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.

• 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

• 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

• 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