Case Study: Jobtome achieves faster AI and machine learning adoption with Google Cloud

Taking the job search to the next level with machine learning and AI

Jobtome, a job search platform, needed a faster way to ingest, analyze, and categorize millions of jobs every day while adding machine learning and AI capabilities without major disruption or heavy investment. Using Looker-related cloud analytics and AI tooling in the broader Google Cloud stack, the company looked for a solution that could scale with its data and simplify implementation.

The solution implemented by Looker and Google Cloud integrated BigQuery, Dataflow, and Vertex AI, letting Jobtome apply models to rich datasets without managing the full AI lifecycle itself. The result was a much quicker, simpler adoption of ML and AI, with Dataflow improving scalability and Vertex AI reducing operational overhead. Jobtome said this approach saved significant time and money, and made development faster and easier by increasing trust in the platform.

Jobtome

Paolo Santori

Chief Information and Data Officer