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Lattice HRIS and Greenhouse Integration: Automate New-Hire Data Transfer, Mapping Best Practices, and ROI

Titus Juenemann June 27, 2025

TL;DR

The Lattice HRIS and Greenhouse integration automates the transfer of hired-candidate data into Lattice, reducing duplicate entry and improving onboarding speed. This guide covers core features, who benefits, setup and mapping best practices, security considerations, measurable ROI examples, and an implementation checklist. Conclusion: with proper field mapping, pilot testing, and monitoring, the integration reduces administrative effort and data errors—complement these gains with upstream resume screening (for example, using an AI tool) to improve the quality of hires flowing through Greenhouse into Lattice.

The Lattice HRIS and Greenhouse integration automates the transfer of candidate and hire data from recruiting into your employee information system. When a candidate in Greenhouse is marked as hired, the integration brings that record into Lattice on the next sync (or immediately if you initiate a manual sync), reducing duplicate data entry and the administrative burden around onboarding. This article explains exactly how the integration works, which organizations benefit most, practical setup and mapping considerations, measurable benefits you can expect, and common pitfalls to avoid during implementation. It includes examples and checklists you can use to assess whether the integration fits your HR technology stack.

Core features of the Lattice–Greenhouse integration

  • Automatic candidate import Hired candidates in Greenhouse are propagated to Lattice HRIS on the next scheduled sync or a manual trigger, ensuring new hires appear in Lattice before their start date.
  • Field synchronization Key employee fields (name, email, job title, department, start date) map from Greenhouse to Lattice to prevent duplicate entry and maintain accuracy.
  • Flexible sync cadence Choose automatic daily syncs, manual one-off syncs for immediate updates, or a hybrid approach to match your operational needs.
  • Pre-start updates If HR updates candidate information in Greenhouse prior to start, those updates carry into Lattice so records stay current at onboarding.
  • Admin visibility Admins retain visibility into sync status and can re-run syncs or review mapping logs for troubleshooting.

How the synchronization works in practice: Greenhouse holds the recruiting data; Lattice holds the HRIS profile. When a candidate status flips to a hired state in Greenhouse, the integration queues that record to be pushed to Lattice. Depending on your settings, the push happens automatically (e.g., nightly) or when an admin initiates a manual sync. The integration typically transfers core fields first and can be configured to include additional metadata used for onboarding or reporting.

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Who benefits most from this integration

  • Small-to-midsize HR teams (10–200 employees) Teams without dedicated HR operations staff gain a direct reduction in repetitive data entry and fewer onboarding delays.
  • Companies with centralized HRIS processes Organizations that maintain consistent job codes, departments, and onboarding checklists benefit because synchronized records reduce manual reconciliation.
  • High-volume hiring teams Recruiting teams with frequent hires (campus programs, retail rollouts, or seasonal hiring) reduce the operational load and improve time-to-productivity for new hires.
  • Organizations that require auditability Firms that need a clear audit trail for new-hire data benefit from automated transfers and sync logs that record when data moved between systems.

Manual onboarding vs. Lattice–Greenhouse integrated workflow

Process step Manual approach Integrated approach (Lattice + Greenhouse)
New-hire data entry HR or admin copies data from Greenhouse into HRIS manually after offer acceptance. New-hire appears in Lattice automatically on sync; no duplicate typing required.
Pre-start updates Changes in Greenhouse must be re-entered in HRIS before start. Pre-start changes in Greenhouse sync to Lattice to keep records current.
Error correction Errors discovered later require cross-system reconciliation. Sync logs and consistent mapping reduce the number of cross-system inconsistencies.
Time to onboard Onboarding forms and access may be delayed until HR finishes manual entry. Faster creation of HRIS records accelerates access provisioning and scheduled onboarding tasks.

Practical setup steps to get started: obtain API credentials from both systems, decide which Greenhouse statuses should trigger a transfer (e.g., 'Hired' vs 'Offer Accepted'), configure field mappings in Lattice to match your company taxonomy, and choose your sync cadence. Run a small pilot with a handful of hires to validate mappings and the behavior of pre-start updates before enabling auto-sync at scale.

