The {Closed} Session Spotlight Series showcases a different co-founder from the super{set} portfolio every episode. Today's guest is Lindsey Meyl, Co-founder at RevAmp (rev-amp.ai), a "Datadog for RevOps" platform that offers observability across the revenue engine, monitoring performance, flagging when something is amiss, and determining the root cause of how to fix it.
The {Closed} Session Spotlight Series showcases a different co-founder from the super{set} portfolio in every episode. Today's guest is Lindsey Meyl, Co-founder at RevAmp (rev-amp.ai), a "Datadog for RevOps" platform that offers observability across the revenue engine, monitoring performance, flagging when something is amiss, and determining the root cause of how to fix it.
Lindsey Meyl is an “entrepreneur by accident” - a serial startup employee who joined Tom and Vivek across multiple builds at Krux, Habu, Ketch, and more, who typically swooped in at the Series, A, B and beyond to lead direct sales, sales management, and sales operations. After seeing the same problems and patterns across the companies she was working with across super{set}, she went all-in on the RevAmp opportunity at super{set}. Lindsey says, "We cannot keep operating off of CRM data infrastructure from the 90s."
RevAmp (rev-amp.ai) inspects, identifies, and intervenes. RevAmp inspects by analyzing data sources to uncover insights related to volume, conversion, and timing within the customer journey and across key indicators like ICP, roles, and segments. RevAmp’s algorithm identifies and detects revenue growth opportunities and potential risks based on this data. And RevAmp intervenes, responding with trigger alerts and automated fixes to address issues.
RevAmp is hiring! Find open roles, including Head of Product and Head of Engineering, here: https://careers.superset.com/companies/revamp-2#content
Welcome to the closed session, how to get paid in Silicon Valley with your host, Tom Chavez and Vivek Vaidya.
Tom: Let's jump in here with a mini series here. This is our spotlight, where we like to pass the mic to members of the hive and let them introduce themselves and share a little bit of color on company building what's going on from their perch. So it's such a pleasure to welcome Lindsey Meyl, who's with us here, co-founder of a new formation inside super{set} called RevAmp. Lindsey, welcome.
Lindsey: Yes. Hi, guys. Thanks for having me.
Vivek: Yeah. So Lindsey, give us the elevator pitch on RevAmp. What is it... what does it do?
Lindsey: RevAmp is monitoring and observability for the go-to-market. So what does that mean exactly? Sometimes we like to call ourselves the data dog for revenue. When you think about the people, processes, and systems that drive efficient revenue, uh, the way that a lot of the problems that happen within these important pillars, usually, it requires people to analyze and monitor dashboards to find the problem and then analyze the root cause. Uh, we're bringing AI and data to the core of what is going to solve this problem so that machines can monitor hundreds of thousands of potential failure points in your operations, inspect the so what and root cause in something we call identify, and then intervene, which can be both a notification layer as well as a programmatic layer that can go directly into the system or process that was built and automatically fix it in the context of the so what that was found.
Tom: Inspect, identify, intervene. Sounds like three key things. There we are again, right? So super{set}...
Lindsey: Yes, exactly.
Tom: ...stage wise kind of pattern that we like to employ. So Lindsey, what, talk to us about the people you're working with. Who do you want to have work alongside you? What makes them extraordinary?
Lindsey: The people that, uh, well, I, I think it goes on on both ends. So what I love the most about this stage, and it's a perfect use case for RevAmp is and directly super{set} is a lot of the folks that we're working the most closely with to make RevAmp a reality is actually from the super{set} group. So our product lead, our engineering lead to get us up and running have directly come from super{set} resources. Um, and I can promise you we would not be where we are today if it wasn't for that immense talent and also just the clock speed that things are getting done because, uh, the team knows the motion and the right ways to create the product and get to market. And now we're actually going through a Head of Product and Head of Engineering search. So that the super{set} talent can hand the baton to the folks that will take RevAmp to our next stage. And I think as far as the personalities, I mean, I've been working with you guys for close to 10 years now. So I think, I think a lot of, uh...
Tom: Been more than a minute
Lindsey: Yeah exactly, just a minute. I think this really just comes down to people you, you don't mind going to battle with people that are going to challenge you and call you out when, when you actually need another point of view. There's nothing worse than, than yes men and just always being told you're right and this is not a group that will do that. I think the other part that's really important to me is I absolutely adore the customer engagement at this stage. Uh, because it goes, it goes so deep. Our what we call design partners at the moment, are just as committed to, uh, the products we've built and just as committed to solving the core problem that we're focused on. And it gets to a level of partnership and depth that sometimes it's a little harder to do on just the customer level.
