AI Product Manager Jobs
88 ai pm jobs available
Product Manager, Machine Learning
Meta
Product Owner (AI & Insurance Innovation)
Insurance Office of America
(US) Edge AI Product Owner - Medical Devices & AI
Codvo.ai
Product Owner (AI & Insurance Innovation)
Insurance Office of America
AI Product Manager (BESS)
ASCENDING LLC
Product Manager, AI
Figma
Robotics Product Manager
Scale AI
AI Product Owner/Developer, Service Desk AI & Automation-Associate Director
Fitch Group
AI Product Manager
KellyMitchell Group
Senior Product Manager, AIOps
PagerDuty
Technical Product Manager, AI
Valence
Senior Product Manager, AIOps
PagerDuty
SAP Product Owner - Sales and Supply Chain
Michael Page Technology
Assurance Product Owner, Knowledge Management, Audit, Fintech, AI
Carrington Recruitment Solutions Ltd
Product Manager - AI
Tenth Revolution Group
AI Product Manager
Tenth Revolution Group
AI Product Manager
Tenth Revolution Group
AI Product Manager
Tenth Revolution Group
Technical AI Product Owner
Tenth Revolution Group
AI Product Owner
Great Gulf
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.