Greenhouse leads on each of seven criteria, widest on candidate pipeline (5.2 to Lever's 1.8), AI screening control (3.8 to 0.5), job distribution (2.5 to 0.2) and applicant data governance (3.2 to 1.8) — six judges lean Greenhouse on each, and no judge leans Lever on any criterion. Integrations and handover leans Greenhouse, 4.0 to 2.5, though Lever's terms there promise API export of customer data at any time during the term. The genuine splits sit at the low end: sovereignty ties four judges (0.5 versus 0.0, both products listing jurisdiction, ownership, data residency and subprocessor exposure as unknown), and pricing transparency ties two (1.8 versus 1.2, neither vendor publishing prices). Lever's AI screening control split its judges: some credited named features, others refused credit absent disclosure of what the models evaluate or how to switch them off. Weighted totals: Greenhouse 2.7 to 3.9, Lever 1 to 1.7.
Choose Greenhouse if
You need depth across the candidate pipeline: the means read 5.2 to Lever's 1.8, with six judges leaning Greenhouse and zero leaning Lever.
Your team distributes roles widely across job boards: job distribution reads 2.5 to 0.2, and Lever's own verdict places its score there at 0-1.
You need control over AI screening: the means read 3.8 to Lever's 0.5, and the bench split on Lever's credit absent disclosure of what the models evaluate or how to switch them off.
Your applicant-data requirements go beyond contract-end deletion: Lever's verdict says its governance rests on contract-end deletion alone; the means read 3.2 to 1.8.
Your HR-IT integrator weighs integrations and handover: the means read 4.0 to 2.5, and that judge's weighted total reads 3.4 to 1.7.
Choose Lever if
You need contractual data-exit rights: Lever's terms promise API export of customer data at any time during the term, plus third-party API interoperability — the basis of its strongest scores, on integrations and handover.
Your recruiting ops team runs on dashboards: the verdict credits Lever's candidate pipeline score to reporting strength with out-of-the-box dashboards.
You want AI features named with stated purposes — matching, resume screening, unlimited interview transcripts and summaries, fraud signals — which some judges credited.
Your stack ties into email providers and LinkedIn through customer-granted access, or already sits in the Employ Inc. group alongside Lever, Inc.
Read this comparison as one judge. Each weighs the same scores by what they care about.
The Talent Acquisition Lead
Fills sixty roles a year across three locations with a team of two. Wants pipelines hiring managers actually use, scorecards that make a decision defensible, and multiposting that reaches the German boards without a separate login. Unmoved by a match score she cannot explain to a candidate.
Greenhouse
This judge's pick
Lever
Criterion by criterion
Applicant management & hiring workflow
Greenhouse
Structured interview kits and scorecards, scheduling, reporting and SSO sit in the entry plan and an audit log arrives in the top tier, which is the scorecard discipline I need to make sixty hires defensible. But I found no public information on hiring-manager access scoped to their own vacancies, requisition or offer approvals, or German-language candidate communication, so I cannot tell from the pages whether a decision is attributable to a named person.
Lever
The captured pages describe a unified ATS and CRM with out-of-the-box dashboards and "pipeline health" reporting, but I found no public information on pipeline stages per job, structured scorecards, hiring-manager access, or any record of who decided what. Marketing copy cannot make a hiring decision defensible to a candidate, and nothing here shows how a decision would be documented.
Multiposting, career page & candidate experience
Greenhouse
The candidate portal with real-time status updates and seamless application is genuinely good candidate experience, and sourcing automation is listed as a paid-tier feature. But I found no public information on multiposting, German boards such as the Bundesagentur für Arbeit, a branded career page, Google for Jobs markup, or mobile application without an account — the distribution half of this criterion rests on nothing I can read.
Lever
I found no public information on job-board distribution, a career page, or the application process — not even a free aggregator feed, let alone the Bundesagentur für Arbeit or a major German paid board. I cannot tell my hiring managers how or where a vacancy would reach candidates from anything captured.
