Jeff Petersen

I’ve worked on AI products from both sides: inside a large enterprise bringing AI products from strategy through adoption, and as a founder designing and building products directly for clients and new ventures. At Verizon, I helped shape multi-quarter roadmaps for internal AI personalization products and worked across end users, product, engineering, IT, and PMO to move initiatives from idea through implementation. The AI-personalized experiences we launched produced measurable improvements in both click-through and conversion. Through Kingside, I’ve built and shipped AI agents, a multi-tenant CRM, lead and outreach systems, vision-AI applications, operational workflows, integrations, and model-evaluation infrastructure. I’ve also advised venture teams on model selection and AI product strategy. What makes my perspective a little different is the 15 years I spent in training, enablement, sales, and GTM before becoming a hands-on builder. I tend to think about the entire product problem: who it’s for, what job it needs to do, what the smallest useful version looks like, how much autonomy AI should have, and what has to happen for people to actually adopt it. I can help you pressure-test an idea, define the use case, scope an MVP, prototype it, make architecture and model decisions, design guardrails and evaluations, and build a practical roadmap from concept to something people can use.