IBM is looking to solve complex business challenges by leveraging artificial intelligence, machine learning, and data analytics
Requirements
- Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution
- Understanding of AI/ML concepts, data lifecycle, and model deployment practices
- Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery
- Proficiency in product analytics tools and data visualization platforms
- Experience with enterprise AI products or platforms
- Exposure to AI ethics frameworks and responsible AI practices
Responsibilities
- Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs
- Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models
- Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories
- Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs
- Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development
- Monitor product performance using analytics tools and user feedback to iterate and improve continuously
- Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions
Other
- Bachelor's Degree
- Strong communication and storytelling skills to translate technical insights into business value
- Ability to manage dependencies across teams and anticipate risks in product delivery
- Comfortable working with global teams across time zones and cultures
