6+ years of product management experience, including 3 years with data science or search teams
Demonstrated success in delivering data science or search products with measurable business impact
Strong background in experimentation, A/B testing, and KPI definition
Knowledge of machine learning productization and related technologies
Familiarity with search platforms such as Algolia or Elasticsearch
Excellent communication skills for influencing cross-functional teams
Strong analytical mindset, capable of leveraging data for product decisions
Proven ability to define product roadmaps and prioritize effectively
Responsibilities
Define and execute search strategy for immediate and long-term improvements
Lead data platform and experimentation initiatives to drive insights
Manage Algolia-based search for relevance and performance enhancement
Develop roadmap for AI and semantic search advancements
Collaborate with data science and engineering teams on search models
Oversee quality assurance for search algorithms and features
Champion customer insights into actionable product enhancements
Act as a thought leader on AI's role in product discovery
Benefits
Equal employment opportunities for all
Inclusivity and accessibility commitment in the hiring process
Emphasis on a secure and legitimate recruitment process
Opportunity to work with world-class talent from prestigious backgrounds
Focus on innovation and creating high-quality, affordable goods
Full Job Description
THE ROLE
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.
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
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:
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
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
Pay Range: $200,000-$280,000 + bonus + equity
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
$250,000-$334,000 USD
About Quince
Quince is a luxury fashion brand that specializes in high-end women's clothing. The company was founded in 2011 by creative director and designer, Nikki Erwin Margolis. Quince offers a range of products including dresses, tops, pants, and accessories made from high-quality materials such as silk, cashmere, and leather. The brand is known for its minimalist aesthetic and timeless designs that are meant to be worn season after season. Quince operates both online and through a brick-and-mortar store in Los Angeles.
