AI Product Manager

AI Product Manager Opportunities Across Global Organizations

Leading technology companies, innovative startups, and enterprise organizations worldwide are actively seeking experienced AI Product Managers to drive the development and deployment of cutting-edge artificial intelligence products. With over 33,000 open roles globally, this represents one of the most in-demand product management specializations in 2026.

As an AI Product Manager, you will bridge the gap between advanced machine learning capabilities and real-world business value. You'll collaborate with research scientists, ML engineers, data scientists, designers, and cross-functional stakeholders to define product strategy, prioritize features, and deliver AI-powered solutions that solve complex user problems.

Key Responsibilities:

• Define product vision and roadmap for AI/ML-powered features and platforms
• Translate business requirements into technical specifications for ML teams
• Manage the full product lifecycle from ideation through launch and iteration
• Establish metrics and evaluation frameworks for model performance and product impact
• Partner with engineering, research, design, and go-to-market teams
• Stay current with rapidly evolving AI/ML technologies, regulations, and market trends
• Drive responsible AI practices including fairness, transparency, and privacy considerations

Organizations hiring range from hyperscalers (Google, Microsoft, Amazon, Meta) and AI-native companies (OpenAI, Anthropic, Cohere) to traditional enterprises undergoing AI transformation across finance, healthcare, retail, manufacturing, and more. Roles span consumer-facing AI products, enterprise SaaS platforms, developer tools, and applied research productization.

This search aggregates opportunities across all experience levels—from Associate AI PM to Principal/Staff AI PM—and across geographies including North America, Europe, APAC, and LATAM with visa sponsorship frequently available.

• 3+ years product management experience with 1+ year directly managing AI/ML products
• Strong technical fluency in machine learning concepts (supervised/unsupervised learning, LLMs, computer vision, NLP)
• Experience with ML model lifecycle: data preparation, training, evaluation, deployment, monitoring
• Proven track record shipping AI features from concept to production
• Ability to collaborate effectively with research scientists and ML engineers
• Strong analytical skills with experience defining success metrics for AI products
• Excellent communication and stakeholder management abilities
• Bachelor's degree in CS, Engineering, Data Science, or equivalent practical experience
• Preferred: Advanced degree in ML/AI; experience with generative AI, LLMs, or MLOps platforms