Product Manager ELH

Overview

A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.

We are seeking a skilled back-end developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

We are seeking Product Managers to help shape AI-enabled and data-driven products that solve complex business challenges. In this role, you will guide product strategy, collaborate across engineering, design, data science, and go-to-market teams, and ensure that we deliver secure, scalable, intuitive experiences. You will use insights, analytics, and user needs to define priorities and drive meaningful product outcomes.

• Define product strategy aligned with user needs and business goals.
• Translate technical concepts—such as ML models, APIs, and data pipelines—into clear product requirements.
• Prioritize the backlog using data-informed frameworks and support roadmap execution.
• Collaborate with cross-functional teams to deliver high-quality features.
• Incorporate responsible AI principles such as transparency, fairness, and compliance.
• Monitor product performance using analytics and user feedback.
• Communicate product vision and progress to stakeholders.
• Advocate for user experience and usability in AI-driven interfaces.

Preferred Education
Bachelor's Degree

• Strong fundamentals in product strategy, roadmap planning, and backlog management.
• Understanding of AI, ML, or data lifecycle concepts.
• Experience with Agile practices such as sprint planning and iterative delivery.
• Ability to analyze data, use product analytics tools, and interpret metrics.
• Clear communication and storytelling skills.
• Ability to collaborate across diverse teams and manage dependencies.

• Experience with enterprise or AI-powered products.
• Familiarity with responsible AI frameworks.
• Experience working with global teams.