Back to SearchProduct Manager - AI Content Framework
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We are seeking a highly analytical and strategically minded Product Manager for AI & Agentic Products to drive the vision, strategy, and execution of our AI-driven product portfolio.
In this role, you will serve as the bridge between commercial stakeholders and our advanced AI engineering team.
You must possess a deep understanding of business domains alongside a strong technical grounding in Artificial Intelligence, Large Language Models (LLMs), and autonomous agent workflows. Working closely with our AI Development Lead, you will translate high-level business requirements into granular user stories, actively participate in building Work Breakdown Structures (WBS), and ensure the engineering team is building AI solutions that deliver measurable business impact.
- Collaborate with business leaders, domain experts, and end-users to discover, define, and document comprehensive business requirements
- Evaluate business problems through an AI lens—determining whether a problem is 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 (WBS)
- Write highly descriptive, value-driven Epics and User Stories with 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 what success looks like for AI agents, helping establish performance benchmarks, evaluation datasets, and user feedback loops
- Actively participate in daily standups, sprint planning, and sprint reviews, acting as the ultimate voice of the customer
- 10-15 years of experience in Product Management, including defining Product Vision and owning the Product Roadmap
- Expertise in Agile or SAFe frameworks, with extensive experience working as a Product Owner in Scrum or Kanban environments
- Understanding of AI Solutions, AI Content Framework, and AI Risk Management
- Knowledge of Generative AI, LLM capabilities (e.g., Google Gemini ecosystem), and RAG (Retrieval-Augmented Generation)
- Familiarity with function calling and multi-agent orchestration concepts (no coding required, but strong conceptual grasp is essential)
- Proven ability to map business processes, identify operational bottlenecks, and quantify the ROI of automation features
- Capability to manage product lifecycles for non-deterministic software where AI outputs are not always 100% predictable
- Proficiency in Jira, Confluence, or Azure DevOps
- Showcase 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
- English proficiency at an Upper-Intermediate level (B2) or higher
- 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