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Keith Rabois
Managing Director, Founders Fund

Hard truths about building in the AI era | Keith Rabois (Khosla Ventures)

📅 Apr 12, 2026 Lenny's Podcast 82 MIN 82780 VIEWS 207 SEGMENTS · 2 SPEAKERS
Keith Rabois was an early executive at PayPal (part of the famous PayPal Mafia), COO at Square, VP of Corporate Development at LinkedIn, and an early investor in Stripe, DoorDash, Airbnb, YouTube, Ramp, and Palantir. Currently he’s managing director at Khosla Ventures. Also, he hasn’t touched a computer since September 2010 (he does everything from an iPad). In our in-depth conversation, Keith shares: 1. The barrels vs. ammunition hiring framework (and how to spot barrels) 2. Why talking to customers is actively harmful for consumer products 3. How to identify undiscovered talent 4. Why the P...

Questions asked in this interview

12
  1. 3:00Is it just to avoid distractions?
  2. 13:17Any other questions you find really helpful in extracting the right information?
  3. 18:53Can they take an idea and make it happen?
  4. 26:19I know you have a lot to talk about here, but just like what's one tip?
  5. 34:47Is it like landing pages and test paid tests?
  6. 39:10My conclusion based on what you just shared is of the three roles, which role is best at that?
  7. 49:36Is there a story from that time in your life that would be interesting to share?
  8. 1:02:44And maybe what are some just like flags that like, okay, maybe don't work on that idea?
  9. 1:12:02If you go to days.ramp.com, it's like the number of days since they launched, and they're just always looking at that number. How long is it?
  10. 1:14:59Do you feel like that's negatively correlated — this idea of psychological safety — with success?
  11. 1:17:39Okay, first question: What are two or three books that you find yourself recommending most to other people?
  12. 1:19:00Is there a product that you've recently discovered that you really love?
Keith Rabois 0:00 ↗
The idea of a PM makes no sense in the future. The skill is more like being a CEO now, which is what are we building and why?
Lenny Rachitsky 0:06 ↗
There's a lot of anxiety in the job market.
Keith Rabois 0:08 ↗
AI is going to radically reorient lots of people's careers, maybe including mine. What I've noticed in some of the best organizations is the number one consumer of tokens is the CMO. They don't need to rely upon deputies and deputies and deputies to get actual work product.
Lenny Rachitsky 0:25 ↗
I want to hit on some contrarian takes that you have. Your advice: you don't actually want to be talking to customers.
Keith Rabois 0:30 ↗
I hate talking to customers. I refuse to allow colleagues of mine to talk to customers.
Lenny Rachitsky 0:33 ↗
You have this idea of criticizing in public versus in private.
Keith Rabois 0:36 ↗
High performance machines don't have psychological safety. They're about winning.
Lenny Rachitsky 0:40 ↗
You're uniquely great at helping companies build world-class teams.
Keith Rabois 0:44 ↗
If a founder shows the ability early in his or her career to assess talent ruthlessly and accurately, he or she can go very far with no other abilities whatsoever. It feels like it's never been harder to attract the best talent. Really talented people, when things are going well, they're not happy. The morale actually does go down when people are skating. The single role for the CEO is offsetting that complacency. The better you're doing, the more the CEO should push.
Lenny Rachitsky 1:12 ↗
Today, my guest is Keith Rabois. Keith's resume, both as an operator and investor, is absurd. He was an early investor in Stripe, Palantir, Airbnb, YouTube, DoorDash, Ramp, and dozens of other companies. He's part of the famous PayPal mafia, where he was executive vice president of business development and policy. He's also been chief operating officer at Square, VP of corporate development at LinkedIn. He's also co-founded two companies, and he's currently managing director at Khosla Ventures. It's safe to say that Keith is in the 99.9th percentile at identifying talent, building teams, and operating world-class companies. Before we get into it, don't forget to check out lennysproass.com for an incredible set of deals available exclusively to Lenny's newsletter subscribers. With that, I bring you Keith Rabois.
Keith, thank you so much for being here and welcome to the podcast.
Keith Rabois 2:07 ↗
It's a pleasure to be with you.
Lenny Rachitsky 2:08 ↗
Okay. So, when we were starting this recording, you told me you're doing this from an iPad, which I've never had. And you shared a crazy fact that you haven't used a computer in like years. Talk about what's going on there.
Keith Rabois 2:20 ↗
Yeah. So, when I started working at Square, Jack Dorsey was running the company off an iPad. And so, I immediately converted in September 2010. And haven't looked back. I haven't touched a computer since September 2010. Everything I do in my life is either done from my phone, my watch, or my iPad.
Lenny Rachitsky 2:36 ↗
What's so interesting about this, as you were talking, is just there's this trend of engineers starting to code from their phone. Like I had Boris Chern and Simon Willis, these two engineers that are like 10x engineers, and they're just like coding from their phone, talking to AI. And I feel like you've been preparing for this for a long time.
Keith Rabois 2:52 ↗
Yeah. Try to be ahead of the curve. Jack's very good at being ahead of the curve. If you just watch what Jack's doing and follow, you're in pretty good shape in technology.
