What is an AI Product Manager? Definition, role and FAQs

By My Soul Market Manager
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IT Vacancies
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May 16 , 2025

As organizations increasingly rely on AI solutions, the importance of skilled product managers in this domain can’t be overstated. While it would be unwise for product managers to ignore or refuse the existence of AI, of course it won’t render PMs obsolete. The long answer to this question is being written and rewritten every day by product managers around the world (many of whom are trialing ChatGPT as a part-time PM “intern”). Find Senior Product Manager/Leader (AI product) job out how AI agents help product managers speed up tasks, boost productivity, and shape the future of work in product.

Plan, strategize, and align stakeholders around the key requirements unique to AI products.
In the ever-evolving landscape of technology and innovation, the role of a product manager has always been pivotal in the development and success of a product.
Recently, IBM halted the recruitment process for 7,800 positions, anticipating that AI will soon fill many roles.
Learn to execute enterprise software deployments, ensure compliance monitoring, and conduct thorough testing.
Such professionals may have honed their skills in roles like Senior AI Analyst or AI Product Lead.

Andrew Ng on Why AI Product Management is the Future!

AI Product Managers focus on ways to develop and integrate AI into their company’s relevant features and coding jobs applications. These PMs collaborate with cross-functional teams to define product strategy around AI, design features and user experiences, and general business cases from concept to launch. AI Product Managers are responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications. Look for experience in AI technology, machine learning, data analysis, and software development.

So what exactly does an AI Product Manager do?

This course guides you through generating new product ideas, creating detailed roadmaps, and defining precise product requirements. Learn to incorporate AI and cloud capabilities into your strategies, and apply Microsoft-specific tools and methodologies. Construct visual roadmaps, prioritize features, and estimate effort and resources. Define functional and non-functional requirements, create user stories, and collaborate with development teams.

Step 7: Persist in Learning & Adjusting

This blend of structured tasks and dynamic responsibilities keeps the role challenging and engaging. Each day presents an opportunity to learn something new, whether it’s a breakthrough in AI technology or a fresh perspective from a user interview, making the work both rewarding and intellectually stimulating. Therefore, AI Product Managers must advocate for transparency and fairness in AI systems, ensuring that the products developed are innovative, responsible, and equitable.

I’m especially excited about the future of AI Product Management, the discipline of developing and managing AI software products.
AI Product Managers must effectively communicate the value proposition of AI products to marketing teams, sales teams, and other key players.
This necessitates a product management approach emphasizing innovation, speed, and a deep understanding of customer needs.
In the rapidly evolving landscape of technology, the role of an AI Product Manager has emerged as a critical bridge between cutting-edge artificial intelligence capabilities and the ever-changing needs of users.
Now, as an AI Product Manager, your job is to understand the kind of data this AI feature needs, to give you accurate recommendations.

If leadership is caught off guard when presented with realistic expectations of time to value and what might be possible with the AI product, then they are likely to end the project early. This is especially the case if they are not primed on the challenges and hurdles that the AI team will inevitably face over the course of building an AI product. Product management is the strategic function within an organization that guides the development, launch, and ongoing success of a product or service. Entry-level professionals looking to start a new career as a Product Manager in a related field. Interested learners may be making a career switch, currently work in a related role and wish to transition into a Product Management role. This is why I’m excited about the future of Product Management, the discipline of developing and managing software products.

In this program, you’ll learn in-demand skills like product management, prompt engineering, and artificial intelligence to get job-ready in 3 months or less, with no prior experience required. Understanding the role of an AI product manager (AI PM) is essential for any product manager whose work touches artificial intelligence. Ultimately, however, this distinction may be short-lived as all product managers embrace AI tools. As AI evolves, so does the need for product managers to adapt their approach to include more complex machine learning algorithms and advanced data analytics. The push for responsible AI use amplifies the importance of ethical considerations in product development. AI Product Managers have a unique position that blends product management and artificial intelligence knowledge.

Moreover, knowledge of ethical AI practices and the ability to manage cross-functional teams are crucial. Product managers usually focus on an existing problem and try to understand whether AI or ML can solve it. This domain of using data analysis to solve product challenges comes with its own set of problems.