Vivek: Great. So from people, let's move to product. What makes your product special? What's the data driven secret? And, uh, why is what you're building extraordinary?
Lindsey: Well, I think the main piece of what go-to-market is going through right now is we've predominantly had to depend on a CRM to drive a lot of our, our data and the way we were monitoring the organization. And when you think about that, a lot of the CRM relies on human typing in data from keyboards, which can be very unreliable and certainly isn't scalable. And I think what we've seen the last few years in go-to-market in particular is it's evolved from a sensing organization to having all of these data signals that we're just starting to be able to make sense of that we've never had at the, uh, speed, complexity and volume that a lot of other industries have had available to them. And that's really what sets RevAmp apart. We're corely focused, not just on that core data asset that has been built in the CRM, but actually the most valuable data signals that tend to live outside the CRM in the, the main point solution that is collecting that data source.
Tom: Right. Yeah. You look at these landscapes, right? For RevOps and I think it's quite different from what things looked like a decade ago, but today, it's just a dog's breakfast of onesie-twosies and individual features observing individual pieces of a CRM or different slivers or stages of a pipeline. It's a space that's just crying out for an eye in the sky, a tent over the circus, right? If we didn't have all that chaos and cacophony, there wouldn't be this gigantic opportunity for RevAmp, right?
Lindsey: Absolutely. We... it would continue to be able to be maintained by people. A dashboard could really get the job done because there's just not, it's not that complex. It's the way, I was joking with you guys, I didn't have this problem even just a few years ago. I could make sense of a lot of what was going on and now there's these signals that I know the answer is in there. It's just been really hard to untap the depth of, uh, what's really going on and also be able to monitor it so that even once the analysis is performed, you have to go back and do it all over again to get those same insights. So knowing that it's running 24*7 is, is a core value.
Tom: I think that's really important too, Lindsey, as, as we like to do around super{set}, it's a problem. Man, I've experienced that problem. Like, gosh, I know the answer is knowable. And I know we've got little bits and scraps of it, sort of in the air, but we can't put our hands around it. And, you know, it's all just like this potential energy that you still have to harness. It's right there for the, for the getting. So and we've all, again, struggled with this, it's not an abstract issue. We've, we've been on the rocks of that issue many, many times ourselves.
Lindsey: Oh, it's so true and it's, it's actually at the core of a lot of where the wrong strategy, the wrong process, the wrong behavior can come from because it's the wrong analysis, it's the wrong signals that you're drawing the decision from and that can be dangerous as, as organizations can't afford to let that revenue slip by.
Vivek: So, most important question for the spotlight, Lindsey, why co-found at super{set}?
Lindsey: Oh goodness, why not guys? Um, so I think for me personally, I'm a entrepreneur by accident, I would say. Um, I do not fit your typical profile of an entrepreneur, I come with an operations background. My entire career has been on the go-to-market side, uh, direct sales, sales management in the last 12 years in, in operations. Uh, and I tend to do my best work, to be honest, at more of the, the late Series A, Series B company. Um, so it never really dawned on me to be one of the core problem solvers. And I think where, where this really emerged is, I was starting to see patterns in the companies I was working with on the operation side, and it was working closely with super{set} that forming the solution memo, forming the, the problem, talking to the market, that for me personally, this has now become just such a personal mission. Um, I feel such, such a sense of responsibility to colleagues, to go-to-market professionals as a whole, that this is a problem that needs to be solved. Um, we're seeing other people work to solve it, which is actually wonderful to see. We need to tackle this, we cannot keep operating off of, uh, CRM data infrastructure from the 90s. So, uh, this is, this is very personal and super{set} has really provided the core direction, the core thesis, uh, and the phenomenal resources to make what probably would have just stayed an idea in my head into a reality.
Tom: Really terrific. Lindsey, such a, such a pleasure to be company building alongside you. Thank you for showing up and sharing your perspective here.
Vivek: Thanks, Lindsey.
Lindsey: Yes, thanks guys. This was a blast. Thank you.
Vivek: And if you guys didn't catch it, we are looking for a Head of Product and a Head of Engineering for RevAmp. So, if you have any referrals or, or want to give this a shot yourself, please reach out to us, Lindsey@rev-amp.ai. So, uh, looking forward to hearing from you guys.
Thanks for listening.
Lindsey: Thank you all.