HRMS migration

Migrate from Employ to BambooHR

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

Employ logo

Employ

Source

BambooHR

Destination

BambooHR logo

Compatibility

80%

8 of 10

objects map 1:1 between Employ and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Employ to BambooHR is an ATS-to-HRIS migration that requires a structural translation of two distinct data models. Employ is an applicant tracking system that generates AI-powered candidate scores, manages configurable hiring pipelines, and handles I-9 and E-Verify compliance within a recruiting workflow. BambooHR is an HRIS with a built-in ATS module that stores applicant records as flat entities attached to job openings. We extract AI interview scores from Employ's Candidate metadata and write them to a custom field in BambooHR, carry I-9 documents as encrypted file attachments linked to the Employee record rather than re-triggering verification, and resolve custom pipeline stages against BambooHR's fixed stage list. Hiring workflows, automations, and job board distribution settings do not migrate; we deliver a written inventory of every active workflow for the customer's admin to rebuild in BambooHR's automation builder or a third-party iPaaS tool.

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

Employ logo

Employ

What's pushing teams away

  • Employ Inc. is a holding company, not a single product — customers shopping for 'Employ' end up evaluating JazzHR (SMB), Lever (mid-market), Jobvite (enterprise), and NXTThing RPO separately, which slows procurement.
  • Lever pricing climbs from ~$6,000/year for small teams past $144,000/year for 1,000+ employee orgs, with no public rate card — large variance creates negotiation friction.
  • Jobvite pricing runs ~$7–$11 per-employee-per-month with annual costs ranging $4,800 to $60,000+ per Pin's analysis, again sales-led with no published rates.
  • Portfolio overlap (JazzHR + Lever + Jobvite cover much of the same TA scope at different price points) creates internal conflict for buyers evaluating across the Employ family.
  • Roadmap convergence between the brands is uneven — customers report being unsure which product gets feature priority post-consolidation.

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 Employ objects map to BambooHR

Each row shows how a Employ 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.

Employ

Job

maps to

BambooHR

Job (BambooHR Job Opening)

1:1
Fully supported

Employ Job records map to BambooHR Job Opening with title, description, department, location, and status preserved. The Employ job ID is retained in a custom field emp_job_id__c for reconciliation. BambooHR's Job Opening is the ATS-side record that candidates apply to; post-hire, the job context is linked to the Employee but BambooHR does not maintain a formal job history object. Active jobs migrate as open; closed jobs migrate as closed with application counts preserved.

Employ

Candidate

maps to

BambooHR

Applicant

1:1
Fully supported

Employ Candidate records map to BambooHR Applicant records. Contact information (name, email, phone, address), work history, education, and skills transfer directly. AI interview scores are stored as metadata on the Employ Candidate and require extraction as structured fields; we write these to BambooHR custom fields (created pre-migration) named ai_interview_score__c, ai_screening_status__c, and ai_confidence_rating__c if the customer wants to preserve them. Any Candidate without an associated Application in the migration scope is still migrated as an Applicant to preserve the talent pool.

Employ

Application

maps to

BambooHR

Applicant (linked to Job)

lossy
Fully supported

Employ Application records represent the candidacy link between a Candidate and a Job, carrying pipeline stage, application date, source, and any notes. In BambooHR's flat applicant model, this candidacy is represented by the Applicant record itself being attached to a Job Opening. We preserve the application date as a custom field app_submitted_date__c, the source as app_source__c, and notes in the BambooHR applicant notes field. Stage history from Employ is preserved as a custom field pipeline_history__c in JSON format if the customer requests it.

Employ

Hiring Pipeline and Stages

maps to

BambooHR

Job Stage

lossy
Fully supported

Employ allows each customer to define custom pipeline stages per job with no standard schema. BambooHR uses a fixed stage list per job type (Applied, Phone Screen, Interview, Offer, Hired, Rejected) with limited customization. We extract the full Employ stage list during discovery, map each to the closest BambooHR equivalent, and flag any stages with no valid mapping for the customer's admin to assign manually before migration. Stages with no equivalent land in a custom field original_stage__c on the BambooHR applicant record.

Employ

AI Interview Score

maps to

BambooHR

Custom Fields (ai_interview_score__c, ai_screening_status__c)

1:1
Fully supported

Employ AI Recruiter evaluation scores are not a standalone exportable object; they are stored as metadata on the Candidate record. We identify candidates with AI scores during data audit, extract the structured score values and confidence ratings, and write them to pre-created BambooHR custom fields. The extraction logic uses custom parsing since there is no documented API field name. We flag any score that maps to a rating above or below the destination custom field's defined range and scale the values to fit.

Employ

Employee (Post-Hire)

maps to

BambooHR

Employee

1:1
Fully supported

When a Candidate is hired, the record transitions to an Employee object in Employ with start date, department, manager, employment status, and compensation fields. We map these directly to BambooHR Employee fields. The Employee is created in BambooHR during the post-hire migration phase after the Applicant record has been confirmed as hired. Manager relationships are resolved via email match against the BambooHR destination's user directory; any manager without a matching Employee record is flagged in reconciliation.

