Thirty Capital LLC in Charlotte, NC has the following opening for a Product Owner.            

Summary of Duties: Manage the product plan and team toward timely completion of key milestones. Communicate product status and critical issues, and launch plans to stakeholders across the organization including management and external partners. Oversee the development and direction of research aimed at improving current products and generating ideas for new products and services. Research, evaluate and present assigned product ideas to senior leadership and seek approval for execution and launch. Collaborate with design, user experience,. and user interface teams to produce an efficient, cutting-edge experience. Monitor and optimize the performance of the company’s products, including conversion, close rate, retention and abandonment. Develop effective user stories and specification requirements (e.g., visual and written). Oversee the full product lifecycle by gathering client initiative requirements, leading development and execution tasks, and delivering successful features to market. Collaborate using the company’s platform to prioritize and develop features that enable products to better execute on their strategies. Present complex data and insights in an easily understandable format using enterprise and business intelligence visualization tools

Qualifications:  Position requires a Bachelor’s degree or its foreign equivalent in Computer Science or in a related field. Requires 2 years of experience with a Bachelor’s degree. Must have some experience in each of the following skills: Agile methodologies: Agile environments and Scrum or Kanban frameworks; Agile principles and ability to facilitate Agile ceremonies, including sprint planning, backlog grooming, and retrospectives; Business intelligence visualization tools: Sisense, Tableau, or PowerBI; User experience (UX) design: UX principles, wire-framing, and prototyping tools including Figma or Sketch; Data Preprocessing: Data cleaning, feature engineering, dimensionality reduction, and handling missing values and outliers; Model evaluation and optimization: Ability to evaluate and optimize Machine Learning models using techniques, including cross-validation, hyper-parameter tuning, and performance metrics; Machine Learning algorithms: Supervised and unsupervised learning algorithms, including regression, classification, decision trees, and clustering; Cloud computing: Cloud platforms including Amazon Web Services (AWS) along with Cloud architecture patterns, serverless computing, and containerization (Docker); API design and integration, including RESTful APIs, API versioning, documentation and API security; and Programming languages: Python and SQL.

To apply: Email resume to


This position has been filled.