HRMS migration

Migrate from GoHire to BambooHR

Field-level mapping, validation, and rollback between GoHire and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.

GoHire logo

GoHire

Source

BambooHR

Destination

BambooHR logo

Compatibility

90%

9 of 10

objects map 1:1 between GoHire and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

GoHire and BambooHR serve different roles in a hiring stack. GoHire is an ATS built around multi-job-board publishing — its core differentiator is one-click distribution to Indeed, Monster, CareerBuilder, and other aggregators. BambooHR is an HRIS platform with an optional ATS module that handles applicant tracking, onboarding, time-off, and core HR records in one place. Teams moving from GoHire to BambooHR are typically consolidating a standalone ATS onto a unified HRIS platform or adopting BambooHR's ATS for the first time. We handle the data layer: extracting the GoHire CSV export, pre-creating the BambooHR schema (including custom fields via their Custom Field Builder API), mapping pipeline stages to BambooHR Application status values, and loading Jobs and Candidates in dependency order. BambooHR charges $99-$199 per month for the ATS add-on on top of the Core plan, so we confirm ATS access is active before migration begins. We do not migrate GoHire job board integrations or automated candidate communication workflows — we deliver a written inventory of each distribution channel for the customer to reconfigure post-migration.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

GoHire logo

GoHire

What's pushing teams away

  • Premium paid job board listings add significant cost on top of the base subscription, which frustrates teams that expected unlimited or included job board distribution.
  • Limited native integrations beyond Zapier and a handful of job boards — teams with established HR stacks find GoHire does not connect cleanly to payroll, HRIS, or background-check tools.
  • Job board posting latency is outside GoHire's control — Indeed in particular can take 24–48 hours to publish a listing, which teams needing rapid hires find unacceptable.
  • Smaller review volume and lower brand recognition compared to competitors like Workable or BambooHR creates hesitation for enterprises looking for a proven, widely-adopted ATS.

Choosing

BambooHR logo

BambooHR

What's pulling them in

  • Lowest friction entry point for SMBs moving off spreadsheets — intuitive interface means most teams are functional within days, not weeks.
  • Consolidation value: BambooHR merges ATS, onboarding, HR records, time-off, and payroll into a single pane of glass that employees never need to leave.
  • Volume discounts applied automatically by headcount, so pricing scales predictably as the company grows without renewal negotiations.
  • BambooHR reports most customers go live in four to six weeks, making it a realistic commitment for under-resourced HR teams.
  • Award-winning Support Heroes cited frequently in reviews — responsive human support after implementation is a differentiator.

Object mapping

How GoHire objects map to BambooHR

Each row shows how a GoHire object lands in BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

GoHire

Job

maps to

BambooHR

Job Opening

1:1
Fully supported

GoHire Jobs map to BambooHR Job Openings. We transfer the full job record: title, description, location, department, and open/closed status. The GoHire job ID is preserved in a custom field gh_job_id__c for audit traceability. GoHire department assignments map to BambooHR Department if that taxonomy exists in the destination; otherwise it is stored as a custom text field for the admin to reconcile post-migration.

GoHire

Candidate

maps to

BambooHR

Applicant

1:1
Fully supported

GoHire Candidate profiles map to BambooHR Applicants. Contact information (name, email, phone, address), work history, and education migrate as standard Applicant fields. The original GoHire candidate ID is stored in a custom field gh_candidate_id__c. Resume files are exported from GoHire's built-in bulk download tool by the customer before migration kickoff and reimported as attachments to the corresponding BambooHR Applicant record.

GoHire

Application

maps to

BambooHR

Application

1:1
Fully supported

GoHire Applications link a Candidate to a Job and carry source attribution (which job board or direct link generated the application). We preserve the Candidate-to-Job linkage by matching on the gh_job_id__c custom field after Jobs are loaded. The application source channel migrates as a custom text field. Application status (applied, screening, interview, offer, hired, rejected) maps to the corresponding BambooHR Application status values; any GoHire stages that do not map directly become custom Application status options that we document for the customer to activate in BambooHR settings.

