MOO operates a vertically integrated print-and-merchandise business built on a modern cloud data stack (Snowflake, dbt, Dagster, Tableau) layered atop Next.js and Node.js services. Active projects around data-platform modernization, CI/CD refinement, and production-grade pipelines suggest the company is treating its 15-year-old print operations as a scalable software problem — moving beyond one-off orders toward fulfillment automation and recurring revenue streams. Manufacturing sits alongside engineering and sales in the hiring mix, reflecting a hybrid model where digital tooling powers physical operations.
Notable leadership hires: Manufacturing Team Lead
MOO is a London-based print and promotional-merchandise company founded in 2006 that sells customizable products (business cards, postcards, stationery, branded merchandise) to small businesses and design-conscious entrepreneurs. The company operates manufacturing facilities and fulfillment centers across the UK and US (London, Boston, Lincoln RI, Denver CO), with a workforce exceeding 400 employees. Beyond transactional print orders, recent projects indicate a strategic push into offline merchandise channels, vendor onboarding at scale, and sales playbook standardization — positioning the business for higher-margin, repeatable revenue beyond commodity printing.
MOO's backend runs on Node.js and Java (Spring Boot) with Next.js for front-end services. Data infrastructure relies on Snowflake + dbt + Dagster for pipelines, with Tableau and Looker for BI. Deployment uses Terraform across AWS, Azure, and GCP. Design tools include Adobe Creative Cloud (Photoshop, InDesign, Illustrator, Premiere Pro).
MOO actively hires in the United Kingdom, United States, and South Africa. Primary UK base is London; US operations span Boston, Lincoln RI, and Denver CO.
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MOO'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.