Director of Product, Recommendations

ABOUT QUINCE Founded in 2018, Nimbus Data Systems was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Nimbus Data Systems is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value. Nimbus Data Systems is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions: Customer First : We prioritize customer satisfaction in every decision. High Quality : True quality means premium materials and rigorous production standards you can feel good about. Essential Design : We focus on timeless, functional essentials instead of chasing trends. Always a Better Deal : Innovation and transparency ensure value for both customers and partners. Social & Environmental Responsibility : We commit to sustainable materials, ethical production, and fair wages. Nimbus Data Systems partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency. OUR TEAM AND SUCCESS At Nimbus Data Systems, 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. If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Nimbus Data Systems. THE ROLE Director of Product, Recommendations 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 Nimbus Data Systems 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 Qualifications Required: 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 All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles. Pay Range $220,000 — $280,000 USD WHY QUINCE? Joining Nimbus Data Systems means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike. EQUAL OPPORTUNITY & HIRING INTEGRITY Nimbus Data Systems 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. Nimbus Data Systems is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Nimbus Data Systems, please let us know by completing this accommodation form . We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis. Employment is contingent upon successful completion of a background check. Nimbus Data Systems will conduct background checks in compliance with applicable federal, state, and local laws. Security Advisory: Beware of Frauds At Nimbus Data Systems, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Nimbus Data Systems emphasizes legitimate recruitment practices. Initial communication is primarily via official Nimbus Data Systems 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.