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Principal Product Manager, Search

1 day, 7 hours ago
United States
Full-time
Lead
Product Manager
Product Management
Elasticsearch Machine Learning OpenSearch Solr
Apply Now
Quince

Quince

Quince challenges the notion that quality comes at a high price. They aim to provide products of equal or superior quality to luxury brands at significantly lower prices by eliminating middlemen and overseeing every aspect of production. Their goods ar...

Textiles, Apparel & Luxury Goods
51-250
Founded 2018
$64M raised
View All Jobs 53

Description

  • Define and execute the search strategy, balancing near-term platform improvements with long-term innovation.
  • Lead data platform and experimentation efforts, including data pipelines, dashboards, and A/B testing.
  • Manage and improve Algolia-based search performance, relevance tuning, and query handling.
  • Build the roadmap for AI and semantic search capabilities, including vector-based retrieval and personalized ranking.
  • Partner with data science, data engineering, and ML engineering teams to develop search models and pipelines.
  • Oversee QA, UAT, and signoff for new algorithms, features, and experimentation frameworks before launch.
  • Translate customer insights into improvements in search relevance, usability, and speed.
  • Serve as an internal thought leader on how AI and semantic technologies can shape product discovery.

Requirements

  • 6+ years of product management experience, including at least 3 years working closely with data science, ML, or search/information retrieval teams.
  • Proven experience shipping and scaling customer-facing data science or search products with measurable business impact.
  • Strong foundation in experimentation, including A/B testing, statistical methods, and KPI definition.
  • Knowledge of machine learning productization, including feature stores, inference platforms, model monitoring, and A/B testing of ML-driven systems.
  • Familiarity with search platforms such as Algolia, Elasticsearch, Solr, or OpenSearch, including their strengths and limitations.
  • Excellent written and verbal communication skills with the ability to influence cross-functional teams and executive stakeholders without formal authority.
  • Strong analytical skills and comfort working with engineers and data scientists to answer product questions with evidence.
  • Demonstrated success in defining roadmaps, prioritizing tradeoffs, and delivering high-quality product experiences.
  • Hands-on experience with semantic search or LLM agent-powered features is preferred.
  • Experience with personalization initiatives such as customer-specific ranking, context-aware search, or lifecycle-based recommendations is preferred.
  • Interest in a super-IC role with broad scope and impact, acting as a connector between engineering, data, and business is preferred.

Benefits

  • Base salary range of $200,000 to $250,000 USD.
  • Bonus may be provided for eligible roles.
  • Equity may be provided for eligible roles.
  • Opportunity to work on a mission-driven team reshaping retail.
  • Collaboration with talented colleagues on meaningful challenges.
  • Reasonable accommodations provided for qualified individuals with disabilities.
  • Equal employment opportunity and a workplace free from discrimination and harassment.
  • Background check conducted in compliance with applicable laws.

Interested in this position?

Apply directly on the company website

Apply Now

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