Lyst runs a fashion discovery marketplace on a Python/Django and React stack, with Elasticsearch powering search and Snowflake, dbt and Looker underpinning analytics. A native iOS toolchain (Swift, SwiftUI, Bitrise, Fastlane) paired with AppsFlyer and Branch points to an app-first growth engine. Hiring is accelerating and evenly split between engineering and sales, with partner acquisition focused on German and Italian brands.
Notable leadership hires: Technical Team Lead
Lyst is a London-headquartered fashion shopping platform founded in 2010 that aggregates premium and luxury products from brands and retailers into a single search and discovery experience. It serves fashion shoppers globally and earns from connecting partner brands with audiences. The company has 51–200 employees, is privately held, and became part of Zozo, the Japanese fashion e-commerce operator, in 2025. Current hiring spans the United Kingdom, Germany and Italy across engineering, sales, data, design and marketing.
Lyst uses Python with Django and Flask, React and TypeScript, Elasticsearch, AWS, Kubernetes, Terraform, Cloudflare, Snowflake, dbt and Looker, plus Swift and SwiftUI for iOS.
Yes. Lyst is hiring in Germany, Italy and the United Kingdom, with sales roles tied to acquiring and onboarding German fashion brands alongside engineering and data hires.
Lyst is onboarding German fashion brands, migrating partner data feeds, scaling infrastructure toward a billion monthly requests, expanding self-serve analytics and shipping AI-driven features.
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Lyst's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
