Two-way sync
Changes in Attio or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
Keep Attio 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.
Attio runs on people as much as on accounts: every contact, deal, and account has an owner, and those owners are employees whose roles, teams, and status are held in Greenhouse. Greenhouse is the system of record for the workforce, from new hires to promotions to departures, and often for the candidates the business is still deciding on. When the two systems are connected only by re-keying or an overnight export, they drift apart, and the CRM ends up assigning accounts to people who have left, holding territories that no longer match the org chart, and waiting days to give a new rep access.
Stacksync syncs People, Companies, Users, Deals in Attio with Applications, Jobs, Offers, Scorecards in Greenhouse field by field, in real time, and in both directions. You decide which system owns which fields, so Greenhouse stays authoritative on roles and org structure while Attio keeps ownership and territory current, and Stacksync resolves conflicts by the rules you set.
When Greenhouse records a new hire, a matching user or owner is created in Attio, so a new rep can start working accounts without waiting on a manual setup ticket.
When a person changes team, manager, or region in Greenhouse, their accounts and territory assignments in Attio update to match, so pipeline stays with the right owner.
When Greenhouse marks a worker as departed, the matching user in Attio is flagged or deactivated, so former employees do not keep CRM access after their last day.
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.
| Attio objects | Greenhouse objects | How this pairing syncs | |
|---|---|---|---|
| Users Synced with incremental and full sync per the Stacksync docs. | Users Greenhouse users (recruiters, hiring managers); read and written, and referenced by the On-Behalf-Of header on every write. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Companies Standard company object; matched to billing and product accounts in two-way syncs. | Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. | Companies is specific to Attio and Departments and Offices to Greenhouse — each maps to any object or custom field on the other side. | |
| Deals Pipeline records; read out for revenue reporting and written to from automation. | Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. | Deals is specific to Attio and Candidates to Greenhouse — each maps to any object or custom field on the other side. | |
| Workspaces Synced with incremental and full sync per the Stacksync docs. | Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. | Workspaces is specific to Attio and Applications to Greenhouse — each maps to any object or custom field on the other side. | |
| Custom objects Workspace-defined objects that behave like standard ones in the API. | Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. | Custom objects is specific to Attio and Jobs to Greenhouse — each maps to any object or custom field on the other side. | |
| People Standard person object; synced with marketing tools and warehouse person tables. | Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. | People is specific to Attio and Offers to Greenhouse — each maps to any object or custom field on the other side. |
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.
DetectionAttio notifies Stacksync of record changes through webhook events. Webhooks on record and list-entry events, with polling as a fallback.
DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.
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 Attio through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–Greenhouse connection.
Changes in Attio or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Attio or Greenhouse data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Attio or Greenhouse record.
Track your Attio ⇄ Greenhouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Attio and Greenhouse.
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.
Authenticate Attio 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.
Pick the Attio 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Attio and Greenhouse: authenticate both systems, choose the objects to sync (such as Attio's Users and Companies), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Attio and Greenhouse: New team members provisioned when they are hired; Ownership and territory follow the org chart; Deactivate access when someone leaves. When Greenhouse records a new hire, a matching user or owner is created in Attio, so a new rep can start working accounts without waiting on a manual setup ticket.
Attio: REST API. Authentication: Guided in-app connection ("Attio CRM" connection created in a few clicks, "without any coding required"); the docs do not name the underlying auth mechanism (OAuth vs API key). Greenhouse: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Attio: Object coverage limited to the six listed entries (People, Companies, Users, Deals, Workspaces, custom objects); anything else requires emailing Stacksync. Greenhouse: Pagination is Link-header (RFC-5988) based with per_page between 1 and 500 (default 100). Stacksync's field mapping accounts for these differences between Attio and Greenhouse without custom code.
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 Attio and Greenhouse records are not retained after a sync operation.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 530 integrations available for Attio and Greenhouse.