Membership-based premium beauty brand selling direct-to-consumer online
Beauty Pie is a London-based beauty brand selling lab-made premium products directly to members. Its stack shows a commerce replatform in motion: commercetools and Shopify run side by side while job posts describe moving the storefront to Shopify and integrating its data into a Snowflake, dbt and Airflow platform. Finance and planning hiring, plus Anaplan and Kinaxis, point to a push on forecasting and S&OP maturity.
Notable leadership hires: Social Art Director
Beauty Pie, founded in 2016 and headquartered in London, develops premium skincare and cosmetics produced in third-party labs across Europe and Asia. It sells those products directly to consumers through a membership model, avoiding traditional beauty retail markups. The company employs 51–200 people and hires in the United Kingdom. Current hiring spans marketing, data, finance, operations, support, engineering and sales, weighted toward senior roles. Job posts also reference opening its first permanent retail space.
Beauty Pie uses Shopify and commercetools for commerce, NetSuite for finance, Snowflake, dbt, Airflow and Looker for data, Braze, Klaviyo and Iterable for CRM messaging, plus AWS, Terraform and Datadog.
Yes. Job posts reference migrating the storefront to Shopify and integrating Shopify ecosystem data into its data platform, which runs on Snowflake, dbt and Apache Airflow.
Beauty Pie is building an FP&A reporting engine, new product launch and new-region demand forecasts, an integrated business planning / S&OP process, and a maturing data platform around Shopify.
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Beauty Pie'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.