Findem searches talent by attributes rather than keywords, using workforce data to surface candidates who fit a role’s real success profile.
Findem builds a multi-dimensional picture of people from public workforce data — career trajectory, company context, skill signals — and lets recruiters search on the attributes that matter, such as “engineers who scaled a platform through a hypergrowth phase.” This attribute-based search goes beyond job titles to find talent that keyword queries miss, and it can be directed at passive candidates who never visit job boards. The platform also supports diversity analytics and pipeline marketing so sourcing connects directly to outreach.
Attribute search is especially powerful for hard-to-fill roles: instead of chasing title matches, recruiters describe success profiles and find people whose trajectories signal fit. Diversity analytics add structure to outreach goals, and dynamic pools keep prospects warm over long sales cycles typical of senior hiring.
Recruiters search around how success is earned — the environments people have navigated — rather than profile keywords. Dynamic pools suit long-cycle senior hiring: when a target changes roles or picks up a new skill, the search surfaces them again. Outreach analytics show which messages convert, letting sourcing strategy improve quarter over quarter.
The platform’s data refresh keeps profiles current, which matters when outreach depends on recent career moves. Diversity analytics support programs with measurable goals, and integrations keep sourced candidates visible to the whole recruiting team.
Findem is sold as an enterprise platform; pricing depends on seats and data scope and is arranged through the sales team.
Corporate talent teams and search firms sourcing hard-to-find technical and leadership talent competitively. It fits talent teams sourcing competitively for technical and leadership roles.