Senior AI Product Owner

• Own and refine the product backlog for an engineering team developing AI agents
• Translate business and user needs into product requirements, user stories, and acceptance criteria
• Clarify scope, prioritize functionality, resolve ambiguities, and keep implementation moving with engineering
• Configure, test, and validate agent behavior across relevant interaction channels
• Define test scenarios, user acceptance criteria, and exit criteria for agent releases
• Identify edge cases, failure modes, and risks associated with agents interacting with real consumers
• Ensure guardrails and expected behaviors are considered before release
• Support UAT, beta preparation, and feedback collection with Hibu stakeholders
• Use AI tools to improve product workflows while maintaining ownership of requirements quality and accuracy
• Collaborate with the Project Manager, other Product Owners, engineering, QA, and business stakeholders

• Direct experience configuring, testing, integrating, or shipping AI agents as part of a software product or workflow
• Ability to define acceptance and exit criteria, design test scenarios, evaluate agent behavior, identify failure cases, and determine release readiness
• Experience owning or actively managing a product backlog
• Experience writing requirements and user stories, defining acceptance criteria, and prioritizing features with engineering teams
• Practical understanding of LLMs, agent workflows, prompts, grounding, guardrails, AI services, limitations, and failure modes
• Understanding of APIs and system integrations
• Familiarity with MCP
• Understanding of Agile/Scrum sprint cadence, development workflows, and release processes
• Experience using AI tools to support product work
• Ability to review, correct, and validate AI-generated requirements
• Ability to gather missing information, make decisions within scope, remove blockers, and escalate when necessary

• Paid time off or vacation days
• Paid holidays, depending on the client and country
• Professional development and learning opportunities
• Ongoing support from the People Experience team
• Recognition initiatives and internal activities
• Remote-work flexibility
• Opportunities to collaborate with international teams
• Access to tools and resources that support your work
• Career growth opportunities based on performance, business needs, and available roles