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Sometimes we would downlevel them
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significantly.
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>> This is Austin McDonald. [music] He was
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a meta hiring committee member and led
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mobile hiring across the company. And I
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asked them to share what happens behind
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the scenes.
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>> But I have seen cases where referrals
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[music] play, you know, a huge role.
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>> What does that rubric look like?
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>> We would not be able to hire someone at
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a staff level [music] unless we had
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provided two system designs.
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>> We covered how to avoid down leveling at
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senior levels. [music]
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You mentioned there's an initial
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leveling determination. There are
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certain conversations you should be very
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careful about
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>> and how to prep for specific companies
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[music] like OpenAI and Enthropic. I'd
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be curious to hear what you see in their
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values to help people who are looking to
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get hired at these companies.
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>> At Anthropic, they're known for
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assessing [music] whether or not you are
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>> What if you had some really unethical
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candidate?
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>> You know, we can talk about lying right
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now. If you can do that successfully,
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>> here's the full episode.
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Behavioral interviews are kind of one of
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the most common signals in hiring
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committees that down levels candidates.
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And so, and I think this is especially
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important for senior engineers and hire.
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And so, today I want to cover all of the
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common mistakes people make, how to
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prevent from getting down, and also I'd
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like to go over some company specific
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tips for people who want to work at hot
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companies like OpenAI and Anthropic. So,
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you know, I'm hoping that with your
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experience working on recruiting,
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leading iOS and Android recruiting um
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across Meta and after having conducted
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hundreds of interviews, I'm hoping you
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can kind of give us some of the behind
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the scenes in these hiring committees so
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we can learn about how to do better in
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our behavioral interviews.
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>> Oh, yeah. And behavioral interviews is
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my favorite thing to talk about. So, I'm
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excited to be here.
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>> What actually goes on in the hiring
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committees? Uh the first thing I would
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say is like when I would get a packet in
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front of the hiring committee and it was
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a senior packet the first thing I would
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do is go to the behavioral interview I
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would want to understand what is the
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scope that this engineer has operated at
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in the past what's their level of
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influence what's their level of insight
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what's their level of communication
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what's the level of organization that
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they've operated in that would be the
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first thing I did and these committees
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are built of other engineers they're
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built of other engineering managers who
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are influential in the company they're
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recruited by someone like me the the
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hiring committee chair and their job is
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to partner with recruiting to understand
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whether or not this engineer should be
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hired, hire an OIR decision, but also a
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leveling decision. And then they send
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that that up to a sort of companywide uh
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committee of people who honestly most of
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the time what they do is just sort of a
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gut check on on a sort of a cross uh you
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know cross company hiring bar.
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>> So I'd love to learn more about the the
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back end of the recruiting. So, let's
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say I'm a staff candidate and I'm going
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to go get hired at Meta. Who are all the
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people involved? What do they care about
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and how do they contribute to the hiring
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process? Yeah, great question. So, the
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first person you typically engage with
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is somebody called a sorcerer. This is
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someone who is responsible for finding
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potential candidates. Oftentimes,
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they're more a junior on the recruiting
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side, more this is an entry- level um
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job for a recruiter. Their job is to co-
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contact you or maybe to process uh
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referrals. this sort of first touch
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point. They're looking at some kind of
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job description. They're looking at your
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years of experience. That's probably the
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biggest thing. They're assessing your
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past companies, your past uh whatever
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they can find about your past
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experience, looking through the referral
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that they look at and seeing whether or
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not they want to pass you through to
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some kind of phone screen process.
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Right? So, this is the part where you
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see it as a as an engineer. Some
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sometimes this phone screen is is a
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technical one where they're going to be
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giving you some kind of uh you know
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coding interview, right? That's really
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common. It could even be a sort of a pre
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uh you know pre uh phone screen
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conversation where they're asking you
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sometimes we would give out multiple
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choice questions for engineers like oh
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tell me about this part of iOS or tell
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this part of Android and then you'd have
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to be able to answer those questions
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just as a sort of a like a a pre-f
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filter right to make sure that we're
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doing phone screens in an efficient way.
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Of course once your phone screen happens
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it goes to a uh to back to the hiring
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committee actually unless it's a very
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solid hire. If it's a very solid hire on
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the phone screen side, you get passed
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directly onto the scheduling for an
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on-site interview. But if it's kind of
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on the border, then we would review it
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as a hiring committee. We would look for
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signals, all the signals that that
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people talk about in coding interviews,
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communication and problem solving and
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all those things. And we would see uh
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whether or not it would be worth to to
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to a follow-up interview or we should
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just pass on this person on through to
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the uh to the to the rest of the of the
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hiring process to on-site or if we
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should maybe uh you know pass on that
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person overall and just maybe come back
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to them uh some other time. So that
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would be the first time the hiring
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committee is involved in in a hiring
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decision. After that um sometimes the
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hiring committee would be consulted when
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there is a certain kind of candidate has
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specialized experience. So for for
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example, if you were like a very
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low-level u mobile engineer doing uh
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like C++ work for example on the mobile
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side, we would want to make sure that
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you were giving you an appropriate
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system design interview that really
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assesses you for your specific skills.
