Primer runs a payments orchestration platform giving merchants one control layer across providers, built on a multi-cloud base (AWS, GCP, Azure) with CockroachDB, Kubernetes and Terraform. A heavy ML toolkit (PyTorch, TensorFlow, XGBoost) and an effort to build ML infrastructure from scratch point to smart routing and volume forecasting as the core bet. Hiring is accelerating, senior-weighted, and split between engineering and sales.
Primer is a London-headquartered payments infrastructure company founded in 2020, with 51–200 employees. It offers a single platform for finance and payments teams to manage payment flows, checkout and automation across multiple providers. Customers are merchants who integrate Primer into their payment stack, supported by developer-facing components and integration tooling. The company is privately held and recruits across Europe, the United States, Singapore, South Africa and Australia.
Primer uses Python, TypeScript and React, runs on AWS, GCP and Azure with Kubernetes, Helm and Terraform, stores data in CockroachDB, DynamoDB and Snowflake, and builds ML with PyTorch, TensorFlow and XGBoost.
Current projects include smart routing decisions across payment flows, payment volume forecasting infrastructure, the Primer AI Companion, merchant integration tooling and design-system foundations.
Primer, headquartered in London, hires in Hungary, Romania, Portugal, France, Ireland, Cyprus, the United States, Singapore, South Africa and Australia, with engineering and sales leading the mix.
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Primer'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.
