Senior AI Product Owner

Who We Are

At Jobsity, we believe great talent should not be limited by geography.

Jobsity is a nearshore staffing partner that connects leading U.S. companies with top talent in Latin America for software engineering, contact center operations, and BPO services. Our footprint spans over 20 countries across the Americas, and we deliver fully integrated, enterprise-ready teams.

From scaling specialized tech infrastructure to delivering bilingual front-line customer service, Jobsity provides an all-in-one staffing solution including recruitment, onboarding, payroll, compliance, and more.

Why Work With Jobsity

We match standout professionals across Latin America with high-impact opportunities at leading U.S. companies. Joining Jobsity is about finding a rewarding remote role and working with innovative teams. It also means you get to become part of a community that values your experience, supports your ambition, and invests in your ongoing professional growth.

Whether you are looking for your next challenge, seeking greater flexibility, or ready to elevate your career, Jobsity gives you the platform and partnership to thrive on your terms.

Job Description

We are looking for a Product Owner with hands-on experience in AI agents to manage the product backlog, translate business needs into clear requirements, and work closely with engineering teams to deliver reliable AI-powered solutions. The role focuses on configuring and validating agent behavior, defining acceptance criteria, identifying risks and edge cases, and ensuring agents meet quality and safety expectations before release.

Responsibilities

Own and refine the product backlog for an engineering team developing AI agents.

Translate business and user needs into clear product requirements, user stories, and acceptance criteria.

Work closely with engineering to clarify scope, prioritize functionality, resolve ambiguities, and keep implementation moving.

Participate directly in configuring, testing, and validating 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 appropriate guardrails and expected behaviors are considered before release.

Support user acceptance testing (UAT), beta preparation, and the collection of feedback with other Hibu stakeholders.

Use AI tools to improve product workflows while maintaining ownership of the quality and accuracy of requirements.

Collaborate with the Project Manager, other Product Owners, engineering, QA, and business stakeholders.

Key Requirements

Direct AI agent experience: Has participated in configuring, testing, integrating, or shipping AI agents as part of a software product or workflow.

Agent testing and validation: Can define acceptance and exit criteria, design test scenarios, evaluate agent behavior, identify failure cases, and determine readiness for release.

Product ownership: Has owned or actively managed a product backlog, written requirements and user stories, defined acceptance criteria, and prioritized features with engineering teams.

Technical understanding of AI: Understands how LLMs, agent workflows, prompts, grounding, guardrails, and AI services work in practice, including their limitations and potential failure modes.

APIs and system integrations: Understands how APIs and integrations work and can participate meaningfully in technical conversations with engineers. Familiarity with MCP is also expected.

Agile/Scrum delivery: Understands sprint cadence, development workflows, release processes, and how to keep an engineering team supplied with clear, actionable requirements.

AI-assisted product work: Has experience using AI tools to support product work and can review, correct, and validate AI-generated requirements rather than relying on unverifi