AI Product Manager duties and responsibilities
An AI Product Manager is responsible for managing the product’s lifecycle end-to-end and ensuring its success. This summary of key duties and responsibilities may be useful when writing an AI Product Manager job description.
- Conduct market research to identify trends and emerging opportunities for AI products.
- Develop the vision for AI products and implement road map planning and execution strategies.
- Manage multiple and competing demands by prioritising product features and balancing business goals and user needs.
- Lead and manage technical development and the launch of AI products.
- Lead and collaborate with cross-functional teams, which include technical engineers as well as business development professionals, from product ideation to launch.
- Develop, measure and maintain product requirements once launched and throughout the product life cycle, including defining and analysing key performance indicators (KPIs).
- Ensure AI products comply with ethical regulations and safety standards.
- Promote and drive internal and external engagement and adoption of AI products.
AI Product Manager skills and qualifications
To be successful, an AI Product Manager is required to combine artificial intelligence expertise with marketing and product strategy skills. Examples of the abilities and qualifications that will make a job candidate stand out are:
- strong understanding of artificial intelligence and related technologies
- a background in product development and bringing innovative solutions to market
- ability to work in a fast-paced environment and to quickly adapt to change
- problem-solving, communication and teamwork skills
- tertiary qualifications in data science, computer science or artificial intelligence
- understanding of user experience (UX) design principles.
AI Product Manager experience requirements
Two to four years’ experience is essential for an AI Product Manager, along with a track record of successfully bringing products to market. While experience in data product management is preferred, it is not required. If candidates lack a background in artificial intelligence, experience in data science, analytics and big data can also be relevant.
AI Product Manager education and training requirements
No formal qualifications are required to be successful in an AI Product Manager role. Candidates who have completed workshops or obtained microcredentials or tertiary qualifications in analytics and AI may be just as successful as those with education in business and project management.
Job description samples for similar positions
If an AI Product Manager is not exactly what your business needs, consider these relevant job descriptions:
AI Product Manager job description FAQs
What differentiates an AI Product Manager from a Product Manager?
Both roles require similar foundation skills, such as collaboration and communication. An AI Product Manager also benefits from having expertise in artificial intelligence and staying updated on technology and governance developments. On the other hand, a Product Manager, can succeed without having specialised knowledge of their product.
Who does an AI Product Manager report to?
The reporting line for an AI Product Manager can vary based on the size of the business. In small businesses, the employee may report to the general manager or business owner. In medium to large businesses, the AI Product Manager may report to the business development manager, head of department or the CEO.
How can you make your AI Product Manager job description stand out?
To attract the right job candidates, clearly specify the level of artificial intelligence knowledge and expertise needed for the role. Also include details about any specific software or business practices, such as Agile methodologies, that the successful candidate will use. This can help candidates quickly assess if they have the necessary background to apply.
What can you look for in an AI Product Manager resume?
Look for candidates who meet the qualification and experience criteria set out in the job description. Scanning a resume for relevant keywords included in the job description can be helpful, as it indicates that candidates have understood what is required to be successful in the role.
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