The Science of Scaling & AI - Mark Roberge

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Proven Podcast 1h 9m 2 speakers 4 chapters transcribed 1 month ago
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What is the main topic discussed in this episode?

Charles Schwartz 0:00
Welcome to The Proven Podcast, where I don't care what you think, only what you can prove. Normally, I go into a long list of who the person is and what's going on. Sure, I could talk about Mark exiting out of HubSpot, and the fact that he's run a fund, and the fact that he's a professor at Harvard, and the fact that he's been rigorous and broken down the science of scaling in such a way that I've already changed how I operate my businesses after I got off the call with him. But that's not the exciting part of this episode. This episode is absolutely my favorite of the year because he breaks down not only where AI is going to be for the next 30 minutes, but where it's going to be in the next 30 days and more so the next 30 years.
Charles Schwartz 0:36
How it's a fundamental change of how we run our orgs, how it changes leadership, and how it changes scaling across the board. This is one of those episodes where you stop, take a breath, and then re-listen to it. That show starts now. All right, everybody, welcome back to the show. Mark, I'm excited to have you on, man.
Mark Roberge 0:51
Thanks, Charles. Great to be able to jam with you here.
Charles Schwartz 0:54
So for the four or five people on this planet that don't actually know who you are, which is wild to me, can you give a little bit of heads up? Who are you? What have you done?
Mark Roberge 1:01
Oh, come on. There's a lot of people that don't. Yeah, I guess at the foundation, I'm a tech entrepreneur. I've just found variant ways to express it. So in the first part of my career, probably about 15 years, I started three companies, three or four. The last one is the one I'm most known for, HubSpot. I was the fourth employee there, joined as the first salesperson, and then was the founding CRO through the IPO over a nine-year period. That ended back in like 2013. Um, in the, uh, uh, the goal to take a minor break, uh, I was fortunately recruited to join the faculty full-time at Harvard business school to teach sales, uh, to the MBA program, build and teach the sales program, which I still do, uh, 13 years later.
Mark Roberge 1:47
Uh, so that's been a blast and has been quite instructive to some of the things that we're going to talk about here and the pattern recognition that comes from that post. And then eight years ago was approached by a gentleman at Bessemer Venture Partners to start the first VC firm running back by the best sales and marketing leaders in tech, which we have done. It's called Stage 2 Capital. We have four funds that we have raised and deployed across 150 startups. And that also has been quite instructive to what we're about to talk about today.
Charles Schwartz 2:21
Yeah. So there's a lot there. There's HubSot, there's Harvard, there's Stage 4. There's a bunch of stuff you're doing that's moved around. You and I have started at kind of the same start line, but then you outran me within about three seconds. So thank you for that.
Unknown 2:34
Oh, come on, Dan.
Mark Roberge 2:35
Um, just different expressions. Yeah. And actually I forgot Charles, which partially we're talking about today too, is I've written two books, uh, one, the sales acceleration formula 12 years ago after HubSpot and more recently published the science of scaling, which we can, you know, weave in today. Um, we'll talk a little bit about it and I'm, I've donated the proceeds to all, to both of them, to different causes. The most recent one with signs of scaling a hundred percent is donated to mental health. So we might be able to take a little tangent on why they're, uh, during our discussion.
Charles Schwartz 3:04
Let's go right into that tangent. If you want to, let's, let's talk about why we'll do it toward the end.
Mark Roberge 3:08
It's all good. Yeah.
Charles Schwartz 3:10
Yeah. All right.

Who is Mark Roberge and how did he build HubSpot’s revenue engine?

Charles Schwartz 3:10
So everyone talks about the scaling and how important this is and all that, but most people are terrified of AI right now. And they don't understand that artificial, it doesn't mean artificial intelligence. It means always incorrect at the moment, but that's going to change. And the next, you know, 12 to 36 months, how do you scale and leverage AI versus just being terrified of it? That's going to eat you alive.
Yeah.
Mark Roberge 3:31
Oh yeah. Everyone's talking about that right now.

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