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So then we would also uh typically be
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consulted at times when there's a a a
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choice of whether or not this person is
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a is a staff level engineer or a senior
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engineer. Often times that's the place
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in companies where the hiring process
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starts to change. So for example at meta
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specifically staff level engineers would
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have two system design interviews and so
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they we would not be able to hire
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someone at a staff level unless we had
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provided two system designs. So that
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sort of decision about how to structure
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the loop starts uh starts starts there
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at that that onscreen on-site um
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scheduling um point in the in the hiring
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process. Um and then of course if you as
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you go up as you go up to principal or
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as you go up to distinguish engineer
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those hiring um processes are very
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different and they add additional
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behavioral interviews. That's what they
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add. So we can talk about that at some
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point. That's how they assessing whether
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or not someone is a principal engineer
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or distinguished engineer. Um, and then
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after you go through the on-site
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experience, then it comes back to us as
[05:49] (349.20s)
a hiring committee and we make a
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decision. Do we hire you at what level
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do we uh do we add any additional uh
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follow-up interviews? Maybe when the
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interview didn't go very well, maybe an
[05:58] (358.88s)
interviewer, maybe you flubbed it and we
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want to give you another chance. Maybe
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we uh maybe the interviewer didn't do a
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very good job acquiring signal. Um, and
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that happens a lot actually in the
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behavioral interview. So, the behavior
[06:07] (367.84s)
interview is one of the hardest ones to
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to give and one of the hardest ones to
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interpret. So oftentimes we would do
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follow-ups on on behavioral interviews
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if we didn't get the right signal and
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then after that it it at least at Meta
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it would go to a committee of
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engineering directors and they would
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make the final hiring and leveling uh
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decision. Sometimes u members of the
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hiring committee would accompany the
[06:25] (385.84s)
recruiter to that conversation with u
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the engineering directors and advocate
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for our decision as a as a hiring
[06:32] (392.56s)
committee. So possibly we're deciding to
[06:34] (394.32s)
take a chance on somebody. Maybe this
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aspect of their packet is weak but we're
[06:37] (397.84s)
really excited about that. We think that
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the company would really benefit from
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having engineers who have whatever that
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specific trait is, this problem solving
[06:43] (403.44s)
piece or this technical skill or this um
[06:45] (405.52s)
organizational influence skill that
[06:46] (406.96s)
they've demonstrated in the in the in
[06:48] (408.56s)
their onsites and we would need to go
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and advocate for that before the
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engineering director. So that would be
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um that would be the the process for a
[06:55] (415.84s)
uh you know for an engineer from start
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to finish. At the beginning, you said
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there's that low-level recruiter that
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makes some gut reaction. And just to
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understand, because the leveling
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decision is the thing I'm most curious
[07:08] (428.16s)
about, the way that they would judge the
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level of the person to kind of enter the
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funnel is mostly based off years of
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experience. Is that right?
[07:17] (437.36s)
>> Years of experience and previous uh
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title. So, if you were a staff engineer
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at Google, then they'll probably try to
[07:23] (443.76s)
bring you in staff engineer here at at
[07:25] (445.52s)
Meta. Now a lot of companies like Meta
[07:27] (447.60s)
uh don't have public levels. So it can
[07:29] (449.92s)
be difficult to see um just from
[07:31] (451.68s)
someone's LinkedIn what level they are.
[07:33] (453.12s)
So that's why they rely so much on years
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of experience.
[07:36] (456.24s)
>> A lot of people their their companies um
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let's say it might be someone outside of
[07:41] (461.84s)
Fang who has many years of experience
[07:44] (464.24s)
and their title is um extremely high.
[07:47] (467.84s)
Let's say they're
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>> principal. They work in finance and
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they're vice president. [laughter]
[07:51] (471.84s)
>> Yes. Yes. Exactly. Vice president vice
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president like four years. Um yeah yeah
[07:55] (475.52s)
yeah [laughter]
[07:56] (476.72s)
but like let's say it's it's someone you
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know principal architect at some uh
[08:02] (482.32s)
non-Fang company for instance what's
[08:04] (484.72s)
that recruiter going to set them at and
[08:06] (486.48s)
how do they get leveled when you're not
[08:08] (488.16s)
in fang coming into fang
[08:10] (490.08s)
>> so sourcers understand this and
[08:11] (491.44s)
recruiters understand that there is
[08:12] (492.64s)
level inflation in different parts of
[08:14] (494.16s)
the industry and so we would take
[08:15] (495.76s)
somebody um you know at who worked at um
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even sometimes big tech companies but
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non uh non-fang companies like maybe
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companies that are that are more
[08:23] (503.28s)
oriented towards business, we would take
[08:25] (505.12s)
them and and and download them
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significantly. So, they would be they
[08:28] (508.40s)
would even be supporting maybe um 10 or
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15 20 people as a manager, maybe even
[08:33] (513.12s)
more, maybe 50 or 50 or 75 people as a
[08:35] (515.44s)
manager. And sometimes we would
[08:36] (516.72s)
downlevel them and just give them a team
[08:38] (518.56s)
of eight or 10 fang engineers right at
[08:40] (520.96s)
at Meta. And likewise for for for IC's.
[08:44] (524.32s)
So, um it's not just that if you put on
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LinkedIn, I'm a principal engineer, you
[08:48] (528.00s)
can suddenly get principal engineering
[08:50] (530.16s)
sorcerers reaching out to you. uh they
[08:52] (532.00s)
understand that that um different
[08:53] (533.52s)
companies have different expectations
[08:54] (534.80s)
for for their levels and maybe there's
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some world which we would like to live
[08:58] (538.08s)
in that this is all consistent but um
[09:00] (540.32s)
it's not that's not the world that we
[09:01] (541.92s)
live in. Just out of curiosity, what if
[09:05] (545.60s)
you had some really unethical candidate
[09:08] (548.24s)
who they were they worked at Google, but
[09:11] (551.36s)
let's say they uh in reality they were
[09:14] (554.40s)
only a senior engineer or something
[09:16] (556.00s)
wherever they were, but they had the
[09:18] (558.32s)
years of experience where it'd be
[09:20] (560.00s)
believable that they could be maybe a
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senior staff engineer or something like
[09:24] (564.24s)
that and that was listed on their
[09:27] (567.28s)
resume. What would happen if someone did
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that? And I imagine that first hop would
[09:31] (571.92s)
go to senior staff. What what then
[09:34] (574.48s)
happens that prevents that from working?
[09:37] (577.12s)
>> Yeah. So the for example the um first
[09:41] (581.28s)
phone screen with an engineer that you
[09:43] (583.44s)
have for a staff level engineer or above
[09:45] (585.68s)
is usually some kind of uh not just a
[09:48] (588.56s)
simple coding exercise like you would
[09:50] (590.08s)
for a mid-level or a senior engineer,
[09:51] (591.84s)
but it is also sort of scope check.
