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The Lead — May 21
IN DEPTH · FIRST ROUND

Why old-school sales work still wins in the AI era | Graham Moreno (Head of GTM, Parallel)

A veteran software sales leader argues that AI has changed the tempo of selling far more than its fundamentals. Enterprise buyers still need opinionated partners, hands-on rollout help and trust built through real relationships, even as AI-native customers compress cycles into days and expect constant, asynchronous collaboration.

1h 02m / May 21, 2026 /aibusinessstartup / Transcript sourced from openai
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Overview

This episode is about what changes, and what does not, when you sell AI software into enterprises and AI-native startups. The guest argues that despite all the hype about rewriting the sales playbook, the core job still looks familiar: help customers change how they work, show up in person, and give them a clear path to results. The big shift is speed, communication style, and the amount of guidance buyers now expect across messy AI tool stacks.

Key Takeaways

The strongest point in the conversation is that enterprise AI sales still runs on change management more than raw product quality. The guest says large companies do better with structured rollouts, training, and repeated in-person support than with a "drop the tool in and let people figure it out" approach. At Windsurf, they saw that companies with guided deployments had better outcomes six months later than companies that treated AI tools like an internal app store.

He pushes back on the anti-sales mood common in newer AI companies. Product-led growth matters, but it does not replace opinionated selling. Buyers want vendors who will study current workflows, recommend a better one, and stay involved long enough to make adoption stick. That is part of why systems integrators and long-standing partners still matter: trust compounds over time.

Selling to AI-native companies is different, but mostly in tempo rather than fundamentals. Those buyers already know the basics. They want fast feedback, async communication in Slack or text, and short loops of experimentation. A cycle that takes six to eight weeks in a traditional enterprise account might take five to eight business days with an AI-native customer. Still, the same seller traits matter: curiosity, problem solving, follow-through, and caring enough to go beyond the obvious.

The guest also makes a clear case for simple process with room for individual judgment. He wants a measurable sales system that raises the floor without lowering the ceiling. In practice, that means a few clear stage requirements, strong funnel instrumentation, and enough freedom for great reps to do unusual things that build trust. His example was a rep who gave a customer’s son guitar lessons over Zoom during Covid. That was never in the playbook, but it built a real relationship.

A final thread is enablement. He treats it as a core operating function, not a support function. In his view, great go-to-market teams invest early in training, partner development, and data so they can scale without chaos. AI can help reps prepare, but it cannot replace judgment, political awareness, or the ability to handle real conversations in the room.

Practical Steps

  • If you sell AI into enterprises, build rollout plans before the contract is signed. Define kickoff dates, 30-day milestones, 90-day milestones, and what success should look like for users and executives.
  • Do not rely on self-serve adoption alone. Add training, office visits, workflow reviews, and follow-up sessions, especially for large deployments.
  • Keep your sales process simple. For each stage, set three to five clear requirements that must be true before moving forward.
  • Instrument the funnel end to end. Track time between stages, conversion rates, and differences by segment and rep so coaching is based on evidence, not opinion.
  • Hire for traits before polish. The guest looks for smart, coachable, competitive people who care about customers and can earn trust.
  • Treat enablement as part of growth. Test onboarding, measure ramp time, and keep training going for managers as well as reps.
  • Stay close to post-sales. If expansion drives most long-term revenue, sales should care about deployment quality from the start.

Notable Quotes

  • "Change management dictates success in the enterprise more than technology."
  • "You can't fake giving a shit."
  • "I want us to have a super measurable, predictable sales process, but I want what we do to raise the floor. What I don't want is for us to cap the ceiling."
I think companies lose an opportunity to become more than just a vending machine for software when they’re not willing to say, we are really strongly opinionated about the best way to do this. — From the episode