Lenny Rachitsky 3:00 ↗
And just understand the benefit. Is it just to avoid distractions?
Keith Rabois 3:04 ↗
Yeah, partially distractions, partially just the flexibility. Like taking an iPad with you anywhere is just super easy. You know, some laptops have improved since then, but like the screen flexibility, angles, but like just the weight. Like I carry my iPad with me everywhere. So, there's no reason, there's nothing you can't perform unless maybe if you're doing heavy-duty engineering, which obviously has not been my forte in life, although I may have to start. There's no reason to use a more powerful, heavier-weight, less flexible machine.
Lenny Rachitsky 3:34 ↗
Wow. iPad maxing. Keith Rabois.
Keith Rabois 3:36 ↗
See if you got my Apple. As long as it's an Apple product, it works.
Lenny Rachitsky 3:40 ↗
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As I was preparing for this chat, there's just like so many directions we could have gone with this. You are so smart at so many things. I want to focus on something that I think you're uniquely great at, which is helping companies build world-class teams. And I want to start in particular with attracting the best talent. And what's really interesting these days, from what I can tell, is there's just like a lot of people that are struggling to find a job. It's taking a lot longer to find a job. It's just there's all these layoffs. On the other hand, it feels like it's never been harder to attract the best talent. There are so many amazing companies doing amazing things. So much money flying around, these hundred-million-dollar offers and things. And so from the companies that you are closest to that you see are best at attracting the best talent, what have they figured out? What are they doing differently? What are some creative things they do?
Keith Rabois 5:44 ↗
Well, let's start with first principles. The most important lesson I learned when I was working at Square from my board was Vinod Khosla was on my board and he said the team you build is the company you build. And that adage is the most important thing when you're creating a startup. People get distracted with the market, with customers, with a product, with technology. Ultimately, it's a team. If you have the right people, everything else will be easy. And if you have the wrong people, everything else is going to be difficult. So I actually learned this, Vinod distilled it, but I actually learned this back in my PayPal days. So, you know, in the early 2000s, why was PayPal so successful? Why were there such subsequent generations of successful, interesting companies for, you know, 25 years now? It's because Peter Thiel and Max Levchin marshaled an incredible density of talent. So it allowed PayPal to succeed where possibly we wouldn't have. And these people went on with interesting ideas, ambition, and talent to build epic companies, you know, in all kinds of verticals. So from day one, I've always been, day one of my technical career, technology career, I've always been focused on the importance of critical density of talent. How do you identify, retain, and promote people with talent? Back in the PayPal days, when I first started my career in technology, I actually truthfully was not very good at this. Fortunately, Peter and Max were. So, Max basically hired all the technical talent in the organization. Peter pretty much hired everybody else. They used their network primarily. So, it was very difficult to get a job at PayPal unless you had a first-degree or second-degree connection to the engineering team or to Peter through Stanford, which is a different type of recruiting model. It works really well if you have a strong network. I wouldn't recommend it for everybody, but if you have a network that has, you know, unique talent, there's no substitute. Interviews are not a great substitute regardless of how strong you are at interviewing. But when I started my career, I was mediocre at, let's say, hiring people. Probably 50/50. You know, some good people, some mediocre people. That doesn't allow you to scale a team with an unfair advantage. But what I learned to do is steal people from other people's organizations within PayPal, very successfully. So I got feedback from David Sacks, who was the COO at the time, that I wasn't going to get promoted again until I could demonstrate leverage, like leadership leverage, which he had an equation for of 1 plus 1 has to equal 3 or more. So for every incremental person you hire, you have to show that you produce disproportionate returns, nonlinear returns. And because I wasn't hiring that well, I wasn't really succeeding at that leverage. So when I went around, took the feedback into account, I said, 'Hm, okay, I really want to get promoted. What do I do?' So I found people within the organization that I felt had talent that were not being leveraged to the highest potential and ambition, and I recruited them to my team, and that was very successful.
And then I did get promoted actually fairly quickly because these people actually were up to speed. They were able to run really fast and we produced a lot of really important results for the company. The lesson though that I took away was, well, that's great because what it showed to me is I actually could identify talent. I just couldn't identify strangers with talent. So people that were in the building that I have lunch with or dinner with or go for a run around the PayPal campus with, I was accurate at diagnosing their abilities. I just couldn't do it, you know, in a 20-minute, 30-minute, 45-minute interview. So the first hand is just double down on people I know. That doesn't scale perfectly, but learn to be excellent at it. If I had context assessing people's abilities, superpowers, and, you know, weaknesses, then over the next X years tried to identify a different technique for identifying, assessing random people. Because ultimately, if you're going to build an organization, ultimately if you're going to be a VC, you can't just invest in people you already know. So that took some years and required some training anyway. I think you can teach some of this to a founder, but one advantage a founder has that's going to thrive is if a founder shows the ability early in his or her career to assess talent ruthlessly and accurately, he or she can go very far with no other abilities whatsoever. Hiring is like a muscle. You need to exercise it. You need to try, learn what worked, what didn't, what could you have known, what did you miss, why? And, you know, riff on that and try to get better at it. There are tactics you can learn. I think the tactics work pretty well within the middle of a bell curve distribution of moving yourself 10, 20 degrees within that bell curve. I don't think the tactics can really teach you how to identify, call it like top 10 basis points, top 50 basis points of talent. There you have to deviate from the norm. And I think that's actually true of most lessons in life. If you're going to be extraordinary at any skill, you can't follow a playbook. Otherwise, by definition, lots of other people would be, you know, the top 10 basis points. But you can get a lot better by learning techniques. So, for example, let's share a couple. One thing I think you can learn to do is be excellent at references. It doesn't work for hiring people right out of college or something because the reference context is going to be a little off. But I think without getting better at interviewing and assessing, if you just learn to extract the right information from ruthless referencing. So for example, ruthless referencing to me means Tony at DoorDash does 20 references on every single senior hire. 20.
