Drimva

Quince

Principal Product Manager, Search

$250K–$334K

Palo Alto, California, United States · Principal · Full-time · Posted Oct 8, 2025

Experience
10+ years in product management, with at least 7 years working closely with data science, ML, or search/information retrieval teams.

About the job

Lead the strategy and evolution of Quince’s onsite search, improving its current platform and developing data-driven, AI-powered, semantic, and personalized product discovery.

What you'll do

  • Define search strategy and roadmap; improve current Algolia search and lead its evolution toward semantic and personalized experiences.
  • Lead data platforms and experimentation, including pipelines, dashboards, and A/B testing.
  • Partner with data science, data engineering, and ML engineering to deliver search models and pipelines; oversee QA, UAT, and launch signoff.

What they ask for

  • 10+ years of product management experience, including at least 7 years working closely with data science, ML, or search/information retrieval teams.
  • Track record 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, such as feature stores, inference platforms, model monitoring, and A/B testing of ML-driven systems.

Nice to have

  • Hands-on experience implementing or product managing semantic search or LLM agent-powered features.
  • Track record of personalization initiatives, such as customer-specific ranking, context-aware search, or lifecycle-based recommendations.

Pay

$250,000 — $334,000 USD (base salary)

Tools

Algolia, Elasticsearch, Solr, OpenSearch, A/B testing, vector-based retrieval, LLM

AI focus

Lead the evolution of search toward semantic, AI-powered, and personalized discovery, including vector-based retrieval, personalized ranking, and LLM-assisted discovery.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)