[09:53] (593.76s)
there's a a mixture of coding, system
[09:56] (596.00s)
design, oftentimes a conversation with
[09:57] (597.92s)
you about your past experience where you
[09:59] (599.44s)
walk yourself where you they walk you
[10:00] (600.96s)
where the candidate needs to walk the
[10:02] (602.32s)
interviewer through some large project
[10:04] (604.16s)
that they shipped. Now, um so that's the
[10:06] (606.32s)
first the first sort of check. Can you
[10:08] (608.40s)
pass a sort of system design
[10:09] (609.76s)
conversation at a high level such that
[10:11] (611.92s)
we would pass you through for the the
[10:13] (613.44s)
on-site the real system design interview
[10:15] (615.04s)
and then can you tell me a story which
[10:16] (616.56s)
is of sufficient scope of what you've
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executed. Now, you know, we can talk
[10:19] (619.52s)
about lying, right? There are some
[10:21] (621.20s)
really famous liars in the world. We
[10:22] (622.72s)
call them actors. So, but I will tell
[10:24] (624.96s)
you that that Los Angeles's restaurants
[10:27] (627.76s)
are filled with uh people who are trying
[10:30] (630.80s)
to get into the lying business, right?
[10:32] (632.48s)
And they can tell you how difficult it
[10:33] (633.76s)
is to be an actor. So, yes, I do think
[10:35] (635.92s)
you can maybe you could come up with a
[10:37] (637.44s)
story, right? And you maybe you can use
[10:38] (638.64s)
AI to tell you, oh, let me tell you
[10:40] (640.48s)
about this like companywide project that
[10:42] (642.48s)
I shipped at at Google. It is pretty
[10:44] (644.88s)
challenging to lie in a convincing way.
[10:46] (646.64s)
We as as you know, people, we have this
[10:49] (649.04s)
sense of of is this person really
[10:50] (650.64s)
telling me the truth? And then there's
[10:51] (651.84s)
always the follow-up questions. And I've
[10:53] (653.20s)
I've experienced this in my coaching
[10:54] (654.72s)
coaching job where I can tell someone's
[10:56] (656.80s)
telling me a story that they have gotten
[10:58] (658.96s)
from an AI because I start to ask them
[11:00] (660.96s)
these follow-up questions, especially
[11:02] (662.48s)
about technology and then they start to
[11:04] (664.64s)
give me these kind of vague answers or
[11:07] (667.04s)
they really don't the answers don't sort
[11:08] (668.96s)
of don't fit together and then I get the
[11:10] (670.32s)
sense of like this person's just not
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telling me the truth. I am I am I
[11:13] (673.92s)
foolable? Like yes, everybody's
[11:15] (675.60s)
foolable. If you're a good enough liar,
[11:17] (677.28s)
yeah, you can you can make this happen
[11:18] (678.80s)
for sure. But I think it's actually much
[11:20] (680.48s)
harder to lie than most people expect it
[11:23] (683.04s)
to be. And so that's the first that's
[11:24] (684.80s)
the first step. And then um after that
[11:26] (686.80s)
you have this this barrage of on-site
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interviewers interviews with highly
[11:30] (690.72s)
calibrated people. So when we put
[11:32] (692.40s)
interviewers for staff level or for or
[11:34] (694.88s)
principal level engineers, we send very
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senior people to those people who have
[11:39] (699.04s)
been in the industry for very long time
[11:40] (700.80s)
who have interviewed a very lot a lot of
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people. they are highly calibrated and
[11:44] (704.08s)
yes you will have to like lie repeatedly
[11:45] (705.76s)
to these people and in a convincing way
[11:47] (707.60s)
in order to get all the way through. Now
[11:49] (709.20s)
if you can do that successfully
[11:52] (712.24s)
I don't know maybe you are good enough
[11:53] (713.60s)
to be a staff engineer or principal
[11:55] (715.28s)
engineer you know maybe you'll be fine
[11:57] (717.23s)
[laughter]
[11:57] (717.92s)
um and and then we'll hire you right and
[11:59] (719.68s)
then uh then the question is can you
[12:01] (721.52s)
meet expectations at that level um I I
[12:04] (724.32s)
do not have stories about people that we
[12:08] (728.16s)
hire that we just we thought was totally
[12:10] (730.56s)
lying to us. Um even though I've hired
[12:12] (732.40s)
thousands of people I I have not heard
[12:14] (734.48s)
that story. Um, I think it's much more
[12:17] (737.12s)
difficult than people expect it to be.
[12:19] (739.36s)
>> In theory, if someone was a a
[12:21] (741.60s)
generational liar, they they could they
[12:25] (745.20s)
could do this. It's just a lot harder
[12:27] (747.28s)
than people think. Okay. Cuz yeah, I
[12:29] (749.44s)
think that's that's on a high level when
[12:32] (752.56s)
maybe it's just an engineering mindset.
[12:34] (754.32s)
When I'm coming in and I'm thinking
[12:36] (756.00s)
about interview prep, my my first
[12:38] (758.16s)
thought is, okay, I got to be good at
[12:40] (760.16s)
the technical, but the behavioral, I can
[12:43] (763.20s)
kind of I can kind of wing it. You know,
[12:45] (765.44s)
I can tell some stories. It's a little
[12:47] (767.12s)
bit of a softer thing.
[12:48] (768.64s)
>> It's about me, right? Just be yourself.