Employ

I-9 and E-Verify Record

maps to

BambooHR

Employee File (Encrypted Attachment)

1:1
Fully supported

Employment eligibility verification records are regulatory documents that must transfer with their full audit trail intact. We carry I-9 and E-Verify records as encrypted file attachments linked to the corresponding Employee record in BambooHR. We do not re-trigger the E-Verify workflow in BambooHR because that would overwrite the existing verification status. The customer must confirm before migration that BambooHR's file storage policy meets their compliance retention requirements. Some BambooHR configurations require the HR admin to re-upload I-9 documents manually post-migration; we document this decision during scoping.

Employ

User and Role

maps to

BambooHR

Employee (with Role)

1:1
Fully supported

Employ assigns Users to roles (Recruiter, Hiring Manager, Admin) tied to hiring permissions. BambooHR uses an Employee record with an Employee Type field (Full-Time, Part-Time, Contractor) and access-level configuration. We extract role assignments and map them to BambooHR employee type and a custom role field emp_source_role__c for reference. BambooHR's permission model is role-based (Employee, Manager, Admin) and controlled separately from the employee record. Any Employ user who is not also an Employee (e.g., external recruiter) is flagged as a non-employee user for manual provisioning in BambooHR.

Employ

Custom Fields (Jobs, Candidates, Applications)

maps to

BambooHR

Custom Fields

1:1
Fully supported

Employ supports custom fields on Jobs, Candidates, and Applications. BambooHR supports custom fields on Employee, Applicant, and Job Opening objects. We conduct a custom field audit during discovery (there is no published schema documenting which custom fields exist per customer), create matching custom fields in BambooHR pre-migration, and map the values during the load phase. Custom fields with unsupported data types (e.g., complex nested objects) are flagged for the customer's admin to resolve.

Employ

Job Board Distribution Settings

maps to

BambooHR

Not Migrated

1:1
Fully supported

Job postings distributed to third-party job boards are tracked as configuration settings in Employ rather than as data records. These are destination-specific and tied to Employ's job board integration partnerships. We do not migrate these configurations. The customer's admin rebuilds job distribution settings in BambooHR's job board integrations (Indeed, Glassdoor, LinkedIn) or their existing job board accounts post-migration.

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.

Employ logo

Employ gotchas

Medium

AI interview scores stored as metadata on Candidate, not as a native object

High

I-9 and E-Verify records require compliance-aware handling

Medium

Pipeline stages are customer-configured with no standard schema

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

  • AI interview scores require custom extraction and field mapping

    Employ's AI Recruiter generates interview evaluation scores and attaches them to the Candidate record as metadata rather than a distinct field with a documented API name. We must run custom extraction logic to identify which Candidates have AI scores, parse the metadata structure, and write the values to pre-created custom fields in BambooHR. Without this step, the scores are silently lost because BambooHR has no native AI scoring field to receive them. We flag any score that falls outside the defined range of the destination custom field and apply scaling. This adds scope to the scoping phase that is not present in standard HRMS-to-HRMS migrations.

  • Pipeline stages must reconcile against BambooHR's fixed stage list

    Employ allows each customer to define custom pipeline stages per job with no universal schema. BambooHR's ATS uses a fixed stage list (Applied, Phone Screen, Interview, Offer, Hired, Rejected) with limited ability to add custom stages. During discovery, we extract the full Employ stage list and match each to a BambooHR equivalent. Stages with no direct match are flagged and assigned to a manual mapping step before migration. Candidates landing in a null stage cause import errors in BambooHR's ATS module. We run a dry-run migration in sandbox to surface these mismatches before production cutover.

  • I-9 documents require compliance-aware handling and admin confirmation

    Employment eligibility verification records are sensitive regulatory documents with retention and re-verification requirements under federal law. We carry these as encrypted file attachments to the Employee record rather than triggering a new E-Verify workflow. However, BambooHR does not have a native I-9 management module; some customers prefer to re-upload I-9 documents manually to maintain their own verification audit trail. We confirm the customer's compliance posture during scoping. If they require a new E-Verify submission rather than a carry-over, we flag that this is outside standard migration scope and recommend a separate compliance review.

  • BambooHR's flat applicant model does not preserve the Candidate-Application split

    Employ maintains separate Candidate and Application objects where one Candidate can have multiple Applications across different Jobs. BambooHR's ATS treats applicants as flat records attached to a single Job Opening; if the same person applied to multiple jobs, they appear as separate applicant records. We extract all Applications per Candidate and write each as a separate BambooHR applicant record, preserving the original Application ID in a custom field. The customer's admin should be aware that candidate deduplication across multiple jobs requires a manual review post-migration if Employ had merged candidate records.

