Built In and Greenhouse Integration: Automate Job Posting and Easy Apply

Built In’s integration with Greenhouse automates job distribution and candidate flow between the Built In job board and your Greenhouse applicant tracking system. It supports daily job posting synchronization and Built In’s Easy Apply experience so candidates can apply directly through Built In while data flows reliably into Greenhouse. This article explains how the integration works, which teams and company sizes benefit most, key operational gains, implementation steps, common pitfalls and measurable outcomes you can expect when you connect Built In with Greenhouse.

What the Built In–Greenhouse integration does

• Automatic job posting Daily synchronization posts and updates open roles from Greenhouse to Built In, eliminating manual reposting and reducing the risk of inconsistent job descriptions or stale listings.
• Built In Easy Apply Candidates can apply directly on Built In; the integration captures applicant data and routes it into Greenhouse so applications land with consistent metadata and source tracking.
• Consistent employer branding Company profile content, images and messaging on Built In are linked to your Greenhouse job listings to present a unified candidate experience across both platforms.
• Source attribution Applicants from Built In are tagged in Greenhouse, allowing straightforward reporting on applicant volume, quality and conversion rates tied to Built In traffic.

Technical operation is typically API-based: Built In queries Greenhouse for published job IDs and metadata, pushes listing content to the Built In job board, and routes Easy Apply submissions back into Greenhouse via secure endpoints. The sync cadence is usually daily but can be configured according to the vendor support and account settings. On the Greenhouse side, the integration requires a job board connector or API key with job-posting permissions, and on Built In you’ll map company profile and posting fields. Error logs and monitoring dashboards help identify mapping mismatches or rejected posts.

Workflow comparison: Without integration vs With integration

Who benefits from this integration

• Recruiting operations teams They reduce administrative overhead, keep job posts synchronized and ensure consistent reporting across sourcing channels.
• Sourcing and talent acquisition Sourcers get faster intake of Built In applicants into Greenhouse for screening and outreach, with accurate source data to optimize channels.
• Employer brand and recruitment marketing Brand owners control profile messaging and job content centrally, ensuring a coherent presence that attracts tech talent.
• Hiring managers Fewer posting errors and more qualified applicants routed into the ATS speeds up shortlisting and interview scheduling.

Key metrics to track after enabling the integration include applicants per posting from Built In, conversion rate from application to interview, time-to-screen and time-to-fill for roles sourced via Built In, and qualitative measures like candidate quality or interview-to-offer ratio. Collect baseline data for at least one hiring cycle before integration and compare three months after activation to measure lift in applicant volume and hiring velocity attributable to the integration.

Implementation checklist

• Confirm account and permissions Ensure you have an administrator-level Greenhouse user and that Built In has the required permissions or API access to post jobs.
• Map job fields Match job title, department, location, salary (if used), and custom fields so posts appear correctly on Built In and data lands cleanly in Greenhouse.
• Enable Easy Apply Configure the Easy Apply flow to collect required candidate fields and consent, and verify those map into Greenhouse application fields.
• Test posts and applications Run sandbox or staging tests to validate that postings publish successfully and that applications are created with the correct tags and attachments.
• Set monitoring and alerts Use logs or email alerts for rejected posts, API failures and mismatches so you can remediate quickly.

Common pitfalls and how to fix them

Security and privacy considerations: the integration transfers candidate personal data between Built In and Greenhouse, so ensure both platforms' privacy settings comply with your jurisdictional requirements and company policies. Confirm data retention, access controls and consent capture are aligned and that API keys are rotated and stored securely. Also check each vendor’s published privacy policy and support resources (Built In privacy policy, Greenhouse support) for specifics on data handling and opt-out mechanisms for candidates.

Frequently asked questions

Best practices to maximize ROI from the integration

• Keep job descriptions concise and standardized Standard templates with clear responsibilities and qualifications improve matching and reduce drop-off on mobile Easy Apply flows.
• Optimize employer profile Use images, team stories and technical content to attract targeted tech talent who visit Built In for company research.
• Use screening questions sparingly A small number of well-chosen prescreen questions reduces unqualified applicants while preserving conversion rates.
• Monitor and iterate Review Built In source performance weekly initially, then monthly, and adjust targeting or job content based on conversion and interview rates.

Practical scenario: a mid-size engineering company using Greenhouse had to manually repost 75% of roles to Built In, creating a two-day lag and inconsistent role titles. After enabling the integration, posting time dropped to near-zero for new roles, Built In source-tagged applicants increased by 40%, and time-to-screen for Built In candidates was reduced from four days to one—allowing faster shortlisting and scheduling. Those operational improvements translated to a measurable reduction in time-to-fill for critical engineering roles and lower recruiter administrative hours per posting, freeing the recruiting team to focus on higher-value sourcing and interviewing tasks.

Estimated costs and internal resource needs