Workforce management software for scheduling and forecasting in frontline industries
Quinyx sells workforce management software covering scheduling, time tracking and AI forecasting for frontline businesses. Its AWS data stack (Redshift, EMR, Airflow, dbt) lines up with active projects in embedded reporting and a data-as-a-service platform, so analytics is becoming a product line. Hiring is accelerating and sales-led, with a Growth Director search and 6sense adoption pointing to a push on pipeline and DACH expansion.
Notable leadership hires: Growth Director
Quinyx is a Stockholm-based, privately held software company founded in 2005, with 201–500 employees. It offers a SaaS workforce management platform for frontline industries, covering employee scheduling, time and attendance, task management, business forecasting and employee engagement. The product is built on Java, Spring Boot and React and runs on AWS with Docker and Kubernetes. Go-to-market runs on Salesforce and HubSpot, and the company currently hires in the United Kingdom and Sweden.
Quinyx uses Java, Spring Boot, React and Python on AWS (Lambda, ECS, EMR, Redshift) with Docker and Kubernetes. Its data work runs on Airflow and dbt, and its GTM teams use Salesforce, HubSpot and, more recently, 6sense.
Yes. Sales is the largest area of current hiring, followed by product, plus a Growth Director role. Hiring is accelerating, with openings in the United Kingdom and Sweden.
Quinyx is building embedded reporting and self-serve analytics, a data-as-a-service platform, AI-powered product discovery and compliance features. It is also running demand generation campaigns across markets and expanding into DACH.
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Quinyx'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.