Lauren Mae is a fractional marketing lead and agentic systems builder, working with Web3 projects that need someone to own their marketing function, not just execute within it.
Six years in Web3, a decade in marketing. Previously at Algorand Foundation, Decentraland, and Concordium, each at a different stage, each with a different brief. At Algorand, that meant content and education at scale, including work connected to the Blockchain Academy in partnership with the United Nations Development Programme. At Decentraland, narrative positioning and product messaging across a live, complex ecosystem. At Concordium, web copy and thought leadership for an institutional audience.
What that work made clear: the gap between what a Web3 project actually is and how it gets understood—by the right people, by press, by AI systems—is almost always structural. The information is incomplete, inconsistently told, or not reaching the places that matter. More content doesn’t fix it. Better architecture does.
That thinking has evolved alongside the tooling. The last year has been spent building and deploying marketing AI agents—automated prospecting pipelines, outreach systems, content infrastructure—the kind of agentic marketing systems that make the marketing motion run without depending on constant manual input. It’s AI-powered marketing in practice, not in theory.
She now works with Web3 teams ready to build that motion properly—embedding as a fractional marketing lead, owning the strategy and narrative, and building the agentic systems behind it. The work is project-based or retained, shaped around what the team actually needs.
If that sounds like your stage, the best starting point is a conversation.
