Physical appearance, particularly facial attractiveness, plays a significant but context- sensitive role in workplace evaluations. While the “what is beautiful is good” stereotype suggests a universal beauty premium effect in organizational settings, recent research has shown that additional facial traits, such as trustworthiness, competence, gender, and age, also shape judgments, and their effects vary by occupational context. This study inves- tigates how both appearance- and competence-based visual traits influence perceived job suitability across client-facing and back-office roles in two industries: finance and retail. A total of 376 participants rated 817 hyper-realistic synthetic faces, generated using Style- GAN2, on their suitability for four roles: Financial Advisor, Risk Analyst, Retail Sales Associate, and Inventory Manager. Predictive models trained on these ratings were used to estimate trait scores of perceived job suitability and facial traits for novel faces and ana- lyze their associations. The client-facing Retail Sales Associate role was strongly associated with attractiveness-based traits, while both back-office roles and the client-facing Financial Advisor prioritized competence-based traits, with appearance-based traits showing weaker or negative correlations. These findings suggest that the influence of facial traits on per- ceived job suitability depends more on the industry context than on whether a role involves client-facing interactions. The findings challenge the notion of a uniform beauty premium and emphasizes the need for bias-conscious hiring practices and theoretical frameworks that account for contextual variability in impression formation.