Matteo Tittarelli and a co-speaker argue that GTM engineering doesn't make one person do the work of ten. Instead it doubles or triples output by coordinating AI agents. Anthropic and OpenAI claim they don't need these roles yet keep hiring them.
Does that mean that, you know, GTM engineering has literally unlocked the capabilities for one person to do the work of 10? Or do you reckon that's the wrong framing?
I think it's the wrong framing. I think that can definitely be, again, like depending on the size of your company, like absolutely, like you can have a person running an army of agents that can do multiple things. But I think if you look at like the fastest growing companies in the world, like, and I think of two, like, you know, Anthropic and OpenAI, they're hiring for two profiles. They're basically telling you, you don't need engineers, and yet they're hiring like for a ton of engineers. And they tell you that you don't need go-to-market people because AI can do it, and they're hiring a ton of account executives. And so I think the way I think about GTM engineering and sort of like this workflow is that they're a force multiplier. It's more like, hey, can we double the output of a person? Can we 3x what that person's output expected was, the expected output was? And I think if you think about it that way, you're building in a scalable way.
Roll Claude out from one laptop to the whole GTM org | Sam Gong & Zach Vidibor