Full Transcript

Source: openai 1h 02m runtime

Maybe a place to start that that might be particularly interesting to hear your take on is, you've been bringing software to market for a while, and you've had a huge chapter, call it pre-ChatGPT or pre-LLM as we know it, then post sort of ChatGPT in one of the leading companies that's bringing co-gen to market. Now you're joining another company that's at the forefront of this technology. What's like your observations in, let's start with kind of new world, old world of selling these two different forms of software? And do you think it tends to be more different and you're relearning your job, or most of it's 90% identical? One of the funny things about this generation of companies and of sales is that it feels like the playbook companies of like the cloud era, the like MONGOs, Datadog, Snowflakes, there's like backlash against it. That is a lot of very like anti-playbook sentiment. And I think the reality is that I've found that it's very much in the middle where like Windsurf, Cognition. In the sense of in this generation of founders and companies, we got to reinvent everything and go back to first principles. Yeah, I mean, my sense is that there's just like a lot of like pride in PLG. And I'm like, we want the product to carry the sales motion forward. And there's like less around this like very structured, measurable sales process and more about meeting companies where they are and injecting sales at the latest possible point. And that it feels like in a lot of these companies that have been super successful, there is maybe like a negative ethos around the word sales. You're talking about the end customer's AI native. Correct. So like the new companies that have been founded, call it like post-2020, where they come in with a pretty strong perspective, often having used a bunch of tools in the market. And like what you're having to do is figure out what they believe relative to what they're trying to achieve and like do some education around that. But there is probably a very different motion there than like an older school, like what made HubSpot famous, for instance. I think in the enterprise, it's very similar and it moves faster, but like change management dictates success in the enterprise more than technology. And so companies still want people to come out and deliver services and do trainings and spend time with the team. And like when we were doing large rollouts at Windsurf, we would send people on roadshows, like two reps in particular, I remember, went to India, Europe, all over the US to sit with different offices for different banks. And the feedback we got was, since we've been buying AI tools, there's not a single company that has actually sent teams to go and do this. And like part of why we're going with you outside of belief in the tech is that we think that you guys actually understand how to partner with us as an enterprise because it's not just our tech is amazing. Release it into your marketplace internally and it'll spread like wildfire. There was like a willingness to sit and to do discovery on current workflows, propose new ones, align on what the actual answer was, and then go and like spend time driving it. Because six months in, companies that did structured rollouts were a lot more successful. And we ended up collecting a lot of data on this because it became part of how we sold than the companies that said, hey, I've got tool A, tool B, and tool C. We're going to throw them into a marketplace and just like let the market decide. That wasn't six months out, super effective. There was, in a lot of cases, minimal measurable change. People had done the wrong things because instead of having trainings, they had just messed around with it and figured out their own workflows. And so I think in that way, the like old generation of sales is still very much applicable. People want opinions. They want clarity. And in a lot of cases, there's interest and excitement about something because they have an idea of how it can be effectual in their business. But I think companies lose an opportunity to become more than just a vending machine for software when they're not willing to say, hey, we are really strongly opinionated about the best way to do this and why. And look, we're going to take the time to get to know your business, but then we'll read that back to you, apply our perspective. And if that is the thing that you believe is a viable option, then we'll work with you to make it successful. Why do enterprises want to be sold in this way? I think companies that have large scale organizations and certainly the executives at the top of that chain understand that getting large groups of people to do anything is really hard. And that if you can provide a step-by-step guide, get in the boat with them and work on how to apply that and how to execute it. Because everyone, like they just brought into a training, is wondering why they got pulled away from work. So you have to have a really strong upfront value prop. On, hey, at the end of this two-hour session, here is what you're going to be able to take with you and how we expect it to impact your work in week one and week four and week 12. Like this is the carrot at the end of the stick if you spend in two hours not doing your primary job. But if you do that really effectively and you're able to come back and do ongoing training and enablement and you develop relationships, then like the ultimate change management across thousands or tens of thousands of people is more effective. Because on top of there being a systemic piece to it, there's a human piece. If someone doesn't trust you or doesn't know you, less likely to listen. If someone is making the effort and there's a team that shows up and is willing to work with you and over the course of a year, you see the same people a few times, you begin to develop relationships. It's why systems integrators, as far as have multi-decade relationships with these companies and are so effective. Like WWT Ahead emphasis doing tens of billions in revenue. A lot of that is because there's executives that have been there for the entire span of the relationship. And there's like a deep amount of trust that if someone says, I'm going to deliver this outcome to you, they will. Do you think that's going to change in any way? If you were a betting man, you would say in the next few years, that's how it's going to be. I think that at any large scale organization, those foundational principles will continue to exist. Like parallel is the first company I've worked at that I would say is truly AI-enabled. And what we do internally with Claude and Notion and Attio and like all of these different tools is amazing. And like Claude co-work has in a month, three weeks of being at this company, changed how I work. Because I can now go into Claude, have all these different systems hooked up to it and say, help me build a slide deck. Help me build a doc. Okay, I'm looking to prep for the forecast tomorrow. Can you give me a readout of all of this stuff? And so I think I have a much better command of the data that I have within the company. But if I were doing a large-scale rollout, especially if I had a team of a few hundred or a few thousand, I still think I would default to wanting to be able to work with a vendor on how to make that successful. And like, yes, incorporate that into our workflows or teach me how I should change the workflows. Because I even see this in my team of like 10 people right now. How we all use Claude co-work is pretty different. And so if you scale that across thousands of people, I think you probably end up with a lot of redundant work inefficiently. And I absolutely would lean in in that situation to wanting to work with a vendor on how to make sure that we're getting the most out of something versus just being better than we were. If you think about large enterprise and your experience with windsurf and then cognition, and you think about excellence in sales, what is different? Are there really important differences with this type of technology and bringing it to the enterprise over the last 18 months? Yeah, I mean, I think one of the things that at windsurf and cognition we did really well was, the way I describe it is like great sales is like squeezing an orange or applying pressure from both sides. So on the one hand, do you want to go talk to engineers and like have a strong DevRel practice and really get in and like understand on the ground the way that people are working, thinking, what they want to be doing? Absolutely. That's really, really critical. But at the same time, these executives that are managing huge budgets, have projects, and increasingly have CFOs saying, oh, well, like that company over there cut headcount 40% and increased productivity 3X. How are you going to do that? If you're not involved in the conversation with them, then you're just hoping that there's enough of a flywheel. Look at the ground level to pull your product up. I think what we did really effectively was had a strong practice around going out and meeting developers where they were. And that was both being active on Twitter, being active in meetups, having like a strong DevRel practice about trying to bring together a community of people that created the conversation that was ongoing around how to use the tool to the best of its abilities. But then also we had a really strong practice on executive events, making sure that we were plugged. Hey, we spent some time with Mr. and Mrs. Executive. Here's how they're thinking about it. And I actually think that great sales organizations understand that in a lot of cases, they are the vehicle that both developers and executives use to get a clearer insight of what's happening in other parts of the org. Because if there's six layers, if you're selling to a major bank, like CIO of J.P. Morgan is nine layers between an engineer and she's not necessarily hearing from engineers on a regular basis. But if you're a vendor who can say, hey, we just went and did a huge training at your Ohio office. Like here's the feedback. Here's what we're hearing. And then like able to integrate that into how they're thinking about AI strategy. That's a huge value add for that business that goes beyond just the tech. I think we were super intentional early from like the very, very early stages about how we chose to do that. Because when