[12:50] (770.80s)
>> Yeah, [laughter]
[12:52] (772.08s)
I think that's a a a thing that a lot of
[12:54] (774.88s)
people get wrong that gets them down. So
[12:57] (777.04s)
that's why I'm kind of so curious to go
[12:59] (779.12s)
through what what is it in the
[13:01] (781.36s)
behavioral interviews that leads to the
[13:03] (783.36s)
leveling determination. So um you
[13:05] (785.68s)
mentioned there's an initial leveling
[13:07] (787.20s)
determination um kind of a a gut call by
[13:11] (791.28s)
the first hop in the in the layer and
[13:13] (793.52s)
then at some point you're placed into
[13:15] (795.12s)
sounds like a range you you mentioned in
[13:17] (797.12s)
one case
[13:17] (797.76s)
>> exactly
[13:18] (798.40s)
>> there's a they're trying to figure it
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out and so then you're maybe staff maybe
[13:22] (802.16s)
senior and they give you another loop.
[13:24] (804.32s)
What do you need to do? um such that you
[13:27] (807.68s)
are placed in staff if that were your
[13:30] (810.08s)
>> The most one of the most important
[13:31] (811.12s)
things when you're choosing any kind of
[13:32] (812.72s)
story to tell in a behavioral interview
[13:34] (814.08s)
or when you're having a conversation
[13:35] (815.52s)
with a recruiter, which is also kind of
[13:37] (817.04s)
like a behavioral interview, is to
[13:38] (818.56s)
ensure that you're establishing yourself
[13:40] (820.72s)
as a certain scope and that scope is
[13:43] (823.04s)
about what size business problems have I
[13:45] (825.36s)
solved with technology and what level of
[13:46] (826.96s)
ambiguity and what level of
[13:48] (828.24s)
organizations have I have I operated
[13:49] (829.92s)
within and what have I been able to
[13:51] (831.28s)
accomplish in in that operation. So when
[13:53] (833.44s)
you're having a conversation with a
[13:54] (834.40s)
recruiter and you're talking about your
[13:55] (835.68s)
past experience, you have got to land in
[13:57] (837.76s)
that first tell them about yourself kind
[13:59] (839.20s)
of thing like oh hey who are you tell
[14:00] (840.80s)
what you've been up to. That
[14:01] (841.92s)
conversation is super critical and
[14:03] (843.60s)
people think about it from an
[14:04] (844.48s)
interviewing perspective but it starts
[14:05] (845.84s)
there in that conversation with the
[14:07] (847.12s)
recruiter. And so you have to come in
[14:09] (849.36s)
and say I have demonstrated and
[14:11] (851.44s)
delivered large business value with with
[14:14] (854.00s)
technology. And it's kind of like the
[14:15] (855.44s)
greatest hits from your resume, right?
[14:16] (856.72s)
People always tell you have uh you know
[14:18] (858.56s)
measurable impact and and and and
[14:20] (860.56s)
results that's that's present on your
[14:21] (861.84s)
resume. that's that's u using some kind
[14:23] (863.76s)
of metrics, right? That's super
[14:24] (864.80s)
important. It's also to convey a sense
[14:26] (866.72s)
of depth, right? A sense of complexity.
[14:28] (868.80s)
You could say something like, well, you
[14:30] (870.00s)
know, I improved performance in the
[14:31] (871.04s)
Facebook app. And then people say like,
[14:32] (872.48s)
okay, that doesn't sound super hard. But
[14:33] (873.92s)
if you said something like, well, you
[14:35] (875.60s)
know, I organized across 100 engineers,
[14:38] (878.64s)
this entire organization to spend a
[14:40] (880.24s)
12-month performance improvement project
[14:42] (882.48s)
that ran into multiple very difficult
[14:44] (884.96s)
uh, you know, technical issues that
[14:46] (886.56s)
required multiple staff level engineers
[14:48] (888.64s)
in order to solve many months of
[14:50] (890.40s)
investigation and experimentation and
[14:52] (892.48s)
then we came out with these like three
[14:53] (893.84s)
core principles and then we then we you
[14:56] (896.64s)
know we we ship this to performance
[14:57] (897.92s)
improvement. So I think when you start
[14:59] (899.36s)
talking about the complexity of the
[15:00] (900.64s)
work, you need to communicate the
[15:02] (902.08s)
technical depth, you need to communicate
[15:03] (903.36s)
the organizational depth, you need to
[15:04] (904.80s)
communicate the business value and the
[15:06] (906.32s)
business impact that you delivered and
[15:08] (908.00s)
those are the things that the recruiter
[15:09] (909.12s)
is listening for and and and likewise
[15:10] (910.80s)
everybody in the process is listening
[15:11] (911.68s)
for that. All the interviewers are
[15:12] (912.72s)
listening for the same thing. So getting
[15:14] (914.08s)
really crisp and practicing that that
[15:16] (916.48s)
tell me about yourself piece is is is
[15:18] (918.56s)
the first place where you can ensure
[15:20] (920.08s)
that you're getting into the right
[15:21] (921.68s)
leveling bucket. I I noticed there's a
[15:24] (924.16s)
lot of um correlation between what
[15:26] (926.32s)
you're talking about and also promotions
[15:28] (928.96s)
as well. For instance, when you're
[15:30] (930.80s)
talking about promotional behaviors for
[15:32] (932.48s)
staff, your projects don't just want to
[15:34] (934.88s)
be, hey, I shipped this thing and is
[15:37] (937.28s)
good for my team. You want to be doing
[15:39] (939.20s)
things that are across the org and
[15:41] (941.92s)
larger and complicated and challenging.
[15:45] (945.52s)
So, are you saying that those are pretty
[15:47] (947.68s)
similar? And
[15:49] (949.04s)
>> Oh, yeah. Oh, yeah. In fact, preparing
[15:50] (950.96s)
for behavioral interviews will actually
[15:52] (952.40s)
make you a better engineer. And I think
[15:54] (954.00s)
being a great engineer is how being a
[15:56] (956.64s)
great communicator especially about your
[15:58] (958.16s)
impact is the thing that you need to do
[15:59] (959.76s)
is to be a great behavioral interview.
