Product Owner

Ntara

Product Owner leading internal AI roadmaps, backlogs, and adoption at Ntara, a PXM consultancy. Driving responsible AI initiatives across business, data, and engineering teams from discovery through delivery.

Posted 8/7/2026full-timeRemote • 🇬🇹 GuatemalaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and maintaining product vision and strategy for AI initiatives, with a strong focus on Agile methodologies and change management. Proficient in translating business needs into actionable AI product roadmaps and facilitating collaboration among diverse stakeholders.

Highest-signal resume keywords

Product Roadmap OwnershipAI and Machine Learning ExperienceAgile Project ManagementStakeholder CommunicationChange Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ConceptsMachine LearningGenerative AIBacklog ManagementUser Story WritingAcceptance Criteria DefinitionData GovernanceData QualityPrompt DesignModel Evaluation

Soft Skills

FacilitationCollaborationCommunicationProblem-SolvingStakeholder Engagement

Tools & Technologies

JiraAzure DevOpsAgile ToolsPIM PlatformsDAM Platforms

Certifications & Qualifications

Agile CertificationCSPOPSPO

Industry Keywords

AI InitiativesAutomation OpportunitiesProduct ManagementChange EnablementResponsible AI Principles

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Define and maintain the product vision, strategy, and roadmap for Ntara’s internal AI initiatives aligned with company goals.
Identify, evaluate, and prioritize AI and automation opportunities that improve internal processes, delivery quality, or client outcomes.
Translate ambiguous business problems and emerging AI capabilities into sequenced initiatives.
Own and groom the product backlog, including epics, features, user stories, and acceptance criteria.
Facilitate sprint planning, backlog refinement, reviews, and retrospectives.
Make prioritization decisions balancing technical feasibility, data readiness, business impact, and effort.
Serve as the primary point of contact for delivery teams and clarify requirements.
Bridge business stakeholders, engineers, data scientists, and leadership.
Facilitate discovery sessions and define requirements, workflows, and success metrics for AI use cases.
Present roadmap updates, demos, and outcomes to stakeholders and leadership.
Gather internal user feedback and adjust the backlog and roadmap.
Champion responsible AI practices, including data privacy, bias mitigation, transparency, and human oversight.
Define quality, performance, and evaluation criteria for AI features.
Monitor adoption and performance of shipped AI capabilities.
Maintain documentation of decisions, requirements, and known limitations.
Drive change management and enablement for adoption of AI tools and workflows.
Identify and address training, workflow, and trust barriers.
Build business cases and communicate AI initiative value to stakeholders and executives.

Requirements

What you’ll need

Bachelor’s degree in Business, Computer Science, Information Systems, or related field preferred; equivalent professional experience may be considered in place of a formal degree
5+ years of experience as a Product Owner, Product Manager, or similar product leadership role
Demonstrated ownership of a product roadmap and backlog
2+ years of experience working directly on AI, machine learning, or data-driven product initiatives
Experience with generative AI or agentic workflows is ideal
Experience leading product initiatives end-to-end from discovery through launch and adoption
Experience facilitating Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives
Experience presenting product strategy and outcomes to executive leadership and non-technical stakeholders
Experience driving change management or adoption efforts for new tools, workflows, or technology
Prior consulting, agency, or professional services experience is a plus
Strong understanding of AI and machine learning concepts, including large language models, generative AI, and agentic systems
Proficiency with Agile project management and collaboration tools such as Jira, Azure DevOps, or similar
Experience writing epics, user stories, and acceptance criteria for traditional software and AI-driven features
Familiarity with data quality, data governance, and data requirements for AI products
Understanding of responsible AI principles, including bias mitigation, transparency, and human oversight
Ability to interpret technical documentation and communicate technical concepts to non-technical stakeholders
Familiarity with PIM, DAM, or ecommerce platforms is a plus
Experience with prompt design, model evaluation, or collaboration with data science and engineering teams is a plus
Agile or Scrum certification (CSPO, PSPO, or equivalent) preferred
Guatemala-based location
Working schedule in EST is preferred

Benefits

Comp & perks

100% remote work after 6 months
Occasional travel for key internal workshops, planning sessions, or team gatherings, scheduled with plenty of notice
Competitive salary
Collaborative, growth-oriented culture
Opportunity to make a measurable impact
Great Place to Work® Certified™ Company
Inclusive workplace committed to diversity, employee value, respect, and engagement