Lenny Rachitsky 11:24 ↗
Wow.
Keith Rabois 11:25 ↗
I bet you he's pretty good. I bet he's been pretty accurate, too. So I think you can learn that. That's like a skill that's teachable, that being absolutely, you know, incredibly dedicated to your craft, you can just get better at. Back in the day, there's an investor at Greylock, who's on my board at LinkedIn, David Z, very successful investor, notable for both LinkedIn and Facebook investments. He used to teach at Greylock, you couldn't stop referencing a founder until you hit a negative reference. So you would know you had exhausted the reference when you finally hit a negative reference. And so I think there are tactics there in, you know, muscle building. How do you get the right information from the right people? How do you frame the questions, etc., that will lead you in the right direction. Now you have to be careful. Like, let's say I'll give you an example where this can go wrong. I've been a longtime investor from the seed round of a company called Fair, founded by two of my colleagues at Square. Max R and Jeff Cverson worked for me at Square, and then the two other co-founders also worked at Square. When people were reference checking Max, often most VCs asked the wrong question, which was, was Max a good employee? The answer to that is very mixed, and so some venture capitalists, including some very good ones, were nervous about investing in Fair. If they framed the question slightly differently, which is, is Max capable of being a world-class entrepreneur, the answer was yes. So again, it's like a tactic you have to understand, like what exactly am I trying to extract? Same person, wrong question, wrong result. And many people passed on Fair and they regret it. And these are actually quite talented investors, they just didn't frame the question correctly when they were calling someone like Jack Dorsey up for the reference.
Lenny Rachitsky 13:17 ↗
Any other questions you find really helpful in extracting the right information?
Keith Rabois 13:20 ↗
When I interview candidates for senior people in leadership positions, I always ask them, you know, look at whatever company they're at and say, 'If you were CEO, what would you have done differently?' And you get a feel for their strategic mindset of, you know, can they drive value creation? Because almost by definition they've come from a company that's had some traction, success. So can they end it? So for, in your case, I would have asked you, you know, if you were CEO of Airbnb, what would you have done differently? And you learn a lot from that question. On reference specifically, I think a general arc that's pretty good is asking the person what would lead to this person being most successful. And if something were not to work out, what would be the primary root cause that you can identify of something going wrong? I think generally probing on those two arcs leads to a lot of insight.
Lenny Rachitsky 14:10 ↗
And that first question is for the candidate or is that in the...
Keith Rabois 14:13 ↗
For the candidate. That's for the candidate specifically.
Lenny Rachitsky 14:15 ↗
Got it.
Keith Rabois 14:16 ↗
Because it's not like I don't want them to criticize Airbnb. I don't think that's that productive. But you can tell how much of the current business model have they absorbed, how much they understand tradeoffs, and then can they create an unfair advantage? You know, can they have insights into afterburners? And then I have a follow-up question which is usually gold, which is, let's say I ask you this question about Airbnb and you give me this great answer, I'm like, well, why didn't you, why weren't you able to persuade Brian to do it?
Lenny Rachitsky 14:43 ↗
So you made this interesting point that there's like tactics that can help you get better at finding and identifying talent. A lot of this is just the feedback loop of doing it a bunch. Sounds like I find the feedback loop is so like it's hard to actually like most people interview, hire, and then don't really learn much from how it ends up going. Like there's this gut thing that happens but they're not like really thinking about it. Do you have any advice for just how to make the most out of the lesson of seeing how something went?
Keith Rabois 15:09 ↗
So I've read some research on the topic, and if you ask yourself 30 days after any hire, would you make the same decision? That 30-day loop is pretty useful, and it basically is as accurate as measuring it a year or two years out. So you got a pretty tight feedback loop, and you can ask the entire hiring team. So I think that is like just a technique that every company should use.
