Software dynamic translation (SDT) is a powerful technology that enables software malleability and adaptivity at the instruction level by providing facilities for run-time monitoring and code modification. SDT has been used as the basis for many valuable tools, including dynamic optimizers, profilers, security policy enforcement, and binary translation to name a few. However, modern object-oriented programming techniques and their implementations (e.g., virtual functions, exceptions, dynamic code, etc.) pose unique challenges to high performing SDT systems. In this paper, we present Metaman, a generalized program metadata manager that stores and manages program information so that it can be efficiently accessed by emerging SDT systems to improve overall runtime performance of a managed executable. Using the information collected by Metaman, the run-time performance of an existing SDT system was improved by 22% making its execution speed only 3% slower than native (i.e., non-managed) execution.