Product Manager - AI Content Framework

We're looking for an analytical and strategic Product Manager for AI Content Framework to lead vision, strategy, and execution across our AI-driven product portfolio, acting as the connector between commercial stakeholders and our advanced AI engineering team.

Responsibilities

• Partner with business leaders, subject matter experts, and end-users to uncover and document detailed business requirements
• Apply an AI-informed lens to business problems, deciding whether deterministic software, traditional ML, or generative AI/agentic workflows offer the right solution
• Build and communicate a product roadmap that balances quick business wins against long-term architectural sustainability
• Break down major product features into detailed Work Breakdown Structures alongside the AI Development Lead
• Produce clear, value-focused Epics and User Stories, with Acceptance Criteria that reflect the unpredictable nature of AI outputs
• Curate and rank the product backlog according to ROI, user impact, and dependencies flagged by engineering
• Turn business rules and domain expertise into logic engineers can use for agent prompts, tools, and cognitive routing
• Set success metrics for AI agents together with engineering, covering benchmarks, evaluation datasets, and feedback loops
• Represent the customer's perspective in standups, sprint planning, and sprint reviews

Requirements

• 10-15 years of IT experience, including a strong background in Product Management with ownership of roadmaps and vision
• Solid history serving as Product Owner or Product Manager within Agile or SAFE frameworks
• Working knowledge of Generative AI, LLMs, RAG, function calling, and multi-agent orchestration
• Familiarity with AI Solutions design and AI Content Framework development
• Ability to manage AI-related risks
• A track record of mapping processes, spotting bottlenecks, and calculating automation ROI
• Experience handling non-deterministic software lifecycles where AI behavior isn't always predictable
• History of turning large enterprise requirements into staged, incremental deliveries via MVP methods
• Skill in bridging technical AI limitations and business context for different audiences

Nice to have

• Experience as Product Owner or Manager for data science, ML, or generative AI offerings
• CSPO or PSPO certification
• A Business or Systems Analysis background with later focus on AI/ML