Senior Product Marketing Manager

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Product Marketing Manager for NVIDIA's Manufacturing industry solutions, focusing on go-to-market strategy and partner co-marketing for AI-accelerated CAE workflows and agentic AI in engineering and manufacturing.

What you'd actually do

  1. Own the go-to-market strategy, program planning, and delivery for NVIDIA Manufacturing industry solutions in collaboration with Workstation and Datacenter OEMs.
  2. Drive co-marketing engagements across OEM, ISV, and reseller partners to accelerate solution adoption.
  3. Define and develop the Manufacturing partner ecosystem for enterprise workloads, aligning hardware, software, and AI solutions.
  4. Craft compelling product and solution messaging, positioning, and public communications targeting developers, engineers, and enterprise customers.
  5. Launch new solutions by coordinating cross-functional teams including product management, engineering, technical marketing, campaign marketing, and PR.

Skills

Required

  • Product Marketing
  • Go-to-market strategy
  • Partner marketing
  • Messaging and positioning
  • Sales enablement
  • Market analysis
  • Manufacturing industry workflows
  • HPC
  • CAE
  • AI-accelerated engineering
  • Edge computing
  • Multi-physics compute infrastructure
  • Technical expertise
  • Marketing strategy
  • Business insight
  • Cross-functional collaboration
  • Product launch
  • Communication skills
  • Collaboration
  • Influence
  • Decision-making

Nice to have

  • Experience marketing Manufacturing industry ISV solutions
  • OEM and partner co-marketing program leadership
  • MS or MBA

What the JD emphasized

  • 12+ years of product, industry, or related marketing experience within Manufacturing or Engineering-focused software or hardware companies.
  • Deep understanding of Manufacturing workflows across product design, engineering, simulation (CAE), manufacturing, and operations.
  • Strong knowledge of HPC, CAE, AI-accelerated engineering, edge, and multi-physics compute infrastructure.