Describe the hire
Start in natural language, structured fields, or with a JD. Recruiter-entered requirements remain distinct from search expansion.
Describe who you need, review exactly what SourcingOS understood, then search and inspect people without turning AI suggestions into hidden requirements or black-box scores.
The product should feel like a sourcing copilot: understand the role, let you correct it, find people, and keep the search editable after results arrive.
Start in natural language, structured fields, or with a JD. Recruiter-entered requirements remain distinct from search expansion.
See titles, must-haves, preferences, geography, seniority, and suggested expansion before candidate sources run.
SourcingOS executes supported public-source lanes and labels guided or unavailable sources honestly.
See why each person surfaced, which requirements have evidence, what remains unknown, and what needs verification.
Move strong people into a role, inspect Candidate 360, or adjust the search without rebuilding the entire brief.
Experienced sourcers should not have to choose between a ChatGPT-style brief and recruiter-grade field control.
Describe the person, constraints, target market, or what went wrong with the last pass. SourcingOS turns that into editable search structure.
Titles, skills, location, seniority, companies, industries, clearance, tenure, open-to-work, and contact history stay visible as recruiter-controlled fields.
Extract role evidence from a JD or use a resume as a similarity seed without silently converting resume facts into hiring requirements.
Candidate review is organized around evidence coverage, unknowns, source provenance, identity confidence, and recruiter action — not a single opaque match percentage.
Public engineering evidence + recruiter-reviewed identity context.
Use the recruiter workspace if you already have access, or request the private beta and try the free tools while you wait.