CMO · Co-Founder · GTM Strategist
Andrew McGrath is a fractional CMO and startup co-founder based in the San Francisco Bay Area. He builds go-to-market infrastructure for enterprise AI companies, from positioning and outbound systems to the operating cadence that turns early traction into repeatable revenue.
Practice
Co-Founder & CMO
Andrew McGrath co-founded Vesara with Andrew Boos to build AI advisory and go-to-market infrastructure for enterprise. Through Vesara, he runs GTM practice and publishes the Enterprise AI Playbook, a weekly operator’s field guide to deploying AI fleets across real organizations.
Visit vesara.aiFractional CMO
Through Darwinian Ventures, Andrew serves as fractional CMO for AI-native startups. Engagements span GTM strategy, positioning, outbound systems, paid acquisition, and marketing automation, always with the goal of leaving behind repeatable systems, not a stack of one-off campaigns.
Visit darwinian.comLinkedIn Newsletter
The Enterprise AI Playbook is Andrew’s weekly newsletter on enterprise AI strategy, GTM for technical products, and the operator’s view of what is actually working. It is published under the Vesara brand on LinkedIn.
Read the newsletterBuilder
Andrew codes the way he runs go-to-market: operator-first, full-stack, and biased toward systems that keep working after the demo ends. Day to day that means TypeScript and Python for product and automation, React and Node for operator interfaces, C# and Unity for game and simulation work, Solidity when onchain pieces matter, and Postgres, Docker, Git, and Linux underneath it all.
On the agents and GTM side, he has built voice-first AI agent fleets, outbound command centers, lead and sequence tooling, marketing automation, content and reporting workflows, SEO and AEO systems, paid acquisition creative pipelines, and enterprise AI GTM infrastructure for zero-to-one and one-to-ten teams. The through-line is the same whether the surface is a campaign, a command center, or an agent fleet: ship the motion, instrument it, and leave behind something repeatable.
