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Staff Product Manager, Search Algorithms

Faire·US·New York City, NY; San Francisco, CA·senior
mldata science
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About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role The Discovery pillar’s core mission is to make it easy and delightful for retailers to find brands and products their customers will love. This role will own product development of our algorithms powering search, the largest discovery surface by order volume. What you’ll do Develop and execute on a strategy that takes our search algorithms to the next level Refine our breakdown of key search query segments, identify novel opportunities for improvements, and diagnose root causes for today’s failure modes Refine our suite of offline and online metrics to help us better understand the retailer’s search experience and the performance of each component of our search system Evaluate tradeoffs between technical solutions across velocity, scale, cost, and modularity Work with and learn from a broad range of world-class leaders across engineering, product management, data science, design, and operations Make decisions alongside company founders and the CEO Empower small businesses around the world to chase their dreams and invest in their local communities Qualifications Bachelor’s degree or equivalent experience. You have 7+ years of experience in a product

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