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Product Manager Intern 2026

IBM San Jose, CA

Live

Full-time Posted 25 days ago 2 min read

**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.

**Your Role And Responsibilities**
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.

**Preferred Education**
Bachelor's Degree

**Required Technical And Professional Expertise**

* 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.

**Preferred Technical And Professional Experience**

* 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.

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