IBM
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.
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.
Seniority level Mid-Senior level
Employment type Full-time
Job function Product Management and Marketing
Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at IBM by 2x
Get notified about new Product Manager jobs in
Austin, TX .
#J-18808-Ljbffr
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.
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.
Seniority level Mid-Senior level
Employment type Full-time
Job function Product Management and Marketing
Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at IBM by 2x
Get notified about new Product Manager jobs in
Austin, TX .
#J-18808-Ljbffr