AI Product Owner (Education & Research)

AI Product Owner (Education & Research) · Hà Nội, Hà Nội, Hà Nội.

• Use Case Clarification
• Work with users and stakeholders in the assigned area — learners, instructors, coaches and research staff — to understand current practice and turn high-level use cases into clear goals, scope and success criteria before development starts.
• Benchmark leading learning and research products that address the same problems, and apply those insights to the definition of each feature.
• Write user flows, user stories and acceptance criteria that engineers can build from directly, specifying what the AI should do, what it must not do, and the quality level required.
• Own a single prioritized backlog for the area; resolve open questions before work starts and accept completed stories against their acceptance criteria.
• UX, Prototyping & AI Tools
• UX & Rapid Prototyping
• Design the user experience of each feature, including the conversational experience, through user flows and simple wireframes within the University's design system.
• Build prototypes with AI and no-code tools and test them with real users before committing engineering resources; refine the prototypes based on test results.
• Using AI in Product Work
• Use AI tools as the standard toolkit to synthesize research, write specifications, support design, generate test data and prepare reports.
• Stay current with AI tools, proactively test new approaches in product work, and share effective practices with the team.
• Delivery & Project Management
• Planning & Timeline
• Plan delivery for the area against the roadmap milestones: break initiatives into releases, manage dependencies and risks, and report potential delays early.
• Coordinate shared resources such as quality assurance (QA) staff, contracted engineers and subject-matter experts.
• Release Management & Approvals
• Coordinate regular planning, reviews and demos with the development team, and define the scope of each release.
• Prepare the product documentation required for Vingroup's approval checkpoints, and track findings from security reviews and user testing until they are resolved.
• Product Analytics & AI Evaluation
• Product Analytics & Experiments
• Define the metrics and data each feature must capture from the start; build and analyze dashboards of usage, engagement and outcomes.
• Design and run feature-level experiments and pilots with real users; use the evidence to decide whether to retain, revise or discontinue each feature.
• AI Evaluation & User Acceptance
• Assess AI quality and readiness for release: agree evaluation criteria and benchmarks with the AI Product Manager, coordinate subject-matter experts' contributions to data labeling and evaluation, and assess accuracy, groundedness (support from provided sources), safety and cost.
• Plan and run user acceptance testing for each release, with scenarios per user group and clear pass/fail conditions.
• Product Operations & Continuous Improvement
• Pilot Operations
• During build and pilot, run day-to-day operations directly with the engineers: onboard users, provide initial user support, and assess and prioritize reported issues.
• Keep the product usable while it is still changing; track usage, AI output quality and user satisfaction.
• User Feedback & Handover
• Review user and operational feedback weekly, turning usability issues, unusual use cases and unmet needs into prioritized backlog items.
• Once the product is stable, hand over day-to-day operations to the designated team with documentation, clear support responsibilities and quality monitoring in place. Remain accountable for product usage and AI output quality, and prioritize further improvements.
• Mentoring & Training
• Mentor and train fresh graduates and junior team members in product discovery, requirements, prototyping and AI-assisted workflows through hands-on guidance, work reviews and regular feedback.