Product Manager Intern 2026 Job at IBM, San Jose, CA

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  • IBM
  • San Jose, CA

Job Description

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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