
The European VC (EUVC)
Jack and Jill reimagines recruitment by deploying voice‑driven AI agents—Jack for candidates and Jill for employers. Rather than layering generic automation onto existing workflows, the duo creates deep, conversational interactions that extract nuanced career preferences and hiring criteria. This agentic approach filters the flood of applications and uncovers hidden talent, delivering high‑signal introductions that traditional job boards miss. By integrating email, WhatsApp, and web interfaces, the platform keeps users in their preferred communication channels while the AI continuously scans global listings, coaches interview prep, and facilitates direct matches.
The founders’ journey underscores a disciplined search for purpose and scale. Matthew Wilson, after exiting his previous venture Omnipresent, spent 18 months vetting ideas that aligned with personal passion, global impact, and a defensible category. Partnering with Saras, they identified a market inflection point where AI’s voice capabilities could finally resolve recruitment’s chronic signal‑to‑noise problem. Their eight‑month sprint from concept to launch was fueled by a clear conviction that a two‑sided marketplace, powered by agentic AI, could outperform legacy recruiters plagued by conflict‑of‑interest incentives. Creandum’s Peter Specht recognized this alignment, citing founder expertise, rapid‑pace background, and a massive, underserved hiring market as key conviction drivers.
Investors and industry observers should note how Jack and Jill’s network effects differentiate it from pure automation tools. Each successful placement enriches both candidate and employer pools, strengthening the AI’s recommendation engine and creating a virtuous cycle of relevance. The $20 million seed round provides the runway to scale globally, refine voice models, and deepen marketplace liquidity. As AI recruitment matures, solutions that blend human‑like conversation with data‑driven matching—while preserving distinct candidate and employer interests—are poised to become the new standard, reshaping talent acquisition across continents.
This week on the EUVC Podcast, Andreas Munk Holm sits down with Matthew Wilson, co-founder of Jack & Jill, and Peter Specht, General Partner at Creandum. Fresh off a $20M seed to take their AI recruiting agents global, they dig into how conviction is built in Europe, from founding insight to investor belief, and what it now takes to scale an agent-native company with speed, precision, and craft.
Jack helps candidates find and optimize their careers. Jill helps companies hire brilliantly. Together, the two agents form a high-signal, two-sided network that aims to become the world’s most networked AI-powered recruitment agency — without the classical incentive conflicts of human middlemen.
Here’s what’s covered:
02:35 | Why Creandum leaned in, conviction on voice-based interfaces and why recruiting is a massive, broken vertical for agent AI
03:38 | The founding moment: leaving Omnipresent, 18 months in the wilderness, and the February insight that agents make talent marketplaces finally viable
07:07 | Recruiting is broken (and AI made it worse): why first-principles thinking is needed to avoid “more noise, not more signal.”
09:15 | Investor conviction: founder/market fit, why this moment is different, and the defensibility of a two-sided agentic marketplace
12:22 | The user experience: the “coffee chat” with an AI recruiter: deep voice conversation → matching, prep, coaching, introductions
16:30 | Solving the incentives trap: why Jack works 100% for candidates and Jill works 100% for companies (fixing agency conflicts)
19:10 | Coaching as core: how AI unlocks career guidance, interview prep, and hands-on support that humans rarely get today
22:47 | Building fast in the AI era: talent density, global expansion, and why a 20M seed makes sense for a dual-product marketplace
26:35 | Two companies in one: scaling Jack (consumer) + Jill (B2B) simultaneously, across markets, with AI leverage
34:02 | The GTM playbook: engineering-led marketing, AI-driven creative testing, instant value, and rethinking B2B buying entirely
37:47 | The new AI go-to-market: speed, PLG dominance, virality-by-design, and why distribution now matters more than ever
43:52 | Two GTM worlds: viral AI products vs. slow, enterprise-heavy AI deployments (and why both will coexist)
47:15 | The “productization” of marketing — why engineering now powers growth, not headcount-heavy marketing orgs
50:29 | Final advice (VC POV) — start with a unique insight, not a trend; think in 5–10 year arcs, not quick ARR bumps
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