In line with the recent literature, the aim of this article is to adopt a psychological approach to understand how technology is subjectively perceived and experienced at work, where the use of technology is seldom an individual choice, as well as its effects on employee's well-being. This study aims to adopt a person-centered approach to create clusters of technology appraisal, explain such clusters' membership through sociodemographics, and use these clusters to predict work-related well-being outcomes. In a sample of 692 Swiss working adults (M age = 39.56, SD = 12.45, 60% female) active in both private and public sectors, this study first analyzed clusters of technology appraisal taking into account perceived usefulness, ease to use, and limitation of autonomy using a TwoStep cluster analysis. Then, these clusters' membership was predicted by sociodemographic and individual characteristics (i.e., age, sex, education level, and generalized self-efficacy) using a multinomial logistic regression. Finally, differences in burnout, work engagement, and job boredom between clusters were examined using analyses of variance. Three different clusters of technology appraisal were found: The Tech-Enthusiasts, the Tech-Ambivalents, and the Tech-Detractors. Age, sex, educational level, and self-efficacy predicted clusters' membership. Differences in burnout and work engagement were found between the clusters. No difference was found in boredom between the clusters. These findings highlight the importance of developing relevant and inclusive interventions to promote well-being and equality at work.