$ cat jobs/product-lead-data-ml-ai-platform-faire-e8361bdc32ae.json
Product Lead, Data, ML, & AI Platform
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 We're looking for a Product Lead to treat Faire's data and AI platforms as products: define clear user needs, measurable outcomes, and a roadmap that accelerates every team building on these foundations. You will make data trustworthy by default and make AI capabilities easy to adopt safely on top of it. When the data Faire runs on is high-quality and easy to use, every team that depends on it makes better decisions and ships better products. ML powers Faire's marketplace, from search and recommendations to personalization. Shared data sits underneath nearly every product decision we make. This role sits at that foundation: you will run structured discovery with the engineers and scientists who build on these platforms, prioritize the investments that unblock them, and hold the bar on quality, safety, and adoption. What you’ll do Own the path from ML idea to production: run structured discovery with ML engineers and data scientists, prioritize platform investments across training, deployment, observability, and model registry, and drive adoption so usage signals shape engineering priorities. Measure ML platform success through user outcomes, includi
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