About John Kim
John Kim, former Executive Vice President and Chief Product Officer at PayPal and now CEO of the recruiting marketplace Paraform, appeared in a June 2026 interview discussing the impact of AI on hiring. Kim argued that AI has worsened hiring noise, with good engineers now receiving 1,000 recruiting messages per week and companies receiving 100,000 applications per role, making human recruiters more valuable rather than less. He described recruiting as "the most consequential matchmaking problem," stating that "humanity's progress and innovation is made by people" and that matching the right person to the right problem is critical.
Kim also shared advice for workers in the AI era, suggesting that individuals should think deeply about what AI is good at and what humans are good at, then "go deep" on the latter. He stated that technical skills like writing TypeScript are "no longer valuable" and "free," and that roles in sales and product sense are seeing increased value. Kim recounted his company's early struggles, noting that startups only "die when founders give up or you run out of money," and described a late-night brainstorming session where he and his co-founder jokingly considered "combining TikTok and DoorDash" to solve hiring challenges.
Source: AI-verified profile updated from John Kim's recent appearances.
Browse all interviews →
✨ AI-enhanced transcript with speaker attribution
J
John Kim0:00
I think one of us said, 'What if we combine TikTok and DoorDash?' We were delirious. It was like 3:00 a.m. and we had just lost all revenue opportunity.
I
Interviewer0:07
What happened in 10 minutes when you were almost giving up?
J
John Kim0:10
My co-founder and I made a pact. One of our values is you either win or lose and there's nothing in between. There were days where I would just wake up throwing up. It was just so hard and I didn't know how to solve it. What really helped was being empathetic to the challenges. Like companies only die when founders give up or you run out of money. It's very true.
I
Interviewer0:31
Are you in San Francisco? Are you in North Cal? Yep, yep. You know, what you're describing to me is almost like real estate. Like finding real estate in the Bay Area. If you know information about what houses are coming onto the market sooner or the intent to sell, things become a lot easier.
J
John Kim0:52
I absolutely agree, and I think there are actually a lot of parallels. It's a cool marketplace problem, right? Real estate, recruiting—there are a few others. I actually think the cool parallel with real estate is that there aren't that many important life decisions you make. Not only that, you spend most of your waking hours working. I also think it's one of the most inefficient markets, similar to real estate, where there's information asymmetry, all these different problems. But what I think is really cool about recruiting is that it's the most consequential matchmaking problem if solved. Humanity's progress and innovation are made by people. Even AI is made by people for people. And getting the right person to work on the right problem is the most important problem that all the smart people in the world should be obsessed about.
J
John Kim1:50
The cost of sending a message or email to someone is plummeting to zero, and the cost of applying to a role is also plummeting to zero. So, a good engineer who used to get 100 messages a week now gets 1,000 messages a week. And a good company that used to get 1,000 applications now gets 100,000 applications. The noise is getting even worse.
I
Interviewer2:10
If I'm a recruiter, what is my most valuable asset that I should carry from one company to the next or for all my clients? It's actually the candidates I work with. It's my network. It's my knowledge about the space. And how do I spot great candidates for a specific type of role?
J
John Kim2:32
I remember there was this one time where we must have worked from 8:00 a.m. to 3:00 a.m. for maybe four months straight. We were so close to making a hire, like our first hire, or close to making hires on a weekly basis. And the offer fell through. As you know, our model is we only get paid when you make a hire, or we only make revenue when you make a hire. And I just remember thinking, man, this is so hard. This is actually so hard. Then we were hungry, so we were on DoorDash. One of us was like, and we were picking for like 20 minutes talking about how hard it is. And I think one of us said, this is such a hard problem. What if you combine TikTok? We were delirious. It was like 3:00 a.m. Really difficult. We had just lost so much revenue opportunity. And we were like, oh, this is taking so long. Maybe we should solve this problem. And I remember we were like, what if we combine TikTok and DoorDash? So, you have a feed where restaurants could post photos. So, we were like, oh, you could do the filming. I'll go get the restaurants, all that. And then 10 minutes later we're like, what are we talking about? But actually, they released that feature recently.
I
Interviewer3:47
You mentioned your co-founder, Jeffrey, right? I think co-founding teams require tremendous trust. How did you know that he was the right person?
J
John Kim3:54
Jeff and I actually only met him four years ago, three and a half years ago. So, I was on a business trip to New York, and he was there too, and we kind of serendipitously met. But the three and a half years we spent together— that might as well be 30 years in terms of the level of difficulties we went through together. I mean, we still live together. You have to be sufficiently different but similar at the same time. Jeff and I are very different people fundamentally. Even if we look at the same problem, his answer and my answer are very different. For example, being more optimistic versus more pragmatic, how idealistic they are versus how pragmatic they are. But at the same time, sufficiently similar where we share the same values. We have the same moral compass of what's right or wrong, work ethic. There's sufficient ambition and goals. Actually, I found that over time we became more similar, which is interesting. I think he became more optimistic and idealistic than he used to be. I became more pragmatic than I used to be and sort of blended. But at the core, people don't really change. At the core, we're very different but becoming more similar, sharing that bond. But yeah, I think that's why it worked out.
I
Interviewer5:14
I would like to ask you a question on behalf of everyone who's kind of lost right now, with new grads and people who just got laid off. How should we get prepared? How do we make ourselves more valuable in the AI era?
J
John Kim5:29
AI or not, I think it's actually always the same, which is I think they call it professional Ikigai or something, where basically it's what you like doing, what you're good at, and whether it's valuable to society at that current time aligning—is truly a huge blessing. I think that you should find that as soon as possible. And I think for every single person in the world, that exists. And that should be the mindset. I was there not too long ago. I didn't graduate high school too long ago, right? What other people thought were cool or what pays the most—if you apply the AI era, what is useful to society. I think deeply about what AI is very good at and what humans are very good at. And distinguish them and go deep on the latter category. Sales roles are having a surge right now. Who knew that sales roles might be actually more valuable than software engineers? But I think for them, it's really about product sense, design sense, being able to understand what users want. Knowing how to write TypeScript is no longer valuable. It's free.