[16:01] (961.36s)
So yes, for sure you need to be able to
[16:03] (963.76s)
um quantify your impact, communicate it
[16:05] (965.68s)
efficiently, communicate effectively and
[16:08] (968.00s)
honestly we're talking about lying
[16:09] (969.36s)
earlier and and trying to keep people
[16:11] (971.04s)
from lying. But most of my my clients,
[16:12] (972.96s)
most of the people I talk to in my
[16:14] (974.40s)
coaching business, they they have a
[16:15] (975.84s)
problem not telling enough of the truth.
[16:17] (977.44s)
like not telling in they're not not
[16:19] (979.28s)
boosting themselves enough, not telling
[16:20] (980.72s)
talking to me enough about the
[16:22] (982.00s)
accomplish accomplishments that they
[16:23] (983.60s)
that they've done. So to me, that's the
[16:25] (985.52s)
thing that most people need help with.
[16:27] (987.04s)
They need to they need help showcasing
[16:29] (989.12s)
how difficult the problem was. They need
[16:30] (990.72s)
to show help showcasing what kind of
[16:32] (992.40s)
impact they made, not just on whatever
[16:34] (994.32s)
topline business metric it was, but also
[16:36] (996.48s)
what kind of impact did it have on the
[16:37] (997.68s)
team, what kind of impact did it have on
[16:38] (998.88s)
on code quality, what kind of impact did
[16:40] (1000.32s)
it have, you know, long term in the
[16:41] (1001.92s)
organization that they were they were
[16:43] (1003.20s)
operating within. So for me, think about
[16:45] (1005.60s)
if you're, you know, I'm coaching
[16:46] (1006.56s)
engineers to do this. I spend a lot of
[16:48] (1008.24s)
time thinking about um, you know, what
[16:50] (1010.16s)
are all the implications of the work
[16:51] (1011.52s)
that you've done and then how can you be
[16:53] (1013.28s)
really crisp about having that
[16:54] (1014.64s)
conversation because the the flip side
[16:56] (1016.00s)
of that is like, well, if I want to talk
[16:57] (1017.28s)
about all the things I've done, then it
[16:58] (1018.32s)
takes a really long time. So that's why
[16:59] (1019.68s)
it takes some some some preparation, but
[17:01] (1021.36s)
certainly getting really good at
[17:03] (1023.20s)
behavioral interviews, communicating,
[17:05] (1025.04s)
telling stories, for example, telling
[17:06] (1026.64s)
stories about what you've done. You do
[17:08] (1028.00s)
that all the time. You do that to your
[17:09] (1029.04s)
manager every week in a one-on-one. You
[17:10] (1030.32s)
do that to the executive whenever you're
[17:11] (1031.68s)
presenting your results. And that's a
[17:13] (1033.20s)
super important skill to learn as a
[17:14] (1034.88s)
senior engineer
[17:16] (1036.48s)
>> in the interview process. It sounds like
[17:19] (1039.36s)
at every point whether you think you are
[17:22] (1042.24s)
or not, you're actually being assessed.
[17:25] (1045.52s)
What I mean is usually that first call,
[17:27] (1047.28s)
at least from my recollection, it was
[17:29] (1049.76s)
pitched to me as, hey, this is a little
[17:31] (1051.84s)
chat you don't need to prepare for. Just
[17:33] (1053.44s)
go ahead and, you know, come and talk to
[17:35] (1055.44s)
me. I'm just the recruiter. But
[17:37] (1057.12s)
actually, that call is, hey, talk to me.
[17:40] (1060.80s)
I'm trying to figure out what level you
[17:42] (1062.24s)
are so I can place you in the right loop
[17:44] (1064.40s)
and even see if you're worth talking to
[17:46] (1066.32s)
for follow-up. So, am I understanding
[17:48] (1068.80s)
that people should just sell themselves
[17:51] (1071.36s)
at every single minute of this
[17:53] (1073.04s)
recruiting process? [laughter]
[17:55] (1075.20s)
>> Yeah, always be closing for sure.
[17:57] (1077.20s)
Definitely this first call is an
[17:59] (1079.04s)
evaluating call. I They are interested
[18:01] (1081.36s)
in you, right? Usually they they've they
[18:03] (1083.36s)
may have contacted you or they have you
[18:05] (1085.12s)
applied and they're contacting you. So,
[18:06] (1086.40s)
it is a softer kind of evaluation. You
[18:08] (1088.96s)
shouldn't be super nervous about it.
[18:10] (1090.32s)
They are your they are your your buddy.
[18:11] (1091.76s)
They are your partner. Let's remember
[18:12] (1092.80s)
that especially at a big company. These
[18:14] (1094.80s)
sourcers and recruiters are incentivized
[18:16] (1096.40s)
by how many hires they can deliver. So
[18:18] (1098.72s)
no, they're not your friend, right?
[18:20] (1100.48s)
There are certain certain conversations
[18:22] (1102.88s)
you should be careful about, especially
[18:24] (1104.56s)
about compensation with these folks, but
[18:26] (1106.72s)
they are advocating for you. It it is
[18:28] (1108.80s)
actually benefits them to find some a
[18:30] (1110.64s)
great candidate and be able to get them
[18:31] (1111.76s)
all the way through the process. That is
[18:32] (1112.96s)
in their best interest. So um it is a uh
[18:36] (1116.00s)
you know it is not a confrontational
[18:37] (1117.20s)
experience you need to prepare for but
[18:38] (1118.72s)
yes it is evaluative like you should not
[18:40] (1120.56s)
just show up to that phone call um dis
[18:44] (1124.80s)
emotionally disconnected or unprepared
[18:46] (1126.96s)
to talk about your past experience you
[18:48] (1128.80s)
and if you're if you are like that then
[18:50] (1130.32s)
I would delay the call so reschedule the
[18:52] (1132.72s)
call spend a little bit of time uh
[18:54] (1134.72s)
preparing what you will say to the
[18:56] (1136.32s)
recruiter so that they get an accurate
[18:57] (1137.84s)
sense of the kind of impact that you've
[18:59] (1139.76s)
delivered and that's going to be your
[19:00] (1140.80s)
best bet at getting that that higher
[19:02] (1142.48s)
level offer. I've had experiences where
[19:05] (1145.60s)
I got through everything and at some
[19:08] (1148.40s)
point they said, "Congrats, you've got
[19:11] (1151.04s)
the offer. It's verbal, but you have an
[19:13] (1153.20s)
offer now. So, you know, congrats. We
[19:16] (1156.00s)
just want you to talk to the hiring
[19:17] (1157.44s)
manager just one last time just and this
[19:20] (1160.88s)
is for you. They want to tell you about
[19:23] (1163.04s)
the company this and that usually."
