NBCUniversal's Product and AI Solutions team within the Content Core business builds AI-enabled products and provides solutions that help teams across departments work more effectively and make better-informed decisions. You are a curious, organized, and technically minded Product Specialist to support the development and delivery of these products. In this role, you will work within well-defined parameters and partner with Product Managers, engineers, data professionals, and business stakeholders to turn straightforward needs into clear product requirements, documentation, testing activities, and product updates. You will receive guidance and mentorship from experienced team members while building foundational product management, data, and AI skills. This is a hands-on opportunity for someone early in their product career who is eager to learn how enterprise data and AI products move from discovery through delivery and adoption. Responsibilities: Support Product Managers in gathering and documenting business needs, functional requirements, user stories, and measurable acceptance criteria for data- and AI-enabled products. Assist with maintaining product roadmaps, feature backlogs, status updates, release notes, process documentation, and other materials that keep product work clear and organized. Partner with engineering, data, analytics, design, and business teams to support assigned product activities and help ensure requirements are understood. Perform structured product testing, document results, verify straightforward data and workflow outcomes, and raise defects or concerns to the appropriate team members. Review basic product usage, data-quality, and stakeholder feedback signals to help the team identify opportunities for product improvement. Support product demonstrations, working sessions, and stakeholder touchpoints by preparing materials, capturing decisions, and tracking follow-up actions. Learn the capabilities, limitations, and responsible-use considerations of the data platforms, AI technologies, and products supported by the team. Identify and escalate risks, roadblocks, data-quality concerns, privacy questions, or unclear requirements to Product Managers and other experienced team members. Build stable working relationships across the team and exchange clear, timely information with colleagues, project leads, and immediate supervisors. Contribute to product documentation and team practices that support consistent, secure, scalable, and user-centered delivery.