Product Manager (AI System)
Responsibilities
- Define end-to-end AI system requirements, from model capabilities and behaviour to user impact.
- Translate ML capabilities, data constraints and evaluation results into product and system decisions.
- Make trade-offs across quality, latency, cost, reliability and UX.
- Define and evolve evaluation frameworks using offline metrics, online experiments and human feedback.
- Own AI product quality and delivery, including correctness, predictability, safety and user trust.
Requirements
- Strong foundation in computer science, including algorithms, data structures and system design.
- Solid understanding of ML fundamentals and modern AI systems in production.
- Hands-on experience with AI-powered products, including LLM-based systems, model evaluation and prompt or pipeline iteration.
- Experience owning complex technical products end-to-end and working closely with engineering and ML teams.
- Strong understanding of AI limitations, including hallucinations, bias, drift and failure handling.
GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | VO UYEN AI LINH | Registration No: R22109232