Job description

Context

Collective.work is building the next-generation AI-powered sourcing platform for recruiters. Our mission is to help talent teams identify, engage, and hire the best candidates faster through intelligent automation and data-driven insights. We operate at the intersection of data, AI, and recruiting workflows—where high-quality data infrastructure is critical to our success.

Missions

• Design and maintain scalable data pipelines (batch and real-time)


• Build and optimize ETL/ELT workflows across Azure and/or GCP


• Develop data models and architectures to support analytics and ML use cases


• Ensure data quality, integrity, and reliability across systems


• Collaborate with ML engineers to prepare and serve training datasets


• Monitor and improve pipeline performance, cost efficiency, and scalability


• ...