The purpose of the study is to examine and ascertain how leadership and remuneration affect employee performance and job motivation. Explanatory and associative research methods with saturated samples are used. A Likert scale is used for data measurement, while path analysis is used for data processing. According to test results using standardized variables, leadership has a 23% greater overall influence on performance than other factors. The R2m value of 0.632 was derived from the calculation results. This means that 63.2% of the diversity of data in this research can be explained by the route analysis model, with the remaining 36.8% being explained by mistakes and other variables not included in the model.