Entry Level Product Manager
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-01-12
Listing for:
IBM
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Product Designer, AI Engineer, Data Analyst, Data Science Manager
Job Description & How to Apply Below
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- 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.
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.
- 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.
Mid-Senior level
Employment typeFull-time
Job functionProduct Management and Marketing
IndustriesIT Services and IT Consulting
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Position Requirements
Less than 1 Year
work experience
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