HR platform unifying core HR, talent management and payroll
Personio builds a cloud HR platform combining core HR, talent and payroll for mid-sized international companies, with native German payroll a key differentiator. Its stack pairs Java, Kotlin and TypeScript on Kubernetes and Kafka with a deep Salesforce lead-to-cash setup (Sales Cloud, CPQ, Apex). Hiring skews senior and splits between engineering and support, while projects on chaos testing, GitOps delivery and observability point to a push for platform reliability at scale.
Notable leadership hires: Product Analytics Head, Accounting Director, Business Development Lead
Personio is a Munich-based software company founded in 2015 that sells an HR platform covering core HR, recruiting, performance, compensation, feedback and payroll. It serves organisations across industries, with a focus on international companies of roughly 200 to 5,000 employees. The platform emphasizes automation, flexible workflows for multi-entity setups, and AI-driven people analytics, and it offers native payroll in Germany. The privately held company employs 1,001–5,000 people and hires across the United Kingdom, Germany, the Netherlands and Ireland.
Personio's engineering stack includes Java, Kotlin, TypeScript and Python on Docker and Kubernetes with Terraform, Kafka and Datadog, plus Snowflake, dbt, Looker and Tableau for data, and Salesforce Sales Cloud and CPQ for go-to-market.
Personio is hiring in the United Kingdom, Germany, the Netherlands and Ireland, with demand concentrated in engineering, customer support and sales, and a strong tilt toward senior-level roles.
Current projects include chaos testing for resilience, a GitOps continuous delivery pipeline, observability stacks and dashboards, Salesforce lead-to-cash customizations, AI-powered design-to-code workflows and payroll implementations.
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Personio'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.