Real-time
Two-way sync
Changes in Greenhouse or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ ERP
Greenhouse to Infor M3 integration — real-time, two-way sync
Keep Greenhouse and Infor M3 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from Celigo
Why teams connect Greenhouse and Infor M3
Sync the workers, org structure, and cost centers that Infor M3 and Greenhouse share in real time, so the people Greenhouse manages stay current in the system that runs finance and operations.
Greenhouse is the system of record for people: who was hired, which department and location they sit in, who they report to, and how they are paid. Infor M3 runs finance and operations, and much of what it does depends on that same information, from booking labor cost to approving an expense report to staffing a project. Where the two are bridged by re-keying or an overnight file, each side spends the day out of step, with new hires missing from the systems they need and leavers still active where they should not be.
Stacksync syncs Items, Customers, Suppliers, Customer Orders in Infor M3 with Jobs, Offers, Scorecards, Scheduled Interviews in Greenhouse field by field, in real time, and in both directions. You decide which system owns which fields, so the people side stays authoritative for worker data while Infor M3 keeps its own accounting and operational detail, and every change made in one is reflected in the other within seconds instead of at the next batch run.
Common use cases
- 01 Consolidate M3 transactional data into an analytics database for cross-plant reporting
- 02 Sync M3 item master and inventory balances to commerce or CPQ systems so quotes price against live stock
- 03 Two-way sync Candidates and Applications with Postgres so recruiting-ops apps read and update stage, status, and custom fields in SQL while recruiters stay in Greenhouse.
- 04 Write enriched or sourced Candidates from external tools into Greenhouse and keep contact fields refreshed as data changes.
Common sync patterns
Reporting lines drive approvals
Manager and reporting-hierarchy changes in Greenhouse keep expense and purchase approval chains in Infor M3 pointed at the right people.
Where Greenhouse runs payroll: labor cost in the books
Pay and compensation data from Greenhouse posts into Infor M3 as labor cost, so finance sees workforce spend without re-entering it by hand.
Where Greenhouse is the worker system of record: one employee master
When a worker is hired, moved, or offboarded in Greenhouse, the matching employee record in Infor M3 is created, updated, or deactivated, so the business system reflects the workforce as it actually is.
What you can sync between Greenhouse and Infor M3
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Greenhouse objects | Infor M3 objects | How this pairing syncs | |
|---|---|---|---|
| Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. | Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | Jobs is specific to Greenhouse and Customer Orders to Infor M3 — each maps to any object or custom field on the other side. | |
| Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. | Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | Offers is specific to Greenhouse and Purchase Orders to Infor M3 — each maps to any object or custom field on the other side. | |
| Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. | Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | Scorecards is specific to Greenhouse and Manufacturing Orders to Infor M3 — each maps to any object or custom field on the other side. | |
| Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | Scheduled Interviews is specific to Greenhouse and Inventory Balances to Infor M3 — each maps to any object or custom field on the other side. | |
| Users Greenhouse users (recruiters, hiring managers); read and written, and referenced by the On-Behalf-Of header on every write. | Invoices Billing documents flow to finance and CRM tools for AR visibility. | Users is specific to Greenhouse and Invoices to Infor M3 — each maps to any object or custom field on the other side. | |
| Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. | Warehouses Warehouse and facility records scope inventory and order data during mapping. | Departments and Offices is specific to Greenhouse and Warehouses to Infor M3 — each maps to any object or custom field on the other side. |
How changes propagate between Greenhouse and Infor M3
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Greenhouse Infor M3 Sub-second propagation
DetectionGreenhouse notifies Stacksync of record changes through webhook events. HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after /.
DeliveryEach detected change is written to Infor M3 through its API, with automatic retries and rate-limit backoff.
Infor M3 Greenhouse Sub-second propagation
DetectionInfor M3 notifies Stacksync of record changes through webhook events. Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints.
DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Greenhouse: Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
- Infor M3: Subject to Infor ION API gateway throttling policies.
What ships with Greenhouse ⇄ Infor M3
Connect Greenhouse and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Greenhouse or Infor M3 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Greenhouse or Infor M3 record.
Observability
Monitoring
Track your Greenhouse ⇄ Infor M3 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Greenhouse and Infor M3.
How the Greenhouse and Infor M3 connectors work
Greenhouse
- Integration surface
- Harvest REST API (plus read-only Job Board API and the Ingestion API for bulk candidate import)
- Authentication
- HTTP Basic Auth with a Harvest API key (key as username, blank password, colon appended then Base64-encoded); write calls require an On-Behalf-Of header naming the Greenhouse user
- Change detection
- HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters
- Capabilities
- read · write · webhooks
- Rate limits
- Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
Infor M3
- Integration surface
- REST API (M3 API programs exposed through the Infor ION API gateway)
- Authentication
- OAuth 2.0 via Infor OS / ION API authorization
- Change detection
- Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to Infor ION API gateway throttling policies
How it works
How to connect Greenhouse to Infor M3 — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Greenhouse and Infor M3 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Greenhouse
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Greenhouse and Infor M3 objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Greenhouse ⇄ Infor M3Customers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Greenhouse Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Greenhouse and Infor M3 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Greenhouse and Infor M3: authenticate both systems, choose the objects to sync (such as Greenhouse's Jobs and Offers), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Infor M3: M3 business logic is exposed through M3 API programs (MI programs), which Infor publishes as REST endpoints through the ION API gateway rather than as a single flat resource model. Greenhouse: Change feeds rely on signed webhooks or updated_after / last_activity_after polling; there is no log-based change data capture. Stacksync's field mapping accounts for these differences between Greenhouse and Infor M3 without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Greenhouse and Infor M3 records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Greenhouse and Infor M3 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Greenhouse–Infor M3 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Greenhouse and Infor M3. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Greenhouse: HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters. On Infor M3: Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams trust Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
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