XING operates a job board and recruiting platform serving the German-speaking region with 21 million job seekers and ~1 million active postings. The tech stack (Salesforce, Snowflake, dbt, Tableau, Python, GraphQL) reflects a data-driven matching engine, while the project list reveals active work on AI job agents, ATS integrations, and data pipeline scaling—indicating a shift toward programmatic recruitment and candidate intelligence. Sales hiring velocity is accelerating, concentrated in roles that support ATS product expansion and new customer acquisition.
XING is a public German job marketplace connecting job seekers, recruiters, and HR teams across German-speaking markets. The platform serves three user segments: job seekers (personalized job recommendations via AI and salary data), recruiters (20,000+ active users leveraging AI-powered candidate sourcing and outreach), and HR departments (job posting, applicant tracking, and workflow management). The product stack spans passive sourcing (job board), active sourcing (direct candidate outreach), and applicant management systems. Current operational focus spans system modernization of core HR tooling, building AI job agent capabilities, and integrating with external applicant tracking systems to expand TAM.
XING's core stack includes Salesforce (CRM/sales operations), Snowflake (data warehouse), dbt (transformation), Tableau and Power BI (analytics), Python, Kotlin, Java, GraphQL, and Azure cloud infrastructure.
Active projects include AI job agent implementation, applicant tracking system integrations, establishing applicant quality metrics, sales dashboards, scalable data pipeline development, and system transformation of personnel management tooling.
XING'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.