The world’s largest curated marketplace for high-intent tech talent and engineering roles.
Hired is a leading AI-driven recruitment marketplace designed specifically for the technology sector. By 2026, Hired has solidified its position by leveraging proprietary machine learning models that match pre-vetted candidates with employers based on technical skills, salary expectations, and work preferences. Unlike traditional job boards where candidates apply to companies, Hired flips the model, requiring employers to apply to candidates with upfront salary offers. This ensures a high-intent ecosystem with a significantly lower noise-to-signal ratio. The technical architecture integrates deeply with major Applicant Tracking Systems (ATS) and utilizes natural language processing to parse resume data against real-world performance benchmarks. Acquired by LHH (part of Adecco Group), Hired now utilizes global labor market data to provide real-time salary benchmarking and diversity, equity, and inclusion (DEI) insights. For 2026, the platform focuses on 'Predictive Hiring,' using historical data to forecast a candidate's longevity and performance within specific organizational cultures, making it a critical tool for scaling engineering, DevOps, and data science teams efficiently.
Uses a vector-based embedding model to map candidate skill sets to job requirements, moving beyond keyword matching.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Option to redact names, photos, and gender-identifying information during the initial screening phase.
Aggregates millions of data points from the Hired marketplace to provide real-time compensation trends.
Machine learning agents that actively scout and invite high-intent passive talent to the platform.
Pre-built middleware for syncing candidate status between Hired and external HRIS systems.
Direct API hooks into platforms like Karat or HackerRank to view scores within the candidate profile.
Analyzes candidate feedback and engagement levels to predict the likelihood of offer acceptance.
Sourcing qualified developers across different time zones with high noise in applications.
Registry Updated:2/7/2026
Issue interview requests.
Minimizing downtime when a key infrastructure engineer leaves.
Overcoming unconscious bias in the top-of-funnel sourcing.