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Human resources ⇄ Business productivity

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

Keep Greenhouse and Servicemax 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 Greenhouse and Servicemax

Keep the people, teams, and status that Servicemax 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 Servicemax 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 Accounts, Contacts, Cases, Products in Servicemax with Offers, Scorecards, Scheduled Interviews, Users in Greenhouse bi-directionally and in real time. A person added, moved, or offboarded in Greenhouse creates or updates the matching user in Servicemax within seconds, with field-level mapping and conflict resolution in place of spreadsheets and one-off account changes. Where Servicemax 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 Mirror Accounts and Contacts between ServiceMax and the CRM system of record so customer and site data stays consistent.
  • 02 Sync Work Orders (SVMXC__Service_Order__c) and Work Details bi-directionally with Postgres so ops and analytics teams read and write field-service data in plain SQL.
  • 03 Export Scorecards and Scheduled Interviews to a data warehouse to analyze interviewer load and interview outcomes.
  • 04 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.

Common sync patterns

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

When someone changes teams or managers in Greenhouse, the queues, ownership, or approvals in Servicemax 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 Servicemax with the right team and manager already set, so people can start working without waiting on a provisioning ticket.

Offboarding: no standing access after a departure

When someone is marked as leaving in Greenhouse, the matching account in Servicemax is deactivated or flagged, so departures do not leave open access behind.

What you can sync between Greenhouse and Servicemax

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 Servicemax objects How this pairing syncs
Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. Installed Products SVMXC__Installed_Product__c; the installed-base asset record driving entitlement and service history; synced with asset and IoT databases. Candidates is specific to Greenhouse and Installed Products to Servicemax — each maps to any object or custom field on the other side.
Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. Service Contracts SVMXC__Service_Contract__c; coverage and entitlement agreements; synced to warehouses for renewal, SLA, and warranty reporting. Applications is specific to Greenhouse and Service Contracts to Servicemax — each maps to any object or custom field on the other side.
Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. Jobs is specific to Greenhouse and Stock History to Servicemax — 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. Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. Offers is specific to Greenhouse and Accounts to Servicemax — 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. Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. Scorecards is specific to Greenhouse and Contacts to Servicemax — 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. Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. Scheduled Interviews is specific to Greenhouse and Cases to Servicemax — each maps to any object or custom field on the other side.

How changes propagate between Greenhouse and Servicemax

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 Servicemax 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 Servicemax through its API, with automatic retries and rate-limit backoff.

Servicemax Greenhouse Sub-second propagation

DetectionChanges in Servicemax are captured at the source via change data capture — no polling loop against its API. Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object.

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.
  • Servicemax: Governed by the Salesforce org-wide daily API request allocation, shared across all integrations and scaled by edition and license count.
What ships with Greenhouse ⇄ Servicemax

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Greenhouse or Servicemax 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 Servicemax record.

Observability

Monitoring

Track your Greenhouse ⇄ Servicemax 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 Servicemax.

How the Greenhouse and Servicemax 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.
Greenhouse setup guide

Servicemax

Integration surface
Salesforce REST, SOAP, and Bulk APIs (ServiceMax is a managed package on the Salesforce platform)
Authentication
Salesforce OAuth login via a user with API access; the connecting profile needs object and field permissions on ServiceMax's SVMXC__ objects
Change detection
Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object where enabled
Capabilities
read · write · CDC
Rate limits
Governed by the Salesforce org-wide daily API request allocation, shared across all integrations and scaled by edition and license count
How it works

How to connect Greenhouse to Servicemax — 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 Greenhouse and Servicemax 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
    Greenhouse connected
    Servicemax connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Greenhouse and Servicemax 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 · Greenhouse ⇄ Servicemax
    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
    Greenhouse Servicemax
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Greenhouse and Servicemax 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.

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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 511 integrations available for Greenhouse and Servicemax.

Popular · 8 of 511
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