Director of Product, Search

Responsibilities 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

Qualifications Required: 6+ years of product management experience, with at least 3 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 Preferred: 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 All posted ranges are reflective of base salary and may vary depending upon experience level and location.

Bonus and equity may also be provided for eligible roles. Pay Range $200,000 — $250,000 USD WHY QUINCE? 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. EQUAL OPPORTUNITY & HIRING INTEGRITY Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form . We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis. Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws. Security Advisory: Beware of Frauds At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. 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. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.

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