Abstract: This study explores the optimization of talent acquisition within organizations, focusing on enhancing recruitment efficiency and job satisfaction. In a competitive business landscape, effective talent acquisition is crucial for organizational success, necessitating innovative, data-driven approaches to streamline recruitment processes. The research examines key strategies and tools that organizations can leverage, including AI, recruitment automation, and data analytics, to reduce hiring time and costs while ensuring alignment with organizational culture. The study highlights the importance of job satisfaction, emphasizing that recruitment should not only fill positions but also ensure new employees are satisfied with their roles. Through a comprehensive analysis of the software development industry, particularly Organisation, the research identifies best practices and technological innovations that can improve recruitment outcomes. The findings reveal a predominantly young and educated workforce, with significant correlations between employer branding and recruitment challenges. Recommendations include strengthening employer branding, enhancing technology integration, and focusing on career development to retain talent. Overall, the study underscores the need for organizations to adopt strategic talent acquisition practices to remain competitive and foster a satisfied, engaged workforce.
Key words: Talent Acquisition, Recruitment Optimization, Recruitment Efficiency, Job Satisfaction Hiring Process, Candidate Experience.
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DOI:
10.17148/IARJSET.2025.12494