Staff Product Manager, Personalization & AI

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.

Qualifications

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

Pay Range

$175,000—$200,000 USD