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Product Manager, AI
Function
Technology
About the Role
The AI Product Manager oversees the development and management of AI-based products, aligning them with market needs and business objectives. They are essential for ensuring that AI products not only meet customer demands but also contribute significantly to the organization's success and innovation.
Responsibilities
- Design and execute research projects that lead to the development of new AI algorithms and models.
Stay abreast of the latest AI research and technological trends to inform and guide strategic research directions.
Collaborate with cross
functional teams, including data scientists, engineers, and product managers, to integrate AI technologies into products and services.
Publish research findings in peer
reviewed journals and present at conferences to contribute to the scientific community and enhance the organization's reputation.
Develop prototypes and proof
of
concept applications to demonstrate the potential of new AI technologies.
Mentor junior researchers and contribute to the growth of the organization's AI expertise.
Work closely with stakeholders to understand business challenges and identify opportunities where AI can provide value.
Ensure the ethical use of AI by adhering to best practices and regulatory standards.
Contribute to the development of intellectual property through patent filings and other forms of protection for innovative work.
Required Skills
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Strong theoretical foundation and practical experience in machine learning, deep learning, natural language processing, or computer vision.
Proficiency in programming languages such as Python, R, or Java, and experience with AI frameworks like TensorFlow or PyTorch.
Demonstrated ability to conduct independent research and a track record of published work in reputable journals or conferences.
Excellent analytical and problem
solving skills.
Strong communication and collaboration skills to work effectively in a team environment.
Ability to translate complex technical concepts into language that is accessible to non
experts.
Familiarity with cloud computing platforms and big data technologies is a plus.
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