00:58:56 · Joubin Mirzadegan, Mati Staniszewski
[00:58:56] S1: Okay. London and New York. Like, do these conversations even exist? Like [00:59:03] S0: They do, but less... You know, it's it's an interesting one. For SF, they are definitely more frequent. Yeah. I guess that's, like, you know, the density of founders and companies and investors is just much higher. So I'll use that as my litmus test of of That's true. Whether the AI ecosystem is growing in those two. [00:59:24] S1: That's right. That's right. Or Waymo comes over there. [00:59:26] S0: Or Waymo comes over there. [00:59:27] S1: I heard Waymo's coming to New York or he's in New York. [00:59:30] S0: That'll be a good test for [00:59:32] S1: a Waymo. That's about as good as he gets. That's about as good as it gets. [00:59:36] S0: There's Wayve in in London, which is great, which is self driving software for for cars, and it works it works really well. [00:59:43] S1: Yeah. Yeah. Anyway... And maybe on the headcount piece. So, like, as you forecast your headcount for next year, are you gonna double? So two answers there. One is we mostly think about headcount as, like, a
00:59:43 · Joubin Mirzadegan, Mati Staniszewski
[00:59:43] S1: Yeah. Yeah. Anyway... And maybe on the headcount piece. So, like, as you forecast your headcount for next year, are you gonna double? So two answers there. One is we mostly think about headcount as, like, a [00:59:59] S0: corollary to the output we want to achieve. So, you know, if we if we know there are specific projects we want to run or scale, then we'll increase the headcount. They are not like a goal in itself. But as we look about kind of where we want to be in the next twelve months, yes, I think we would double double the headcount. I think I think somewhere between... Somewhere over 500 people in the next twelve months is is is likely as we think about scaling, especially now we work very internationally. So we have a lot of our clients here in US, but then also across South America, Asia, Europe. So that's going really well. Two, lots of flanks that we need to win across, and and those products, especially in enterprise setting, are starting to get more complex than we want to be able to deliver to any complexity, so that will require more people. And then research too. Like, we see increasing move from from from from the models we create into how do you combine them with other modalities so we can derive that value. So that will also evolve a little bit. [01:01:03] S1: Do you sleep well? Like, it's like a JLU is gonna fit. [01:01:05] S0: Yeah. I think so. I I I Like, you are [01:01:08] S1: enjoying this. It's not, like, overwhelming you? So I sleep
01:01:08 · Joubin Mirzadegan, Mati Staniszewski
[01:01:08] S1: enjoying this. It's not, like, overwhelming you? So I sleep [01:01:11] S0: well. Caveat, the travel makes it a little bit harder because I travel a lot, and and it's like I do a quarter without travel, almost a quarter with a lot of travel. And that's tricky because then you swap time zone so much that even though I'm trying to, like, measure and get the sleep in the right cadence, I don't know whether it's good good for me. But but just from, like, emotional perspective, look. It's a once in a generation shift that's happening. AI is changing the world around us whether... You know, regardless of the timing of a lot of those things. It's changing so much in the process, work that we do, and and getting us smarter, quicker across the entirety of our lifetime. And we can be the voice of that change. We can be the voice of technology, which is a rare opportunity and chance that both I and I think the entire team have have lacked to be working on. [01:02:10] S1: For sure, man. You do quarterly travel. [01:02:13] S0: I do. I try to, like, be in a one continent and one quarter roughly and then maximize my travel during that that quarter, and then another quarter focus on the deeper work. [01:02:23] S1: That makes sense. I appreciate you doing this. [01:02:26] S0: Thank you. Congrats on the on the startup, and excited for you too. [01:02:29] S1: Thanks, man. I appreciate it. I'm... I can't wait to see... I cannot wait to see how this unfolds, and I cannot wait to see your role in it. I cannot wait.
01:02:29 · Joubin Mirzadegan, Mati Staniszewski
[01:02:29] S1: Thanks, man. I appreciate it. I'm... I can't wait to see... I cannot wait to see how this unfolds, and I cannot wait to see your role in it. I cannot wait. [01:02:39] S0: I think regardless of how that unfolds, I... We need to do a test of checking whether you can actually tell the uncanny value for some of the voices, as I think the quality is pretty good. [01:02:50] S1: Well, the amount of freaking podcasts that I've done, you have plenty of training data. There's plenty of things that you can You [01:02:56] S0: can work together on making it happen. [01:02:57] S1: Plenty of things that you can use. Are you hiring? What are you hiring for? Where are you hiring? [01:03:03] S0: We are hiring. We are hiring constantly. The current top roles would be helping us on a lot of the product work. So if you are excited about building out a frontier of agents, frontier of creative work, we need we need people to to to to bring it to the enterprise, work deeply with the customer, and figuring out how to deploy that across some of the Fortune five hundreds. So whether, a, you are just in a great full stack or a great deployment engineer, for deployed engineer, that's great role. Two, on the go to market side, similarly, if... You know, I do think the role of how close you are to GPT 3.5 can be extended to other parts as well. But if you are excited about the technological shift and and doing zero to one, then on go to market side, we we love technical, highly analytical people to join the team as well. Yeah. This would be top two. I love the LICs.
01:03:03 · Mati Staniszewski, Joubin Mirzadegan
[01:03:03] S0: We are hiring. We are hiring constantly. The current top roles would be helping us on a lot of the product work. So if you are excited about building out a frontier of agents, frontier of creative work, we need we need people to to to to bring it to the enterprise, work deeply with the customer, and figuring out how to deploy that across some of the Fortune five hundreds. So whether, a, you are just in a great full stack or a great deployment engineer, for deployed engineer, that's great role. Two, on the go to market side, similarly, if... You know, I do think the role of how close you are to GPT 3.5 can be extended to other parts as well. But if you are excited about the technological shift and and doing zero to one, then on go to market side, we we love technical, highly analytical people to join the team as well. Yeah. This would be top two. I love the LICs. [01:04:00] S1: When you hear the word great, what do you think of? [01:04:04] S0: When the hard times are there, are you still fighting and and going after it and and try to do the best the best you can to to go through it? [01:04:14] S1: Thank you, man. [01:04:15] S0: Thank you. [01:04:17] S1: That's it for now. If you like the episode, please leave us a review or go back into the archives where we've done more than 200 episodes with some fantastic folks. This podcast is a Kleiner Perkins production, and I'm Joubin. Thanks for listening.