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JobGet

Verified Job Source

The go-to marketplace for the Everyday Worker. We help employers meet job seekers where they are.

Boston, Massachusetts

Technology, Information and Internet
51–200 people

About

JobGet is the Social Job Network for the Everyday Worker. We’re the fastest-growing app for job seekers in the service industries, supporting restaurants, food service, retail, customer support, hospitality, healthcare, warehouse, trucking, and more! We use skill-based matching to expand your candidate pool by 8x, connecting you with high-intent, qualified candidates you won’t find on traditional job sites. JobGet grows out of a basic desire to help people who want to work easily find work. Finding the right job quickly, local to where you live, is hard. JobGet simplifies the job-seeking process, enabling better connections for job seekers and employers. When an employer posts a job, the chances of reaching the right candidate are small. JobGet learns about its job seekers, enabling better connections faster, to connect every worker to an opportunity that is right for them.

Open positions

Principal Data Engineer - Canada

Remote · Vancouver, British Columbia, Canada

You will lead the technical direction for data architecture, scaling high-throughput pipelines and real-time matching systems. You will also partner with engineering and product teams to enable machine learning at scale while establishing robust data governance and quality standards.

Associate Implementation Specialist

Remote · Toronto, Ontario, Canada

The Associate Implementation Specialist will onboard and train clients, ensuring they effectively use the platform to achieve hiring results. They will also build strong relationships with partners, gather product feedback, and contribute to the scaling of customer success processes.

Principal Data Engineer

Remote · Vancouver, British Columbia, Canada

You will lead the technical direction and architecture of the data platform to ensure scalable, reliable data flows that power AI-driven product experiences. This involves building production-grade pipelines, establishing data modeling standards, and enabling machine learning at scale across the organization.