I got into windsurf outside of hiring sellers and deployed engineers, the three things that I told our CEO that I wanted to go do was hire a world-class partner person, a world-class enablement person, and a data person. And my premise was, we're at single digit millions in revenue right now. But by the time we get to 50, a hundred in a product like this, it is more important that our enterprise customers are able to get consistent services and ideally from a place that they trust. And that is through partners. Like being able to go and build credibility and build belief in the big partners and systems integrators was something that we started doing probably $40 million in revenue before most companies. But by the time we hit 50, a hundred, we were in some of these centers of excellence that we wouldn't have been in until we were at 250 otherwise. And that was a huge force multiplier for us because it meant that if a bank said, hey, on short notice, we have this event in Singapore, can you come out? We could probably send one or two people, but we could call the partner that we knew they worked with that we also were close with and say, hey, can you, can you flex 30 people to come help us deliver this? And I think for us knowing early on that we were going to be more enterprise focused, that was a really high leverage way to spend time. And then from an enablement perspective, I think sellers in some cases get a bad rap because they're not necessarily credible, able to come in and provide information that their customer might not have without them. And so by investing a ton and creating a sales team that was well-drilled, well-educated, was able to speak not just to our product and to our competitors, but to the market as a whole. And to do this in a way that was programmatic, like we measured the outcome of enablement. And we were able to look at like, hey, how did the first four weeks of digital onboarding go? Like, how are people performing in these sessions? How does like at bootcamp, there's different measurements that we have. And we could then look and say, hey, like this cohort that hit 75% on average became productive in the field three months before previous cohorts. And so I think just being very intentional and programmatic early on things that at 10 sellers, like doesn't necessarily seem important, but that meant that at a hundred, we had that completely dialed in, in a way that at other orgs that I've been at, we were scrambling because we realized too late that we should have done it a year before. What about what is excellence look like when you're selling to AI native customers? Yeah. And how different is it? That's, I think the most different thing. And it's been really fun. I think AI natives in a lot of cases, a good percentage of their employees, started using ChatGPT in like college or high school. And so you have this group of people that have just like born to it in the same way that like our generation might feel about an iPhone. But it means that the education curve is completely different because it's not like, hey, here are the rudimentary pieces of like what an agent is and how you get the most out of it. But it's okay, like show me what you're doing and show me your workflow. Okay, cool. Like you are miles ahead of someone that I might be working with who picked this up when they were 45. And now it's about like optimizing for the outcome you're looking to create, ideally giving you like two or three pieces of information or two or three things about how to use the product or get the most out of a workflow, having you go back, do it, provide feedback. Like I think the way that we communicate at parallel with those companies is like a lot in Slack, a lot over like text. There's just like a lot more constant communication. And it feels more like an ongoing conversation because I think a lot of this generation is just used to async, first of all, and also just like having a pretty constant narrative going on. Because even if you're talking to ChatGPT, that can be an ongoing conversation. And so there is this much more like continuous exchange of information. And then you get on a call every couple of days to like go through the most recent stuff that's happened, but we're coming into those conversations with way more context. Because rather than, hey, here's an email recapping what we talked about, like you've had all this code and then we're going to read it out. Yeah. You're coming into a conversation with like three days of just like constant communication, which is cool. Because I think in a lot of ways, it's allowed us to get a lot more embedded in the outcome they're looking to drive. And like that's really fun. But I also think that has just been a completely different challenge and set of things to think about from like a, not even sales process. The sales process is similar, but the time interval of the sales process is very different. Where like an AI native, a process that might take just naturally six to eight weeks in enterprise is like five to eight business days because there's just so much continuous exchange of stuff that otherwise you'd have to extract over a period of time. Just like naturally gets compressed. What are the implications for what the sales org looks like selling into that end customer based on sort of that observation? Is there a different seller persona or way of going about the work to be successful for that customer base versus traditional business enterprise, mid-market, whatever? I think really good sellers tend to overcommunicate no matter what, but depending on what that, what that means. And so like an enterprise, it might be, you're sending like project management emails weekly to recap everything that happened and talk about expectations for next week. And ideally you're texting some of the people that are involved. And I think if you took a great enterprise seller that does all of those things naturally, it might take an adjustment to like being in Slack all the time or being in text communication as much as we tend to be. But I do think the basic personality traits that make people good at AI native exist in enterprise, they've just never had to communicate that much. So to be fair, I really haven't experimented yet with taking like a great enterprise seller and being like, Hey, I'm going to pull you off of the big banks and like stick you into the tier one San Francisco companies. But I suspect that the adjustment could happen. And I actually like, from a personality profile perspective, no, I think if anything, companies overcomplicate hiring of sellers. Like you hire smart people that are good at problem solving. Something I say all the time is you can't fake giving a shit. Like people that care deeply and are very human oriented will go above and beyond to make customers happy and will be really sincere and authentic about trying to understand not just what the company is trying to achieve, but like, hey, I'm talking to these three people every day. Like, what do they care about? Who are they as people? And I think that that personality profile is exactly what we look for in AI natives and enterprise. I think the like hard skills that come with it are different because the AI native reps that we're hiring are for the most part, younger in their careers, often grew up with GPT. And just some of the like communication styles that they have are pretty different. But if I look at from a behavioral perspective, what makes our AI native reps really good versus our enterprise reps really good, it's almost all of the same things, just usually across different technology stacks. What about in terms of the way that an AI native company makes these decisions, build versus buy, how they evaluate competitors, ROI or differentiation, or like sort of those types of things? The interesting thing is that where I have sat in AI, I feel like there's less of a build versus buy conversation. Pretty quickly, people realized that they weren't going to build co-pilot or cursor or windsurf. And so it became a, what do we prefer? And in a lot of cases, again, this is where I think there is an opportunity to like bring back some of the old school, which is that if you're working with one of the top three vendors in any space in AI right now on a four to six week cycle, the tech is probably within 10% of equal. So there's like a taste human preference perspective. But I think there is also this like, Team, are you willing to fly out and like do a training session? Are you asking about hackathons or like major milestones where like the engineering team gets together and like ask them to participate in it? The consistent feedback, and this was true at Windsurvix cognition at Parallel, is the way that our orgs operate felt different to them, but when we said, hey, why is this really good feedback? Can you tell us why? The answer almost always was like, you guys show up a lot. Like you guys are very present, very willing to jump in and help and like ask for trades. I don't think that like fundamentals of like, hey, if you're going to go invest a ton of time, it's okay to say, hey, we'll send people out. We want to make sure that if we do that, we're going to like get the right amount of FaceTime. We're going to be able to meet with the right people, but we're happy to do that. For the most part, people are very comfortable with that, but I think there's a lot of companies right now that have defaulted to Zoom and defaulted to Slack. And I think that being willing to put in the legwork and develop relationships, like one of my favorite stories is one of my best reps I've ever worked with during COVID, found out that his champion at one of his company's sons had been taking guitar lessons and couldn't anymore because of COVID. So he ended up teaching this guy's kid guitar over Zoom during COVID. Because he knew how to play guitar. Yeah, so like it just like came up in the course of them getting to know each other. And it was like, oh, you know, my son was, it was like, how are you guys managing COVID? And he was like, oh, like, you know, my son was taking guitar lessons and it's kind of been a bummer because he hasn't really been able to. And my rep was like, I like, I play guitar. I've like taught people. I'm happy to give him lessons. You know, he also didn't tell anyone, like no one found out about this for a long time. And then the champion at this account brought