Lead Product Manager, Search

Our Story

Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. 

Our Values

Customer First. Customer satisfaction is our highest priority.

High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about.

Essential design. We don’t chase trends, and we don’t sell everything.  We’re expert curators that find the very best and bring it to you at the lowest prices.

Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners.  

Environmentally and Socially conscious.  We’re committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers.

Our Team And Success

Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.

Ideal Candidate:

The Search Lead Product Manager is 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, the Search Lead PM will drive the evolution of search toward semantic, AI-powered, and personalized experiences that differentiate our brand and delight customers.

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

Requirements:

• 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

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.   If you require reasonable accommodation during any part of the application or interview process, please contact accommodations@onequince.com. We are committed to ensuring an inclusive and accessible hiring process for all candidates.   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.