Episode Details

What does it look like when sourcing stops being an art and becomes an engineered system? In this episode, we dig into real case studies from Celestica, Scale AI, and LinkedIn — and the numbers are genuinely surprising. We're talking 49% reply rates, roles open for over a year filled in 30 days, and 70% of hires coming from candidates already in the pipeline. The shift happening across the industry isn't just "use more AI." The companies pulling ahead are rebuilding sourcing as a product — with funnel conversion targets, automated multi-touch sequences, and reply-rate KPIs that look more like growth engineering than traditional HR. And the gap between teams doing this well versus teams still sending one-off InMails has never been wider. We break down the supervisor-agent architecture LinkedIn used to cut profile review time by 62% while boosting InMail acceptance by 69%, why Scale AI prioritized their silver medalists over net-new outreach, and what the benchmark data says about how many emails you actually need in a sequence. Plus — if you're a mid-market team that can't build an in-house TA engineering function, we cover how tools like OVI's Sora agent bring this same sourcing-as-product philosophy to teams hiring 10 roles, not a thousand. Starting at $99 a month.