[19:25] (1165.04s)
>> Right. Right. Right.
[19:25] (1165.76s)
>> Is that also a case where the hiring
[19:27] (1167.84s)
manager is trying to get signal on you?
[19:30] (1170.32s)
>> Oh, of course. Of course. I mean, the
[19:32] (1172.64s)
same exact things apply. So, yes, it's a
[19:34] (1174.48s)
little bit lower pressure than say the
[19:36] (1176.16s)
behavioral interview or the coding
[19:37] (1177.68s)
interview in the middle of the process,
[19:39] (1179.20s)
but definitely when you're having this
[19:40] (1180.24s)
hiring manager chat or at a place like
[19:42] (1182.24s)
Meta or Google, they have a team
[19:43] (1183.52s)
matching phase, right? Where where
[19:45] (1185.20s)
you're having conversations with
[19:46] (1186.40s)
multiple managers and they're trying to
[19:48] (1188.40s)
find a fit. For sure, you know, that
[19:50] (1190.24s)
conversation is super important for you
[19:52] (1192.16s)
to have a buttoned up introduction of
[19:54] (1194.64s)
yourself, a tell me about yourself. I do
[19:56] (1196.64s)
think that that one is a little bit more
[19:58] (1198.08s)
social. So in a in an interview setting,
[20:00] (1200.40s)
the interviewer has a set of questions.
[20:02] (1202.48s)
They want to go through the questions,
[20:03] (1203.60s)
right? So the longer you spend
[20:04] (1204.72s)
introducing yourself, the you're
[20:06] (1206.64s)
actually hurting your time management
[20:08] (1208.00s)
there. You're you're you're preventing
[20:09] (1209.44s)
them from collecting other signal about
[20:11] (1211.04s)
you. However, I think this this this
[20:12] (1212.96s)
hiring manager conversation, uh it is
[20:15] (1215.52s)
more of a like, do I want to work with
[20:17] (1217.04s)
this person, right? Do I do I want to
[20:18] (1218.96s)
hang out with this person? So you do
[20:20] (1220.48s)
need a little bit more of a of a loose
[20:22] (1222.40s)
social engagement, especially in those
[20:24] (1224.24s)
early that kind of early phase of the of
[20:26] (1226.24s)
the of the conversation. and hey you
[20:27] (1227.52s)
know how's it going weather you know
[20:29] (1229.20s)
sports tell me something right I think
[20:30] (1230.64s)
that that connecting with the manager on
[20:32] (1232.48s)
whatever is important to them is really
[20:34] (1234.16s)
is really key for that that uh interview
[20:36] (1236.16s)
but certainly it is not just a a
[20:38] (1238.24s)
formality or it is not purely for you it
[20:41] (1241.04s)
is certainly the case that the hiring
[20:42] (1242.48s)
manager wants to see do I want this
[20:43] (1243.84s)
person on my team and they need to come
[20:45] (1245.36s)
out of that conversation with a couple
[20:46] (1246.88s)
things you know one is do I like this
[20:48] (1248.56s)
person do I think they'll be successful
[20:49] (1249.76s)
in the team will they fit the team
[20:51] (1251.20s)
culture um will I you know will I as a
[20:53] (1253.52s)
manager benefit from bringing this
[20:54] (1254.64s)
person onto my team and then they need
[20:56] (1256.16s)
to come out with the sense that you can
[20:57] (1257.44s)
deliver and solve problems that are
[20:58] (1258.80s)
similar to the problems that they have.
[21:00] (1260.16s)
So, it's so important for you to do as
[21:01] (1261.68s)
much research with the recruiter and
[21:03] (1263.12s)
sourcer uh in advance if you're going to
[21:04] (1264.88s)
have this conversation. Understand what
[21:06] (1266.24s)
this manager values, understand what
[21:07] (1267.60s)
their team is working on, and then be
[21:08] (1268.80s)
able to tell your stories in a way that
[21:10] (1270.80s)
that showcases that yes, you can solve
[21:12] (1272.64s)
the problems that this manager has.
[21:14] (1274.96s)
>> You mentioned briefly there, you said
[21:17] (1277.04s)
the recruiter, the compensation
[21:19] (1279.28s)
conversations with the recruiter and how
[21:21] (1281.28s)
you need to be extremely careful in
[21:23] (1283.44s)
those conversations. What's the most
[21:25] (1285.20s)
common mistake people are making when it
[21:26] (1286.96s)
comes to those compensation
[21:28] (1288.80s)
conversations?
[21:30] (1290.40s)
>> Yeah, look, I'm not a negotiation
[21:32] (1292.00s)
expert. I won't I won't present myself
[21:33] (1293.36s)
as one. You can even hire people who are
[21:35] (1295.44s)
who are really good at helping you
[21:36] (1296.88s)
negotiate with these big tech companies
[21:38] (1298.56s)
and I recommend that you go get some
[21:39] (1299.84s)
advice from them. But I will say that um
[21:42] (1302.08s)
you know early anchoring in any
[21:44] (1304.32s)
negotiation is dangerous. So if if if
[21:46] (1306.48s)
early conversations where they're asking
[21:47] (1307.92s)
you about your uh compensation
[21:49] (1309.76s)
expectations, um you should be very
[21:51] (1311.44s)
careful about what you tell them because
[21:53] (1313.04s)
that will uh that will anchor you into
[21:55] (1315.36s)
the expectation to the conversation that
[21:57] (1317.04s)
you that you talk about. You should
[21:58] (1318.64s)
definitely get some advice and and
[22:00] (1320.24s)
understand the laws in your local um uh
[22:02] (1322.88s)
uh jurisdiction. So for example, in
[22:04] (1324.88s)
California and New York, uh you're
[22:06] (1326.72s)
required the recruiter is required to to
[22:08] (1328.48s)
tell you about the bands and salary
[22:09] (1329.76s)
bands and total comp bandants for for
[22:11] (1331.20s)
each each of the the jobs that you're
[22:12] (1332.80s)
being applying for. So you can leverage
[22:14] (1334.48s)
that to understand where you are in the
[22:16] (1336.32s)
comp bands um at that point. But I would
[22:18] (1338.64s)
not say I'm an expert at at negotiation.
