Skip to content
Dalton + MichaelDalton + Michael

How To Build A Successful Career In Tech: Where To Join, When To Leave

In this video, Dalton and Michael dive into tactics for having a successful long-term career as an employee in tech industry. Timing matters, having a good sense for where the talent density is (and where it is moving to) is a great technique for deciding where to consider joining. Watch out for getting caught in a local maxima and focus on the long game. Dalton + Michael is brought to you by @Standard_Cap Dalton Caldwell on X: https://x.com/daltonc Michael Seibel on X: https://x.com/mwseibel

Dalton Caldwellhost
Jun 29, 202612mWatch on YouTube ↗

EVERY SPOKEN WORD

  1. 0:001:34

    Career leverage comes from finding “pockets of talent”

    1. DC

      We worked with Sam when he started OpenAI, and Sam was like, "X, Y, Z is gonna happen." Anyone that was like, "Okay, Sam," like, "I'll follow you," did great.

    2. SP

      Yeah.

    3. DC

      And 98% of people were like, "No, no, no, no, no, no."

    4. SP

      That's crazy.

    5. DC

      And so there's- there's often super talented people that you know are talented, that people still choose to ignore. [upbeat music]

    6. SP

      This is Dalton + Michael, and today we're gonna talk about how to have a successful career in tech. So we know there are a lot of people who watch our videos, not all of them doing startups. And we know a lot of the startup founders, well, this might be news to you, so a lot of the startup founders, their startups might not work out and they might get jobs in tech. And so, this video's for you. And let's be clear, most people think about a successful career as how do we make money.

    7. DC

      Yes.

    8. SP

      A- and deep fulfillment, but also money.

    9. DC

      Yes.

    10. SP

      So-

    11. DC

      To paraphrase, How to Get Rich?

    12. SP

      [laughs]

    13. DC

      [laughs] Is that-

    14. SP

      If we were paraphrasing, each- [laughs]

    15. DC

      Step one. Um, what it's like to live and work in Silicon Valley for as long as I have, it's been like 30 years-

    16. SP

      Mm-hmm

    17. DC

      ... is you see waves and cycles, but one underlying truth is that there are pockets of talent-

    18. SP

      Yes

    19. DC

      ... where the smartest people are at any one time.

    20. SP

      Yes.

    21. DC

      You can kind of figure out where they are, we'll talk about how in a second, and talent is mobile.

    22. SP

      Yes.

    23. DC

      And so you'll see the talent move from company to company as the industry changes, as new technologies come out.

    24. SP

      Yes.

  2. 1:342:17

    Spotting the hot company early: the Google-on-campus example

    1. DC

      To start with, just give you some examples, you know, when I was an undergrad, um, at Stanford in, like, the late 2000s, Google was the hot new startup that was recruiting on campus.

    2. SP

      Mm-hmm.

    3. DC

      And a lot of my professors had affiliations with Google, and so I knew that Google-

    4. SP

      The talent

    5. DC

      ... was a really cool... Like, it was, it was aware to me as an undergrad that something was happening there-

    6. SP

      Yeah

    7. DC

      ... and that really smart people worked there.

    8. SP

      Really early.

    9. DC

      Yes.

    10. SP

      Pre-IPO, pre, da, da, da, yes.

    11. DC

      Definitely pre-IPO.

    12. SP

      Yes, yes.

    13. DC

      Right? And like, you know, prior generations, Sun Microsystems, like there were other-

    14. SP

      Yes, yes

    15. DC

      ... sorry to even use the term, but cracked engineers.

    16. SP

      [laughs]

    17. DC

      Like where all the cracked engineers work.

    18. SP

      Yeah.

    19. DC

      You can kinda ask around-

    20. SP

      Yes

    21. DC

      ... and people would tell you.

