The AI-Native Recruiter (Paperback). Este artículo no está disponible.
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Vendedor de IberLibro desde 29 de junio de 2022
Condición: Nuevo
EUR 33,51
Descripción del artículo del vendedor
Paperback. The "post and pray" era of recruiting is dead. Are you still using a legacy ATS to hunt for tomorrow's top tech talent? For over a decade, the Applicant Tracking System has been the center of the recruiter's universe-a digital filing cabinet built for an era of abundant, active job seekers. But in the hyper-competitive tech landscape of 2026, the best engineers aren't browsing job boards. They are passive, heads-down, and actively ignoring generic LinkedIn InMails. In The AI-Native Recruiter, talent strategist David Maiolo delivers a paradigm-shifting blueprint for dismantling your outdated tech debt and architecting a modern, automated "AI Engagement Stack." This book is your definitive guide to moving from a reactive administrator to a proactive, data-driven intelligence officer. Inside, you will learn how to: Kill the Boolean String: Stop wrestling with brittle search syntax and harness the power of semantic, Natural Language AI to uncover hidden talent based on context, not just keywords.Master Waterfall Enrichment: Abandon single-source data providers. Learn the "Clay Method" to cascade through multiple APIs and uncover verified personal emails for hard-to-reach candidates.Engineer Hyper-Personalized Outreach: Use Large Language Models (LLMs) to mine digital footprints-from GitHub commits to podcast quotes-and craft authentic, peer-to-peer cold emails that elite engineers actually answer.Automate Algorithmic Scoring: Eliminate the cognitive load of manual resume reviews. Build an unbiased, data-driven scoring matrix that instantly identifies the highest-probability candidates.Deploy AI Meeting Assistants: Close the "context gap" in interviews by letting AI handle the note-taking, generate objective scorecards, and analyze your talk-to-listen ratio.Whether you are a solo agency recruiter, a startup founder, or a talent acquisition leader at a global enterprise, the future of hiring belongs to those who can seamlessly blend machine scale with human empathy. Stop competing with the algorithm. Read The AI-Native Recruiter and start commanding it. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …
N° de ref. del artículo 9798188057527
- Título
- The AI-Native Recruiter (Paperback)
- Autor
- David Maiolo
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798188057527
For over a decade, the Applicant Tracking System has been the center of the recruiter’s universe—a digital filing cabinet built for an era of abundant, active job seekers. But in the hyper-competitive tech landscape of 2026, the best engineers aren't browsing job boards. They are passive, heads-down, and actively ignoring generic LinkedIn InMails.
In The AI-Native Recruiter, talent strategist David Maiolo delivers a paradigm-shifting blueprint for dismantling your outdated tech debt and architecting a modern, automated "AI Engagement Stack." This book is your definitive guide to moving from a reactive administrator to a proactive, data-driven intelligence officer.
Inside, you will learn how to:
- Kill the Boolean String: Stop wrestling with brittle search syntax and harness the power of semantic, Natural Language AI to uncover hidden talent based on context, not just keywords.
- Master Waterfall Enrichment: Abandon single-source data providers. Learn the "Clay Method" to cascade through multiple APIs and uncover verified personal emails for hard-to-reach candidates.
- Engineer Hyper-Personalized Outreach: Use Large Language Models (LLMs) to mine digital footprints—from GitHub commits to podcast quotes—and craft authentic, peer-to-peer cold emails that elite engineers actually answer.
- Automate Algorithmic Scoring: Eliminate the cognitive load of manual resume reviews. Build an unbiased, data-driven scoring matrix that instantly identifies the highest-probability candidates.
- Deploy AI Meeting Assistants: Close the "context gap" in interviews by letting AI handle the note-taking, generate objective scorecards, and analyze your talk-to-listen ratio.
Whether you are a solo agency recruiter, a startup founder, or a talent acquisition leader at a global enterprise, the future of hiring belongs to those who can seamlessly blend machine scale with human empathy.
Stop competing with the algorithm. Read The AI-Native Recruiter and start commanding it.
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