Retention, deletion & talent-pool consent
Greenhouse
There is a data-subject request portal, a stated commitment to delete or anonymize when there is no ongoing business need, and customer data queued for deletion ninety days after contract end. I found no public information on a configurable deletion deadline after rejection or talent-pool consent with expiry — the candidate portal works on an opt-out link rather than recorded consent — and the top tier's audit log is not described as recording who opened an applicant file.
Lever
The terms commit to deleting customer data after the contract ends "in accordance with Lever's data retention policy" and grant a one-time retrieval right, but I found no public information on configurable retention after rejection, talent-pool consent, or how an applicant's access or erasure request is handled. Deletion at contract end is not applicant governance, and the retention policy itself was not captured.
AI screening transparency & control
Greenhouse
AI features are marketed as benefits — a notetaker, voice AI, talent matching, AI-powered report filters — with the contract stating the customer remains solely responsible for hiring decisions and the vendor publishing AI principles plus a bias audit statement. But the captured pages do not document what each feature evaluates, offer a per-feature switch, or name a model provider, and the privacy policy discloses training AI models on personal information — that is a match score I could not explain to a candidate or a works council.
Lever
AI is marketed hard — "automatically prioritize top candidates with AI-powered matching", AI resume screening, AI fraud flags, unlimited AI interview transcripts — with no statement of what is evaluated, where it runs, whether it can be turned off, or who the model provider is. An automatic ranking I cannot explain to a candidate or a works council is exactly what I refuse to put my name on, and the marketing word "transparency" is not disclosure.
HR handover, integrations & API
Greenhouse
An API with usage limits, free data export at any time during the term, SSO in the entry plan and a developer sandbox with sync in the top tier are real substance my two-person team could build on. But the 'hundreds of pre-built integrations' are unnamed, and I found no public information on a handover to any HR or payroll system common in Germany, on e-signature, or on webhooks.
Lever
The terms confirm an API to pull customer data at any time, a connection to the customer's own email providers and LinkedIn, and a general clause that third-party products interoperate via APIs — but no named HR or payroll system, no calendar or e-signature integration, and no German handover such as Personio or DATEV. A hired candidate would be exported and retyped into the HR system.
European sovereignty
Greenhouse
The contracting entity is Greenhouse Software, Inc. of New York under New York law, the privacy policy says primary offices are in the United States and personal information may be processed in any of these countries, and hosting is unstated. The EU-U.S. Data Privacy Framework certification is a transfer safeguard, but I found no published subprocessor list and no statement of where the AI or any CV parsing runs — and every applicant record belongs to a third party who never chose this vendor.
Lever
The contracting entity is Lever, Inc. of San Francisco under California law with binding arbitration in San Francisco, part of Employ Inc.; hosting location is unstated, no subprocessor list appears in anything captured, and the location of the AI matching and transcript processing is unstated. Every applicant record belongs to a third party who never chose a US vendor, and I found no public information addressing that.
Pricing transparency
Greenhouse
The pricing page names three tiers and shows which features sit in each, and the contract states fees are based on employee headcount including affiliates, due in advance, exclusive of taxes, on an automatic one-year renewal with a fee increase possible. But I found no public price figures for any tier, and API overages and professional services are charged at then-current rates, so the annual invoice is not computable from the captured pages.
Lever
The captured pricing page lists features — AI transcripts, screening, dashboards — but no price figures at all, and the terms place every fee in an Order Form, invoiced annually, non-cancellable, non-refundable, exclusive of taxes, with automatic one-year renewal. The commercial mechanics are public, but the annual invoice is not computable from any of it.
Sovereignty, side by side
Dimension
Greenhouse
Lever
Legal entity
Not determined
Not determined
Ownership
Not determined
Not determined
Data residency
Not determined
Not determined
Subprocessors
Not determined
Not determined
Facts, side by side
Only facts both products carry under the same definition — anything else would not be a fair row.