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Lyst

Senior AI Product Manager, Fashion Discovery

Lyst

Senior Product Manager driving AI Search and personalisation for fashion discovery platform. Leading cross-functional teams to enhance fashion shopping experiences through innovation.

Posted 6/1/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

About the role

Key responsibilities & impact
  • 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.
  • 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.

Requirements

What you’ll need
  • You’re a Senior Product Manager who has worked on complex consumer product experiences – ideally search, discovery, recommendations, personalisation, marketplaces, e-commerce, AI products and/or mobile apps.
  • You’re highly customer-led, but not vague about it. You know how to combine user research, behavioural data, experiment results and product judgement to make strong calls.
  • You’re comfortable with technical ambiguity. You can work with engineers and data scientists on AI, ranking, search quality and relevance without needing to be the technical expert yourself.
  • You have excellent product taste. You care about making discovery feel magical, not just functional.
  • You can simplify complexity. Fashion discovery has messy data, subjective intent, commercial constraints and edge cases everywhere. You can turn that into a roadmap people understand and believe in.
  • You’re commercially sharp. You know that great discovery should inspire users, but also move meaningful business metrics.
  • You’re excited by fashion, culture and how people shop – not just by the mechanics of search.

Benefits

Comp & perks
  • Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home.
  • Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst’s holiday year runs from 1 April to 31 March.
  • Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss.
  • Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service.
  • Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start.
  • Training Allowance: We’re big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources.
  • Pension Scheme: Our pension provider is The People’s Pension. We offer a minimum employee contribution of 5% and 3% employer contribution.
  • Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You’ll receive a free eye test every year and a discount towards glasses.
  • Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them.
  • Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work.
  • Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
  • Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home.
  • We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI Searchnatural language processingsearch personalisationranking algorithmsmultimodal discoveryimage-led searchdata analysisuser researchproduct managemente-commerce
Soft Skills
customer-ledproduct judgementsimplifying complexitycommercial acumenexcellent product tastecollaborationcommunicationproblem-solvingadaptabilitycreativity