IBM Data Platform is building the leading hybrid AI and Data product for enterprises. As our portfolio expands across agentic AI governance and data infrastructure clear and competitive pricing and packaging strategies are essential to scale. IBM is defining how modern enterprise platforms are built delivered and monetized. Are you ready to help shape that transformation and grow your career in commercial strategy? If so let’s talk.
We are seeking a detail-oriented and analytical Product Operations professional to support pricing and packaging strategy for IBM’s Data & AI portfolio. This role focuses on helping product teams define implement and optimize pricing and packaging models that drive adoption and revenue growth.
You will collaborate with product managers finance and go-to-market teams to ensure pricing structures are competitive transparent and aligned with IBM’s commercial objectives. This is an excellent opportunity to gain hands-on experience in commercial strategy and product operations within a fast-evolving technology space.
Key Responsibilities:
- Assist in developing and maintaining pricing and packaging models for IBM Data & AI products.
- Conduct competitive analysis on pricing strategies and market trends.
- Support internal modeling and scenario planning for new offerings and portfolio changes.
- Collaborate with finance and product teams to track pricing performance and identify optimization opportunities.
- Help prepare pricing documentation sales enablement materials and dashboards for internal stakeholders.
- Contribute to launch readiness activities by ensuring pricing and packaging details are accurate and communicated effectively.
- Maintain clear records and documentation to support transparency and decision-making.
- Bachelor’s degree in Business Technology or related field.
- Strong analytical and organizational skills with proficiency in Excel or similar tools for modeling.
- Familiarity with pricing concepts product lifecycle management and go-to-market planning.
- Excellent written and verbal communication skills.
- Self-starter with attention to detail and eagerness to learn.
- Master’s degree in Business Technology or related field.
- Experience with pricing tools or financial modeling software.
- Exposure to enterprise AI data platforms or SaaS pricing models.
- Bachelor’s degree in business economics or related field; advanced degree is a plus.