Planted integration with Greenhouse: Streamline curated candidate sourcing and ATS workflows
Titus Juenemann •
February 11, 2025
TL;DR
The Planted integration for Greenhouse streamlines sourcing by automatically importing Planted's curated candidates and match metadata into Greenhouse, synchronizing statuses and enabling centralized pipeline management. Targeted at growth-stage companies, centralized recruiting teams, and hiring managers who prioritize speed and quality, the integration reduces manual uploads, speeds time-to-first-interview, and raises the qualified candidate rate. Implement with scoped API credentials, validated field mappings, and a pilot program; monitor KPIs like time-to-first-interview and qualified candidate rate to measure impact. In conclusion, combining Planted’s curated talent with Greenhouse’s ATS workflows delivers measurable efficiency gains—pairing that feed with AI resume tools like ZYTHR can further compress review time and improve shortlist accuracy.
The Planted-to-Greenhouse integration connects Planted's curated candidate marketplace and matching engine directly with Greenhouse's applicant tracking system so your recruiting workflows remain centralized and efficient. This article explains how the integration moves data, who gains the most value, and the measurable benefits you can expect when you combine a curated talent feed with an enterprise ATS. We cover technical flows (what fields and events sync), practical examples for common hiring scenarios, recommended setup and mapping best practices, and the KPIs hiring teams should track after enablement. Read on for implementation guidance and real-world metrics to help you decide if the integration fits your hiring operations.
Core capabilities the integration delivers
- Candidate import and profile sync Automatically push Planted candidates into Greenhouse as applications or prospects, including resume, contact details, work history, and Planted match-score metadata.
- Job posting and match feed Map Greenhouse jobs to Planted roles so the best-matched candidates from Planted are visible in the right Greenhouse job pipeline.
- Status and stage updates Keep candidate stages synchronized: when you advance a candidate in Greenhouse (e.g., interview scheduled), Planted receives status updates and can pause outreach or update candidate availability.
- Interview scheduling and feedback Transfer interview events and feedback between systems to preserve evaluation context and maintain one source of truth for hiring decisions.
- Custom field mapping Map key attributes such as match score, relocation preference, availability, and assessment flags into custom Greenhouse fields for filtering and reporting.
Who benefits most from this integration
- Growth-stage companies scaling core teams Companies hiring multiple roles in sales, customer success, marketing, product, and operations that need faster, higher-quality slates of candidates.
- Talent teams that centralize hiring in Greenhouse Recruiting teams that rely on Greenhouse for pipeline management but want Planted’s curated sourcing without manual uploads.
- Hiring managers focused on speed-to-hire Teams that measure time-to-fill and need a reliable source of pre-qualified candidates to reduce open requisition cycles.
- Companies using mixed hiring models Organizations that run direct hire, trial-to-perm, contract-to-hire, or seasonal staffing and want consistent data flow across sourcing and ATS operations.
AI resume screener for Greenhouse
ZYTHR scores every applicant automatically and surfaces the strongest candidates based on your criteria.
- Automatically screens every inbound applicant.
- See clear scores and reasons for each candidate.
- Supports recruiter judgment instead of replacing it.
- Creates a shortlist so teams spend time where it matters.
| Name | Score | Stage |
|---|---|---|
| Oliver Elderberry |
9
|
Recruiter Screen |
| Isabella Honeydew |
8
|
Recruiter Screen |
| Cher Cherry |
7
|
Recruiter Screen |
| Sophia Date |
4
|
Not a fit |
| Emma Banana |
3
|
Not a fit |
| Liam Plum |
2
|
Not a fit |
Typical technical setup involves API keys or OAuth between Planted and Greenhouse, a one-time field mapping session, and optional webhook configuration for real-time status updates. The integration can usually be enabled within a few days with support from Planted’s Customer Success team and your Greenhouse administrator. Key configuration decisions include whether Planted candidates arrive as new applications or as prospects; which custom fields will carry Planted metadata; and how automated outreach or job re-posting should behave based on candidate status changes in Greenhouse.
