IT recruitment software
One workspace for sourcing, qualification, relationship history and client-ready shortlists across specialist technology assignments.
A platform engineer, site reliability engineer and cloud engineer may overlap, yet the required stack, scale and operating context differ. Search needs room for synonyms and adjacent experience, followed by informed recruiter review.
Relevant context may sit across a public profile, a portfolio, earlier conversations and notes in the CRM. Copying fragments between tools creates stale records and makes it harder to explain why someone belongs on a shortlist.
Scarce specialists receive generic messages constantly. A useful workflow should help a consultant inspect role fit and relationship history before deciding whether, when and how to contact someone.
Search the public web, approved data providers and your own recruiting CRM, then refine a working pool by relevant skills, context and location rather than relying on one title string.
Use matching as a prioritisation aid. The consultant can inspect the available evidence, correct assumptions and decide whether a profile belongs in the process.
Capture available profile information into a reviewable workflow alongside notes, stages and prior interactions, so a new assignment starts with the team’s existing knowledge.
Reveal available contact details for recruiter review and use the assignment context to prepare a relevant approach. Availability does not replace a lawful basis, suppression rules or professional judgement.
This is a working pattern, not a promised result. Your process, data rights and review steps still determine the outcome.
Translate the client conversation into must-have capabilities, useful adjacencies, location limits and clear reasons a profile should not advance.
Search external sources and the existing CRM. Review why suggested people may fit, rather than treating an algorithmic order as a decision.
Record recruiter notes, availability, motivation and open questions in the same workflow. Keep uncertain claims marked for confirmation.
Move only reviewed candidates forward and give the client a concise account of fit, gaps and points that still need validation.
These primary sources frame the data-protection and human-oversight questions behind the workflow.
Primary legal text for lawful processing, transparency, data minimisation and data-subject rights.
Primary legal text for understanding risk, information and oversight duties around AI-supported employment decisions.
Bring one representative assignment and your approval rules. We’ll walk through sourcing, review and hand-off without assuming the platform fits every process.
Book a guided product evaluation