Director, Agentic AI Platform, Enterprise ISV and Infrastructure GTM - EMEA

Posted 4 Days Ago
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2 Locations
In-Office or Remote
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads NVIDIA’s EMEA go-to-market strategy across agentic AI platforms, open models, enterprise and infrastructure ISVs, cloud providers, marketplaces, and partner ecosystems. The role prioritizes strategic partners and workloads, builds executive relationships, drives partner-led software revenue programs, and mentors regional leaders. Candidates need 15+ years in enterprise software, cloud, AI platforms, alliances, technical sales, or ecosystem leadership, including extensive team management experience.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are bringing three EMEA programmes under one leader: Agentic AI Platform GTM, Enterprise ISV and Cloud GTM, and ISV Infrastructure GTM. Our work connects open models, regulated software hardening, confidential computing, enterprise ISVs, cloud routes, global ISV promote-and-scale, and infrastructure ISVs into one path to adoption, so our partners and the customers they serve can put agentic AI into production.

What you'll be doing

  • Lead our EMEA go-to-market strategy and rhythm across Agentic AI Platform, Open Models and Nemotron, supervised software hardening, confidential computing and cybersecurity, Enterprise ISV and Cloud GTM, Global ISV promote-and-scale, and ISV Infrastructure GTM.

  • Compose how we prioritise partners and workloads across enterprise ISVs, cloud routes, infrastructure ISVs, MLOps partners, data and platform partners, OEMs, cloud providers, GSIs, and solution advisors.

  • Build executive relationships with strategic enterprise ISVs, infrastructure ISVs, cloud partners, GSIs, OEMs, and priority customers.

  • Mentor our leaders and senior individual contributors across agentic AI platform GTM, open models, supervised industries, confidential computing, enterprise ISV and cloud GTM, and infrastructure ISV work.

What we need to see

  • Bachelor's or master's degree in Business, Computer Science, Engineering, or equivalent experience.

  • 15+ overall years in enterprise software, ecosystem GTM, cloud, AI platform, ISV alliances, technical sales, or platform leadership, including 10+ or more years leading teams.

  • Experience guiding partner-led software revenue programmes across enterprise ISVs, infrastructure ISVs, cloud providers, GSIs, OEMs, marketplaces, or enterprise platform ecosystems.

  • Strong understanding of agentic AI, open models, AI Factory architecture, AI infrastructure, MLOps, data platforms, cloud marketplaces, and enterprise deployment patterns.

  • Deep knowledge of leading open and open-weight models such as Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, and Mistral, and how open and sovereign models create partner and workload opportunities.

  • Commercial judgement across partner business plans, pipeline reviews, co-sell, marketplace routes, proof-of-value governance, and promote-and-scale execution.

  • Credibility with customers, partners, regional leadership, and global product and field stakeholders.

  • Ability to simplify a broad ecosystem into clear priorities, named owners, repeatable field plays, and measurable software uptake.

Ways to stand out from the crowd

  • Experience scaling agentic AI, open and sovereign model adoption, enterprise software platforms, cloud marketplaces, or AI Factory partner ecosystems.

  • Background with strategic enterprise ISVs, infrastructure partners, data platforms, or AI platform ecosystems.

  • Familiarity with AI Enterprise, Run:ai, or Mission Control, plus a record of leading through change, including team redesign, partner prioritisation, and ecosystem segmentation.

  • Real passion for mentoring senior people and sharing what you learn as you go!

NVIDIA supports a flexible work environment where you are empowered to manage your work-life balance. 60% Travel, some international, may be required.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Skills Required

  • Bachelor's or master's degree in Business, Computer Science, Engineering, or equivalent experience
  • 15+ years of experience in enterprise software, ecosystem go-to-market, cloud, AI platforms, ISV alliances, technical sales, or platform leadership
  • 10+ years of experience leading teams
  • Experience guiding partner-led software revenue programs across enterprise ISVs, infrastructure ISVs, cloud providers, GSIs, OEMs, marketplaces, or enterprise platform ecosystems
  • Strong understanding of agentic AI, open models, AI Factory architecture, AI infrastructure, MLOps, data platforms, cloud marketplaces, and enterprise deployment patterns
  • Deep knowledge of leading open and open-weight models, including Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, and Mistral
  • Commercial judgment across partner business plans, pipeline reviews, co-sell, marketplace routes, proof-of-value governance, and promote-and-scale execution
  • Credibility with customers, partners, regional leadership, and global product and field stakeholders
  • Ability to simplify broad ecosystems into clear priorities, owners, repeatable field plays, and measurable software uptake
  • Experience scaling agentic AI, open or sovereign model adoption, enterprise software platforms, cloud marketplaces, or AI Factory partner ecosystems
  • Background with strategic enterprise ISVs, infrastructure partners, data platforms, or AI platform ecosystems
  • Familiarity with AI Enterprise, Run:ai, or Mission Control
  • Experience leading organizational change, team redesign, partner prioritization, and ecosystem segmentation

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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