Quince

HQ
San Francisco
565 Total Employees
Year Founded: 2018

Quince Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers employee stock purchase plan

Offers employee discounts

Offers performance bonuses

Offers generous parental leave

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Offers an Employee Assistance Program (EAP)

Recently posted jobs

4 Days AgoSaved
In-Office
Palo Alto, CA, USA
Retail
Own growth marketing analytics across acquisition channels, including attribution modeling, incrementality testing, performance dashboards, automated insights, and predictive modeling. Partner with marketing leadership to translate channel data into budget and investment recommendations, uncover growth opportunities, and improve decision-making. Build scalable measurement frameworks and become the subject matter expert for growth data across the organization.
8 Days AgoSaved
In-Office
Palo Alto, CA, USA
Retail
Lead the strategy and evolution of Quince’s onsite search from Algolia-based keyword search toward personalized, semantic, and AI-powered discovery. Responsibilities include improving relevance and performance, leading data platforms and experimentation, building search and ML roadmaps, partnering with data and engineering teams, overseeing QA and UAT, and translating customer insights into product improvements. The role requires extensive product management experience and expertise in search, machine learning, experimentation, and personalization.
21 Days AgoSaved
In-Office
Palo Alto, CA, USA
Retail
Own analytics for cart, checkout, returns, exchanges, and accounts. Design experiments, apply causal inference, diagnose funnel issues, build KPI dashboards, maintain Python and SQL pipelines, and use AI-assisted workflows. Partner with Product, Engineering, and Design to prioritize opportunities and communicate evidence-based recommendations. The role requires strong statistical rigor, technical independence, and comfort with ambiguity in a fast-moving e-commerce environment.