Product Manager - AI Content Framework

We are seeking a highly analytical and strategically minded Product Manager for AI Content Framework to drive the vision, strategy, and execution of our AI-driven product portfolio, serving as the bridge between commercial stakeholders and our advanced AI engineering team. Responsibilities Collaborate with business leaders, domain experts, and end-users to discover, define, and document comprehensive business requirements Evaluate business problems through an AI lens to determine whether they are best solved via deterministic software, traditional ML, or generative AI/agentic workflows Define, maintain, and communicate the product roadmap, balancing short-term business wins with long-term technical architecture sustainability Partner with the AI Development Lead to deconstruct high-level product features into comprehensive Work Breakdown Structures Write highly descriptive, value-driven Epics and User Stories, and define clear Acceptance Criteria that account for the non-deterministic nature of AI outputs Own, groom, and prioritize the product backlog based on ROI, user impact, and technical dependencies defined by the engineering lead Translate complex business rules and industry domain knowledge into logic that AI engineers can use to build agent prompts, tools, and cognitive routing Work with the engineering team to define success criteria for AI agents, helping establish performance benchmarks, evaluation datasets, and user feedback loops Participate in daily standups, sprint planning, and sprint reviews, acting as the voice of the customer Requirements 10-15 years of overall experience in IT, with a proven track record in Product Management, owning Product Roadmap and Product Vision Extensive experience working as a Product Owner or Product Manager in Agile or SAFE environments Understanding of Generative AI, LLM capabilities, RAG, function calling, and multi-agent orchestration Knowledge of AI Solutions and AI Content Framework development Competency in AI Risk management Proven ability to map business processes, identify operational bottlenecks, and quantify the ROI of automation features Comfort with managing product lifecycles for non-deterministic software where AI outputs are not always fully predictable Proven track record of breaking down complex enterprise requirements into logical, incremental software delivery phases using an MVP approach Exceptional ability to explain technical AI constraints to business users and business nuances to technical engineers Nice to have Prior experience acting as a Product Owner or Product Manager for data science, machine learning, or generative AI products Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO) designation Background in Business Analysis or Systems Analysis with a later specialization in AI/ML products