Lead product management for multiple AI/ML products, or one highly strategic product, with cross-divisional impact
Define and own the end-to-end product lifecycle, from strategy and planning through delivery, adoption, and continuous improvement
Partner closely with engineering, data science, design, risk, legal, and business stakeholders to design, build, and improve AI/ML technical solutions
Translate market research, user insights, and client feedback into clear product vision, features, and requirements
Guide planning, development, and implementation of new AI/ML products, including defining target markets and implementation approaches
Use qualitative and quantitative analysis to assess performance, improve user experience, and inform future product direction
Coach and support technical product teams on product management best practices and shared learnings
Ensure clear, consistent communication, including product messaging, documentation, and customer or stakeholder outreach
Contribute to business planning, prioritization, and investment decisions to ensure alignment with organizational strategy
Participate in modern engineering practices, including development, continuous integration, and automated deployment
Support special projects and other responsibilities aligned with the role, as needed

At least 8 years of experience in AI/ML product management or closely related roles
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related technical field; a master’s degree is a plus
Experience across the AI/ML product lifecycle, including user-centered design, market analysis, stakeholder engagement, and implementation planning
Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud Platform), machine learning frameworks (for example, TensorFlow or PyTorch), and analytics tools
Strong critical thinking, problem-solving, and time-management skills
Comfort collaborating in cross-functional, agile teams and synthesizing complex data into actionable insights.
Certifications are valued but not required; examples include Certified Scrum Product Owner (CSPO), AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, or Pragmatic Product Management

AI/ML Product Manager

Key skills