Personalized cards, gifts, and flowers eCommerce platform serving 50M+ annual orders
Moonpig operates a multi-brand eCommerce platform (Moonpig, Greetz) delivering over 70 million personalized items annually across the UK, US, Australia, and Netherlands. The tech stack reveals a data-driven, infrastructure-heavy operation: Python + Go + .NET backend, Snowflake + BigQuery for analytics, dbt for transformation, plus AWS/Azure/GCP multi-cloud deployment. Active hiring in ops, data, and supply-chain leadership signals a company scaling fulfillment complexity and financial automation—projects include a 30% inventory reduction, FP&A automation, and AI governance implementation.
Notable leadership hires: Head of Supply Chain, Product Director
Moonpig Group is a public eCommerce retailer specializing in personalized greeting cards, gifts, and flowers. The company operates two primary brands across five countries and processed over 50 million orders in its most recent full year. The platform is technology-native: underpinned by Python, Go, and .NET services; powered by Snowflake, BigQuery, and dbt for analytics; and deployed across AWS, Azure, and GCP. Current operational priorities center on supply-chain consolidation (merging UK and Netherlands operations), inventory optimization, and financial reporting automation. Hiring velocity is accelerating, with active openings distributed across operations, data, sales, and finance.
Python, Go, .NET, React, TypeScript for application layers; Snowflake, BigQuery, dbt for data and analytics; AWS, Azure, GCP for cloud infrastructure; Salesforce Marketing Cloud, HubSpot, Contentful for commerce and marketing operations.
Key projects include automating FP&A reporting, implementing AI governance, reducing inventory by 30%, consolidating UK and Netherlands supply chains, building partner segmentation models, and creating AI-powered product experiences.
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Moonpig'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.