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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing product backlogs and defining acceptance criteria for AI agents, ensuring quality and accuracy in requirements while collaborating effectively with cross-functional teams. Proficient in configuring, testing, and validating AI agent behavior across various interaction channels.
Highest-signal resume keywords
Product Backlog ManagementAI Agent ConfigurationAcceptance Criteria DefinitionAgile/Scrum MethodologiesUser Story Writing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent TestingTest Scenario DesignIntegration UnderstandingLLMs KnowledgeAPI FamiliarityRequirements WritingFeature PrioritizationFailure Mode IdentificationRelease Readiness EvaluationUser Acceptance Testing (UAT)
Soft Skills
Decision MakingCollaborationProblem SolvingCommunicationStakeholder Engagement
Tools & Technologies
AI ToolsMCP
Industry Keywords
Agile DevelopmentScrumProduct ManagementSoftware DevelopmentAI Services
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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