Product Manager, AI/ML: Facts, Skills, and Next Paths

A Product Manager, AI/ML leads the rapid experimentation, validation, and launch of AI-powered products, typically B2B. Day-to-day, you partner with AI engineers, data scientists, and cross-functional stakeholders to define product strategy, prioritize features aligned with customer needs, and manage the product lifecycle from conception to delivery. You drive A/B testing to validate model performance, ensure compliance with regulatory standards, and coordinate Agile/Scrum sprints.

Core responsibilities include architecting ML Ops tools, overseeing model life cycles, and translating technical capabilities into product requirements. For example, at Sanofi, this role accelerates R&D and manufacturing by adopting AI/ML solutions, while at Expedia Group, it connects travelers through leading technology. You report to Product leadership and collaborate closely with engineering and compliance teams.

The market shows a median salary of ~$166,500, with the most-requested skills being Machine Learning & Deep Learning (80% of current postings), Product Management (70%), Product Strategy (60%), A/B Testing (40%), and Compliance (40%).