experience
• A strong frontend product thinker who can own customer-facing UX and translate backend AI capabilities into intuitive, delightful user experiences
• Excited about building 0→1 conversational AI products and comfortable navigating the ambiguity of LLM-powered experiences
• Experienced in ML-powered product development, ranking algorithms, recommendations systems, or personalization platforms
• Technically grounded in how LLMs work—prompting, RAG, evaluation, guardrails—and able to partner fluently with LLM engineers
• Customer-obsessed and eager to understand why users choose the meals they do—and how to anticipate their next choice
• Collaborative, decisive, and able to partner tightly with Engineering, ML, Design, and cross-functional product groups
• Skilled at simplifying complex technical problems into user-centric solutions
• Proven ability to drive complex products from concept to launch in fast-paced environments
• Excellent communication skills and ability to influence stakeholders at all levels
• 7+ years of product management experience, including at least 4+ years working on personalization, search, recommendations, ML/AI products, or similar domains
• Strong analytical and technical intuition; can work closely with ML/infra teams and reason about relevance, ranking, and experimentation approaches
• Demonstrated ability to own customer-facing frontend product surfaces end-to-end, from UX vision through launch
• Experience with A/B testing platforms, online metrics, offline model evaluation, and data-driven decision making
• Strong user experience instincts with a track record of collaborating closely with design
• Experience with LLM-powered products, conversational AI, or chatbot development—hands-on 0→1 experience a strong plus
• If you’re interested in this role, please submit your application, and if we think you might be a fit, we’ll get in touch with you. Thank you for your time!