  • Hiring workflows and automations do not migrate to BambooHR

    Employ Hiring Process automations (stage-triggered actions, email sequences, task assignments, compliance checkpoints) are configured within the ATS and do not export as data. BambooHR uses its own automation model (task triggers, email templates, onboarding sequences) with different logic and structure. We do not migrate automations as code. We deliver a written inventory of every active Employ workflow with its trigger conditions, actions, and recommended BambooHR equivalent so the customer's HR admin or implementation partner can rebuild them post-migration. Onboarding templates in BambooHR are template-based and not equivalent to Employ's automated onboarding workflows.

Migration approach

Six steps for a successful Employ to BambooHR data migration

  1. Discovery and scoping

    We audit the source Employ instance for all record types: Job Postings (count and status), Candidate records (including identification of records with AI interview score metadata), Applications (stage history and attachment counts), post-hire Employee records (headcount, manager relationships, termination history), and custom fields on each object. We review the Employ pipeline stage configuration to extract the complete list of active stage names per job. We conduct a compliance review with the customer to determine I-9 carry-over versus re-upload preference. We also audit BambooHR's existing configuration (if any) to understand what ATS settings, custom fields, and employee types are already in place. The discovery output is a written migration scope document with record counts, object mapping, and a list of items requiring customer decision.

  2. Schema design and sandbox preparation

    We create the target schema in BambooHR. This includes provisioning any missing custom fields (ai_interview_score__c, ai_screening_status__c, original_stage__c, pipeline_history__c, emp_source_role__c, emp_job_id__c, app_submitted_date__c, app_source__c) on Employee, Applicant, and Job Opening objects. We configure job stage mappings and verify that BambooHR's ATS module is active for the customer's account. If BambooHR's ATS is not already enabled, the customer must activate it with BambooHR directly before migration. We run a sandbox migration using a subset of records (typically 10-20 percent sample) to validate the stage mapping logic, custom field population, and I-9 attachment carry-over before full production migration.

  3. AI score extraction and custom field population

    We run the custom extraction logic against all Employ Candidate records to identify those with AI interview scores. The extraction parses the Candidate metadata for score values, confidence ratings, and screening disposition, then writes these to the corresponding BambooHR custom fields we created during schema design. We apply value scaling where the Employ score range differs from the BambooHR custom field range. The extraction output includes a reconciliation report listing candidates with scores, the original values, and the mapped values, which the customer reviews and approves before the full migration load.

  4. Production migration in dependency order

    We run production migration in record-dependency order: Job Openings (to receive applicants), Applicants (with AI scores and pipeline history mapped), Employee records (post-hire, with manager email resolved), I-9 and E-Verify attachments (encrypted carry-over), and User-to-Employee role mapping. BambooHR's REST API supports batch operations with rate limiting; we use exponential backoff and batch chunking to stay within limits. Each phase emits a row-count reconciliation report. We flag any record that fails import and surface it in a resolution queue for the customer's admin to address before cutover.

  5. Cutover, validation, and workflow handoff

    We freeze writes in Employ during the cutover window, run a final delta migration of any records modified during the migration period, then confirm BambooHR as the system of record for HR and ATS data. We deliver a reconciliation report comparing source and destination record counts and spot-checking field values for 25-50 records per object. We deliver the Hiring Workflow inventory document to the customer's HR admin with recommendations for BambooHR automation equivalents. We do not rebuild Employ workflows in BambooHR; that is a separate engagement or an internal admin task. We support a one-week hypercare window for post-migration issues.

Platform deep dives

Context on both ends of the pair

Employ logo

Employ

Source

Strengths

  • AI-powered candidate screening and video interview scoring embedded directly in the recruiting workflow
  • Native I-9 and E-Verify compliance automation eliminates third-party verification tools
  • End-to-end hiring automation from job posting through onboarding within a single platform
  • Intuitive task management interface that HR teams find easy to navigate
  • Automations reduce manual repetitive tasks and associated human error in high-volume hiring

Weaknesses

  • Research data did not surface published API documentation, rate limits, or authentication methods for programmatic data extraction
  • Pricing tiers and per-seat or per-transaction costs were not publicly documented in available sources
  • Custom fields and pipeline stage configurations vary by customer without a published schema
  • AI interview scores are not a standalone exportable object, requiring custom extraction logic
  • Job board distribution settings are not transferable across platforms
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. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

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

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • 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

    Employ: Documented separately per brand; Lever ~10 requests/sec per token, Jobvite plan-tier dependent, JazzHR not extensively documented.

  • Data volume sensitivity

    A

    Employ exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Employ 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 Employ to BambooHR data migrations

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

Can't find your answer?

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Most migrations land between three and five weeks for accounts with under 5,000 total records (Candidates, Applications, Employees) and straightforward pipeline stage mappings. Migrations with AI interview score extraction, I-9 compliance document carry-over, post-hire employee records exceeding 5,000, and custom pipeline stage reconciliation move to eight to twelve weeks because of the metadata extraction work, compliance review, and stage mapping scope. BambooHR's own implementation process (typically four to six weeks with two calls per week) runs in parallel with our data migration and is managed directly by BambooHR.

Adjacent paths

Related migrations to explore

Ready when you are

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