Frank La Vigne

Technical Product Marketing | AI Infrastructure | Enterprise AI Platforms | Executive Briefings | Technical GTM | RAG / MLOps

ClearMLex-Red Hatex-Koverse, Inc., An SAIC Company

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I work at the intersection of AI infrastructure and the people who need to understand, buy, deploy, and scale it.

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My background spans technical product marketing, technical evangelism, enterprise architecture, and AI platform go-to-market across Red Hat, Microsoft, startups, and enterprise consulting. I specialize in translating complex technical systems into narratives that actually hold up, whether the audience is architects, developers, sellers, partners, or executive decision-makers. That means creating: solution briefs technical whitepapers product narratives and positioning sales and partner enablement executive briefings technical demos workshops webinars hands-on technical content Today at Red Hat, I help shape the technical go-to-market story for enterprise AI platforms, working directly with customers, product teams, engineering, partners, and field sellers. I stay hands-on with the technology because technical credibility matters. That includes active work with LLMs, RAG architectures, agentic workflows, synthetic data, model evaluation, Kubernetes-based AI platforms, and hybrid enterprise AI deployment models. I regularly support enterprise AI customer engagements, executive briefings, technical workshops, and partner enablement, helping organizations move from curiosity and experimentation toward real evaluation, adoption, and production deployment. Before Red Hat, I worked across Microsoft, startups, and consulting, helping organizations adopt cloud, AI, and data platforms. In many of those roles, I served as the technical translator between engineering depth and executive decision-making. Outside of work, I host the Data Driven podcast, build hands-on AI workshop environments, and spend a probably unreasonable amount of time experimenting with emerging AI systems. If your challenge is making complex technical platforms understandable, credible, and actionable, we should talk.