  3. 2:173:19

    Geography and “following the doers”: leaving the wrong pond

    1. SP

      I think from my story, I thought Yale was gonna be this deep talent pocket. Certainly a lot of smart people, but, like, probably not as differentiated as I thought when I was in high school. And then, for me, it was about moving geographically. It was about, um, finding Justin Kan and Emmett Shear, who actually were talented, and seeing how they first went to Y Combinator, a pocket of talent, and then they went to Silicon Valley, a pocket of talent. And it was interesting because I had a survey of my friends, and I can't say that this was, like, a plan, but it's, like, interesting that I followed these two people. [laughs]

    2. DC

      [laughs] And it worked out. It worked out.

    3. SP

      [laughs] It worked out. And these two people, I don't know who they were following, but they got the fuck out of Du- like, right? Like, it was like they had a nose that New Haven, Connecticut or New York or Cambridge was not where the pocket was developing. They had a nose they had to be in the Valley.

  4. 3:194:56

    The “Bob” blueprint: tracing talent through PayPal → Palantir → OpenAI

    1. DC

      I'll give you a couple other anecdotes just from even college. I remember I was friends with this guy named Bob.

    2. SP

      Okay.

    3. DC

      Bob was a good programmer.

    4. SP

      Yeah.

    5. DC

      Um, and he dated this girl that lived in my dorm, and so he was always at my dorm.

    6. SP

      Yep.

    7. DC

      And so I talked to Bob constantly. Like, I just like, I always-

    8. SP

      It's amazing

    9. DC

      ... would see Bob, and I remember Bob telling me that he got an internship when he was, like, a sophomore or junior at this tiny startup in Palo Alto called PayPal.

    10. SP

      Mm-hmm.

    11. DC

      And I was really curious, and he told me all about how actually the job was all about defending against the Russian mob.

    12. SP

      Mm, [laughs] mm-hmm, mm-hmm.

    13. DC

      Like apparently PayPal was just getting, like-

    14. SP

      Yeah. [laughs]

    15. DC

      ... destroyed by organized crime.

    16. SP

      [laughs]

    17. DC

      And he was like, "Yeah, so we're building all this, like, hardcore technology to fight, like, the Russian mob."

    18. SP

      Yes, money laundering.

    19. DC

      Yeah. [laughs]

    20. SP

      To fight money laundering.

    21. DC

      And so basically, I, I loved talking to him about his weird internship at this tiny startup called PayPal.

    22. SP

      Yeah.

    23. DC

      And he was an elite engineer and he was saying, "Oh, all the other people that work here are really good."

    24. SP

      Mm-hmm.

    25. DC

      Then Bob went to Palantir 'cause it was the same people. Then Bob, after, like, eight years at Palantir, went to OpenAI.

    26. SP

      Yeah, yeah.

    27. DC

      And most recently Bob was the chief scientist of OpenAI.

    28. SP

      [laughs]

    29. DC

      I think he created thinking models. And, like, that's my friend from the dorms.

    30. SP

      There it is.

  5. 4:566:01

    Relationship-building is part of the strategy

    1. SP

      Well, I love the point about paying attention where, where, where they go. You actually have to build relationships. Like, you got to know this Bob. I talked to this person who wanted to start a company and they said to me, "In college, the software engineers weren't cool. They weren't the people you should get to know. It wasn't obvious." And so this person was like, "I never made friends with them." And so it's like that talent pool was there. In hindsight-

    2. DC

      Yeah

    3. SP

      ... it was obvious that you should have followed them, but you never got to know them well enough to know that that was actually interesting talent pool. So you kinda not only have to be around talent, you have to engage with those people and become friends with them.

    4. DC

      Yes.

    5. SP

      Which is, I think, like, hilariously, like, I think for me it's like those are the people who are fun to be friends with.

    6. DC

      Yes.

    7. SP

      But those are often not the coolest kids.

    8. DC

      Yes. I, I-

    9. SP

      [laughs]

    10. DC

      Um, indeed. I, I, I'm gonna, I'm not gonna add anything to that. Yeah, I'll let that stand.

    11. SP

      Yes.

