The evolving fifth generation (5G) cellular wireless networks provide higher data rates, enhanced end-user quality-of-experience (QoE), reduced end-to-end latency, and lower energy consumption. The 5G networks will consist of macrocells, femtocells and picocells with heterogeneous characteristics and capacities which will result in a multi-tier architecture. Hence, interference is one of the main problems in such systems and it will cause degradation in the system performance. Interference alignment techniques can be used to solve this problem. In this paper, a proposed cross-tier interference management algorithm for coexisting two-tier networks is introduced. First at each receiver, we calculate the sum of the square of the channel gains from each macro user to this receiver and the average of those sum values is taken as a threshold. Macro users whose sum values are greater than this threshold are selected and aligned at the femto receiver. This alignment is done by using precoders at the transmitters. In the proposed algorithm, the subspace in which the interference signals would be aligned is identified then a distributed algorithm is applied to identify the precoders needed at the selected interferers. Numerical results demonstrate the effectiveness of selective interference alignment for uplink interference management. The Cumulative Distribution Function (CDF) is used to measure the system performance.