Case Study: Plume achieves a 10x increase in high-quality candidate pipeline with Findem

A Findem Case Study

Preview of the Plume Case Study

How Plume uses attribute-based candidate sourcing to fill the pipeline with more great talent

Plume, a Palo Alto–based smart-home cloud and AI software company, was in high-growth mode—doubling revenue and needing to double headcount within a year—while hiring many machine-learning and AI engineers with prior fast-growing SaaS experience. Their existing stack (LinkedIn, Indeed, Glassdoor, etc.) required 5+ hours per role, produced 80–90% poor-fit candidates, and lacked integrated outreach, so Plume turned to Findem’s attribute-based candidate sourcing and automated outreach platform.

Findem provided attribute-based searches, instant shortlists, and personalized automated drip campaigns that let Plume narrow to candidates with the right skills, startup mentality, and high-growth experience. As a result, Plume saw a 10x increase in the volume of high-quality candidates, saved about 1.5 days per week per recruiter, reduced unnecessary phone screens by at least 30%, accelerated hiring cycles, and now reports roughly 90% of Findem-sourced candidates are interview-worthy.


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Plume

Jean Bastiste

Director of Staffing


Findem

23 Case Studies