The story in three acts
This 80-person SaaS scale-up, headquartered in Douala, deploys its product across FR (Senegal, Ivory Coast, Cameroon) and EN markets (Ghana, Nigeria, Kenya). The 2026 roadmap required growing from 18 to 42 engineers in 6 months, 2.3x the technical team.
The critical mandate: every engineer had to be bilingual FR/EN to work with clients across both zones. Profiles are rare: under 15% of technical applications in francophone Africa meet the bilingual criterion with truly operational English.
The HR team (1.5 people) had previously tried two different ATS (one in French, one in English), creating pipeline duplication, process conflicts, and a low 54% offer acceptance rate (top candidates went elsewhere).
Edomatch replaced both ATS with a single natively bilingual platform. Recruiters manage FR and EN pipelines in the same UI; candidates get a translated experience in their preferred language at every step.
AI Matching identifies bilingual profiles semantically (not via "english" keyword search). The algorithm analyzes the consistency of English-written resumes by francophone candidates and flags true bilinguals. Estimated 60% precision gain on this criterion vs keyword filtering.
Assessment & AI Interview evaluates operational English level with an async video question recorded in the working language. Recruiters filter out in 8 minutes candidates who claimed "bilingual" on their resume but can't hold a technical conversation.
The collaborative pipeline lets tech managers based in Douala, Yaoundé and Lagos (English-speaking subsidiary) score the same candidates in the same UI, with no sync meetings.
