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datajobs.ai is B2B software for technical hiring. Create a Hiring Project for each role, run assessments, collect interview evidence, and close the hire from one shared workspace.
Write what you need in plain language: stack, seniority, location, must-haves, and trade-offs.
The workspace turns the request into a brief your team can review, edit, and approve before sourcing starts.
Every candidate, assessment, interview, and decision links back to the same approved brief.
Project context
Remote Germany · BigQuery, dbt, Airflow · €85–105k · EU work authorization
Core concept
Not a job posting. A complete hiring workspace, from brief to offer, for one role at a time.
Turn a hiring request into an approved brief with stack, seniority, and must-haves.
Upload CVs, import from ATS, or add from your talent pool inside one project.
Send technical tasks, run panels, and collect scorecards in the same workspace.
Compare finalists on the same criteria. You approve the recommendation and offer.
Replace spreadsheets and shared inboxes with one workspace your recruiters and hiring managers share.
One workspace per role: brief, candidates, assessments, interviews, and decision.
Stage history, rejection reasons, and next actions visible to the whole hiring team.
SQL, Python, dbt, and architecture work matched to the approved brief.
Finalist comparison with evidence, risks, and a human approval step.
Recruiters, hiring managers, and interviewers with role-based access.
Tenant-scoped data, audit activity, and SSO on Enterprise.
Pricing
Per workspace, not per job posting. 14-day trial on all plans.
Starter
$499/ month
Small teams making focused technical hires
Scale
$1,299/ month
Growing teams hiring continuously
Enterprise
Custom
Regulated teams with security requirements
FAQ
It is a hiring workspace built around Hiring Projects. You can integrate with an ATS, but the product focuses on technical evaluation and decision records.
No public marketplace in V1. You evaluate candidates you already have permission to assess.
Your team. The product structures evidence and drafts recommendations. Humans approve.
Yes. Role-based access from onboarding or Team settings.
Run the guided demo with a Senior Data Engineer project, or sign in to your workspace.