Greenhouse (Beta) + OpenAI Integration

You review hiring funnel metrics to make strategic decisions, but your pipeline reports only update when someone manually exports candidate data, so the applicant counts you're optimising against are always a few hours behind — with this integration, every new application is analyzed instantly and your recruiting metrics stay current.

You need to act fast when top talent applies, and you find out about qualified candidates too late because reviewing resumes by hand slows down your outreach — this integration means every submission triggers immediate AI screening so you can engage top applicants first.

You answer to department leaders who want to see candidate progress and interview schedules in real time, but manual updates leave stakeholders waiting on status reports — automating both apps means interview briefs and stage updates sync automatically.

The volume of inbound candidate applications is too high for anyone to keep up with by hand, causing screening delays and missed talent — connecting these apps means automated AI workflows handle the initial review at scale.

You own the interview scheduling step and depend on recruiters to hand over candidate details before booking calls, leading to repeated scheduling friction — this integration means candidate data flows straight into your calendar tools without manual copy-pasting.

You need a reliable history of candidate evaluations and profile updates, but manual note-taking keeps finding gaps in your audit logs — with this integration, every evaluation and change is logged automatically and accurately.