UBS Global Technology and AI Conference
Logotype for ZipRecruiter Inc

ZipRecruiter (ZIP) UBS Global Technology and AI Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for ZipRecruiter Inc

UBS Global Technology and AI Conference summary

12 Jan, 2026

Business overview and technology evolution

  • Operates a two-sided online marketplace matching employers and job seekers using proprietary algorithms and data from billions of interactions over 15 years.

  • Evolved from simplifying job postings to advanced candidate matching, leveraging behavioral data from both job seekers and employers.

  • Uses AI and machine learning for incremental improvements, focusing on engagement metrics such as increased job seeker reach and application rates.

  • Introduced Phil, a digital assistant, to personalize the job search experience and collect richer candidate data.

  • Integrates generative AI to help create resumes and job descriptions, aiming to reduce friction in the hiring process.

Market landscape and competitive differentiation

  • U.S. recruiting market estimated at $300B TAM, with the online segment at $15B and growing faster than offline.

  • Competes mainly with LinkedIn and Indeed in the online space, differentiating by flipping the process so employers reach out to job seekers.

  • Focuses on a personalized, white-glove experience for job seekers, unlike traditional search-based platforms.

  • Technology enables scalable, curated candidate recommendations and action prompts for both employers and job seekers.

  • Offers a cost-effective alternative to offline recruiters, with potential to capture more TAM over time.

Monetization, pricing, and new products

  • Enterprise clients pay primarily on a cost-per-click basis, determined by market demand and job type.

  • SMBs are charged per job per day or via monthly job slot subscriptions, valuing price certainty.

  • Launched ZipIntro, enabling rapid employer-candidate interactions, and enhanced the resume database with semantic search, boosting engagement and planned for future monetization.

  • Revenue per paid employer has grown at a 14% CAGR, reflecting successful value extraction from new features.

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