it up on a call with me like six months later. It was like, oh yeah, Isaac has been like teaching my son how to play guitar. And I was like, what? I think the thing that people miss is, yes, like sales process is important. Having the right stages, the right gates, the right operational rhythms so that everyone in go-to-market knows where to be at any given time is helpful. Not because that's what makes success or failure, but because if you can create that in a way that is aligned with your customers, it creates a lot of clarity for everyone involved in what they should be doing at any given time. But the thing that actually makes special orgs special is the kind of person that you have then running in this process. And at no part in our process does it say, teach someone guitar. So then if you pull at that, how does it make you think about what do you want to standardize as you begin to scale a go-to-market organization versus kind of like, what do you want to push to the edges, which is, hey, you're a smart, capable, passionate person. Go use your own best judgment to help us build our business. And Parag, our CEO at Parallel, said this to me recently where he said, hey, like I want us to have a super measurable, predictable sales process, but I want what we do to raise the floor. Like I want the floor to be really high. What I don't want that I feel like does happen in some of these very process heavy orgs is for us to cap the ceiling. So how do you create something that creates like a bare minimum as far as people's operational expectations, how they're going to behave every day, that means that we know we're never going to go below 90 without creating so much structure and so much process that it doesn't give people the opportunity to go do something kind of special and unusual. And a lot of that is, I think simplicity is important. We don't want to have too many sales processes, too many sales stages. It's important to be really clear on what they are and why, and to have a really clear set of like three to five, never more, and probably not less than three, things that happen in each of them. So it's like, hey, as you're moving through the process, do we have these things to move to the next stage? Like, did this meeting occur where someone said, yes, I'm going to do this with you? Do we know that that person has the power to do it? Great. Move on. But by keeping it very simple, everything else is pick your own adventure. But I generally think that if we've created the right expectations in the field, someone else's judgment on why to deviate or how to do something that is like nonlinear is going to be better than mine. Because they're just closest to the customer, closest to the problem. Closest to the customer. And like, I hire people to be better than me. There's not a single person in any of my, in any of the orgs that I've been a part of building that I didn't think was better than me at the thing that we hired them to do. I think that that's really important. Because there's two ways this goes. Either leaders want to validate their existence by having input on everything. And by having input on everything, you actually create a culture of people being frozen and unable to act because they feel like if they don't get your sign off or don't get your input, there will be some penalty. Or you create a culture where everyone knows that as long as you've thought it out, I'll ask you a couple of questions, but they come in knowing there's an almost 100% chance I'm going to say yes, which actually makes them accountable for the outcome. If you're in an environment where someone's going to say no to you, you actually don't feel that accountable because you threw out a suggestion. They rewrite it and then you just go do that. If you're in an environment where someone is going to be like, all right, tell me why. As long as there's a coherent thought behind that, the default response is, yeah, do it. Let's see. And if it works three times, we'll be able to feel on it. And if it works once and not again, then like, we learned. But I think the way to create autonomy in orgs of any scale is to hire. Like every time someone goes to hire for me, like one of my leaders, I'll say, hey, do you feel like you were going to be able to say yes to this person? The vast majority of the time they ask for something, because if not, we should talk about that. But if yes, then like that's a good signal that we want that person here. Why does it not work as you're scaling to have such a good system and process, such good system and process that you can kind of hire relatively mediocre people and have them thrive and deliver for the business? Like I'm articulating the opposite of what you're saying. And you obviously have a belief that that's not the optimal way to scale a go-to-market org. I actually think the optimal way to scale a go-to-market org is probably to have a system that is, because again, like the three to five things that should exist in each of these stages should be enough to run a consistent, healthy cycle. And so I think at scale, like if someone walked in tomorrow and said, Graham, hire a thousand people in the next year, it's not going to look the same with this at hire 50. But what you need at that point is to have that process that you've articulated be correct and opinionated enough that someone who does the training, leans into enablement, leans into developing the muscle memory to go follow the steps, maybe they never operate above the floor. But if the floor that you create is high enough and they can follow the steps, maybe that is the person who is a consistent, like 95 to 110 of quota. But what is important is that the people that are going to come in and go teach people guitar lessons or go and like have a cooking class for a few of their prospects that they found out really love cooking, still feel empowered to do that. And I actually don't think that those things are at odds. I think what tends to happen is orgs either are like, we only want the greatest people and like great people are unstructured. And you end up with these sales orgs that's like a bunch of artists just kind of like throwing paint at the walls. And it's not that those can't be effective, but it's really hard to measure. You're talking about why, what the problems are with that. And I think if you have a bunch of people that are all really good at problem solving, but all do it in silos or do it in different ways, then when you go to create predictability in the business, there's not actually really a baseline to be forecasting off of because you have person A over here who is like an amazing technical mind who can walk into a room of engineers and just like absolutely enthrall them and get people very bought into their technical brilliance. You have the person over here who is great at executive level conversations and doesn't understand the tech at all, but can go and like connect deeply to the business problems and then bring the right resources to bear. And they have totally different ways that they go about validating the tech and totally different lengths of time that it takes and different deal sizes. And that there's all of these different objects that don't look the same. When you go to the VP and you're like, all right, you have 100 of these people, tell me what's going to happen next. That is a pretty challenging kaleidoscope of behaviors to be looking through. …that are out there teaching guitar classes or doing cooking classes or like whatever that might be. And so it's like how do you create a process that allows people of differing skill levels at a baseline to be more successful than they could have been otherwise without working in that system and create enough flexibility in the system that if someone is like, “Hey, I want to like flex and do this thing that's really unusual,” you can still say, “Hell yeah, let's go do it.” How does this ladder into what you think true excellence is leading the go-to-market function? I think excellence in leading the go-to-market function can, you'll see I love this number, probably be broken into three things. I think as a leader, it is how are you predictably driving revenue, and that is both like net new logos. How are you thinking about expansion programmatically? Like when founders come and talk to me, I need to be able to tell them, hey, from a new logo perspective, like here's how we're operating. Here's what it looks like in AI native. Here's what it looks like in enterprise. Here are the things that are going really well. Here are sticking points related to how we're selling. Here's product feedback we're hearing. And then from an expansion perspective, are we before close? Like if you're not talking about how to successfully deploy the thing you're selling basically from the moment that eval goes well, then you're completely missing the plot. The plurality of revenue that exists in most organizations happens after the first deal. So how are you going in and saying, and this is another thing, like an example right now. At Parallel, we have so much, the market is coming towards us so intensely that the team is overwhelmed. There's like not enough people to respond to the demand that we have. And so like that's a good example of just having to simplify it, where it's like, all right, if the eval went well, have we agreed with our champion and with the economic buyer on the kickoff date, which then applies pretty direct pressure on like how quickly we get paper done. Have we agreed on what the first 30-day milestones are, first 90-day? Like we have to create a lot of clarity for what success looks like so the customer is not wondering, did I get something out of the investment? Like it's your job to take that on. And so revenue is the first piece. I'm going to put talent development in the same bucket. But I think one of the biggest tragedies of the generation that's coming into go-to-market right now is that a lot of organizations have become so focused on responding to demand, they've really heavily moved away from development. For anyone looking at getting into sales right now or go-to-market, sales, deployed engineering, post-sales, like finding an organization that still puts enablement and developing of people like primary among us responsibilities, I actually think is really critical because, and I don't remember which executive gets credit for saying this, but