Entry Level Product Manager

Introduction

Product Managers play a pivotal role in shaping offerings that leverage artificial intelligence, machine learning, and data analytics to solve complex business challenges. IBM follows a structured product lifecycle management process, integrating agile methodologies, data-informed decision-making, and cross-functional collaboration. Product Managers work across engineering, design, data science, and go-to-market teams to deliver innovative, secure, and scalable AI-powered solutions.

The responsibilities of a Product Manager include:

• 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.
• Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers.
• Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions.

• 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.
• Strong communication and storytelling skills to translate technical insights into business value.
• Ability to manage dependencies across teams and anticipate risks in product delivery.

• Experience with enterprise AI products or platforms
• Exposure to AI ethics frameworks and responsible AI practices.
• Comfortable working with global teams across time zones and cultures.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.