About the job
Embrace the Future of E-Commerce at Whatnot!
Whatnot stands as the premier live shopping platform in North America and Europe, where enthusiasts can buy, sell, and discover their favorite items. We are revolutionizing e-commerce by intertwining community, shopping, and entertainment into a personalized experience. As a remote co-located team, we thrive on innovation, grounded in our core values. With offices across the US, UK, Germany, Ireland, and Poland, we are collectively crafting the future of online marketplaces.
From fashion, beauty, and electronics to collectibles such as trading cards, comic books, and live plants, our live auctions cater to diverse interests.
And this is just the beginning! As one of the fastest-growing marketplaces, we seek bold, innovative problem-solvers across all sectors. Stay updated with the latest from Whatnot through our news and engineering blogs and join us in empowering individuals to transform their passions into thriving businesses while fostering connections through commerce.
Role Overview
We are on the lookout for intellectually curious and highly driven individuals to join us as foundational members in shaping our Discovery Platform. In this pivotal role, you will be instrumental in defining the technical trajectory and designing a robust, scalable Discovery system that aligns with our business growth, enhancing functionalities like feed, browse, search, and taxonomy systems, all while addressing the unique challenges of a live shopping marketplace!
As a key player in a highly collaborative environment, you will make critical decisions on integrating retrieval, ranking through machine learning, real-time and stream processing, and content understanding, all aimed at curating a personalized discovery experience that enhances product iterations while ensuring reliability.
The ideal candidate will possess experience in constructing discovery backend and data systems at scale, alongside the ability to collaborate closely with product engineers to address user needs while making informed trade-offs towards platform development. We often prototype new ideas rapidly and subsequently scale them, requiring an expert adept in both rapid experimentation and extensive system deployment.

