AI-powered recruitment sourcing platform for talent teams
Collective.work operates an AI sourcing agent embedded into recruiting workflows, used by 15K+ recruiters to automate candidate search, job creation, and application scoring. The tech stack reveals heavy infrastructure and data engineering (Kafka, PostgreSQL, dbt, AWS) layered with modern ML tooling (LoRA, RAG, GitHub Copilot adoption), while active projects center on data pipeline and platform work—suggesting the company is scaling backend reliability and analytics capability to support a growing user base.
Notable leadership hires: Tech Lead JavaScript, Digital Technical Lead, Accounting Director, Agency Director, Chief Product Officer
Collective.work is an AI sourcing agent designed for recruitment teams. The product integrates with applicant tracking systems (ATS) to search candidate pools across public and deep-web sources, auto-generate job descriptions, rank and score inbound applications, and identify candidate lookalikes. Founded in 2021 and headquartered in Paris, the company operates a distributed hiring footprint across France, Germany, UK, Morocco, Pakistan, and multiple EU countries. The organization is early-stage and engineering-heavy, with active development across data infrastructure, compliance, and incident management.
Core infrastructure: AWS, PostgreSQL, Docker, Terraform, GitLab CI/CD. Data layer: dbt, Grafana. Backend: Python, Java, Spring Boot. Adopting: LoRA, RAG, GitHub Copilot, Kotlin.
Primarily France, Germany, UK, Morocco, and Pakistan. Also hiring in Luxembourg, Switzerland, Austria, Belgium, UAE, and Italy. 322 active engineering roles posted across all levels.
Data pipeline development, data platform implementation, CI/CD workflows, SQL optimization, new dashboards, and compliance projects. Active work on scaling data infrastructure and incident management.
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