Director of Product, Quince

• 10+ years of product management experience, with at least 7 years working closely with data science, ML, or search/information retrieval teams
• Proven track record of shipping and scaling customer-facing data science or search products with measurable business impact
• 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
• Familiarity with search platforms and technologies (e.g., Algolia, Elasticsearch, Solr, OpenSearch) and understanding of their strengths/limitations
• Excellent written and verbal communication skills; able to influence cross-functional teams and executive stakeholders without formal authority
• Strong analytical mindset; comfortable digging into data and collaborating with engineers/data scientists to answer product questions with evidence
• Demonstrated success in defining roadmaps, prioritizing tradeoffs, and delivering high-quality product experiences

Desirable

• At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail
• We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold
• We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices
• That mission demands a world-class team committed to excellence
• We're looking for a Product Lead to join our growing team
• In this role, you will be responsible for transforming onsite search from a keyword-based utility into an intelligent, personalized discovery engine
• In the near term, this role will focus on strengthening data platforms, experimentation, and incremental improvements on top of Algolia
• Over time, this person will drive the evolution of search toward semantic, AI-powered, and personalized experiences that differentiate our brand and delight customers
• This role plays a critical part in advancing both our team's goals and Quince's broader mission
• Define and execute the search strategy balancing immediate platform improvements with long-term innovation
• Lead data platform and experimentation efforts (data pipelines, dashboards, A/B testing) to enable rapid iteration and insight-driven decision making
• Manage and improve current Algolia-based search, focusing on relevance tuning, query handling, and performance optimization
• Build roadmap for AI/semantic search evolution (vector-based retrieval, personalized ranking, LLM-assisted discovery)
• Partner cross-functionally with data science, data engineering, and ML engineering to deliver next-gen search models and pipelines
• Oversee QA, UAT, and signoff for new algorithms, features, and experimentation frameworks before production launch
• Champion voice of the customer by translating insights into actionable improvements across search relevance, usability, and speed
• Act as an internal thought leader on how AI and semantic technologies can reshape product discovery
• Joining Quince means being part of a mission-driven team reshaping retail
• You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike

• Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services
• Offers are merit-based, communicated verbally, and followed up in writing
• Employment is contingent upon successful completion of a background check