Director, Agent Marketing

Skills covered in University

About the role

Marketing now has two audiences: people, and the AI agents they ask for answers. Lead NVIDIA's agent marketing practice under the VP of Global Digital Marketing, guiding a small, influential team that builds AEO strategy, agent-readable content, and AI-native marketing workflows so NVIDIA is found, cited, recommended, and chosen in AI-assisted discovery.

What you'll do

• Define agent marketing: develop the approach, operational structure, and evaluation framework for how NVIDIA content, campaigns, web experiences, and priority audience journeys are found and understood by AI agents and human audiences.
• Make NVIDIA agent-readable by partnering with web, content, SEO, analytics, and product teams to improve page structure, technical depth, metadata, comparison content, FAQs, benchmark visibility, and answer quality across priority NVIDIA pages.
• Lead AEO (Answer Engine Optimization) and agent marketing as a key workstream, boosting NVIDIA's presence, citation frequency, and referral influence within AI-assisted discovery platforms such as ChatGPT, Perplexity, Gemini, Claude, Copilot, and emerging agent technologies.
• Activate developer-facing AEO through partnership with Developer Marketing, Developer Programs, product marketing, and web teams, improving how priority developer content, technical narratives, demos, tutorials, and proof points are found and referenced in AI-assisted discovery.
• Drive the creation of AI-powered AEO workflows that detect content gaps, track new audience questions, and suggest agent-readable updates, supporting global teams as they improve NVIDIA's visibility, citation quality, and referral influence.
• Expand AEO strategy throughout marketing, helping global groups apply agent engine optimization across campaigns, web experiences, content planning, message testing, personalization, insight synthesis, and performance optimization.
• Measure what matters: agent citation rate, AI referral traffic, developer acquisition, content engagement, community activation, account penetration, conversion quality, and campaign efficiency.
• Lead a high-impact center of excellence that defines and activates the strategy, standards, playbooks, and measurement model for agent experience marketing, so global teams can implement AEO and agent-readable content practices at scale.

What we're looking for

• 12+ overall years of demonstrated expertise in developer marketing, technical marketing, product marketing, growth marketing, content strategy, or digital marketing.
• 5+ years leading teams or major cross-functional initiatives in a matrixed global organization.
• Proven success marketing to developers, AI engineers, technical practitioners, infrastructure architects, or platform ecosystems.
• Solid grasp of AI, agentic AI, developer tools, APIs, SDKs, cloud infrastructure, open-source ecosystems, model deployment, inference, or accelerated computing.
• Consistent track record translating technical concepts into clear, credible narratives for both technical and business audiences.
• Experience building marketing programs across web, content, community, events, paid, email, social, partner, and sales enablement channels.
• Familiarity with search, SEO, AEO, LLM discovery behavior, content architecture, analytics, and digital measurement.
• Strong executive communication skills, including the ability to brief senior leaders, influence technical collaborators, and align teams around a new operating model.
• Bachelor's degree in marketing, communications, business, computer science, engineering, or a related field, or equivalent experience.
• Bonus: hands-on experience with AI developer ecosystems, open-source projects, agent frameworks, model APIs, SDKs, or cloud AI platforms; AEO, GEO, or SEO programs built to improve inclusion in AI-generated answers; familiarity with how developers evaluate platforms through documentation, GitHub, benchmarks, and peer validation; a point of view on how AI reshapes marketing operating models; experience with NVIDIA technologies such as NIM, Nemotron, CUDA, Omniverse, RTX, or Blackwell; and active participation in developer, AI, or open-source communities.

Posted

1 day ago · Aug 10, 2026