AI Product Manager
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Job Location:
Ho Chi Minh City - Vietnam
Monthly Salary:
Not Disclosed
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
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 arent 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 Youll Make
- Strategic Translation: Bridge the gap between C-suite business goals and deep-tech execution. Youll 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 lifecyclefrom 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 Analyticsnot legacy systems.
- Elite Support: You arent alone. You have the full weight of Newbridges 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 dont wait for a ticket. You look at data find the friction and design the automated solution.
- Technical Foundation: You understand the nuances of model performanceprecision recall and the difference between cool AI and useful AI.
Key Skills
- Time Management
- Data Analytics
- Analytical
- Agile
- Requirement Gathering
- Strategic thinking
- Visio
- Communication
- Problem Solving
- Market Research
- UML
- Cross Functional Teams
