AI Product Manager (Education & Research)

Bachelor's degree in Business Administration, Computer Science, Information Systems, Data Science, Education or a related field.
Minimum 5 years' experience in product management, including at least 3 years working on AI or machine learning products and hands-on experience with LLM- or agent-based products.
Track record of taking products from early development through user adoption and ongoing improvement, including establishing product operations.
Experience leading a product or cross-functional team, including recruiting and developing team members.
Experience planning and controlling a project or product budget.
Hands-on experience using AI tools and agents in product and engineering work, with the ability to design team workflows that incorporate them.
Strong product judgment: ability to assess usefulness and ease of use, translate ambiguous needs into prioritized plans with measurable outcomes, explain evidence-based decisions, and discontinue unsuccessful initiatives.
Data-driven decision-making: ability to define product metrics and data requirements from the outset and directly analyze product and AI evaluation data to guide priorities; experience organizing data preparation and labeling for AI systems.
Understanding of generative AI applications, including large language models (LLMs), retrieval and evaluation, sufficient to guide engineers and assess product quality, data privacy, security and responsible AI practices.
Strong written and verbal communication in Vietnamese and English, including presenting to senior leadership.
Alignment with VinUni's core values (EXCEL): Empathy, Creativity, Leadership Mindset, Exceptional Capability, and Entrepreneurial Spirit.
Experience in education technology, learning platforms or academic research tools.
Experience in early-stage or founding teams, building products and operations from the ground up.
Familiarity with research methods or academic settings: a research degree, publications, or experience working alongside researchers or teaching.
Experience working under governance requirements in a large organization, including financial planning and reporting.
Experience building AI literacy and organizational adoption through training and user engagement.