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Business productivity ⇄ Human resources

Atlassian to Greenhouse integration — real-time, two-way sync

Keep Atlassian and Greenhouse in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Atlassian and Greenhouse

Keep the people, teams, and status that Atlassian and Greenhouse share aligned in real time, so a hire, role change, or departure recorded in one reaches the other within seconds.

Each tool in Atlassian keeps its own list of who can use it: users, members, or agents, along with the team they sit on and whether they are still active. Greenhouse is the authoritative record of the same people as employees, with their department, manager, and employment status. When those two are connected only by manual account admin or a periodic export, the work tools drift: new hires wait days for access, team and manager changes never catch up, and people who have left keep standing accounts.

Stacksync syncs Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages in Atlassian with Candidates, Applications, Jobs, Offers in Greenhouse bi-directionally and in real time. A person added, moved, or offboarded in Greenhouse creates or updates the matching user in Atlassian within seconds, with field-level mapping and conflict resolution in place of spreadsheets and one-off account changes. Where Atlassian captures details of its own, such as a corrected contact or a login identity, those can flow back to Greenhouse in whichever direction you configure.

Because the sync is field-level, each system keeps its own extras; only the shared facts, who a person is, which team they belong to, and whether their access should be on, are held in agreement.

Common use cases

  • 01 Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
  • 02 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
  • 03 Write enriched or sourced Candidates from external tools into Greenhouse and keep contact fields refreshed as data changes.
  • 04 Stream Jobs, Departments, and Offices into a reporting database for recruiting funnel and time-to-fill dashboards.

Common sync patterns

Org and team structure kept current

Department, team, and reporting-line changes from Greenhouse keep the groups, queues, or projects in Atlassian assigned to the right people.

Where Atlassian routes or assigns work by person: assignments follow the org

When someone changes teams or managers in Greenhouse, the queues, ownership, or approvals in Atlassian update to match, so work reaches whoever holds the role now.

Onboarding: access ready on day one

A new hire recorded in Greenhouse creates the matching user in Atlassian with the right team and manager already set, so people can start working without waiting on a provisioning ticket.

What you can sync between Atlassian and Greenhouse

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.

Atlassian objects Greenhouse objects How this pairing syncs
Attachments Files on issues mirrored to paired records where needed. Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. Attachments is specific to Atlassian and Departments and Offices to Greenhouse — each maps to any object or custom field on the other side.
Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. Custom Fields is specific to Atlassian and Candidates to Greenhouse — each maps to any object or custom field on the other side.
Workflows and Statuses Status transitions mapped to stages in the paired system. Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. Workflows and Statuses is specific to Atlassian and Applications to Greenhouse — each maps to any object or custom field on the other side.
Users and Groups Assignees and reporters matched to identities in other tools. Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. Users and Groups is specific to Atlassian and Jobs to Greenhouse — each maps to any object or custom field on the other side.
Confluence Pages Documentation content readable and writable through the Confluence REST API. Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. Confluence Pages is specific to Atlassian and Offers to Greenhouse — each maps to any object or custom field on the other side.
Confluence Spaces Namespaces that scope page syncs and permissions. Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. Confluence Spaces is specific to Atlassian and Scorecards to Greenhouse — each maps to any object or custom field on the other side.

How changes propagate between Atlassian and Greenhouse

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.

Atlassian Greenhouse Sub-second propagation

DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.

DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.

Greenhouse Atlassian 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 Atlassian 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.
What ships with Atlassian ⇄ Greenhouse

Connect Atlassian and Greenhouse for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Greenhouse connection.

Real-time

Two-way sync

Changes in Atlassian or Greenhouse instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Greenhouse 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 Atlassian or Greenhouse record.

Observability

Monitoring

Track your Atlassian ⇄ Greenhouse sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Atlassian and Greenhouse.

How the Atlassian and Greenhouse connectors work

Atlassian

Integration surface
REST APIs per product (Jira Cloud and Confluence Cloud)
Authentication
OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
Change detection
Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
Capabilities
read · write · webhooks

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.
Greenhouse setup guide
How it works

How to connect Atlassian to Greenhouse — 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.

  1. 01

    Connect your apps

    Authenticate Atlassian and Greenhouse with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Atlassian connected
    Greenhouse connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Atlassian and Greenhouse 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Atlassian ⇄ Greenhouse
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Atlassian Greenhouse
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Atlassian and Greenhouse integration FAQ

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.

Learn more about security
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ISO 27001
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 444 integrations available for Atlassian and Greenhouse.

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