Product Owner

Ascendion; Philippines; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

Ascendion is seeking professionals with expertise across AI product development, from requirements gathering through deployment and post-implementation. The role emphasizes Generative AI/LLM work, RAG design and enterprise data workflows, plus API integrations and comprehensive testing and evaluation.

The candidate will contribute to AI use cases, governance, reporting, and cross-functional collaboration to deliver AI-enabled solutions that align with business goals.

Qualifications

• AI product development lifecycle experience.
• Generative AI/LLM hands-on experience.
• RAG design/implementation experience.
• Experience with AI use cases and workflows.
• API and system integration experience.
• AI testing, evaluation and improving AI accuracy.
• Business/product analysis and roadmap input.
• Data visualization and reporting experience.
• Project management and risk tracking.

Skills

AI product development

Generative AI

LLM

RAG

AI use cases

API & integration

AI testing & evaluation

Business/product analysis

Data & reporting

Project management

AI governance

Training & enablement

Job description

• AI Product Development – experience supporting AI solutions from requirements gathering through development, testing, deployment, and post-implementation.
• Generative AI / LLM – hands-on experience with AI-powered applications, prompt engineering, AI workflows, and evaluation.
• RAG – experience designing or implementing Retrieval-Augmented Generation solutions using enterprise documents, knowledge bases, and structured/unstructured data.
• AI Use Cases – knowledge management, document analysis, intelligent search, content generation, workflow automation, decision support, or process optimization.
• API & Integration – experience developing APIs, system integrations, and automation workflows.
• AI Testing & Evaluation – experience creating test methodologies, evaluation frameworks, performance metrics, usability testing, and improving AI accuracy/reliability.
• Business/Product Analysis – requirements gathering, user research, problem statements, opportunity assessment, feasibility studies, POCs/MVPs, and product roadmap inputs.
• Data & Reporting – dashboard development, data visualization, reporting, and presenting insights to stakeholders.
• Project Management – tracking deliverables, timelines, risks, issues, and change management.
• AI Governance – familiarity with AI governance, data governance, IT risk, responsible AI, and regulatory compliance.
• Training & Enablement – creating rollout plans, documentation, knowledge-sharing materials, and conducting AI training.