Introduction At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities
Collaborate with cross-functional teams including architects, engineers and designers to prioritize and deliver new Data Lakehouse capabilities quickly and efficiently.
Work closely with customers and partners to gather feedback and understand their data management needs, translating these into actionable product improvements.
Assist in defining product roadmaps and timelines to ensure the timely release of key features.
Participate in the creation of technical and non-technical materials that explain and promote watsonx.data’s extensive capabilities.
Stay updated on Data and AI trends, helping the team adapt to evolving competitor platforms and open source frameworks.
Work closely with the US-based inbound Product Management team and other product managers to drive integration and alignment across various product offerings.
Engage with internal and external stakeholders to ensure the successful adoption and implementation of new features.
Required Technical and Professional Expertise
5+ years of IT experience for Product organization.
Tech Industry Experience – 2+ years of experience in Product Management
Product Management Interest: Strong interest in product management with the ability to work in fast-paced, iterative environments.
Market Research: Experience performing competitive and market research to shape product roadmap
Stakeholder Collaboration: Ability to work effectively with multiple teams (technical, engineering, design) to deliver product updates quickly.
Communication Skills: Excellent communication skills, both written and verbal, with the ability to explain complex topics simply.
Technical Acumen: Basic understanding of Data Science, Data Engineering, Data Management and AI technologies, trends and challenges. Willingness to learn new technologies quickly.
Adaptability: A proactive and flexible attitude, with a strong desire to learn and grow in a product management role.
Preferred Technical and Professional Expertise
Experience with Data and AI Tech Stack
Experience with SaaS
Experience with Gen AI technologies
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related field.
