Maintain roadmaps and product backlogs across AI products, coordinate refinement and sprint planning, sequence engineering work, track dependencies and UAT, and align Product, Delivery, and Engineering through release. The role requires practical knowledge of GenAI, LLMs, and agentic AI, strong organization, clear communication, and attention to work-item quality, estimates, acceptance criteria, and reporting.

Own a core AI product by translating client and business needs into validated specifications, AI-assisted prototypes, sprint-ready backlogs, user stories, acceptance criteria, and product documentation. Manage Azure DevOps backlog processes, support Agile ceremonies, incorporate user feedback, and contribute to release communications and go-to-market materials. Collaborate with product, delivery, technical, engineering, and client stakeholders while applying practical knowledge of GenAI, LLMs, RAG, agentic AI, SaaS development, and release management.