AI Product Manager Jobs
31 ai pm jobs available
Product Manager, AI Platform
Figma
Product Support Specialist
Anthropic
Research Product Manager, Model Behaviors
Anthropic
Product Manager, Claude Code
Anthropic
AI Product Owner
Centrica
Head of Product - Stealth AI Freight Operations Startup
UP
Junior Product Owner - Legal AI SaaS Tech. Remote
RecruitmentRevolution.com
AI Product Manager
Carrum Health
Product Manager - AI - Legal
Reed Technology
AI Product Owner
Inference Group
AI Product Owner
Inference Group
Product Manager - AI - Legal
Reed Technology
Sr. AI Product Manager
Verizon
Sr. AI Product Manager
Verizon
AI -Senior Product Owner
DCV Technologies Limited
Data Product owner- FMCG / Retail - Remote, US
VBeyond
Generative AI Product Owner
Watts Company
AI/ML Product Owner
One Bridge Inc
AI Product Manager
167 Solutions Ltd
Product Manager, Supply Chain Solutions
BMO Financial Group
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.