Best practices for mapping and data hygiene

  • Standardize job and department codes Use consistent identifiers across recruiting and HRIS to avoid mismatches and to enable downstream reporting.
  • Confirm required fields Identify which Greenhouse fields are mandatory in Lattice and prevent hires from being pushed without those values.
  • Clean historical data first If you already have overlapping records, reconcile duplicates prior to enabling automatic syncs to prevent duplicate profiles.
  • Document mapping rules Keep an internal mapping document that records how each Greenhouse field maps to Lattice and any transformation rules (e.g., title normalization).

Common field mappings (example)

Greenhouse field Lattice HRIS field
Candidate first_name, last_name Employee full_name / given_name / family_name
Candidate email Work email
Offer start_date Start date
Job title Title
Department / team Department

Frequently asked questions about the integration

Q: Can the integration overwrite existing employee records in Lattice?

A: By default, mapping rules determine whether an incoming record creates a new profile or updates an existing one. Configure matching logic (usually by email or employee ID) to prevent unintended overwrites and review sync logs after test runs.

Q: How often should we run automatic syncs?

A: A daily automatic sync suits many organizations; however, teams that need immediate updates can use manual syncs for ad hoc pushes. Choose a cadence that balances freshness with your operational risk tolerance.

Q: What happens if required fields are missing in Greenhouse?

A: Lattice will typically block or flag the incoming record depending on how required fields are configured. Implement validation rules in Greenhouse to reduce blocked syncs.

Q: Is the integration reversible if we change HRIS vendors?

A: Data transfer logs and export features mean you can extract records before decommissioning. Plan a migration strategy and export a final snapshot from Lattice if moving vendors.

Security and privacy considerations: the integration relies on API-level authentication between Greenhouse and Lattice, so enforce strong credentials, rotate API keys periodically, and scope tokens to the minimum permissions necessary. Review both vendors' privacy and data processing terms (e.g., Lattice HRIS privacy policy and Greenhouse support pages) to ensure compliance with your internal policies and applicable regulations.

Common pitfalls and how to avoid them

  • Mismatched taxonomies If titles or departments differ between systems, normalization rules should be added to mapping to avoid fragmented reporting.
  • Incomplete pilot testing Only enabling auto-sync without piloting can surface unexpected issues—run a controlled pilot and review logs first.
  • Assuming all fields sync Not all custom fields in Greenhouse will map automatically—identify and configure custom fields ahead of time.
  • Neglecting audit and rollback plans Keep a rollback and correction process to fix any incorrect pushes; frequent exports and audit logs help with recovery.

Measuring impact and ROI: calculate time savings by estimating the average time an admin spends entering a new-hire into the HRIS and multiplying by hires per year. Example: if data entry takes 15 minutes per hire and you hire 400 people annually, the integration saves roughly 100 hours of admin time. Beyond hours saved, count reductions in data correction cycles, faster provisioning of tools for new starters, and improved reporting accuracy as additional, often higher-value benefits.

Implementation checklist (quick)

  • Obtain API keys Generate and securely store API credentials in both Greenhouse and Lattice.
  • Define triggering statuses Decide which candidate statuses in Greenhouse should initiate a transfer (e.g., 'Hired').
  • Map required fields Confirm mandatory fields in Lattice and map corresponding Greenhouse fields.
  • Run a pilot Push test records and validate behavior, then review logs and resolved issues.
  • Enable auto-sync and monitor Turn on the scheduled sync and establish monitoring and a cadence for reviewing logs.

Practical constraints and where this integration is commonly used: the Lattice–Greenhouse integration is widely adopted in North America across company sizes from startups to mid-market (roughly 1–1,000 employees). There is typically no partner implementation fee for standard installs, and vendor documentation is available in English. Before rolling out, check the latest support pages from Greenhouse and Lattice HRIS and consult your internal IT policy for API integrations.

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