    12. DC

      Um-

    13. SP

      Their value accrues over time, perhaps. [laughs]

  6. 6:016:20

    You don’t have to be the smartest—just identify and listen to them

    1. DC

      And, and again, to me, the, the lesson ... is that you don't have to know everything. You don't need to even be-

    2. SP

      Yes

    3. DC

      ... the smart person to have a great career in tech. But you need to know who the smart people are-

    4. SP

      Yes

    5. DC

      ... and listen to what they say carefully.

    6. SP

      It's like the hunter follows the dog, and the dog's on the scent.

    7. DC

      Yes.

    8. SP

      Yeah. Yes.

  7. 6:206:39

    Following conviction: the Sam Altman / OpenAI example

    1. DC

      I mean, it's like, you know, we, we worked with Sam when he started OpenAI-

    2. SP

      Yeah

    3. DC

      ... and Sam was like, "X, Y, Z is gonna happen." Anyone that was like, "Okay, Sam," like, "I'll follow you," did great.

    4. SP

      Yeah.

    5. DC

      And 98% of people were like, "No, no, no, no, no, no."

    6. SP

      That's crazy.

    7. DC

      And so there's, there's often super talented people that you know are talented, that people still choose to ignore.

  8. 6:397:53

    Stop optimizing the wrong things when choosing jobs

    1. SP

      Well, let's talk about one of the reasons why people choose to ignore this, because I hear this all the time. When I, when I see some, when I walk, talk to a YC founder who's considering working at a company, or an engineer who's considering working at a company, the things that they talk about, like, frustrate me to no end. Because it's like, look, you're working at a technology company. Fundamentally, a big part of your compensation is gonna be stock, and a big part of you eventually getting rich is that stock being worth something. So, like, my first thought is, like, what is your thesis on why that stock would be worth something? That is like the last thing they talk about. They're like, "Well, here's the people that interviewed me, and like, the interview process or the recruiter I talked to and what the recruiter said," which is like, what? Does that matter? Um, "Here's like the benefits," which is like, this is not what the game, this is not how to win by maximizing your benefits. They say stuff like, "Well, this is the job I'm gonna..." Like, oh, I'm like, "This job would be more interesting versus that job." And it's like, if you're a technology company, you can move around. Your jobs change. Weird geographic stuff. Like, "Oh, I wanna be close to my friends, and they all are into New York, so I wanna go to New York."

    2. DC

      Yeah. Ugh.

    3. SP

      And it's like, I mean, if you don't wanna win, then, then fine. [laughs]

    4. DC

      Fine. [laughs]

  9. 7:539:14

    Think like an investor: underwrite the stock with real business signals

    1. SP

      Do whatever you want. [laughs] Like, if you wanna win, there might be some trade-offs. And, and the mentality I always give people is like, look, like, think about how hard investors work to figure out which companies to invest in, and they get to hedge.

    2. DC

      Yeah.

    3. SP

      You don't get to hedge your time. You can only work with one company at a time. Perhaps in addition to those kind of lifestyle things, you should be asking yourself the question, what is your thesis on why this stock might be worth more money? And the questions that come out, I think, are so much more interesting.

    4. DC

      Yep.

    5. SP

      You know? Like, are people using the product? To your point about talent, am I ridiculously impressed with the engineers they have talking to me? Is the revenue growing?

    6. DC

      Yep.

    7. SP

      And like, I'll see people with like these weird things. It's like, "Oh, here's their valuation." And it's like, fine.

    8. DC

      Yep.

    9. SP

      But like, can you underwrite that valuation? Do you actually understand what's going on in the business? The other thing that's so funny is that good founders wanna share this information. "Oh, w- we've got great customer retention." Of course you wanna tell people that. Bad founders, when you start asking these questions, they're gonna be like, "This, oh, that's private," or da-da-da, you know, weird shit, you know? And you're like, "Oh, really? Like, the selling point, the, what otherwise would be the selling point is private?" That's a hit.

