Director of Product (Search)

Join Quince, a mission-driven company redefining modern retail with a focus on quality, value, and sustainability. As the Director of Product (Search), you will lead the transformation of onsite search into an intelligent, personalized discovery engine. Your role will involve defining and executing the search strategy, managing the current Algolia-based search, and building a roadmap for AI/semantic search evolution. You will collaborate cross-functionally with data science, data engineering, and ML engineering, and act as an internal thought leader on AI and semantic technologies.

• Definir y ejecutar la estrategia de búsqueda, equilibrando las mejoras inmediatas de la plataforma con la innovación a largo plazo.
• Liderar los esfuerzos de la plataforma de datos y la experimentación (canales de datos, paneles de control, pruebas A/B) para permitir la iteración rápida y la toma de decisiones basada en datos.
• Gestionar y mejorar la búsqueda actual basada en Algolia, centrándose en la sintonización de la relevancia, el manejo de consultas y la optimización del rendimiento.
• Demonstrated success in defining roadmaps, prioritizing tradeoffs, and delivering high-quality product experiences
• Familiarity with search platforms and technologies (e.g., Algolia, Elasticsearch, Solr, OpenSearch) and understanding of their strengths/limitations
• Strong analytical mindset; comfortable digging into data and collaborating with engineers/data scientists to answer product questions with evidence
• Proven track record of shipping and scaling customer-facing data science or search products with measurable business impact
• Excellent written and verbal communication skills; able to influence cross-functional teams and executive stakeholders without formal authority
• Strong foundation in experimentation (A/B testing, statistical methods, KPI definition) and ability to translate insights into product decisions
• Knowledge of machine learning productization: feature stores, inference platforms, model monitoring, and A/B testing of ML-driven systems
• Hands-on experience implementing or product managing semantic search, LLM agent-powered features
• Track record of personalization initiatives (customer-specific ranking, context-aware search, lifecycle-based recommendations)
• Excited by a super-IC role with broad scope and impact, acting as the connective tissue between engineering, data, and business
• 10+ years of product management experience, with at least 7 years working closely with data science, ML, or search/information retrieval teams