
Senior AI Product Owner
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in Latin America.
• Take ownership of and enhance the product backlog for an engineering team focused on AI agents.
• Convert business and user requirements into product specifications, user narratives, and acceptance benchmarks.
• Clarify project scope, prioritize features, resolve uncertainties, and ensure smooth implementation alongside engineering teams.
• Set up, evaluate, and confirm agent performance across various interaction channels.
• Establish test scenarios, user acceptance standards, and exit criteria for agent deployments.
• Identify edge cases, potential failures, and risks linked to agents interacting with actual consumers.
• Ensure that guardrails and expected behaviors are taken into account prior to release.
• Assist in user acceptance testing (UAT), beta launch preparations, and feedback collection with Hibu stakeholders.
• Leverage AI tools to enhance product workflows while upholding the quality and accuracy of requirements.
• Collaborate with the Project Manager, fellow Product Owners, engineering, quality assurance, and business stakeholders.
• Proven experience in configuring, testing, integrating, or launching AI agents as part of a software product or workflow.
• Capability to define acceptance and exit benchmarks, design testing scenarios, assess agent performance, identify failure points, and evaluate release readiness.
• Experience in owning or actively managing a product backlog.
• Proficient in writing requirements and user stories, defining acceptance criteria, and prioritizing features in collaboration with engineering teams.
• Solid understanding of large language models (LLMs), agent workflows, prompts, grounding, guardrails, AI services, limitations, and failure modes.
• Knowledge of APIs and system integrations.
• Familiarity with MCP.
• Understanding of Agile/Scrum sprint cycles, development workflows, and release protocols.
• Experience utilizing AI tools to assist in product initiatives.
• Ability to review, correct, and validate requirements generated by AI.
• Competence in gathering missing information, making scope-related decisions, removing obstacles, and escalating issues as needed.
• Paid time off or vacation days.
• Paid holidays, varying by client and country.
• Opportunities for professional development and learning.
• Continuous support from the People Experience team.
• Recognition initiatives and internal events.
• Flexibility for remote work.
• Opportunities to work with international teams.
• Access to tools and resources that facilitate your work.
• Career advancement opportunities based on performance, business requirements, and available roles.
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