Introduction
We are seeking an entry-level Associate Product Manager (Band 6) to join our Agentic AI Platforms team. In this role, you will support the development and execution of product strategy for agentic AI capabilities — including autonomous agents, orchestration frameworks, and AI-driven workflows — across IBM Cloud, Red Hat, and IBM Software. This is an ideal position for a motivated early-career professional eager to build product management skills in a fast-growing AI platform space. You will work closely with senior product managers, engineers, and cross-functional teams to contribute to roadmap planning, customer discovery, and delivery execution.
Your Role And Responsibilities
- Assist in documenting and maintaining the product roadmap for agentic AI capabilities, tracking progress and surfacing risks.
- Research market trends, competitor offerings, and emerging AI architectures to inform product direction.
- Support development of product positioning and use case documentation for autonomous agents and AI-driven workflows.
- Assist in writing and refining product requirements, user stories, and acceptance criteria for agent runtimes, orchestration layers, and platform integrations.
- Track delivery milestones, flag blockers, and maintain status updates across engineering workstreams.
- 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.
Required Technical And Professional Expertise
- 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.
Preferred Technical And Professional Experience
- 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.
