Director of Product, Quince

• The ideal candidate thrives in a fast-paced, performance-driven environment and will be responsible for delivering a differentiated product that addresses a clear customer need and represents a viable business opportunity
• Overall 8+ years of product experience with at least 4 years working closely with a data science team in the consumer space
• Masters degree in a technical or analytical discipline (or equivalent experience)
• Experience leading a recommendations or search service
• Track record of outsized impact and career growth in prior roles
• Proven ability to influence cross-functional teams without formal authority
• Demonstrated success in defining and launching excellent products
• Excellent written and verbal communication skills
• Passion to answer Product/Engineering questions with data
• Hybrid Schedule: 3 days in our Palo Alto office (Mon, Thurs, Fri)

Desirable

• At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail
• We are a destination for builders, innovators, and operators to come together and challenge the status quo
• Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence
• You will work alongside our team of world class product managers, engineers, designers and data scientists to drive the recommendation platform across the consumer experience from the moment a customer lands on Quince to post-checkout and everything in between including lifecycle touchpoints
• Define the recommendations strategy balancing short term needs with long term differentiation
• Define and monitor KPIs, making quick adjustments to ensure strong performance
• Build our recommendations platform enabling personalization across all storefront and lifecycle touch points
• Work cross-functionally with design, creative, data science, and engineering to prioritize and deliver outstanding customer experiences
• Oversee UAT and signoff for all recommendation models and experiences launched to production
• Plan and manage a roadmap of constant A/B testing to optimize key metrics