Product Manager
Introduction
We are seeking a skilled Technical Product Manager to join our team and lead strategic initiatives that advance the capabilities and adoption of IBM Software Hub. This role will focus on defining product vision, optimizing platform efficiency, and driving innovation through cloud-native and AI-driven solutions. Our team operates at the forefront of enterprise software management, enhancing the way IBM's Data and AI services are deployed, monitored, and scaled. The ideal candidate will bring a strategic mindset, deep technical expertise, and enthusiasm for leveraging emerging technologies to deliver exceptional customer value. This position provides an opportunity to significantly influence IBM Software Hub's market impact, customer satisfaction, and product innovation. Join us and play a pivotal role in transforming how enterprises manage their data and AI workflows.
Your role and responsibilities
Key Responsibilities
Define and communicate the product vision and roadmap, ensuring alignment with strategic business objectives and customer needs.
Conduct market analysis, competitive benchmarking, and customer research to identify new product opportunities and enhancements.
Develop clear and detailed requirements, user stories, and acceptance criteria in collaboration with engineering, architecture, and UX teams.
Manage the product lifecycle from conception through launch and continuous improvement.
Work closely with cross-functional teams to deliver timely, high-quality product releases.
Engage with customers and stakeholders to gather feedback, validate assumptions, and ensure product-market fit.
Create and deliver compelling presentations, demonstrations, and training sessions for internal teams and external customers.
Define and track key performance indicators (KPIs) to measure product success, drive adoption, and continuously refine product strategy.
Collaborate with Go-to-Market teams to develop positioning, messaging, pricing strategies, and customer enablement materials.
Soft Skills:
- Skilled at translating complex technical topics into clear, compelling narratives suitable for both technical and non-technical audiences.
- Takes end-to-end accountability for delivering product value from concept to customer success.
- Eager to explore and leverage new technologies, data trends, and customer workflows to drive innovation.
- Monitor and analyze market trends, competitor offerings, and customer feedback to continuously identify opportunities for innovation and differentiation.
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We are seeking an experienced Technical Product Manager to drive the evolution, growth, and customer adoption of IBM Software Hub. The ideal candidate will own the product roadmap, prioritize features, and collaborate closely with engineering, sales, marketing, and customer success teams to deliver exceptional value to our clients.
Key Responsibilities:
- Define and communicate the product vision and roadmap, ensuring alignment with strategic business objectives and customer needs.
- Conduct market analysis, competitive benchmarking, and customer research to identify new product opportunities and enhancements.
- Develop clear and detailed requirements, user stories, and acceptance criteria in collaboration with engineering, architecture, and UX teams.
- Manage the product lifecycle from conception through launch and continuous improvement.
- Work closely with cross-functional teams to deliver timely, high-quality product releases.
- Engage with customers and stakeholders to gather feedback, validate assumptions, and ensure product-market fit.
- Create and deliver compelling product presentations, demonstrations, and training sessions for internal teams and external customers.
- Define and track key performance indicators (KPIs) to measure product success, drive adoption, and continuously refine product strategy.
- Collaborate with Go-to-Market teams to develop positioning, messaging, pricing strategies, and customer enablement materials.
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
- Education: Bachelor's Degree required.
Required Technical and Professional Expertise:
- 3+ years of technical product management experience with cloud-native platforms, Data and AI software, or enterprise data solutions
- 3+ years leveraging data-driven insights for product prioritization and strategic decision
- 3+ years managing agile product delivery, including requirements definition, backlog management, and User Acceptance Testing.
- 1+ year of technical expertise in AI, foundation models, and related technologies.
- Exceptional communication and problem-solving skills, effectively bridging technical and business needs.
- Strong knowledge of cloud-native technologies, Kubernetes, and DevSecOps practices.
Preferred technical and professional experience
- Prior experience with IBM Cloud Pak for Data or comparable Data and AI platform is plus
- Knowledge of IBM Data and AI Products and Solutions is a plus
- Familiarity with Agile methodologies and tools such as AHA and Git.
- Experience in enterprise software licensing and product monetization strategies.
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
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