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We are seeking a highly analytical and strategically minded Product Owner (PO) for AI & Agentic Products to drive the vision, strategy, and execution of our AI-driven product portfolio. In this role, you will be 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. 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 "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
- Solid conceptual understanding of Generative AI, LLM capabilities (e.g., Google Gemini ecosystem), RAG (Retrieval-Augmented Generation), function calling, and multi-agent orchestration. You don't need to code it, but you must know how it works
- Proven ability to map business processes, identify operational bottlenecks, and quantify the return on investment (ROI) of automation features
- Comfort with managing product lifecycles for non-deterministic software (where AI outputs are not always 100% predictable)
- Extensive experience working as a Product Owner in Scrum or Kanban environments, using tools like Jira, Confluence, or Azure DevOps
- Proven track record of breaking down complex enterprise requirements into logical, incremental software delivery phases (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