Quince is looking to build a recommendations platform to personalize the customer experience across all touchpoints, from initial landing to post-checkout and lifecycle interactions, ultimately driving customer engagement and business growth.
Requirements
- Experience leading a recommendations or search service
- Generated and optimized creative content in production setting
- Personalized customer experience across multiple channels
- Demonstrated experience applying AI tools
- Overall 8+ years of product experience with at least 4 years working closely with a data science team in the consumer space
Responsibilities
- Build our recommendations platform enabling personalization across all storefront and lifecycle touch points
- Plan and manage a roadmap of constant A/B testing to optimize key metrics
- Define the recommendations strategy balancing short term needs with long term differentiation
- Define and monitor KPIs, making quick adjustments to ensure strong performance
- 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
Other
- Masters degree in a technical or analytical discipline (or equivalent experience)
- 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)
