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Senior Recruiter

Zscaler - London, United Kingdom - In-office - posted 2026-08-03

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Zscaler is seeking a Senior Recruiter to join the People & Culture (Talent Acquisition) team, focusing on full-cycle recruiting for Sales and Account Executive roles across the EMEA region. This is a hands-on position dedicated to building high-caliber pipelines and driving end-to-end hiring excellence. Key responsibilities include owning full-cycle recruiting with business leaders across EMEA, from intake and calibration through final offer close. You will lead with proactive sourcing, building net-new pipelines via LinkedIn Recruiter, talent maps, and targeted campaigns to maintain 2–3x pipeline coverage per role. You'll partner directly with VPs, Directors, and Managers to forecast demand, define candidate profiles, calibrate market compensation, and advise on process trade-offs. You will drive structured, efficient hiring cycles by managing scorecards, interview plans, and data hygiene to ensure a high-quality candidate experience. Weekly pipeline health updates and status reports on openings are expected, with a focus on diagnosing and fixing bottlenecks to maintain hiring momentum. The ideal candidate has 5+ years of full-cycle recruiting experience in B2B SaaS with a strong understanding of cybersecurity, networking, and cloud technologies. You should have proven success sourcing and converting passive candidates using LinkedIn Recruiter and modern talent discovery tools, with a track record of meeting or exceeding goals for quality, time-to-fill, and offer acceptance while managing 8–12 concurrent searches. Proficiency in structured interview techniques, compensation fundamentals, and complex offer negotiations is essential. Preferred qualifications include experience hiring within the cybersecurity or networking industries across engineering, customer success, and G&A functions, as well as hands-on experience with sourcing enhancers like Gem or SeekOut and talent intelligence platforms. A foundational understanding of AI/ML technologies and experience leveraging AI-driven solutions to optimize outcomes is valued.

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