GoHire

Pipeline Stage

maps to

BambooHR

Application Status

lossy
Fully supported

GoHire's configurable candidate pipeline stages vary by customer setup. We discover the exact stage names during the source audit, then map each to a BambooHR Application status or custom status option. Stage order is preserved in the mapping document. If BambooHR's Application status options do not cover the full GoHire pipeline (for example, a 'background check' or 'reference check' stage), we document the gap and the admin adds those statuses in BambooHR settings before migration loads Applications.

GoHire

Screening Question

maps to

BambooHR

Custom Field

1:1
Fully supported

GoHire custom screening questions attached to a Job are stored as custom fields with response values per Candidate. We transfer response values as structured data into equivalent BambooHR custom fields on the Applicant object. The screening question text itself (the field label) is recreated manually in BambooHR's Custom Field Builder by the customer post-migration, because BambooHR's import mechanism handles field values but not the definition of new custom field labels. We provide a field creation guide referencing GoHire's question text.

GoHire

Interview Event

maps to

BambooHR

Calendar Event

1:1
Fully supported

GoHire interview scheduling records and associated calendar invites migrate as calendar events in BambooHR. Meeting link preferences (GoHire's own self-scheduling link, Google Meet, Outlook) do not carry forward — we document the meeting tool used per interview and the customer configures a replacement in BambooHR or their calendar tool post-migration. Interviewer assignments, date, time, and location transfer where available.

GoHire

Team Member

maps to

BambooHR

User

1:1
Fully supported

GoHire hiring team members (recruiters, hiring managers, administrators) transfer to BambooHR as User accounts. We match by email address and map GoHire role labels (Admin, Recruiter, Hiring Manager) to the nearest BambooHR permission level. The customer admin reviews User access levels post-migration because BambooHR's permission model is structured around HRIS roles that may not map one-to-one from GoHire's ATS-specific roles.

GoHire

Job Board Distribution Metadata

maps to

BambooHR

Custom Field (documentation deliverable)

1:1
Fully supported

GoHire's core differentiator is its multi-job-board publishing layer. We extract the job board association metadata for each GoHire Job (which boards the listing was published to, publication date, board-specific status). This data has no native equivalent in BambooHR's ATS. We preserve it as a structured reference document listing each GoHire Job, its associated boards, and the board-specific URL where available. The customer uses this document to re-publish listings on the destination boards of their choosing — BambooHR does not have a native multi-board distribution feature.

GoHire

Custom Property (Job)

maps to

BambooHR

Custom Field (Job Opening)

1:1
Fully supported

GoHire custom fields on Jobs are discovered at scan time and mapped to equivalent BambooHR custom fields on the Job Opening object. BambooHR enforces a 400-field ceiling per account across all object types, which we check during scoping. If the combined custom field count across all objects approaches this limit, we surface it before migration begins and work with the customer to archive or consolidate fields that are no longer in active use.

GoHire

Custom Property (Candidate)

maps to

BambooHR

Custom Field (Applicant)

1:1
Fully supported

GoHire custom fields on Candidates map to BambooHR custom fields on the Applicant object. Custom field data types are matched during the mapping phase: text fields to text, numeric values to number, dates to date, and multi-select values to a type-compatible BambooHR field. BambooHR's Custom Field Builder is used to provision any new fields before data loading begins. Field IDs are fetched per customer via GET /v1/meta/fields as required by BambooHR's field-reference model, then used in the import payload.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

GoHire logo

GoHire gotchas

Medium

Job board standards compliance affects migration completeness

Medium

Bulk resume export requires GoHire account access

High

No documented public API for automated extraction

BambooHR logo

BambooHR gotchas

High

Undocumented API rate limits can trigger 503 errors

High

Per-employee pricing model requires active record count verification

Medium

API credentials must be sent on every request to avoid extra round trips

Medium

Custom field schema varies per account and requires manual inventory

Low

Document and attachment exports are not covered by standard report exports

Pair-specific challenges

  • GoHire has no documented public API for automated extraction

    All evidence from our research surfaces GoHire's in-platform data exports as the primary extraction mechanism — there is no documented public API with authenticated endpoints or rate limits. We request that the customer provides a complete data export from GoHire's admin panel before migration begins. If the customer no longer has active GoHire access, some records may require manual retrieval. We flag this requirement during migration kickoff and ask the customer to export resumes in bulk via GoHire's documented bulk download tool before the old account is closed. Incomplete exports may result in gaps that we surface in the reconciliation report.