Lenny Rachitsky 15:32 ↗
I want to talk about this framework that you have, barrels and ammunition, because this is really mind-expanding and helping people understand who to even hire. So look, most companies raise money, they have some traction, they raise, you know, do a seed round, they get launched, they get some traction, then they raise a lot of money, whether it's a Series A or Series B, and then they hire a lot of people, infallibly or at least historically. And then the CEO almost without exception gets frustrated because they've hired a lot of people, the burn rate has increased a lot, and they don't feel like more is getting accomplished per unit of time, per day, per week, per month, per quarter. And they get frustrated, and so then they sit around at a dinner with other CEOs or people like me or one-on-one conversation with me and are incredibly unhappy and disappointed that I'm spending all this money on all those people but we're getting less done or the same done. And why, after years of sitting through these conversations at dinner with other CEOs or COOs, I realized that the fundamental driver of this is that the number of people that can independently drive an initiative from inception to success is very limited within any company. And if you hire more people without expanding the number of what I call barrels that can drive from inception to success, all you're doing is stacking people behind the same initiatives. And so you're wasting time, energy, and increasing your collaboration tax, your coordination tax. And so that's what causes the drag coefficient. So for example, at PayPal, well, we had about 254 people in Mountain View when we were acquired. Of those people, depending on how strict you really want to be, it is considered one of the best talent-rich networks of all time in technology, there's between 12 to 17 barrels in the organization. That's like an infinite number. I once asked Jack Altman on a podcast at Glattus, who's a pretty damn big company, how many barrels of the company? The answer was two. That's a more common answer for a very good company. So you have between two and let's say 15 barrels at a company that defines the unique number of things you can do in parallel versus sequentially. And just hiring more people is not going to change that, and if anything it's just going to cause a collaboration or coordination tax, and you're going to have a drag coefficient, you're going to do less. So the key to me is, if you want to do more or need to do more, your market requires you to do more, your business model requires you to do more, VCs require you to do more, you need to have more barrels. Now the question is how and when, and you know all this, there's a lot of details there, but fundamentally the ratio of barrels to ammunition is what dictates the number of important initiatives that can be pursued simultaneously.
And you're not saying you don't want ammunition, like it's valuable to make an impact, you need ammunition in addition to...
Keith Rabois 18:20 ↗
You definitely need ammunition, and it depends on what kind of project. There are types of projects where an individual barrel may be able to succeed with very limited or no ammunition. Sometimes it may be a designer, an engineering team, a PM, a data analyst, blah blah blah. It depends on what the project is, what the problem you're trying to solve is, what's the proper amount of ammunition. But once you think about the ratios of ammunition to the problem, you can be much more constructive and deliberate and intentional about the team construction.
Lenny Rachitsky 18:53 ↗
Most people hearing this assume they are barrels. What helps you understand if someone is truly a barrel? Can they take an idea and make it happen?
Keith Rabois 19:02 ↗
Basically, we're going up that there's a hill over there. That's the hill. Get us over that hill. And one way or the other, they will motivate people if they need to. They will accumulate resources if they need to. They will measure what they need to. And they're going to get your company across that hill. That's a barrel. Anything less than that is not a barrel.
Lenny Rachitsky 19:27 ↗
And so this is skills like internal org stuff, resource, like strategy, like what...
Keith Rabois 19:33 ↗
Yeah, it's kind of the collection of all the things together.
Lenny Rachitsky 19:35 ↗
Collection of all those things, basically there's an outcome.
Keith Rabois 19:38 ↗
Co-founder wants an outcome, and come hell or high water, this person is going to deliver that outcome. Then the outcome can be, you know, fairly narrow and not that difficult in the beginning, and then you expand the scope, you know, the complexity, the difficulty that you basically entrust to your barrels. And sometimes they have no line of sight of how to solve it when you start. Sometimes you have a preliminary idea. So it ranges, but ultimately it's that skill of, I'm going to take this off your plate. You can fire and forget, and this is going to happen. And it's not going to happen. I am going to come back to you proactively with the issues I'm confronting, what I've already tried, the diagnosis of the root causes, and ask for your help with sufficient time for you to intervene and try to brainstorm with me to get us to the right answer.
Lenny Rachitsky 20:29 ↗
Agency is the word that comes to mind when you talk about this role.
Keith Rabois 20:32 ↗
Yeah, I think agency is accurate. The problem I have with terms like agency is it's like a little bit like strategy because in one ear a lot of people went and out the other and they don't really process the meaning.
Lenny Rachitsky 20:42 ↗
Yeah. Who are some examples of barrels that make this real to people can understand what you're talking about?
Keith Rabois 20:47 ↗
You know, I talked to my YC lecture in 2014 about how to operate. They can be as simple as the now somewhat famous in technology smoothie test, which is, you know, we used to have engineers work pretty hard at Square and pretty late. And I always wanted them to have like food so they wouldn't be famished, they wouldn't be distracted. And I didn't really want them to eat like junk food because I actually think junk food is bad for you, bad for your brain, etc. So I settled on delivering and really wanted to provide like a 9:00 p.m. like cold smoothies. And we had at that time a pretty substantial team at Square, office team, EAS, you know, this was not a lean mean organization. And so I tried through the office team, EAS, and nothing. We never got healthy, delicious, and cold smoothies delivered at 9:00 p.m. Just kept that one. It's getting frustrating because if the smoothies aren't cold, then no one's going to eat them. If they don't arrive at 9:00, no one can really bank on, you know, the refresh rate, the refreshments. Everything went wrong. And then I had this intern named Taylor Francis. And I was explaining just my frustration. It was like his second day, and he's like, 'I'll solve it.' And I was like, 'Okay, kid, you know, good luck with that.' Like I was like, 'Sure, keep trying.' Anyway, day goes by, 9:00 arrives, and lo and behold, smoothies show up at 9:00 p.m. delivered on the standing desk table where the engineers would congregate. I sample them. They're cold. They taste great. And I'm like, 'Oh my god, I found a barrel.' And I later gave him almost everything to do.