    10. DC

      Yeah. The way I'd summarize what you're saying is you gotta think like an investor, and are you long or short-

    11. SP

      Yes

  10. 9:1410:01

    When to leave: avoiding staying too long without becoming a job-hopper

    1. DC

      ... the place? And maybe one other nuance here. I don't know if we have the absolute answer here, but people that are great at having a career in tech know when to leave.

    2. SP

      Yes. Yes.

    3. DC

      There's a lot of folks that stay too long.

    4. SP

      Yes.

    5. DC

      And we're not saying-

    6. SP

      Gotcha

    7. DC

      ... leave after nine months-

    8. SP

      Yeah

    9. DC

      ... or, you know, we're, we're not saying be a short-termer. That's bad.

    10. SP

      No, no.

    11. DC

      But like, like our Bob example, Bob changed jobs a small number of times, but they were all pretty good.

    12. SP

      Yeah.

    13. DC

      And there's a lot of people that went from Google to Facebook to OpenAI.

    14. SP

      Yeah.

    15. DC

      They didn't stay in any one place that long. And so-

    16. SP

      Yes

    17. DC

      ... job hopping, bad. But choosing to move on after, what, three to five years, something like that-

    18. SP

      Yeah

    19. DC

      ... not the worst idea sometimes.

  11. 10:0111:10

    Exceptions and variants: lifer cultures, team moves, and big-company pockets

    1. SP

      Well, and, and I don't even think it has to be time-based, right? If you want to be in deep density pockets, and every day you're re-underwriting, there's awesome people there I get to work with, I think there's a way to work at Google for 25 years and be in deep density pockets. But I think that's not-

    2. DC

      That's true. And like Apple, Apple's such a weird beast.

    3. SP

      Yeah.

    4. DC

      Everyone there's a lifer. Like, Apple's just such a strange culture-

    5. SP

      Yeah

    6. DC

      ... where I don't think people, I think you just go there and you stay at Apple forever.

    7. SP

      It is rare that you get to build the phone that most of the, like, people u-

    8. DC

      [laughs]

    9. SP

      Right? Like it's like-

    10. DC

      Yeah

    11. SP

      ... it's like how, how often do you get to do that? And it's rare that that consumer product is so consistently the best product for-

    12. DC

      Yep

    13. SP

      ... a decade. So I'll say like m- w- whether you're jumping around between companies, between teams, and this is applies to startups, it applies to big companies, too. Like, I had a friend who just moved from Facebook over to Google because Google's AI products are doing really well, and they were able to get a job inside of Google Brain. And it's like-

    14. DC

      Yep

    15. SP

      ... that's very interesting. So this doesn't require even touching into the software p- I mean, into the startup pool. But, um, it does also sometimes require you to sacrifice that salary.

    16. DC

      Yes.

  12. 11:1012:11

    Equity over vanity: don’t optimize titles in a failing company

    1. SP

      And I think maybe that's what I wanna end on, is that like you get rich with the equity.

    2. DC

      Yes.

    3. SP

      That's where you're getting rich.

    4. DC

      Yeah. The problem people have is they have vanity and titles and number of reports and all this crap.

    5. SP

      Yeah.

    6. DC

      You get caught up of like leveling up your character. Like, I got promoted to L62-

    7. SP

      Yes

    8. DC

      ... and like, you know.

    9. SP

      Yes. In the company that's failing.

    10. DC

      Yeah.

    11. SP

      [laughs]

    12. DC

      You, you basically start optimizing for these weird local inside baseball things.

    13. SP

      Yes.

    14. DC

      And that's a trap, I guess is what we're trying to say.

    15. SP

      Super big trap. If you have to consistently underwrite your stock every year, and you have to consistently ask yourself, "What's my thesis why this stock will be worth four or five, 10, 100 times more?" You're gonna get a clear view. All right?

    16. DC

      All right.

    17. SP

      Thanks, Michael.

    18. DC

      Cheers. [upbeat music]

Episode duration: 12:11

Install uListen for AI-powered chat & search across the full episode — Get Full Transcript

Transcript of episode Y82uJK6NVic

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.