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Staffer is an AI-native hiring platform built to help scaling teams hire great talent, fast. It’s two-sided: one platform for companies hiring, and a free, portable profile for candidates being hired. Sourced, applied, or matched, every candidate ends up in the same portal, personalized to them. AI handles the admin from sourcing to scheduling, so recruiters spend their time on people, not process. Built AI-native from day one, Staffer replaces the patchwork of legacy tools most teams duct-tape together, and plugs straight into the systems you already trust.

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Why it’s different

Most hiring tools added AI on top of an existing CRM or ATS. Staffer was rebuilt around it: the chat is the recruiter’s workspace, not a sidebar bolted onto a pipeline board, and every candidate owns one persistent profile instead of filling out a new form for every company they talk to.

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Built on trust, not a black box

  • Reasoning, not guesses. Every match score decomposes into the specific criteria and evidence behind it.
  • Humans decide. No AI hires, rejects, or makes an offer. A named person always does.
  • Bias tested monthly, with fixes shipped, not just reported.
  • Your data, isolated. Workspace data is tenant-isolated and never used to train a shared model.
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