Two-way sync
Changes in Gong or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
Keep Gong 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.
Gong 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 Users, Interaction Stats (Activity), Trackers & Scorecards, CRM Objects in Gong with Users, Departments and Offices, Candidates, Applications 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 Gong 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 Gong, 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 Gong update to match, so pipeline stays with the right owner.
When Greenhouse marks a worker as departed, the matching user in Gong 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.
| Gong objects | Greenhouse objects | How this pairing syncs | |
|---|---|---|---|
| Users Gong users and team members with roles, titles, email, and settings, read via GET /v2/users to map call owners and participants to CRM and warehouse identities. Read-only. | 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. | |
| Calls Retrieved via POST /v2/calls/extensive with participants, topics, trackers, scorecards, and media URLs, filtered by fromDateTime/toDateTime; external recordings are also imported via POST /v2/calls with media uploaded via PUT /v2/calls/{id}/media. Read and write. | Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. | Calls is specific to Gong and Offers to Greenhouse — each maps to any object or custom field on the other side. | |
| Transcripts Speaker-attributed, timestamped sentences retrieved via POST /v2/calls/transcript for one or more callIds; available only after asynchronous processing completes. Read-only. | Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. | Transcripts is specific to Gong and Scorecards to Greenhouse — each maps to any object or custom field on the other side. | |
| Interaction Stats (Activity) Aggregated talk/listen ratios, interaction stats, and day-by-day user activity retrieved via POST /v2/stats endpoints; read out for coaching and engagement reporting. Read-only. | Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. | Interaction Stats (Activity) is specific to Gong and Scheduled Interviews to Greenhouse — each maps to any object or custom field on the other side. | |
| Trackers & Scorecards Keyword and topic tracker definitions plus coaching scorecards, including answered scorecards, read from Settings as coaching and deal-risk signals. Read-only. | Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. | Trackers & Scorecards is specific to Gong and Departments and Offices to Greenhouse — each maps to any object or custom field on the other side. | |
| CRM Objects Accounts, opportunities, stages, and users uploaded into Gong through the CRM integration API so CRM context appears alongside conversations. Write (upload) path. | Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. | CRM Objects is specific to Gong and Candidates 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.
DetectionStacksync polls Gong for changes on an incremental schedule, reading only records changed since the previous pass. Polling POST /v2/calls/extensive on fromDateTime/toDateTime.
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 Gong through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gong–Greenhouse connection.
Changes in Gong or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gong 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 Gong or Greenhouse record.
Track your Gong ⇄ Greenhouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gong 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 Gong 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 Gong 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 Gong and Greenhouse: authenticate both systems, choose the objects to sync (such as Gong's Users and Calls), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Gong and Greenhouse. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Gong: Polling POST /v2/calls/extensive on fromDateTime/toDateTime; the public API exposes no outbound webhooks or CDC, though a Gong admin can configure a product-side automation Rule that POSTs matching calls to a URL. Transcripts and analysis appear only after asynchronous processing. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Gong side: Users, Interaction Stats (Activity), Trackers & Scorecards, CRM Objects, plus custom fields where Gong exposes them. On the Greenhouse side: Users, Departments and Offices, Candidates, Applications. Stacksync auto-detects both schemas and converts types between the two systems.
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 Gong 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 Gong, so a new rep can start working accounts without waiting on a manual setup ticket.
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.
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Every pair below is a real-time, two-way sync. Search all 529 integrations available for Gong and Greenhouse.