like there's a lot of people that talk about how if you don't love yourself, it's hard to love other people. Well, I think if you're not like actively investing in the development and careers of the people that chose to entrust their career development to you, then you're like missing the market as a company and that probably says something about how you're handling your customers. So Jeremy Powers and Nicole Redinger built Mongo's enablement program, which was legendary and had every reason to be. Nicole came, built out Windsurf, and brought, similar to like Nicole and Jeremy worked really closely together at Mongo. Nicole came in and was like, I'm bringing in Danny McCabe, who is every bit as good as me. And so we had, in my opinion, the two best enablement people operating at Windsurf for about a year and a half. And we built an amazing enablement program. But what that meant was because there was so much pride in how we were able to develop people, and whether you're like an SDR, AE, leader, this is the other thing. Like a lot of people get into leadership and everyone's just like, all right, you're never going to develop again. Congratulations on being a leader. That isn't how that should work. If anything, it is super critical to be intentional about saying, all right, like who are my cohorts of leaders who are in the first two years of leadership? Because like the lessons and development that they probably need to be hearing are different than someone who's in years three to seven. And I think being very intentional about that both makes you more attractive to top-tier talent and makes you able to take risks on people who are kind of like what we were talking about, where maybe someone doesn't come in knowing the process, but if they're smart and willing to learn and have all these unbelievable other characteristics, you can bring them in and develop them. And so like for me, revenue is the big piece. People and enablement is the second piece that I think is unbelievably critical. And then like how are you aligning everything in the organization, both today and six months out, to reduce friction for everyone internally and therefore for customers? Because if you are hiring great people, enabling them and making them better on a continuous basis, delivering revenue to the business that is also delivering measurable value to your customers, and you're being intentional and programmatic about, hey, how does what we're doing in sales connect to marketing? Are we communicating with our deployed engineering colleagues? Am I communicating with the engineering team? Like, is our legal team being appropriately protected by the sellers? Do we know how to have the conversations around limitation of liability and all of this stuff? And like a huge part, I think, of any executive of any business unit should be making sure you're spending appropriate time with your peers because if you get that connective tissue built appropriately, it's awesome. When like legal is being appropriately protected, finance isn't calling me being like, how on earth did you approve this term? And they can all go focus on things that are like value added to the business and not trying to create fences around sales so sales doesn't do idiotic things. And like better yet, if you're able to develop rapport where you know that there's going to be times that you ask for help, and if you have done the like legwork and put in the sweat equity to build trust and to show people that like you will show up proactively when something does happen and it will where you're like, hey, I need an assist here. Generally that is like a good moment to band together and get closer. Whereas where I've been in orgs where there's that tension, like people help, but there's a huge difference between like, yeah, I'll help and like, hell yeah, I would love to like get in the boat and row. I would say the natural path, which is that functions grate against each other or most likely blame each other. You know, marketing conventionally blames sales for not hitting a number. Sales says we're not getting the appropriate leads or coverage from marketing or sales is blaming eng because they're not delivering a product that's saleable. And like you have this normal sort of cadence where I think the functional leaders often blame each other as opposed to truly coming together. And you know, it sounds like you have this customer centricity with your counterparts, which is like, hey, legal, let me sit in your shoes a little bit. Not let me scream at you because this deal term is blowing up this $5 million enterprise deal and you know, sort of those types of things that can happen in scale-up orgs. Yeah. I mean, if you, if you have like the particular mental illness where like running go-to-market teams is fun for you, then like everyone is your customer. Like the other organizations that are like part of your company are very much your customers, your reps and like the people that work for you who like trust you with their careers and trust you to be able to give them a path to success are your customers. And obviously the people paying us money as a business for our technology are your customers. Again, when you said this at the beginning, there's different ways. There's not one right way to do it. And man, like Amazon has been so successful with this, like, we don't want agreement. We want conflict. Like this is part of who we are. And they clearly attract personalities for whom that is like motivating and galvanizing in a way that's really good. I don't have the world's most like healthy relationship with anger. And so like I do my best work and I'm able to make mistakes in a very productive way. If I am in an environment where the people around me, assuming I don't make like a ridiculous mistake, trust that I had good intentions and are willing to like talk to me about, you know, what went wrong, how do we fix it? And I go fix it and like things are good. And I think that assumption of positive intent and that assumption of like, we're going to figure this out together is the environment that I react really well to. So I try to create that. If someone is like, I really want a lot of conflict, like they probably shouldn't come work for me. But I think something that we did really well at Windsurf, and this was like semi-accidental, is rather than creating an organization where there was like inherent conflict, and again, Amazon is an example of one that did that intentionally and was super successful. What I tried to do is find people that led different organizations, whether that was like post-sales or deployed engineering or partners who were 80% aligned on almost everything we were doing. Like I want the foundation to be. Everyone in the room with you who is part of solving this problem or building this machine has your back, wants the same thing, isn't going to, like, empire build or try to step on your toes or play political games. And I think by having that camaraderie at the top level, not only were we able to solve problems. Like one of the things I used to say at windsurf, and we haven't had to do this yet at Parallel, but I would say, I don't ever want a debate or a conflict between my directs to come to me because if it does, I will intentionally make a decision that's designed to annoy both of you. I will just, like, try to find the exact middle. But generally speaking, my expectation is that like, we're all adults. We can put our egos aside and that like the right answer is pretty apparent. And in two years, there were only two things that got escalated to me. And in both cases, it was just like silly ego prickliness. Just like people's egos got pricked, but like, we like sat down and I was like, guys, if you like put your egos back in your backpacks and like, take a breath, is the answer to this question actually hard? And in both cases, we sat there for a second and they were like, no, I got it. And I don't actually think in either case, anyone said out loud what the answer was because it was very obvious. And I think that that is super important. So like by creating that ethos though at the top, it then meant to the point of like companies mimicking founders' values, it meant that the team saw that the leaders got along well. And so for the most part, there was like just natural, like people bumping into each other. But I think by having that like ethos of an assumption of we are all in this together, we're going to build together. And that doesn't mean you don't call things out. If someone falls below the standard, call it out, but ideally do it one on one. Like if you choose to do it in a room, to me, that's performative. Like that's not actually being a good peer, being a good partner, being a good leader. Like that's a conversation where you pull someone aside and you're like, hey, I'm not at all trying to blow you up or come down your street, but like I'm observing either you doing this or like what I'm feeling is your team is dropping the ball here. And we've seen it a couple of times and here are the specific examples and here's why I feel this way. And I think it is a lot easier to move fast when you're not looking over your shoulder. What do you think the downsides or trade-offs that you're making to behave in this way and create an organization that behaves in this way? The two other examples I have is I was in an organization that was really high performing, so combative, like a bunch of people from New York and Boston. And I think the negative side was that you could get into meetings that were like just 20 minutes of people yelling at each other that had nothing to do with solving the problem. And it just became like egos. But in a lot of cases, some of the most like pugnacious, difficult people that I've worked with were often A, right, and B, thought in different ways. And so would get frustrated and vocal because they had this like different way of thinking about things that was really valuable. And it is probably good to like inject in a conversation. And I don't like, you know, again, I- That you're saying you can lose that if there's too much agreement. And so I think you like, ideally you try to find that person who is still able to be the stick in the mud or whatever, but for the most part can do so in a congenial way. I am someone that will try to call stuff out, but I generally try to do it in like a playful seeming way. But I think