Principal Product Manager, Recommendation

QuincePalo Alto, CA
12h$200,000 - $240,000Hybrid

About The Position

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.

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)

Nice To Haves

  • 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

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
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