Entry Level Product Manager 2027 - POUGHKEEPSIE

At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'l have the tools and opportunities to advance your career while creating software that changes the world. Assist in writing and refining product requirements, user stories, and acceptance criteria for agent run-times, orchestration layers, and platform integrations. Track delivery milestones, flag blockers, and maintain status updates across engineering work-streams. Support customer discovery and stakeholder interviews by coordinating logistics, taking notes, and synthesizing findings. Assist in preparing launch materials, field enablement content, and executive briefing decks. Assist in tracking and reporting KPIs related to product adoption and customer value across portfolios. Prepare clear status updates and progress summaries for senior leadership. Bachelor's Degree in Business Administration, Computer Science, Information Technology 0–2 years of product management, product operations, or related experience (internships and co-ops count). Strong written and verbal communication skills with an ability to synthesize complex information clearly. Genuine curiosity about AI/ML, large language models (LLMs), and cloud platforms. Ability to manage multiple tasks and priorities in a collaborative, fast-paced environment. Strong analytical skills and comfort working with data to support decision-making. Exposure to agile product development methodologies (Scrum, Kanban, or similar). Familiarity with AI/ML concepts, cloud infrastructure, or developer platforms through coursework, projects, or internships. Basic understanding of OpenShift, hybrid cloud architectures, or open-source ecosystems is a plus. Experience with tools such as Jira, Aha!, Confluence, or similar product and project management platforms.