that's a risk. Like if you default too much, because there's also like agreeable fake agreeable and there's like agreeable aligned agreeable, fake agreeable is you're agreeing for the sake of agreeing, even if you don't agree. Just like saying yes for the sake of avoiding conflict. And like, that's not ideal, but for me, the way that you have the most productive flavor of conflict is if you have built a foundation of trust so that conflict isn't threatening. Look, ideally, if you have people that foundationally like and trust and care about each other, that actually creates a platform for productive conflict. I think one of the things that some pieces of America is missing right now is that a lot of cultures that have really strong identities have like natural cultural touchstones. So like whether it's like a bar mitzvah or quinceanera, there's like shared experiences that people have that like bond a group over a shared identity or a shared thing. And I think that's actually where enablement is really powerful. And like, I'll give a Mongo example, but like at, if you have bootcamp, everyone goes through three to four weeks of like onboarding, online training, and then you get to bootcamp and you take it seriously. It was like, you'd dial in, like, you'd take a test coming in. There's winners, like it's competitive, it's fun. It's meant to make you better, but this is like an opportunity. Walk us through a test like that. What we would do, the Mongo one was more intense at Windsurf, it was like not quite this intense, but it was literally just like, hey, over the last four weeks, you've worked through these training modules, and now we're going to give you like a, in some cases, multiple choice, in some cases fill in the blanks, but it's like 20 questions. It was meant to take like 30 minutes, but just to make sure that you've absorbed it, that you didn't weren't like watching TV and doing laundry and just had it on in the background. And it's just like, we want to make sure that as a foundation for doing, for investing a week in bootcamp, that you have absorbed the information that we were hoping you would to make this valuable. And so like really the intent is just, did you do the free work? But it was a way to make sure that the week would be valuable. And then you go through and like, there's competitions and that range from like trivia games, just like stuff that is meant to create, to force recall at the end of a long day or like mock discovery calls. And you do them in front of the room and people would rate it. And like, it was just a way to like, both like build a reputation and make friends and like build this community. But across, we do once a month across 12 cohorts of people and everyone years later at Mongo would be like, Oh, what bootcamp class were you in? And it was like, Oh, I was with like Matt McLaren, who's now the CEO of Augment or Graham Siemens, who's now the CRO at XAI. And like, it became this thing that oriented everyone because it would be like, Oh, like, did you guys do this training? And they were like, Oh no, we had scrapped that by the time I was there, but like they'd introduced this one and it becomes this common cultural touchstone that also becomes a really big source of pride for people about like who they came up with and like how hard it was. And it just becomes this rallying point. And it also sets the tone early that like being excellent and being elite is A, an expectation, but also B, can be really fun. It should be something that isn't like- Drudgery. Yeah. Like I think right now in AI especially, there is this like glorification of misery where people are like, we work 11 hours a day, 500 days a week. And you're like that. Okay. And I didn't read the part of the book that said that you can't have fun. I'm like at every- whether it is music or art or sports teams, like most of the greatest examples of all of those were people that appeared to be having a pretty good time doing it. And I think that that is like an important thing. And if you talk about like instantiating an idea in a culture, enablement is the best way to do that early. And then like the way that you make that an ongoing part of pride is great. Do you think enablement's changing a lot with sort of the type of knowledge a seller can have at their fingertips? Or do you think you run the risk of if you don't actually learn it, there's a certain feel and taste and judgment that gets instantiated in a person when you're actually going through training that if you're just relying on an LLM to give you the correct answer that you are just broadly less effective? Depends on how the sales you're doing. I think if you're out there selling like a basic application, probably fine. I also think those are the sales jobs that are going to get AI'd. I think if you're doing like real enterprise sales though, it's really hard. There's not like an LLM that can tell me about organizational change management. And like a lot of my favorite customers, but also my scar tissue comes from like financial services and then insurance companies. A lot of what you're navigating in those organizations is political. And there's not an LLM that can tell you that. Now, like, do I see, not even do I think, do I see sellers that have information at their fingertips, like abdicate the responsibility to understand that? Yes. And where that kills them is in person because on a Zoom call, you can have the little AI bot that's like slinging you information. But those are the people that you have to like send into a rocket and shoot into the field because they won't go willingly. I also think this goes back automation, like the ability, rather than like single-shot calls, to mimic complex situations. And even if it's not in like a simulated conversation, but you're like having a conversation with a bot that is like forcing you to string concepts together to connect ideas, and where just like the synapses that are firing are more complex and different, and like if you're trying to like build myelin and like create the underlying nerve matter that allows you to build skills, like complex movements is how you do that. And like transitions are a really important part of that. And so I think that that is a really cool part of AI enablement. But yeah, totally. If you're gonna let people hide behind a computer and just read snippets of like other conversations that sound smart, yes, then like I would recommend you not let those people go on site. What are the other things in this bucket of enablement in your mind, if you're operating at a world-class level? When we were selling MongoDB, we effectively had to know the database industry. And that was kind of it. Like I had to be able to talk about different relational databases, had to be able to talk about different NoSQL databases that were out there. But I didn't really have to be able to talk about like big data systems or like anything to do with Kafka or anything to do with Kubernetes. It was like pretty confined to that industry. And I think now, if you really want to be elite, because not only are you selling against direct competitors, you're selling against implied competitors. Like you have to have a pretty good grasp on not just your competitors, but like the entire infrastructure layer, the app layer, a little bit of everything. And like now, because not only are people saying, okay, like, why can't I do this with Claude? Or why can't I do this with GPT? But like every company on earth that was an app company, like tried to crash into developer tools to avoid getting obliterated. And so now, like randomly people will be like, what about this company? And I'm like, do they even have something in this space? Like Google it. And I'm like, oh, they do. I think you have to be able to clarify and simplify for customers why things matter. Because people will come in and be like, all right, we're doing this with Claude and this with GPT. And like, we have cognition for this, cursor for this. You have like 15 other dev tools. Notion has started doing a bunch of stuff that is like not necessarily what was in their initial remit. How do I tie this together? And like, I think the hardest thing for sellers, A, you have to be able to speak about it intelligently because if you can't, you don't even earn the opportunity to simplify. So you do actually have to be able to play ball across all of these different products and be able to have a coherent narrative and a coherent opinion. But I actually think one of the things that the best sellers and the best organizations do is help to clarify things. What about in sort of the top bucket of driving predictable revenue? What are kind of the input drivers to excellence there? Like take people out of it because I think that's like the big one. But from a process perspective, it's, okay, you're gonna go do pipeline generation. We call that stage zero targeting. So it's like, hey, these are the companies that we're trying to engage. And a company can only be in targeting if it has been actioned on, reached out to, in the trailing five business days. Reason that we're so strict about that is we want to see from the time that we engage, and there's two buckets, there's leads, there's like people that came inbound, and there's people that were proactively reaching out to. We want to see how much time does it take in each of those buckets to get to a first meeting. And then from a first meeting, we have a set of qualification criteria. First meeting goes into use case evaluation. So if the meeting goes well, we're like, yep, there's something here. We're gonna have a larger conversation. We're gonna move into use case evaluation. If it's not the right fit right now, we might push that towards self-serve. We might push it towards a drip campaign, might disqualify for the time being. There's a number of reasons you could do that. Then use case evaluation could be two conversations. It could be 20. It just depends on the organization, depends on who you're talking to and where you have to get. Then you have a POV initiation conversation that is, hey, this is all the stuff that we've talked about, everything we've covered. Do you agree that we're gonna go take this hill together? Yes, great. Move into scope. That is clearly measurable criteria that we're gonna go test against. We all agree that if we do these tests and achieve these results, that we're gonna purchase, go