Product Owner Agentic AI

Job Description

This position is responsible for translating the organization's AI strategy into Agentic AI products with measurable impact on workforce performance, with a clear R&D and delivery roadmap. The position sits within the Innovation department and focuses on unlocking Agentic AI capabilities and bringing AI into the organization's actual operations, specifically:
R&D Agentic AI Solutions: Research, experiment with and package Agentic AI solutions so that all business functions can adopt them. Includes training programs that raise AI literacy across the entire organization.
Own AI Products for the HR & General Administration function: Lead the full lifecycle of AI products serving the HR&GA function (recruitment, onboarding, training, performance evaluation, workforce operations) from ideation to live operation.
Measure Performance Impact: Define metrics; track adoption, time saved and ROI; ensure every AI product produces real, data-validated value.
Spread AI Capability: Support other departments in discovering AI use cases; build an experimentation culture and reusable patterns across the entire organization.

Requirements
- Bachelor's degree or higher, preferably in Computer Science, Management Information Systems, Data Science, Software Engineering, or related technical/quantitative fields.
- Certifications in Product Ownership (e.g., PSPO, CSPO), AI/ML, or a personal/open-source AI project portfolio is a strong plus.
- 1 to 3 years of experience as a Product Owner, Business Analyst, AI Engineer or AI Product Builder for technology products.
- Hands-on AI experience: has personally built and shipped at least 1 complete AI application that can be demoed with architecture explained. Acceptable scope: chatbot using LLM API, AI-integrated automation workflow (n8n/Make/Zapier), simple RAG, prompt-based tool, AI assistant for a specific task.
- Has worked with LLM APIs (Anthropic Claude, Google Gemini, OpenAI Codex...) and understands basic patterns: prompt engineering, function calling, RAG (at concept level).
- Strong preference for candidates who have built complex agents with Claude Agent SDK, Hermes Agent, Openclaw Agent or custom orchestration; have vibe-coding experience (Claude Code, Cursor, Codex); or maintain a public AI portfolio / open-source contributions.
- Strong foundational thinking in at least 1 of the following 4 knowledge domains:
+ Agentic AI & LLM: Understand agent architecture, ReAct, planning, tool use, memory and multi-agent collaboration; able to differentiate when to use RAG, fine-tuning or agents.
+ AI Engineering: Principles of prompt engineering, context engineering, evaluation frameworks and AI safety/guardrails.
+ Product Discovery & Delivery: Solid grasp of Agile/Scrum, user story mapping, prioritization frameworks (RICE, MoSCoW, Kano) and product impact measurement.
+ HR & Performance Domain: Experience with or understanding of core HR & General Administration processes (recruitment, onboarding, training, performance evaluation, workforce operations) is a strong plus.

- A dynamic, open, and inclusive working environment that fosters continuous learning.
- Empowerment and trust to tackle real business challenges.
- Fast-track career growth with a competitive salary.
- Year-end bonus based on business performance.
- Exclusive company benefits (Tet gifts, employee discounts, etc.).
- Full participation in social insurance, health insurance, and unemployment insurance.
- Opportunity to work with talented and passionate colleagues.