Senior AI Product Manager, Fashion Discovery

Lyst is a global fashion shopping platform founded in London in 2010, catering to over 160M shoppers per year. We curate pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined forces with Zozo, operators of Zozotown (Japan’s leading fashion e-commerce platform). This partnership marks a bold new era for Lyst as we accelerate our ambition to redefine the future of fashion shopping through AI, personalisation, and cutting-edge technology. Lyst is building the world’s most compelling fashion discovery experience. The Discovery team sits inside our Transforming the Customer Experience product group and is at the centre of how people find, explore and fall in love with fashion on Lyst. This is the team leading our work on AI Search, natural language refinement, ranking, personalisation and the next generation of fashion-aware shopping journeys. Search in fashion is changing fast. People no longer just type “black dress”. They search with mood, context, occasion, taste and intent: “something minimal for a summer wedding”, “trainers like these but less obvious”, “quiet luxury work bags under £500”. Our job is to make Lyst understand what they mean – and help them discover products they could not have found anywhere else. We’re looking for a Senior Product Manager to help define and build that future. Discovery is one of the most important product bets at Lyst. The market is moving from keyword search to conversational, personalised and AI-assisted shopping. Our product already frames AI Search as a central part of that shift, with live experimentation around natural, expressive search and LLM-led intent interpretation. The wider market is moving the same way, with memory-aware, follow-up-led product discovery becoming a standard interaction model across AI shopping surfaces. This role is a chance to build what fashion discovery should become next: more visual, more personal, more expressive and much more intelligent than a grid of products behind a search box. And you get to drive that change. Responsibilities: You’ll lead the Discovery roadmap, from AI Search and refinement through to personalisation, ranking and new discovery surfaces. You’ll decide how Lyst should understand fashion intent: the language users use, the signals they give us, the products they engage with, and the moments where they need inspiration rather than a literal search result. You’ll partner closely with Engineering, Design, Data Science, Analytics and Research to turn ambiguous customer problems into sharp product bets, high-quality experiments and scalable product experiences. You’ll shape how AI shows up in the product – not as a novelty, but as a materially better way to search, refine, browse and discover fashion. You’ll use data and research to understand whether we are genuinely improving discovery: better search success, stronger engagement, more high-intent actions, more repeat usage and ultimately more orders. What you'll work on: The roadmap is evolving, but likely areas include: AI Search and natural language refinement. Search personalisation and fashion-aware ranking. Multimodal discovery, including image-led search and visual drill-downs. Inspirational query responses and richer discovery journeys. Reducing dead ends in search, including zero-results journeys, poor relevance and overly literal matching. Using Lyst’s fashion data to make discovery feel more intelligent, more personal and more culturally aware.