have a conversation with the executive. And at each of those stages, we're looking at conversion rates. So you're instrumenting the entire process. So it's like, all right, we know that in cold outreach, takes us three weeks to get a first meeting. We know that 40% of first meetings convert into use case evaluation. For us, qualified pipeline QP is starting at scope. So once you get to scope, we expect the close rate to be 60% or greater. So we know 50% of use case evaluation conversations move into scope. We know that 60% of deals in scope close. And like you're instrumenting each stage of this pipeline. So what should happen over a quarter or two is you are able to create a heat map from a warm lead or an outbound prospect through close. This is the amount of time it takes. This is our conversion rate. And then suddenly you have a map of all the things that you can go coach to that shows you all the levers you can pull. And so you develop a baseline for the company. You look at AI native, you look at enterprise, and then you look at individual reps. And you can effectively show someone, this is the company baseline. This is the baseline for your segment. And then this is where you are relative to that. And that should make coaching conversations like pretty non-confrontational. By having this heat map, you're able to basically take the entire revenue cycle and demystify it so that at any given time, A, there's like maximal accountability on me. Like I can never say I have no idea why something is happening. Because at any given time, I have a heat map that I don't have to go look at. And the same is true of post-sale. Because like, honestly, especially it feels like right now in AI, companies aren't doing three years. They're not doing huge upfront commits. They're like dipping their toe in the water and then like just gradually consuming more. And so a lot of the work is done in post-sale. Do you think that post-sales should always roll up to the revenue leader? I think in general, it is really important to have, surprise, clarity on like what the overall direction of the org is. And so like where I've seen there be struggles, I'm like, I worked at a company that had unbelievably good people, but we split the go-to-market org into like three separate pillars. And in theory, all of those people were equal. And the way that I used to describe it to people is it is like you took three people, spun them around for like two minutes and then tied their legs together and said, walk straight. Not intentional. There's not like any malice to it, but everyone was just like kind of leaning this way or leaning this way. And there was just like all this tension. And so generally speaking, I think you wanna confine the greatest amount of direction-setting clarity to the smallest number of people possible. Generally speaking, not a fan of authoritarianism. I think in businesses, it's actually really important. Where you need one person who is responsible for owning the strategy of go-to-market. And like for me, that is like basically anything revenue-generating or customer-related ideally is under a single person. Now, that person's obviously accountable to the founders and to the board and to all these other things. But like there should not be two people that the go-to-market organization looks at for direction because that's the only way that you can have the appropriate level of clarity and the appropriate level of ownership. And I think post-sales is an unbelievably critical function, but so is deployed engineering. So is sales. And like you want post-sales to be a really clear mirror of the product and of the sales process back to sales and then also to engineering. And so it's super important, like we talked about with the cross-functional stuff earlier, to do the right type of enablement to make it so that people can communicate cross-functionally effectively. But ultimately, if there is an organization that is responsible for the success of customers that have invested in us and for earning the right to expand beyond that, I don't see who else it could report to. And I know there's a lot of other opinions on this. Like this specifically is something that I think all the other opinions are wrong. And is your sense it also just stops all the normal issues you have when sort of a traditional sales org is throwing a signed op over to a success team and like accountability and ownership and like, are they jamming somebody into the funnel that is not going to retain for whatever, you know, and all of those like subtle things that end up popping up. Yes. So like, first of all, yes, I think having that clear of a singular place like creates the opportunity for clarity. I also think that this just goes back to like the people you hire. And like stuff happens. There's going to be a deal that blows up or that, that's inevitable. I don't know that I've ever been somewhere that that deal. the sales people like, have done the legwork to like build trust and to connect with them. There's like, it shouldn't be an option to that seller, to hand off the account and be like, yeah, good luck with your life. Like I have sellers who I have pulled accounts from just because they were too busy, where it's like, hey, you're covering three of the fortune 10. Like I need you to just go like live there. So I'm going to pull these other accounts back from you, but who's still like actively communicate with the people that they developed relationships with and like, are telling the existing account team. But I think in like a healthy org, if you've hired the right kind of person, like it shouldn't just end there. And this is hard. This is not like an easy thing. Getting the swim lanes right for sales and for post-sales is super important. The last couple of things I wanted to get your take on, given the way that you described the type of sellers that you want in your org, smart, curious, customer first, customer obsessed. High-end coachable, IQ, EQ, drive. Why do you think that sales commissions make sense? I think you're looking for people that are really competitive. And I think you're looking for people, not in all cases, like there, I know some amazing sellers who like, who grew up very privileged and I, but ironically, everyone has a different flavor of the same chip. So it's like either you grew up with not a lot or like in like varying versions of situations that like created a lot of adversity. Yeah. Or you don't want to, you want to prove that you're not a silver spoon kid or some other version. Or you're like the runt of the litter in a very like talented family. And like, I probably skew more that way. Like my parents grew up super blue collar, but like I didn't necessarily, but I am from a family that is like really frighteningly accomplished. And I was the athlete. I was like the one that was very obsessed with soccer while everyone else was at U Chicago. And so for me, it's just like incredible drive to not be. I'm smart enough and good enough. Yeah. Like to not be the loser of the family. Totally. I think that that personality profile, like if you're looking for, because the other thing, sales impact is so measurable on the business. You can justify a different sort of pay because you're able to say, Hey, like our margin is this total cost of servicing the business, like engineering infra, all in is this. And then like the rest of this we have that we can build a comp plan around. And like, the reality is that if I can go write a comp plan, then at the top tier in AI right now, the top tier is like 30X your OTE. Like I remember in the days where it was like, Oh yeah, if you're doing like 5X OTE, that's like spectacular. And now quota is like 10X OTE. First accelerator tier is 20. Second is 30. And at that point, that person has paid themselves back, paid themselves and like everyone else back so many times over that I'm happy to give them that, that upside because the reality is like, I've done this now. I've seen it. When you give people healthy accelerators, not only does it attract a different kind of rep, but like, as much as everyone is driven, kind, compassionate, all this stuff, every poker game anyone has ever played it gets a little bit more intense when there's money on the table. And I do think that even though you're hiring these people that embody all of these traits that I think exist with or without that carrot, the competitive fire that comes up when you can like go make a life-changing commission check or you're trying to compete to be number one and it's not just to be number one is really fun. And like, I have that. Like I, I like to think that I would go do the right thing for customers no matter what. And I would go do the right thing for employees no matter what. Like, I know in general, leadership is for you if you get more excited when other people make money than when you do. The best day of my career was when Cognition acquired Windsor and I like saw what the 200 people who for like 96 hours I had been having a panic attack that I failed were making. Like that was the coolest moment of my entire life. It was unbelievable. If you don't have that perspective, then like leadership probably isn't for you. As much as I get fired up and like, we're paying out commission checks, it's also really fun to like try to run up the score. And I think that like the natural tendency to hire people that come from competitive backgrounds, and it's not just sports. I think like the sports thing gets beaten to death, and there are great sellers. But I also know great sellers that were like very good at music and had to like compete chess or all sorts of things. I mean, chess, acting, theater is not, I've learned, not like an easy thing to necessarily get the roles that you want to go get. And just like, I think anyone that did something that was based on passion and obsession and that was inherently repetitive for long periods of time so you could string it all together in a game or in a play. That's a good profile for sales. Last couple of things. In the way in which companies are scaling right now, and the environment is changing. When you think about leading the go-to-market org, how far out do you think you should be thinking and working on the business? So I'm going to give you the, my current state today, and then like, I think how that evolves over the next few quarters. Right now, like just getting in, it's