AI Product Manager (all levels)

AI Product Manager – Building the Intelligence Layer The Mission: From Concept to Cognitive Reality Newbridge Vietnam is searching for a visionary AI Product Manager to lead a high-stakes digital transformation for one of our marquee global clients. In this role, you aren't just managing a backlog; you are the architect of an intelligence roadmap. You will sit at the intersection of human experience and machine learning, turning massive datasets into intuitive, high-impact products that redefine how our client competes globally. The Impact You’ll Make Strategic Translation: Bridge the gap between C-suite business goals and deep-tech execution. You’ll turn "What if?" into a concrete product requirement document (PRD). Cross-Functional Command: Lead a "Tiger Team" of Newbridge developers and client-side data scientists to move models from experimental notebooks to production-grade products. Algorithm to UX: Oversee the full ML lifecycle—from data discovery and model training to A/B testing and seamless UI integration. Ethical Stewardship: Champion responsible AI, ensuring every model we deploy is transparent, unbiased, and secure. Why This Role is Different High-Octane Environment: Enjoy the agility of a premier tech consultancy with the massive data sets and resources of a global enterprise leader. Pure Tech Focus: This is a "build-from-scratch" culture. We focus on LLMs, Generative AI, and Predictive Analytics —not legacy systems. Elite Support: You aren't alone. You have the full weight of Newbridge’s AI and Data Engineering labs behind you to help solve the toughest technical hurdles. Who You Are The "AI Native" PM: You have 4+ years of Product Management experience, with a proven track record of shipping AI/ML-driven features. The Data Translator: You can speak "Hyperparameters" with the engineers and "ROI" with the stakeholders without losing anything in translation. The Problem Hunter: You don't wait for a ticket. You look at data, find the friction, and design the automated solution. Technical Foundation: You understand the nuances of model performance—precision, recall, and the difference between "cool AI" and "useful AI."