Lenny Rachitsky 22:37 ↗
I want to go back to actually the first question we did. You shared some amazing advice for how to identify great talent. But I'm still curious when you find that barrel, for example, when like everyone's throwing money at them, there's all these amazing teams to join. What are some things that companies do to attract and convince them to join their team?
Keith Rabois 22:56 ↗
The standard stuff is still true. Mission, selling the vision and mission is indispensable. Most people who have proven talent anyway, at least in the current world, are going to attract offers from multiple, you know, opportunities. And so you've got to convince them that your opportunity is very special. I think one way to do that that's a little bit more nuanced is convince them that their particular skill overlaps with the critical blockers to the current company. Meaning they're betting on themselves. So for example, if they are superb at let's say marketing, if the biggest blocker in the company's current success is not technology, not the product, but we believe it's marketing, it's really easy to go to a world-class marketing person and say, not only is this great company building something really cool and interesting that you'll be proud of, but your particular ability is very unique and differentiated and you can solve this. This is actually how I wound up at Square back in 2010. I was actually, I'd just been acquired into Google and was planning on being a VC actually next after I was kind of like vesting whenever Google is going to compensate us. And then the investors in Square called me up and they said, 'Hey, we've been looking for almost a year now for someone who knows something about financial services yet is still entrepreneurial.' And they were like, 'Hey, there's only three of these.' At the time, 200 was like, 'There's only really two or three of you in the world, you know, so would you be interested?' And I said, 'Well, maybe.' But that was the argument to me that made me leave Google early, like after two weeks, and infuriate everybody and bypass, you know, venture for another three years, which had been my plan, was because they made the argument that, hey, I was one of three people in the world that could actually do this job. So there's like a, I don't know if it's ego, but it's also just like impact.
Lenny Rachitsky 24:55 ↗
Yep. Well, exactly. Impact. Like you have talents, you want to use them, and you want to feel that you're challenged every day and that what you're doing really, really matters.
Keith Rabois 25:03 ↗
So I think that can be extremely helpful. You know, my more important arc in this is I think you have to build a company on undiscovered talent. Like I don't think you really want to compete for the people that everybody else wants, right? And you know, I learned this at PayPal. Peter taught me this literally the first day and first week of my job at PayPal that the way to build a company, we were jogging around the Stanford campus, is we've got to find these undiscovered talent. That's the only way to scale organization against these large incumbents with infinite money, etc. And you know, I've been on that crusade for 25 years. For those who are interested, you can link to it. I gave a speech at Ramp, you know, how to hire, but talks in detail. I also recommend Eric, CEO of Ramp's speech, which is fairly similar. Both videos are online.
Lenny Rachitsky 25:49 ↗
That's such interesting advice and makes so much sense. You're not going to be able to afford the people that have done the thing at top companies, and also they're just probably not the people to join early.
Keith Rabois 25:58 ↗
Well, they're also not maybe the people you want. So there's adverse selection, but you know, it's like a salary cap. Most sports these days have salary caps. And when you're a startup, not only do you have a salary cap, you probably have one-tenth the salary cap of the people you're competing with. So you've got to figure out how to leverage, you know, less assets to more success.
Lenny Rachitsky 26:19 ↗
What's just one tip when you're looking for undiscovered talent that's a sign of, okay, this person is really special? I know you have a lot to talk about here, but just like what's one tip?
Keith Rabois 26:27 ↗
I think it's basically isolating why other people aren't going to process them correctly. Like most recruiting at large organizations becomes sort of a homogeneous function. And so if you understand why this person is going to get thrown into this black box kind of thing and not get processed accurately, it's pretty easy. So I always think about, you know, let's say this person was interviewing at Meta or Google or Block these days or Coinbase. What are they going to miss and then why? And then that leads to, oh, perfect. So sometimes it's just lack of information. Like one of the reasons why, you know, sometimes it's controversial to say this, but one of the reasons why the net impact of my hire undiscovered talent is you wind up skewing younger. It's not because you need young people. It's that younger people have by definition less data. It's like a, you know, we use credit scoring, FICO scores. It's the same thing for employment. By the time you're over 30 some odd years, there's so many data points about you that this black box machine is usually going to process you like many other people. If there's no data points, it's very hard for a black box machine that does homogeneous evaluation to evaluate you. So there is alpha, so to speak, by definition for people who have like no data points.
Lenny Rachitsky 27:47 ↗
It's interesting how this is the same skill as being an investor, picking startups to invest in.
Keith Rabois 27:52 ↗
Yeah, absolutely.
Lenny Rachitsky 27:53 ↗
Okay, I want to talk about something else. I asked a few people that know you well that work with you at various companies what to talk to you about. And one person said that when I asked him what to talk about, he said my immediate reaction is that he is a bar raiser. No matter what kind of numbers we put up, he pushes us to do more. In fact, often it seems like the better we do, the harder he pushes. Does that resonate?
