Principal Product Manager, Recommendation

Principal Product Manager, Recommendation

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.

Customer satisfaction is our highest priority. True quality is a combination of premium materials and high production standards that everyone can feel good about. We're expert curators that find the very best and bring it to you at the lowest prices. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners. We're committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers.

Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You'll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.

The Ideal Candidate:

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. 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.

Responsibilities:

• 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

Requirements:

• 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)

Preferred:

• Generated and optimized creative content in production setting
• Personalized customer experience across multiple channels
• Demonstrated experience applying AI tools
• Excited by super-IC role with broad scope and impact, enabled by AI

Pay Range: $200,000 - $240,000 USD

Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. If you require reasonable accommodation during any part of the application or interview process, please contact [email protected]. We are committed to ensuring an inclusive and accessible hiring process for all candidates. At Quince, we're 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 Zoom—never 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.