[22:20] (1340.56s)
I think probably the probably the
[22:21] (1341.76s)
biggest mistake most people make is they
[22:23] (1343.36s)
don't have multiple offers. So if you
[22:25] (1345.28s)
are negotiating from a position of
[22:26] (1346.64s)
weakness like I don't have any other
[22:28] (1348.48s)
offers. I'm just talking to you and
[22:29] (1349.92s)
you're the only company I'm going to be
[22:31] (1351.84s)
very difficult for you to get to extract
[22:33] (1353.44s)
anything from that that company. And
[22:35] (1355.04s)
which is why it's it's so important for
[22:36] (1356.48s)
you to to orchestrate your offers to
[22:39] (1359.12s)
land at a somewhat similar time. I know
[22:40] (1360.96s)
that's more stressful. I understand it
[22:42] (1362.80s)
takes more work, you know, to go through
[22:44] (1364.64s)
the the interview process at the same
[22:46] (1366.08s)
time. Um, but if you have multiple
[22:48] (1368.56s)
offers in hand, that's your best your
[22:50] (1370.32s)
best bet for being able to improve your
[22:52] (1372.32s)
compensation position.
[22:54] (1374.16s)
>> So, I guess going back to the the
[22:56] (1376.96s)
leveling side of things, let's say let's
[23:00] (1380.16s)
say I'm staff engineer and I I will only
[23:03] (1383.84s)
take an interview if it's staff and I
[23:06] (1386.08s)
make a mistake early in the process,
[23:08] (1388.08s)
like I'm talking to the recruiter,
[23:10] (1390.08s)
>> like on the phone screen, for example.
[23:11] (1391.60s)
>> Yeah. Yeah. Can I be direct with the
[23:13] (1393.92s)
recruiter and say, "Hey, I'm I see that
[23:17] (1397.12s)
I'm getting a lot of coding interviews.
[23:18] (1398.96s)
I think maybe I I got the wrong I might
[23:21] (1401.76s)
have sent the wrong signal." In which
[23:23] (1403.44s)
case, it's fine. Let's just end the
[23:24] (1404.88s)
process or can I get leveled at a
[23:28] (1408.00s)
higher? Can you negotiate at that level
[23:30] (1410.32s)
in mid-process?
[23:31] (1411.20s)
>> Yeah, that's a really good question. I'm
[23:32] (1412.24s)
sure it depends on the company and the
[23:33] (1413.68s)
process. I would say that's a good
[23:34] (1414.96s)
conversation to have with your recruiter
[23:36] (1416.88s)
if if you know that you're being placed
[23:38] (1418.80s)
in uh to consideration for a level that
[23:40] (1420.72s)
you don't want to be. Um what I will say
[23:43] (1423.04s)
is that there are many times when we
[23:44] (1424.72s)
would uplevel people as well as down
[23:46] (1426.48s)
level people and um so the recruiter
[23:49] (1429.20s)
will is their interest. They'll try to
[23:50] (1430.96s)
keep you in the process. They will say
[23:52] (1432.40s)
let me stick around you know maybe we'll
[23:53] (1433.76s)
evaluate you and and and maybe we'll you
[23:55] (1435.52s)
know we'll offer you this second thing.
[23:57] (1437.28s)
And I would push for um to go ahead and
[23:59] (1439.20s)
try to get as much of that evaluation
[24:00] (1440.80s)
process done for the level that you
[24:02] (1442.72s)
would like to to um be hired for as much
[24:05] (1445.12s)
as possible. That way you don't have to
[24:06] (1446.08s)
go through follow-up interviews or they
[24:07] (1447.60s)
don't have to, you know, change
[24:08] (1448.72s)
something about the process late in the
[24:10] (1450.00s)
game. Try to collect as much information
[24:11] (1451.44s)
for the hiring committee um at as as
[24:14] (1454.40s)
possible at once as possible. So yes, I
[24:16] (1456.40s)
think that's a good conversation to
[24:17] (1457.44s)
have. Um but uh you know if it was a job
[24:20] (1460.24s)
you were really interested in and they
[24:22] (1462.00s)
were offering they were considering you
[24:23] (1463.36s)
for one level below uh and they were not
[24:25] (1465.68s)
willing to change anything I I would it
[24:27] (1467.92s)
depends on the job obviously depends on
[24:29] (1469.44s)
the total comp opportunity and where
[24:30] (1470.96s)
you're at. But I would say try to rock
[24:33] (1473.28s)
the interviews as much as possible and
[24:34] (1474.80s)
then get that consideration for the
[24:35] (1475.92s)
higher level. And you can do that in a
[24:37] (1477.84s)
couple of key ways. So the first way is
[24:39] (1479.84s)
to make sure that you're anchoring every
[24:41] (1481.20s)
conversation you have with all of your
[24:42] (1482.72s)
interviewers at that higher level which
[24:44] (1484.72s)
again comes back down to that tell me
[24:46] (1486.24s)
about yourself when when they especially
[24:47] (1487.92s)
behavioral and the system design
[24:48] (1488.88s)
interview when you're having those
[24:49] (1489.68s)
conversations and you are talking about
[24:52] (1492.48s)
very large scope projects talking about
[24:54] (1494.16s)
impact which is commensurate with that
[24:56] (1496.08s)
higher level the behavioral interviewer
[24:57] (1497.84s)
especially will notice that and uh then
[24:59] (1499.68s)
they will want to dive into that and
[25:00] (1500.88s)
they will want to ask you questions and
[25:02] (1502.24s)
they will then you're re resetting their
[25:03] (1503.84s)
mind about what what to expect from the
[25:05] (1505.60s)
interview and that's super important.
