AI Product Manager Jobs
39 ai pm jobs available
Staff Product Manager, AI Personalization - Careers at Airbnb
Airbnb
Product Owner-Supply Chain (Edgewing)
BAE Critical Skills
Product Manager, Data and AI - Temporary
Air Canada
Product Owner-Supply Chain (Edgewing)
BAE Systems
Product Manager, AutoML
Hive
Product Owner-Supply Chain (Edgewing)
BAE Systems
Product Owner-Supply Chain (Edgewing)
BAE Systems
Product Owner-Supply Chain (Edgewing)
BAE Systems
Product Owner-Supply Chain (Edgewing)
BAE Systems
Product Owner-Supply Chain (Edgewing)
BAE Systems
Product Owner-Supply Chain (Edgewing)
BAE Systems
Product Owner-Supply Chain (Edgewing)
BAE Systems
Product Owner-Supply Chain (Edgewing)
BAE Systems
Product Manager (Fundraising) - Swindon
The National Trust
Product Owner AI
Gameloft
Senior Product Manager - AI
MCS Group
Head of Product (Baie-Comeau)
Auxo | Growth Partner
Senior AI Product Manager
Virgin Media
AI Product Manager
BGB Group
Head of Product Engineering (Retail)
ClearCourse
Frequently Asked Questions
What does an AI Product Manager do?
AI Product Managers define strategy and roadmap for AI/ML products. They work closely with ML engineers and data scientists to translate business problems into ML solutions. Responsibilities include defining success metrics, managing model performance, handling AI ethics/safety, and communicating AI capabilities to stakeholders. They bridge the gap between technical ML teams and business objectives.
What is the salary for AI Product Managers?
AI Product Managers typically earn 10-20% more than general PMs due to specialized skills. Salaries range from $150,000-$250,000 for mid-level roles and $200,000-$350,000+ for senior positions at top AI companies. Companies like OpenAI, Anthropic, Google DeepMind, and well-funded AI startups offer the highest compensation packages.
Do AI Product Managers need to know how to code?
While not required, technical skills are highly valued. AI PMs should understand ML fundamentals (supervised vs unsupervised learning, model training, evaluation metrics), be comfortable with data analysis (SQL, Python basics), and understand AI/ML system architecture. You don't need to build models, but you should be able to communicate effectively with ML engineers.
How do I transition to AI Product Management?
Start by learning ML fundamentals through courses (Andrew Ng's ML course, fast.ai). Build projects using AI APIs (OpenAI, Anthropic). Get experience at your current company with AI/ML features. Consider roles at AI-adjacent companies before pure AI companies. Networking with AI PMs and contributing to AI product communities helps build credibility.