Lead Product Manager, Search
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Job Location:
Palo Alto, CA - USA
Monthly Salary:
$ 200000 - 240000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 dont chase trends and we dont sell everything. Were 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. Were 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. Youll 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 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 scalingcustomer-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
We rely on market indicators and consider your specific job family background skills and experience to determine your compensation in the market range. Bonus eligibility varies by role and is determined based on the positions impact and contribution to our strategic goals.
Pay Range
$200000 - $240000 USD
At Quince were 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 Zoomnever 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.
Required Experience:
IC
Key Skills
- Time Management
- Data Analytics
- Analytical
- Agile
- Requirement Gathering
- Strategic thinking
- Visio
- Communication
- Problem Solving
- Market Research
- UML
- Cross Functional Teams
About Company
Quince brings luxury products like Mongolian Cashmere, Italian Leather, Turkish Cotton and Washable Silk to everyone at radically low prices. Shop premium essentials with no middleman.