Keith Rabois 28:16 ↗
Yeah, I think that's true. I mean, I think look, ultimately, I'll channel someone else's feedback, but it's the same vein. So a friend of mine who's a CEO once asked Mike Moore, it's like, what's the most common denominator of the best CEOs ever? And he said, it's the relentless application of force. Quote, I think that's the job of the CEO. People eventually get comfortable, complacent. The more success you have, the more complacent the organization tends to get. And the single role for the CEO is offsetting that complacency. So for the point, the more success you have, the better you're doing, the more complacency naturally kicks in. And unless you've erected a network effect, you do not want to get complacent. And even then debate whether you should, but like fundamentally most businesses are not network effect businesses. They are not going to run on, you know, on their own for a long time. So I think that's one insight is the better you're doing, the more the CEO should push. Secondly, it's a little bit like sports when you're growing up. People when they're winning take advantage of feedback better than when they're losing usually. Like so for example, you know, now what I do is mostly VC, mostly a board member, mostly like a consigliere to founder. And when a company's struggling, maybe what's less intuitive, and you may have picked up on this in your research and, you know, interviews of people who know me, when a company's struggling, I'm actually usually a very non-critical and more like a coach and supporter because the company, the founder knows they're struggling. Being critical doesn't really help them solve their problems. That's when being supportive can actually somewhat counterintuitively be more important. But when the company's thriving, it's really important to be critical and isolating things that will eventually be problems while everybody in the company is really happy and borderline complacent. So you kind of want to be the opposite as a default. And that's like a really good sports coach. When you're winning is when to polish everything and really master the details. When you're losing, you definitely also have to be exciting people and embracing the future and selling the future.
Lenny Rachitsky 30:30 ↗
So is the advice, say someone's listening, a founder or product leader, the advice here is just keep pushing harder, set the bar higher as things, even if you're doing great.
Keith Rabois 30:40 ↗
Yeah, if you're doing great. Well, also you have to remember like I remember giving a speech once in Square is like you get to a certain threshold creates inflection momentum gets you a certain, you know, valuation and all these like attributes, but it's kind of like winning a Super Bowl. You get the last year was great. Last four quarters were wonderful. It's like winning the Super Bowl. You got to come back next year and start your record zero zero again. And you got to remember that actually venture is like that. You know, I'm only as good as my last investment. I've had like 13 years or whatever of pretty damn good investments. But like truth, I have to wake up every day and find some undiscovered founder that's going to change the world. And if I don't do that, it doesn't matter what I've done the last 13 years. And a company's kind of like that. The company can skate on autopilot for a while. Venture, you really can't ever skate.
Lenny Rachitsky 31:32 ↗
I definitely saw this with Brian Chesky. Just felt like things were going great and we just shipped amazing products and growth is up and he's just always like pedal to the metal no matter what. Just like come on, when are we going to take a little break? And it's interesting because when we did have little breaks here and there, morale actually went down because people are like, what am I working on? I don't know. That's not that exciting.
Keith Rabois 31:53 ↗
Brian and I are usually in sync a lot. There's a really good interview where I interviewed him also at the same conference of how to hire when he talks mostly about founder mode, but I generally subscribed to virtually all of Brian's views. He even taught me some of these things himself. But the more important point I think you identified, which is very subtle, is really talented people are like superb athletes. And when things are going well and people are really kind of coasting, they're not happy. They have an internal clock tempo. They just want to create things and create value and drive, drive. And like, you know, like the morale actually does go down for the best people in the world when people are skating.
Lenny Rachitsky 32:37 ↗
Okay. So actually along those lines, there's a lot of anxiety in the market, in the job market about the future of careers or am I going to have a job? Am I going to like where are things going? And it just feels like people are working very, very hard. They're just putting a lot of hours, especially the most AI-pilled people. It just feels like they're working harder than ever. I don't know if you saw this thing Tyler Cowen put out of just like work harder. Now is the time to work harder because AI is eating away at your value. You know, I probably talked to a lot of people looking for career advice of just like this feels scary and I feel like I'm working too hard. What should I do? I don't know. Do you have any just like advice for folks?
Keith Rabois 33:15 ↗
Well, I do think AI is going to radically reorient, you know, lots of people's careers, maybe including mine. So I think that's actually true. And I think the way to thrive in a rapidly emerging technology world is to be intellectually curious. So for example, you know, I'm a business person historically. You know, I did actually code when I was really young, but like basically professionally just a business person. What I've noticed in some of the best organizations is the number one consumer of tokens is the CMO.
Lenny Rachitsky 33:49 ↗
CMO. These people are intellectually curious.
Keith Rabois 33:52 ↗
And so they're like, 'Wow, there's all these cool things I can do now with my hands. Either I had to rely on other teams or never got access the way I wanted and blah blah blah,' and they just do it. This is actually true at Open Door. It's true at another great company that I'm on the board of that's incredible. And so I think you can be intellectually curious and future-proof yourself more than just, yes, you can work harder. I'm a big subscriber to like no days off and working all the time and all that stuff, but fundamentally the intellectual curiosity is able to learn new things and that is how you embrace the future.
Lenny Rachitsky 34:28 ↗
So, and you said CMO is who's using both these two companies. Interesting.
