Senior Product Marketing Manager, Cloud Accelerator

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Product Marketing Manager for NVIDIA Cloud Accelerator (NCX) team, focusing on AI infrastructure software. The role involves defining positioning, messaging, go-to-market strategy, and creating compelling narratives for partners and internal teams. Requires strong technical understanding of AI infrastructure, Kubernetes, GPU clusters, and inference platforms, with a focus on translating complex capabilities into clear customer value.

What you'd actually do

  1. Orchestrate the positioning and narrative for NCX, building value propositions that connect with both technical operators and business leaders.
  2. We will work together to launch new infrastructure software, where you will guide the go-to-market execution and ensure our messaging is consistent across blogs, web content, and partner materials.
  3. Cultivate deep collaborations with NVIDIA Cloud Partners (NCPs), CSPs, and infrastructure ISVs to develop joint stories that highlight how we accelerate time to deployment and operational maturity.
  4. By translating sophisticated GPU clusters and Kubernetes architectures into clear business value, your work will serve as the essential bridge between our engineering breakthroughs and the broader AI ecosystem.

Skills

Required

  • 10+ years of experience in B2B product marketing, technical marketing, or related roles within cloud/AI infrastructure or platform software
  • Bachelor’s degree in a technical or business field, or equivalent experience
  • Technical Curiosity: A strong understanding of areas like Kubernetes, GPU clusters, inference platforms, or distributed systems.
  • Strategic Execution: A proven ability to shape GTM plans and positioning for highly technical platforms.
  • Communication: Outstanding writing and storytelling skills, with the ability to unite cross-functional stakeholders and executives.
  • Adaptability: The ability to work proactively, navigate evolving projects, and thrive in a highly collaborative setting.

Nice to have

  • Deep familiarity with "AI Factory" infrastructure or cloud-native AI platforms.
  • Experience marketing software specifically for service providers or platform operators.
  • Understanding of open-source models and ecosystem-led growth.
  • An MBA or an equivalent blend of business and technical growth.

What the JD emphasized

  • strong technical marketer
  • AI infrastructure
  • complex platform capabilities
  • clear positioning
  • compelling narratives
  • high-quality go-to-market execution
  • blueprint for modern AI infrastructure
  • IaaS and PaaS layers
  • provisioning
  • GPU health
  • multi-tenancy
  • observability
  • open-source, modular, composable infrastructure software
  • build, scale, and operate AI factories faster
  • strengthen partner platforms
  • lead product marketing
  • key NCX initiatives
  • infrastructure software
  • ecosystem enablement
  • partner adoption
  • define positioning and messaging
  • develop launch plans
  • compose technical and business narratives
  • build high-impact assets
  • NVIDIA Cloud Partners (NCPs)
  • cloud service providers (CSPs)
  • infrastructure ISVs
  • internal field teams
  • highly cross-functional role
  • strategic judgment
  • hands-on execution
  • go deep on architecture
  • understand operator struggles
  • translate platform capabilities
  • clear customer value
  • 10+ years of experience in B2B product marketing, technical marketing, or related roles within cloud/AI infrastructure or platform software
  • Bachelor’s degree in a technical or business field, or equivalent experience
  • strong understanding of areas like Kubernetes, GPU clusters, inference platforms, or distributed systems
  • proven ability to shape GTM plans and positioning for highly technical platforms
  • Outstanding writing and storytelling skills
  • unite cross-functional stakeholders and executives
  • work proactively
  • navigate evolving projects
  • thrive in a highly collaborative setting
  • Deep familiarity with "AI Factory" infrastructure or cloud-native AI platforms
  • Experience marketing software specifically for service providers or platform operators
  • Understanding of open-source models and ecosystem-led growth