Product Marketing Manager- IBM AI Models

IBM - New York, NY

Full-time

New York, NY

Computer and Electronic Product Manufacturing

About the position

The Product Marketing Manager for AI Models will lead marketing efforts for the Granite family of AI models, focusing on enhancing market share and relevance among developers. This role involves creating compelling value propositions, driving cross-campaign marketing initiatives, and collaborating with various teams to support product awareness and client acquisition. The position aims to connect differentiated points of view with target audiences, measured by key performance indicators such as customer retention and market segment share.

Responsibilities

• Act as the market catalyst for Granite models, providing guiding views on key problems, competitors, and differentiators grounded in data.
• Identify opportunities, distinctive competencies, and positioning for Granite.
• Translate technology into marketing messages and compelling stories that influence analysts, customers, and partners towards Granite.
• Act as the launch linchpin that galvanizes internal support across all channels and drives demand for the offerings.
• Stay active in customer conversations at events or in the field and online.

Requirements

• Experience in Product or B2B Marketing.
• Experience creating marketing business plans.
• Interest in generative AI and related technologies.
• Experience working and communicating with groups of different backgrounds and skills to enable collaboration.
• Experience managing multiple priorities at once, prioritizing tasks, and shifting in an environment of continuous change.

Nice-to-haves

• Experience working with the developer community
• Experience in a high technology field, preferably related to AI
• Deep understanding of go-to-market strategies
• Experience developing audience strategies (e.g., understanding and prioritizing potential audiences based on key behaviors/characteristics)
• Client experiences design & measurement (e.g., using technology to measure and improve the customer experience and translate data into meaningful actions)