SAP-posted 9 months ago
$133,100 - $276,800/Yr
Full-time • Mid Level
Bellevue, WA
Publishing Industries

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. The Team: Artificial Intelligence (AI) is reshaping how businesses operate, and SAP Business AI is at the forefront of this transformation. SAP embeds AI across our entire portfolio, helping organizations drive efficiency, make smarter decisions, and unlock new business opportunities. SAP's Business AI mission is to accelerate AI adoption across SAP's enterprise applications and redefine business productivity. As the AI Product Marketing Manager, you will play a critical role in shaping how SAP's AI capabilities are positioned, adopted, and leveraged across industries and business functions. SAP's AI Foundational capabilities and innovation serve as the core of this transformation, providing the infrastructure, models, and AI-driven capabilities that power multiple SAP solutions across industries and business functions. AI Foundation technologies enable scalability, reliability, and innovation by ensuring a strong technical and strategic backbone for SAP's Business AI offerings.

  • Develop and execute a marketing strategy and plan, including the creation of core content, for a part of the Business AI portfolio ensuring clear differentiation and market leadership.
  • Craft compelling messaging and storytelling that highlights the power of Business AI capabilities and products.
  • Create high-quality demonstrations and technical narratives to showcase how SAP's Business AI helps drive business transformation.
  • Collaborate with SAP's product, engineering, and sales teams to ensure AI capabilities are well-positioned across all marketing and enablement channels.
  • Lead cross-functional go-to-market efforts, ensuring strong alignment with SAP's broader AI strategy.
  • Track AI market trends, competitive insights, and customer feedback to refine SAP's Business AI positioning and content.
  • Engage with customers, analysts, and industry influencers to establish SAP's thought leadership in enterprise AI infrastructure.
  • Support SAP's flagship events and marketing activations, ensuring Business AI is well-represented in SAP's AI messaging.
  • Drive thought leadership efforts by creating and amplifying content such as blogs, whitepapers, customer stories, and executive presentations, as well as identifying opportunities for speaking engagements, webinars, and industry events.
  • 8+ years of experience in product marketing, AI strategy, or related roles in enterprise software, AI, or cloud technology.
  • Bachelor's degree in Marketing, Business, Computer Science, or a related field (Master's/MBA preferred).
  • Experience with AI-powered platforms, cloud infrastructure, and SaaS solutions.
  • Deep understanding of AI technologies, including AI infrastructure, large language models, and enterprise AI applications.
  • Experience in B2B product marketing, focusing on AI platforms, cloud infrastructure, or developer tools.
  • Strong ability to translate complex AI concepts into compelling marketing narratives for business and technical audiences.
  • Storytelling expertise, with a track record of creating engaging content, technical demos, and keynote presentations.
  • Experience working cross-functionally across product, engineering, sales, and marketing teams to align messaging and drive adoption.
  • Strong analytical skills to assess customer insights, market trends, and competitive positioning.
  • Proven ability to simplify complex concepts, making AI infrastructure and models accessible to enterprise customers.
  • Flexible working models
  • Health and well-being programs
  • Learning and development opportunities
  • Recognition for individual contributions
  • Diversity and inclusion initiatives
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