Senior AI Product Owner

Job not on LinkedIn

🔥 0 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 10%

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Jobsity

201 - 500 employees

Founded 2012

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Jobsity is a nearshore IT staffing and BPO services company that provides pre-vetted, dedicated software developers and support staff across the software development lifecycle. They deliver end-to-end hiring solutions—handling recruitment, onboarding, payroll, equipment, and employment law—while matching talent in overlapping time zones from 20+ Latin American countries to act as extensions of client teams.

📋 Description

• 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

• 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

• 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

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