Product Manager Intern Poughkeepsie New York 2026

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.

Required education
High School Diploma/GED

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