A remote Product Management role at CookUnity.
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We're looking for a Senior 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.
You Are
Experienced in ML-powered product development, ranking algorithms, recommendations systems, or personalization platforms.
Excited about building 0→1 conversational AI products and comfortable navigating the ambiguity of LLM-powered experiences.
Technically grounded in how LLMs work—prompting, RAG, evaluation, guardrails—and able to partner fluently with LLM engineers.
Analytical, systems-oriented, and comfortable with experimentation frameworks, model evaluation, and user behavior analytics.
A strong frontend product thinker who can own customer-facing UX and translate backend AI capabilities into intuitive, delightful user experiences.
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.
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.
Strong user experience instincts with a track record of collaborating closely with design.
Excellent communication skills and ability to influence stakeholders at all levels.
CookUnity
Product Management
35 open roles on Sydicom
CookUnity is a prepared meal delivery service offering a diverse menu of chef-crafted, ready-to-eat meals. They provide convenient and healthy meal solutions delivered directly to customers' homes.
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