AI Product Manager

This LinkedIn job search aggregates over 1,000 active AI Product Manager openings across global employers, with new roles added daily. As of 2026, listings include opportunities posted as recently as 13 hours ago, spanning industries from tech and healthcare to finance and e-commerce. While the majority of listed roles are full-time, opportunities also include part-time, contract, and internship positions for candidates at all career stages, from entry-level to senior and executive leadership. Requirements differ by employer, but most roles call for experience with AI/ML product lifecycle management, cross-functional stakeholder alignment, and go-to-market strategy for AI-powered solutions. Many positions offer flexible work arrangements, including fully remote, hybrid, and on-site options across North America, EMEA, APAC, and LATAM regions. Job seekers can leverage their LinkedIn professional network to connect with hiring managers, apply directly to roles, and receive personalized job recommendations based on their profile and experience. The search results are updated in real time to reflect new openings and closed positions, ensuring access to the latest opportunities in the fast-growing AI product management field.

• 2+ years of professional product management experience, with prior work on AI/ML-powered products preferred for mid-to-senior level roles
• Strong foundational knowledge of AI/ML concepts, including model training, deployment pipelines, and ethical AI development practices
• Proven ability to lead cross-functional teams of engineers, data scientists, UX designers, and go-to-market stakeholders to deliver AI product milestones
• Experience defining product roadmaps, prioritizing feature backlogs, and tracking success metrics for AI-driven solutions
• Excellent communication and stakeholder management skills, with the ability to translate technical AI capabilities into business value for non-technical audiences
• Bachelor's degree in Computer Science, Business, Engineering, or related field; MBA or advanced technical degree preferred for senior and leadership roles
• Familiarity with agile product development frameworks and common AI product management tools (e.g., Jira, Miro, MLflow)