Staff Product Manager - Search, Discovery, Personalization

The role

You will transform onsite search into an intelligent, personalized discovery engine. This involves strengthening data platforms, experimentation, and improving Algolia while driving the evolution toward AI-powered and semantic experiences.

What you will do

• Define and execute the search strategy
• Lead data platform and experimentation efforts
• Manage and improve current Algolia-based search
• Build roadmap for AI/semantic search evolution
• Partner cross-functionally with data science, data engineering, and ML engineering
• Oversee QA, UAT, and signoff for new algorithms and features
• Champion voice of the customer by translating insights into improvements
• Act as an internal thought leader on AI and semantic technologies

Required qualifications

• 5+ years of product management experience
• 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
• Strong foundation in experimentation (A/B testing, statistical methods, KPI definition)
• 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)
• Excellent written and verbal communication skills
• Strong analytical mindset
• Demonstrated success in defining roadmaps, prioritizing tradeoffs, and delivering high-quality product experiences

Nice to have

• 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

Before you apply

• Employment is contingent upon successful completion of a background check

About the company

Quince is a destination for builders, creators, innovators, and operators. They use a manufacturer-to-consumer (M2C) model to deliver high quality essentials for low prices.