  • BambooHR enforces an undocumented rate limit on the destination API

    BambooHR's API rate limits are not published in their official documentation. In practice, the limit is approximately 100 requests per minute per API key, and requests exceeding this threshold return a 503 Service Unavailable — not the standard 429 Too Many Requests. We implement exponential backoff and treat 503 responses as rate limit signals. BambooHR also does not paginate employee or applicant lists; all records are returned in a single response, which means large migrations require chunking on the source side rather than relying on destination pagination.

  • BambooHR custom fields require provisioning before import

    BambooHR's Custom Field Builder allows admins to create custom fields without contacting support, but the field definition must exist before data can be loaded into it. We fetch available field IDs via GET /v1/meta/fields during scoping, then use the Custom Field Builder API to provision any new fields required by the GoHire migration before the import phase begins. The 400-field ceiling per BambooHR account means we check total custom field inventory (across all objects) during scoping and flag if the migration would approach or exceed that limit.

  • Bulk resume import requires customer-side export from GoHire

    GoHire's bulk resume download is an in-platform action available to account administrators, not an API endpoint. We request that the customer exports all resume files from GoHire before account closure and provides them alongside the structured data export. Each resume file is associated with a Candidate record via filename matching. If the customer has already lost GoHire access, resumes may need to be retrieved manually or may be inaccessible for bulk import. We flag this during kickoff to avoid a last-minute gap in the import package.

  • Job board distribution does not migrate between platforms

    GoHire's multi-job-board publishing is a native integration layer that does not have a counterpart in BambooHR. Each job board connection (Indeed, Monster, CareerBuilder, and others) is a GoHire-specific credential and listing format. We document every GoHire job-to-board association in a structured reference sheet during migration, but the customer must re-establish each job board integration in BambooHR or through a separate job distribution tool post-migration. This is a rebuild step, not a data migration step, and is outside our standard migration scope.

Migration approach

Six steps for a successful GoHire to BambooHR data migration

  1. Discovery and export coordination

    We audit the source GoHire account across Jobs (active and closed), Candidates, Applications, pipeline stage names, custom fields on Jobs and Candidates, team member accounts, and any bulk resume exports already completed. We confirm whether BambooHR's ATS module is active on the destination account and, if not, coordinate ATS add-on activation before migration begins. We request that the customer completes the GoHire admin-panel data export and bulk resume download at this stage. The discovery output is a written migration scope with record counts, a GoHire-to-BambooHR field mapping draft, and a list of any missing export items the customer needs to provide.

  2. BambooHR schema preparation

    We authenticate to the BambooHR destination account using an API key with permissions scoped to the relevant data types. We fetch the current field inventory via GET /v1/meta/fields to identify which custom fields already exist and which require creation. We provision any missing custom fields (Job Opening and Applicant objects) via BambooHR's Custom Field Builder. We check the 400-field ceiling against the combined custom field count across all objects. We confirm the Application status options available in the destination account and document any GoHire pipeline stages that require new status values to be added in BambooHR settings before import.

  3. Data mapping and transform design

    We design the field-level mapping between GoHire export fields and BambooHR API field names. Pipeline stages map to Application status values based on the naming convention agreed with the customer. GoHire's application source attribution (job board channel) is preserved as a custom text field. The GoHire job ID and candidate ID are stored in custom audit fields (gh_job_id__c, gh_candidate_id__c) on the destination records for traceability. We validate the mapping in a dry-run against a small subset of records before full migration begins.

  4. Sandbox or pilot load

    We run a pilot migration with a representative sample of GoHire data (typically 10-20% of total record volume) into the BambooHR destination to validate the mapping, confirm custom field population, and verify Application status assignment. The customer's HR admin reviews the pilot results against the GoHire source records and signs off before the full migration proceeds. Any mapping corrections identified in the pilot are applied to the transform scripts before the production phase.

