A joint measure-preserving system is \((X, \mathcal {B}, \mu _{1}, \dots , \mu _{k}, T_{1}, \dots , T_{k})\) , where each \((X, \mathcal {B}, \mu _{i}, T_{i})\) is a measure-preserving system and any \(\mu _{i}\) and \(\mu _{j}\) are mutually absolutely continuous probability measures. Such a system is called pointwise jointly ergodic if, for any set of bounded measurable functions \(f_{1}, \dots , f_{k}\) on X, the multilinear ergodic average of their joint action under the transformations \(T_{1}, \dots , T_{k}\) converges almost everywhere to the product of their integrals with respect to the corresponding measures. In this paper, we extend the classical Wiener-Wintner ergodic theorem to the setting of pointwise jointly ergodic systems with nilsequences weight. Additionally, we provide applications that include results on the mean convergence of weighted ergodic averages and the almost everywhere convergence of ergodic averages taken along subsequences of the form \(\lfloor \alpha n \rfloor \) , where \(\alpha \ge 1\) .
