Two-way sync
Changes in Chorusai or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
Keep Chorusai 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.
Chorusai 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 Scorecards, Moments, Playlists, Engagements in Chorusai with Scorecards, Scheduled Interviews, Users, Departments and Offices 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 Chorusai keeps ownership and territory current, and Stacksync resolves conflicts by the rules you set.
When a person changes team, manager, or region in Greenhouse, their accounts and territory assignments in Chorusai update to match, so pipeline stays with the right owner.
When Greenhouse marks a worker as departed, the matching user in Chorusai is flagged or deactivated, so former employees do not keep CRM access after their last day.
A person's name, title, email, phone, or manager corrected in either system updates the other, so both stop maintaining separate copies of the same individual.
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.
| Chorusai objects | Greenhouse objects | How this pairing syncs | |
|---|---|---|---|
| Users Chorus users with roles and team membership; read to map engagement owners and participants to CRM and warehouse identities. | 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. | |
| Scorecards Call QA and coaching assessments with reviewer, recipient, and scores; read and exported for rep-performance reporting. | Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Recordings (Conversations) The recorded call with utterances, transcript, thumbnails, and metrics; read for analysis and uploaded or deleted through the API. | Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. | Recordings (Conversations) is specific to Chorusai and Candidates to Greenhouse — each maps to any object or custom field on the other side. | |
| Trackers AI keyword and topic trackers (pricing, competitors, next steps) surfaced within a conversation; read out as coaching and deal-risk signals. | Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. | Trackers is specific to Chorusai and Applications to Greenhouse — each maps to any object or custom field on the other side. | |
| Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. | Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. | Deals is specific to Chorusai and Jobs to Greenhouse — each maps to any object or custom field on the other side. | |
| Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. | Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. | Moments is specific to Chorusai 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.
DetectionStacksync polls Chorusai for changes on an incremental schedule, reading only records changed since the previous pass. Polling the engagements endpoint on date_time and processing_state.
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 Chorusai through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–Greenhouse connection.
Changes in Chorusai or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Chorusai 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 Chorusai or Greenhouse record.
Track your Chorusai ⇄ Greenhouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Chorusai 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 Chorusai 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 Chorusai 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 Chorusai and Greenhouse: authenticate both systems, choose the objects to sync (such as Chorusai's Users and Scorecards), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Chorusai and Greenhouse connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Chorusai–Greenhouse integration in-house.
Yes — Stacksync ships production-grade connectors for both Chorusai and Greenhouse. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Chorusai: Polling the engagements endpoint on date_time and processing_state; no public change webhooks or CDC. 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 Chorusai side: Scorecards, Moments, Playlists, Engagements, plus custom fields where Chorusai exposes them. On the Greenhouse side: Scorecards, Scheduled Interviews, Users, Departments and Offices. 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.
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 527 integrations available for Chorusai and Greenhouse.