  5. Production migration in dependency order

    We run the production migration in record-dependency order. Jobs load first so that job IDs are available for Application-to-Job linking. Candidates and Applications load next with the job ID references resolved. Custom fields populate during each object load using the field IDs fetched from /v1/meta/fields. Resume files are associated with Applicant records by filename matching against the customer-provided export. We pace requests against BambooHR's approximately 100 requests/minute rate limit and implement exponential backoff on 503 responses. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and job board rebuild handoff

    We freeze GoHire as the system of record during cutover, run a final delta migration of any records modified during the migration window, then confirm BambooHR as the active ATS. We deliver the Job Board Distribution Reference Sheet documenting every GoHire job-to-board association and the destination URL for each listing where available. We deliver the GoHire Automation and Communication Workflow inventory documenting any candidate email templates, automated communication sequences, or job board refresh rules the customer should reconfigure in BambooHR or their chosen distribution tools. We do not rebuild GoHire workflows, sequences, or job board integrations as part of the migration scope.

Platform deep dives

Context on both ends of the pair

GoHire logo

GoHire

Source

Strengths

  • One-click multi-job-board distribution to Indeed, Monster, CareerBuilder, SimplyHired and other aggregators built into the core product.
  • Built-in careers page builder lets small businesses publish a branded careers site without a separate CMS.
  • Calendar-integrated interview scheduling (Google Calendar, Outlook) removes most coordination back-and-forth.
  • Flat-rate pricing tied to active job listings rather than per-user, predictable for small hiring teams.
  • 14-day free trial with no credit card required lowers the evaluation barrier for lean HR teams.

Weaknesses

  • Limited native integrations beyond Zapier and the bundled job boards — no first-party connectors to most payroll, HRIS, or background-check tools.
  • Premium / featured job board listings add cost on top of the base subscription, surprising customers who expected unlimited distribution.
  • Job board publishing latency (especially Indeed at 24-48 hours) is outside GoHire's control and frustrates teams needing urgent fills.
  • No documented public API — data extraction relies on in-platform exports and bulk-resume download tools, not programmatic access.
  • Lower review volume and brand recognition versus Workable, BambooHR, or Greenhouse, which creates procurement hesitation for larger evaluators.
BambooHR logo

BambooHR

Destination

Strengths

  • Single platform consolidating ATS, onboarding, HR records, payroll, and time-off reduces system sprawl for SMBs.
  • Fast implementation — BambooHR reports four to six weeks from kickoff to go-live for most customers.
  • Per-employee pricing with automatic volume discounts makes cost predictable as headcount grows.
  • Strong customer support reputation (Support Heroes) cited consistently across G2, Capterra, and direct testimonials.
  • Well-documented API with UTF-8 encoding, clear field types, and HTTPS-only access.

Weaknesses

  • Mobile application is significantly limited compared to the desktop experience, frustrating remote and field workers.
  • Companies above 150–200 employees frequently outgrow the platform's feature depth and customization surface.
  • Limited advanced reporting and analytics compared to enterprise HR platforms — custom report building is the ceiling.
  • PTO and profile customization are pain points — non-standard accrual policies and complex org structures require workarounds.
  • Document management and attachment handling lack the granularity of dedicated document-centric HR systems.

Complexity grading

How hard is this migration?

Standard HRMS migration. All 7 core objects map 1:1 between GoHire and BambooHR.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across GoHire and BambooHR.

  • Object compatibility

    A

    All 7 core objects map 1:1 between GoHire and BambooHR.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    GoHire: Not publicly documented.

  • Data volume sensitivity

    B

    GoHire doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your GoHire to BambooHR migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about GoHire to BambooHR data migrations

Answers to the questions buyers ask most during GoHire to BambooHR migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your GoHire to BambooHR migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Migrations with fewer than 5,000 Applicants, 200 Jobs, and no complex custom fields land between three and five weeks. Migrations with multiple GoHire pipelines, high-volume custom fields, active job board distribution histories, or a destination BambooHR account that is not yet set up with the ATS module move to eight to twelve weeks because of additional schema discovery, Custom Field Builder provisioning, and ATS add-on activation coordination. BambooHR's own implementation guide estimates four to six weeks for a full BambooHR setup, which is separate from the data migration timeline.

Adjacent paths

Related migrations to explore

Ready when you are

Move from GoHire.
Land in BambooHR, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day