observing, watching, and trying to like figure out what we're doing today, how we're doing it. You boil the frog, right? You don't want to just come in and be like, here is all the process we will ever have at the same time because people's heads would explode. So it's like, all right, we're going to introduce a couple of like light concepts. Hey, we're going to send, we call them W emails, like weekly emails to our customers that are just like project management recaps, but it just helps us all stay aligned. We're going to set a set of expectations for like how we interact with customers and how we interact with each other. We're going to start to make certain things a requirement depending on where we are in the cycle. Like little things. And then you introduce sales process and sales stages and then like once the team is patterned into doing that, and like for operating a forecasting rhythm. Like for a lot of people at these early stage companies who've never really had to forecast before. So like explaining how to do it, like how to create ranges and just saying, Hey, like this is going to be messy for the first four to six weeks, but like the goal is that in the quarter, we have it dialed in and setting expectations. Like six weeks out, I need to be within 5% of the forecast and like never down. But once you have that pattern and that's probably six months in, where you have sales process, sales stages, you have the right level of inspection. Like the reps know what to expect. The leaders know what they are expected to be digging into. You have the funnel instrumentation that I talked about where everyone can see where they are relative to expectations where the company is. Like all of this stuff, because it's really only once you have absolute clarity about how people are expected to operate today that you can or should spend a lot of time on the future. So like, let's say it takes six months to build that level of like clarity, consistency, and the right amount of capacity because the other thing is like early stage companies, everyone is on fire. So like, no matter how much you put great ideas in place, it's hard. With everything going on. Yeah. If someone's running 30 deals, like they're not going to follow the sales process to it that they can't. So I think it's like getting that to a healthy state. And then once you do, you as a leader again have to, but also should be in a place where you trust your enablement leader, your sales leader, your deployment engineering leader, like all these different people to like operate the business most of the time. And like at that point, your focus should probably shift to still a lot of recruiting. 80% of the job of most very senior, like go-to-market leaders is still recruiting and that will never change. But then the rest of it is, okay, how do we evolve? What does this look like? What does the org look like? I think you do have to build capacity models 12 months out. I know some people don't like that, but like, I think if you don't have a bottoms up model for how you're going to build success, especially looking at like time to hire current ramp time. Basically where you're working backwards from what you want the business to look like. Correct. And that can be from a revenue perspective where we can say, Hey, we actually think in the next six months, given some of the stuff we have coming on the product side, we're going to flex and we're going to hire way more on enterprise. We have X, Y, Z things coming. So we're going to scale enterprise in preparation for this big release hitting in 90 days. But I think you have to start looking at that because like back to the idea of like alignment cross-functionally, it's like, all right, well, what's coming on the product side? What are the expectations of the business? What are we seeing now that we can like extrapolate out and make a reasonable bet on? Or maybe it's, Hey, like we are at a scale of revenue where And like, I do think, once you've built the foundation and sort of the scale of the team, if you're not spending 70 to 80% of your time three to six months out, then I would be curious to know what you are spending your time on. Because certainly at Windsurf, like, a huge amount of my time was spent on like, looking at the capacity model relative to product stuff, relative to like, what does legal have to do if we do this? What is, how does customer success change? How does the deployed engineering team change? And like, beginning to put all of that stuff in place so that when you go to make the change, it's there. Like, the worst thing that could happen is you go to make this big structural change. The team gets a bunch of whiplash and gets there and like, it's basically the Fyre Fest version of an org change. So then how does this ladder into, call it you're six or nine months in, business is starting to scale, you're maybe in the tens of millions in revenue. What is like a normal week look like if you're really maximally productive in the seat? Like, how are you spending time or what is spending time well look like? What I found effective for my business, a sample size of one company, so I will probably have a different answer to this over the next few years. But it just became, what are the things that if I spend time on are the most force multiplicative? So like, at Windsurf, which is where I have that context, it was the partner organization. So like, we made the decision to run 100% of our revenue through partners. And so I spent a ton of time with my partner leader and his directs in front of the systems integrators, in front of the VARs, like, building those relationships because being able to get nonlinear revenue throughput, as well as, like, services and all of this different stuff, like building the relationship, building the belief, figuring out what, like, an Indian systems integrator, how are they going to incorporate our offering and, like, the services attached to that into their existing AI playbook? Like, if you're working with, like, a head or WWT or some of the bigger US options, like, what does that look like? How are we enabling their sellers? So like, going back to enablement. If you just, like, develop these relationships with people, show up at an all-hands, and you're like, yeah, you got silly AI, it's great. Like, it's not going to happen. So you have to invest a ton of time and resources in enablement and training and building relationships and being super intentional about going out and getting three to five wins that you can then go take internally to my team and internally to theirs and going and publicizing that. And like, for me, if I could spend a ton of time with our partners and they leaned in with us, so like, that from a revenue perspective was more nonlinear than almost anything I could do with an individual seller here. Likewise, enablement. We were hiring, you know, 10, well, like, 10 people a week. So you're looking at, like, 40, 50-person classes at boot camp. So it's like, okay, well, that had better be dialed in. Like, if we're looking at what is the ramp data from the last six months, and now with 50 people going through a boot camp class, pulling ramp forward by a week is meaningful. How do we, like, pull apart what we've done before, figure out where to tune the knobs, knowing that it's gonna take us six months to see if it worked, and go and, like, do that again. And so for me, it became, what is the most force-multiplicative place as I can spend my time? And I'll try to spend probably 50% of my time total in those two or three. As we've heard, big alignment guy. I spent a lot of time on one-on-ones. I probably spent two to three full days a week, even at, like, max output on one-on-ones. And like, some of that is scheduled and a lot of it too. And like, my wife is a saint for putting up with this. But like, my team knows that I'm available pretty much all the time. The worst thing is, I put blocks on my calendar for gym and the smart people have figured out that I'm available then. And so I would just get- And while working out? Well, yeah, they're like, oh, Graham's at the gym. He's not on a scheduled call. So I'd get, like, 30 calls while I was at the gym and I'd come home and my wife would be like, how was your workout? And I'd be like, I didn't do it. I paced around outside for two hours and then gave up and came home. But I think that's important. Like, again, I think if you're going to spend your time on something that's force-multiplicative, where like the impact of the field is really great, that's a good use of time. Same thing with being cross-functional. Like, I'd spend a lot of time with peers or with, like, different groups that were meant to support the overall revenue infrastructure because I knew if that broke, especially as we got bigger, the like immediate impact of that across a hundred sellers is really high. You don't ever want to be, and not that this is preventable at a certain scale, but like, you don't, for as long as possible, you don't want to be a leader who's just like out there in the clouds. Yeah. You want to stay close to the work. Yeah, like you want to be someone that, like, will just pick up and, like, call a rep that either is, like, doing really good work on a deal or that you know is like fighting the good fight on a renewal that's tough. But like, how are you being intentional about, like, I should probably go call this person and, like, check in with them and see how they're doing or, like, call this person running this big cycle for us and see if they want me to fly out. Putting in the legwork, I think, to create the right culture has hugely multiplicative benefits if, like, you do it correctly and you've hired the people around you who are doing the same because you kind of have like concentric circles of people that think that way. You end up having something that is, like, supportive and fun and dynamic and challenging and hopefully, like, really lucrative. Great. But even more importantly, like, give someone a network and a set of skills that they can take with them for the rest of their career. Never going to be a doctor, never going to be a lawyer. But for me, if I can, like, be a part of building revenue organizations that can, like, materially change people's lives, like, that's cool. That's a good place to end. Thank you so much. This was great. Yeah. I really enjoyed it. Same. Thank you for spending the time.