Keith Rabois 34:34 ↗
Both massive, you know, awesome companies with lots of engineers. And I think that's very encouraging. You know, for the executive particularly, like this is definitely like the best executive in the company.
Lenny Rachitsky 34:47 ↗
And what are they building? Is it like landing pages and test paid tests?
Keith Rabois 34:51 ↗
Well, sometimes it's like more like what we would have thought of analytics.
Lenny Rachitsky 34:55 ↗
Sometimes it's actually campaigns, like actual campaigns.
Keith Rabois 34:58 ↗
It's just like they don't need to rely upon deputies and deputies and deputies to get actual work product. And so they're just like shipping things and like or shipping, you know, drafts of things or giving the CEO insights into things themselves.
Lenny Rachitsky 35:15 ↗
I want to get your take on the future of specifically the product triad. You work with a lot of product people, engineers, designers. Everyone's always wondering what the hell is going to happen with my career. Thoughts on just the future of those three specific roles?
Keith Rabois 35:30 ↗
Well, I saw this podcast or listened to this podcast that Peter Fader did, and he convinced me that the idea of a PM makes no sense. Basically, in the future, if you think about decomposing the logic, is what does a PM usually do? They take these inputs from customers. They create this sequential roadmap that's well organized over the next year. Blah blah blah blah blah. That world is like ridiculous. Like right now the capabilities of foundation models or companies like Lovable and, you know, things like that are just so improving at such a rapid rate that it makes no sense to have a year-long roadmap and they're just like incoherent. There are things that were impossible to do in November that are actually pretty easy to do right now in March. And so I think you need to build an organization that's incredibly adept at, you know, people say nimble and all this stuff, but incredibly adept at changing the roadmap almost on the fly. And I think intermediaries like conventional PMs don't make a lot of sense versus being prepared intellectually, embracing, exploiting, noticing. So someone needs to notice that, oh wow, we can actually do this, but then exploiting it this week is the future of a very high-growth stellar startup will notice that something's now possible this week and create new features and new value for customers next week.
Lenny Rachitsky 37:01 ↗
That's such an interesting area of discussion. A lot of people listening to this are PMs, so when I try to defend that role just to see if I can convince you otherwise. And by the way, I will say Marc Andreessen had this really good visual of just what's happening here is like all those three functions, it's like the standoff where they're all like, 'I'm taking the future is my role. The future is design. That's engineering is the future.' So the way I see it is as AI makes it easier to build and kind of eats the middle of the software development process. Just anyone can build. You tell AI, here's what I want. The hard part, the gap at least for now is figuring out what to build and then aligning everyone around what to build.
Keith Rabois 37:38 ↗
I agree with that. I actually think like whether you talk about someone who used to be a PM or someone used to be a designer or called an engineer, the skill is more like being a CEO now, which is what are we building and why?
Lenny Rachitsky 37:50 ↗
Exactly.
Keith Rabois 37:51 ↗
And to be a successful engineer, that trait's critical to be a successful designer because the tools and the ability to actually create the thing, an object, is going to be easier and easier. But the art is knowing what to build. You know, another competitor of mine, Alfred Lin at Sequoia, likes to talk about being a chef. When you're a chef at like a prime restaurant, you're not actually cooking the dish. You're sampling, you know, your colleagues and, you know, editing their work a little bit. But fundamentally, it's half a commercial role. Being a chef in a famous restaurant is what's our value proposition, how do we differentiate ourselves, how do we brand ourselves, what's our segment, what's our pricing, you know, etc. What's our location even? That's what makes, you know, a famous chef. It's not they're literally cooking the dish all the time.
Lenny Rachitsky 38:41 ↗
Okay, I 100% agree. Interestingly enough, PMs are called mini CEOs often. And I think the important thing is it's not like what do you call this person? I think the question is what skill will be most like where human brain is still going to be necessary.
Keith Rabois 38:55 ↗
Business acumen. It's basically a business acumen.
Lenny Rachitsky 38:58 ↗
Right? Like what will help this company grow and succeed and...
Keith Rabois 39:01 ↗
Exactly. I understand the company's business equation, where we're trying to go and what the inputs and connection outputs are.
Lenny Rachitsky 39:07 ↗
And I can...
Keith Rabois 39:08 ↗
On my own...
Lenny Rachitsky 39:10 ↗
Create things that move the needle or potentially move the needle. It's very exciting because you know you can actually drive impact like much more easily now as an individual. My conclusion based on what you just shared is of the three roles, which role is best at that? And historically it would be PMs. Obviously, I think the important thing here is it's like the best, you know, it's like great PMs or great engineers, designers will do well, but I think interestingly what you're describing to me is what it sounds like what a great PM would be really good at. Basically...
Keith Rabois 39:41 ↗
If they were exceptional, I think that's right. But I think a lot of the best engineers I've worked with have commercial instincts. Like Max Levchin has this on steroids. Jeremy Stoppelman, you know, who's worked with me very closely at PayPal before he started Yelp and got promoted to be engineering director and vice president of PayPal, had commercial instincts, you know, back when he was an individual contributor. So I think there are great engineers who are technically proficient that have always understood the business building.
Lenny Rachitsky 40:08 ↗
Yeah, I think that's like the ultimate unicorn is an engineer that is also very business-minded.
