Senior Software Adoption Manager

NVIDIA NVIDIA · Semiconductors · CA · Remote

This role focuses on driving adoption and revenue growth of NVIDIA's AI software offerings (like NVIDIA AI Enterprise, NIMs, open models) by working through ecosystem partners (ISVs, OEMs, NPNs, NCPs) to reach enterprise customers. It involves translating business challenges to AI workloads, building solution architectures, developing go-to-market strategies, and managing pipeline within NVIDIA's sales methodology. The role requires deep vertical expertise and reporting insights back to leadership. It's a hybrid role blending sales, consulting, and business development, aiming to scale successful solutions across the ecosystem.

What you'd actually do

  1. Accelerate adoption and expansion of NVIDIA AI Enterprise software — including NVIDIA AI Enterprise, Run:AI, Omniverse, NIMs (NVIDIA Inference Microservices), and NVIDIA open models.
  2. Embed into partner sales teams (ISVs, OEMs, NPNs, NCPs) as the NVIDIA software Subject Matter Expert (SME), enabling partners to position, sell, and deliver NVIDIA-powered AI solutions to mutual enterprise customers.
  3. Translate customer business use cases to AI workloads and then to NVIDIA software solutions, building compelling solution architectures in partnership with technical and field teams.
  4. Develop joint GTM plays with ecosystem partners that turn vertical wins into replicable, scalable playbooks.
  5. Engage strategic and named accounts to deepen adoption, expand usage, and — where possible — help customers build and monetize their own AI-powered services.

Skills

Required

  • Bachelor's degree or equivalent experience
  • 12+ years in enterprise software sales, business development, consulting, or a hybrid of these
  • Demonstrated experience engaging through and with ecosystem partners: ISVs, OEMs, or channel/solution partners
  • Strong ability to connect business problems to technical solutions — comfortable leading both executive business conversations and workload-level discovery
  • Value-selling rigor: able to build executive business cases and lead complex, multi-stakeholder sales cycles
  • Project management instincts with the ability to orchestrate multiple moving pieces across customers, partners, and internal teams
  • Ability to travel domestically 25–40% as needed

Nice to have

  • Familiarity with AI/ML infrastructure, GPU-accelerated computing, or enterprise AI platforms
  • Experience with software supporting large language models (LLMs), inference microservices, cluster management, or adjacent technologies
  • Background in AI adoption, technical enablement, or solution consulting
  • Experience structuring and closing large enterprise software or platform agreements
  • Prior work in ISV-led or partner-led GTM motions

What the JD emphasized

  • consistent track record of measurable outcomes
  • Demonstrated experience engaging through and with ecosystem partners
  • Strong ability to connect business problems to technical solutions
  • Value-selling rigor
  • Project management instincts