Common data flows and what they accomplish
| Data flow | Purpose |
|---|---|
| Planted -> Greenhouse: Candidate profile push | Creates a Greenhouse application or prospect record with resume, contact, and match metadata so recruiters can evaluate inside the ATS. |
| Greenhouse -> Planted: Stage/status update | Halts outreach or updates candidate availability in Planted when a candidate moves to interview or offer stages in Greenhouse. |
| Planted -> Greenhouse: Job match assignment | Links Planted matches to the correct Greenhouse job posting to ensure candidates populate the right pipeline. |
| Greenhouse -> Planted: Rejection/offer feedback | Returns disposition outcomes to Planted to help tune the matching engine and prevent duplicate submissions. |
Real-world use case: A fast-growing SaaS company running five open roles simultaneously uses Planted to deliver a daily slate of pre-screened candidates into Greenhouse. Recruiters save time by reviewing completed profiles in Greenhouse rather than sourcing cold. Within four weeks the company reduced time-to-first-interview by 40% and increased interview-to-offer conversions by ensuring candidates met baseline role criteria before entering the pipeline. Another example: A retail operations team hires seasonal contractors using Planted’s trial-to-perm option. Integration ensures candidates are available in Greenhouse for scheduling and payroll handoff without manual CSV imports.
Measurable KPIs to track after enabling integration
- Time-to-first-interview Compare average days from job posting to first interview before and after integration to quantify speed improvements.
- Qualified candidate rate Measure the percentage of sourced candidates who meet minimum screen criteria; Planted’s curated pool should increase this metric.
- Interview-to-offer ratio Track whether better-matched candidates translate into higher offer rates and fewer wasted interviews.
- Manual upload and admin hours saved Estimate recruiter hours saved by eliminating CSV imports and manual data entry.
Frequently asked integration questions
Q: How long does integration take to set up?
A: With standard mapping and both teams available, initial setup and testing can be completed in 2–5 business days. More complex custom field mappings or security reviews can extend that timeline.
Q: Can I map custom Greenhouse fields to Planted attributes?
A: Yes. Custom field mapping is supported so you can surface Planted match scores, availability windows, and other metadata directly in Greenhouse for filtering and reporting.
Q: Will the integration duplicate candidate records?
A: No, when configured correctly the integration uses unique identifiers (email or external ID) to prevent duplicates. A short validation step during setup will identify any duplicate risks.
Security and compliance are central to production integrations: typical protections include scoped API keys, role-based permissions, TLS transport, and agreed-upon data retention policies. For regulated industries you should document data flows and retention periods and confirm both Planted and Greenhouse meet any required third-party vendor controls. Additionally, decide on a disposition lifecycle: how long candidate records originating from Planted remain in Greenhouse and whether Planted-sourced records should be archived or deleted after a set period.
Estimated impact on hiring productivity (typical ranges)
| Metric | Typical improvement after integration |
|---|---|
| Time-to-first-interview | 20–50% reduction |
| Qualified candidate rate | 15–35% increase |
| Recruiter admin hours | 30–70% reduction in manual upload time |
| Interview-to-offer conversion | 5–20% improvement |
Best practices for a smooth deployment
- Run a pilot on 1–2 jobs first Validate mappings, candidate flow, and reporting on a small scale before rolling out to all requisitions.
- Standardize custom fields Agree on field names and values (e.g., match_score) so reporting and automations work predictably.
- Train recruiters on new workflows Document where Planted metadata appears in Greenhouse and how it should influence screening decisions.
- Monitor KPIs weekly during initial weeks Track time-to-first-interview and qualified candidate rate to catch configuration issues early.
Common troubleshooting tips: if candidates aren’t appearing, confirm API credentials and job mapping are correct and that Planted match feeds are enabled for the target job. If status updates aren’t reflected, verify webhooks are active and that Greenhouse is accepting inbound status change payloads. For field discrepancies, check data type alignment (e.g., numeric vs string) between Planted attributes and Greenhouse custom fields. If you run into persistent issues, engage Planted’s Customer Success team with logs showing API responses and timestamps — that accelerates root-cause analysis and resolution.
Integration maintenance and scaling questions
Q: What maintenance is required?
A: Periodic review of API keys, field mappings, and webhook endpoints is recommended. Update mappings when you add new requisition types or change hiring processes.
Q: Can the integration scale with hiring volume?
A: Yes. The integration is designed to handle higher throughput; if you plan a significant hiring burst, coordinate with Planted to ensure rate limits and SLAs meet your timeline.
Q: How do I measure ROI?
A: Compare sourcing and recruiter time metrics before and after deployment, include placement velocity improvements and any reduction in external agency spend attributable to Planted sourcing.
Speed up resume review with ZYTHR
Pair Planted’s candidate feed in Greenhouse with ZYTHR’s AI resume screening to cut review time and improve shortlist accuracy — ZYTHR automates resume parsing, ranks candidates against job criteria, and highlights high-potential profiles so your recruiters focus only on the best matches.