
Eric Quanstrom is the Vice President of Go-To-Market Engineering at Apollo.io, an AI-powered sales intelligence and engagement platform that helps businesses build pipeline and grow revenue. He leads initiatives that help customers optimize GTM strategies, improve sales efficiency, and leverage data and AI to create better revenue outcomes. Eric brings more than a decade of experience in technology, marketing, and growth, previously serving as CMO at Cience. His expertise spans demand generation, sales development, and building scalable go-to-market systems.
In this episode…
Sales teams have more AI, data, and automation than ever, but getting a buyer's attention still comes down to relevance. So how can teams use these tools to work smarter without losing the human side of sales?
GTM expert Eric Quanstrom believes the answer starts with relevance, better buyer signals, and keeping humans involved in AI-assisted selling. Rather than chasing larger lead lists, teams should focus on fewer, higher-quality prospects, use intent and timing signals to prioritize outreach, and apply AI to create messaging that reflects each buyer's needs and goals. Eric also emphasizes reducing friction across the sales tech stack so reps can spend more time having meaningful conversations. Used thoughtfully, AI can improve sales efficiency while making outreach more personal, timely, and useful.
In this episode of the Revenue Engine Podcast, Alex Gluz talks with Eric Quanstrom, VP of Go-To-Market Engineering at Apollo.io, about sales efficiency in the AI era. Eric covers buyer relevance, AI-assisted personalization, and smarter lead prioritization. He also explores sales automation, customer acquisition costs, and the future of human-led selling.
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