AI native hiring.
For companies building the team they imagined — backed by an intelligence that understands every candidate before you do.
Hiring is broken on both sides. Companies pay a 15–20% tax for filtered inboxes. Candidates apply into the void. For the first time, both sides are ready to remove the human in the middle.
The Platform
Where hiring teams
build their dream team.
Profiles analyzed
0
Maximilian F.
Staff Engineer · Berlin
Aleksandra S.
Backend Lead · Warsaw
Théo R.
Principal Engineer · Paris
Brief Staffer once. It searches across a billion profiles, scores them against your rubric, and hands you a shortlist with reasoning for every score.
Explore the platformThe Portal
A career copilot,
built for the AI hiring era.
Match score
0%
Senior fintech · EU
Skills
Experience
Staff Engineer
Endor · 2023 — Now
Senior Engineer
DNB · 2020 — 2023
Portfolio
12
Candidates build a profile from real work, get matched to roles, connect with companies, and track every hiring process — résumé polish, career predictions, and outreach handled for them.
Explore the portalTwo sides. One graph. Platform sees what hiring teams reach for. Portal sees what candidates actually move toward. Both flow into the same place, and that’s what makes hiring fixable — the graph knows which roles the right people would take, before either side has to ask.
Talent Intelligence
One graph.
Always learning.
Manta is the shared data layer underneath the Platform and the Portal. 1B+ profiles, 75M+ companies, 425M+ job postings — continuously refreshed for every brief, so each match gets sharper the more both sides use Staffer.
Explore the intelligenceBoth sides agree.
- MRET
“Every shortlist comes with the reasoning attached. It's made our hiring meetings shorter and the decisions easier to defend.”
Åse Mari Hidem
COO · MRET
- Eiendom.no
“We brought commercial hiring back in-house this year. The precision is what changed my mind on agencies, and I don't miss the invoices either.”
Ludvik Blom
CRO · Eiendom.no
- Candidate
“Most recruiters skim my LinkedIn for ten seconds. This was the first process where someone actually looked at how I sell.”
Omid Aboui
Account Executive · San Francisco
- Candidate
“I don't have a degree, which usually filters me out before page one. Here, someone read the projects I'd actually shipped.”
Marcus Oliver Bloom
Marketing & AI Architecture · Oslo
Compliance
Built for the audit.
Hiring data is some of the most sensitive data your company holds. Staffer’s security model is built for that reality, not retrofitted around it.
Compliance overview01
Reasoning, not guesses
Every score links to the criteria and signals that fed it.
02
Humans decide
No AI hires, rejects, or makes offers. Always a named human.
03
Audit trail per decision
Every score, message, and status change is logged with the user behind it and the reasoning behind it.
04
Your data, isolated
Tenant-isolated. Never used to train shared models.
Built for the team
you’re becoming.
Are you a candidate? Build your career profile ↗