Keith Rabois 40:13 ↗
It's going to put a premium. I think this will, at the age of AI, will put an incredible premium on that because they're not going to need a large team. You're not going to be marshaling the forces.
Lenny Rachitsky 40:24 ↗
Like, you know, another example is a good friend of mine is director of engineering at Ramp. He ships as much code personally. So he has a team of about 20 people. He personally ships as much code as he used to as an individual contributor while he's managing a team of 20 because the tools are so great and he's become a leading pioneer in the usage of AI and he's basically using AI as a second team. He's basically like, okay, you're the team manager, you do this, you do this, you do this, stitch this together, check this out, blah blah blah. And I think that is definitely the future.
I 100% agree. Engineers that are very good at that are just extra valuable. What's your take on design in the future?
Keith Rabois 41:04 ↗
I think design is going to be transformed as well. The tools are going to make it much easier to produce designs, but the taste and the judgment of what to build, what the experience should be, that's still going to be a human skill. And I think the best designers are going to be the ones who can think about the business, think about the customer, and then use the tools to produce things much faster than they could before.
Lenny Rachitsky 41:06 ↗
What about design? The value of design?
Keith Rabois 41:08 ↗
Well, you know, it's interesting. I think design and code are merging, and it's not clear to me who triumphs — whether it's code becoming design or design just translating automatically into code. I bet on both in some ways, but I think they're merging in a way where they're not separate things anymore.
Lenny Rachitsky 41:33 ↗
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Keith Rabois 42:42 ↗
What I'm seeing is something really interesting happening with design. On the one hand, I just did some analysis on the job market for design and it's basically plateaued in terms of the number of open design roles over the past three years — it just hasn't gone anywhere. It's flat. We had the head of Claude design, Jenny Wen, on the podcast, and she had this kind of insight that in the design process, there's no time for the traditional design process. Engineers are shipping 17 things a day. There's no time to sit there and help mock and prototype and all these things. Well, let me give you a couple of concrete examples. So, at Shopify, the way they've developed — they've been doing this for over two years now — so this may seem normal, but they have not let PMs provide PowerPoint or Keynote presentations on product for like two years. Every presentation on product has to be a workable demo. And they just expect the PMs to create the products, and the execs just refuse to look at static, you know, 'we're going to have this feature.' No, I want everything working. This is for two years. So, I think that, you know, again, like everything's just merging together.
Lenny Rachitsky 43:51 ↗
That's so interesting. You would think, though, because there are so many products launching every single day — like there's just endless things to pay attention to — you would think design would be a differentiator more and more.
Keith Rabois 44:02 ↗
I do agree with that. I do agree with that, actually. I think the alpha is in design. Just like in marketing, it's not the tools, it's not the channels, not the metrics — it's the storytelling. It's how do you cut through the clutter in the snappiest, most compelling possible way. There's kind of an NP problem — there's so many different words you can use to express the same concept. But the person who can say this is the way to frame it, you know, the proverbial 'a thousand songs in your pocket' is worth like all the tools in the world.
Lenny Rachitsky 44:31 ↗
Yeah. So that's the other part of my insight recently. Just as AI makes it easier to build, it's kind of expanding from the middle out, and what remains is figuring out what to build and iterating on the idea, and then it's at the other end of the spectrum, which is distribution — getting anyone to pay any attention to what the heck you've done, because again, there's so much happening every single day.
Keith Rabois 44:48 ↗
Cutting through the clutter. I mean, that's always been critical. One of the times when people are pitching me as an investor, it's one of the things I'm dialing into, you know, immediately — how the hell is this going to cut through the clutter? It's one of the reasons why I don't like to take customer feedback into account, because by definition, when you put something in front of a customer, that's not a proxy for the real world. In the real world, you have to cut through the clutter while they're going to their Barry's boot camp, while they're doing their job, while they're raising their kids, you know, etc., etc., while they're walking, while they're on the subway. Like that, you know, an isolated fake experiment doesn't give you actionable insights and often is directly misleading.
Lenny Rachitsky 45:26 ↗
Interestingly, on that line, there's a few companies that are launching. Similey is one that is simulating humans. I don't know if you heard about this company. They basically are building AI models of actual people so that you can simulate your marketing launch and your product experience with people before you launch.

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APA

Rabois, K. (2026, April 12). Hard truths about building in the AI era | Keith Rabois (Khosla Ventures) [Interview transcript]. Lenny's Podcast. CEOInterviews.AI. https://ceointerviews.ai/interview/3005107/

MLA

Keith Rabois. "Hard truths about building in the AI era | Keith Rabois (Khosla Ventures)." Lenny's Podcast, 12 Apr. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/3005107/.

BibTeX
@misc{rabois2026_3005107,
  author       = {Keith Rabois},
  title        = {Hard truths about building in the AI era | Keith Rabois (Khosla Ventures)},
  howpublished = {Interview transcript, Lenny's Podcast. CEOInterviews.AI},
  year         = {2026},
  month        = {apr},
  url          = {https://ceointerviews.ai/interview/3005107/},
  note         = {Speaker-attributed transcript with timestamps}
}