[25:07] (1507.04s)
And then the second place is in that uh
[25:09] (1509.20s)
is in the story choice that you have for
[25:10] (1510.96s)
your behavioral interviews. So remember
[25:12] (1512.96s)
that um this whenever someone's asking
[25:15] (1515.04s)
you a behavioral interview question,
[25:16] (1516.24s)
there's always a question behind the
[25:17] (1517.36s)
question. Like why they ask me this?
[25:18] (1518.64s)
They don't actually really care about my
[25:20] (1520.08s)
favorite project or like they really
[25:21] (1521.52s)
don't actually care that much about some
[25:22] (1522.80s)
time I had a conflict with my manager.
[25:24] (1524.24s)
They're probably going to forget a bunch
[25:25] (1525.36s)
bunch of those that that that detail
[25:27] (1527.68s)
right after the interview. What they
[25:29] (1529.36s)
want to see is are you operating at the
[25:31] (1531.20s)
level that they're expecting you to
[25:32] (1532.48s)
operate. So make sure and I talk about
[25:34] (1534.40s)
this in the book. There's four different
[25:36] (1536.16s)
considerations for whenever you choose a
[25:37] (1537.52s)
story and the number one choice is
[25:39] (1539.04s)
scope. You want to make sure that you
[25:40] (1540.56s)
have come out of that behavioral
[25:41] (1541.68s)
interview telling the stories that that
[25:44] (1544.16s)
are the highest scope and the ones that
[25:45] (1545.60s)
represent you the most, the ones that
[25:47] (1547.28s)
you would love to tell to a hiring
[25:48] (1548.56s)
manager. So that's your job as a
[25:49] (1549.92s)
behavioral interview candidate. I want
[25:52] (1552.32s)
to leave that interview having told the
[25:54] (1554.00s)
most important stories from my career.
[25:55] (1555.84s)
And sometimes that can be kind of
[25:56] (1556.88s)
challenging because they they you are
[25:58] (1558.64s)
not driving, right? The interviewer is
[26:00] (1560.24s)
driving. But your task as a candidate is
[26:03] (1563.04s)
to guide the interviewer towards that
[26:04] (1564.96s)
signal towards that place in your career
[26:06] (1566.96s)
where they're going to collect the
[26:08] (1568.08s)
signal that uh you think best represents
[26:10] (1570.32s)
you and and you do that by choosing
[26:12] (1572.16s)
stories that are the highest scope and
[26:13] (1573.92s)
the highest impact that you've
[26:14] (1574.96s)
delivered. So around a year ago a buddy
[26:17] (1577.20s)
of mine he was applying for a senior
[26:18] (1578.96s)
role at all of the top AI labs and he
[26:21] (1581.44s)
actually got an offer at Anthropic. when
[26:23] (1583.44s)
he was going through the process, I
[26:25] (1585.28s)
remember him telling me that the single
[26:27] (1587.20s)
most impactful tool for him in preparing
[26:30] (1590.08s)
for system design was the free resources
[26:32] (1592.16s)
that Hello Interview has on their
[26:33] (1593.60s)
website. If you are preparing for
[26:35] (1595.28s)
technical interviews, I highly recommend
[26:37] (1597.44s)
you check out Hello Interview. I would
[26:39] (1599.52s)
have said that even before they
[26:40] (1600.88s)
sponsored this episode. I think they're
[26:42] (1602.48s)
providing something that's great for the
[26:43] (1603.92s)
community. Also, if you're preparing for
[26:45] (1605.68s)
behavioral interviews, they're actually
[26:47] (1607.36s)
partnering with Austin to provide more
[26:49] (1609.60s)
behavioral interview resources on their
[26:51] (1611.60s)
website. So, I'll put a link in the show
[26:53] (1613.20s)
notes so you can check it out. This is
[26:54] (1614.80s)
the absolute first ad I've ever done for
[26:57] (1617.20s)
this podcast after over a year. Right
[26:59] (1619.28s)
now, the podcast is running net
[27:01] (1621.60s)
negative. Hopefully, it can sustain
[27:03] (1623.84s)
itself soon. This is a step in that
[27:05] (1625.52s)
direction. And I just want to say thank
[27:07] (1627.44s)
you so much for supporting the podcast.
[27:09] (1629.60s)
With that, let's get back into the
[27:10] (1630.88s)
episode. Austin's about to tell us how
[27:12] (1632.96s)
to avoid being downleveled accidentally.
[27:15] (1635.76s)
The big question then is how how do you
[27:17] (1637.92s)
do it concretely? Maybe we can go over
[27:20] (1640.32s)
some concrete examples. What would a
[27:23] (1643.52s)
senior scope project look like? What
[27:25] (1645.60s)
would a staff project look like? Senior
[27:27] (1647.68s)
staff, principal. Maybe we can take the
[27:29] (1649.84s)
same example and kind of evolve it so
[27:32] (1652.08s)
people can hear what are the keywords
[27:33] (1653.84s)
people are looking for.
[27:35] (1655.52s)
>> Right? I'll give you a sense of where um
[27:37] (1657.52s)
big tech companies like fang oriented
[27:39] (1659.28s)
companies are at with their levels now.
[27:41] (1661.36s)
But for the specific company that you're
[27:43] (1663.04s)
applying to, you should go do some
[27:44] (1664.16s)
research and figure out what is expected
[27:45] (1665.76s)
of a mid-level engineer, what is
[27:46] (1666.88s)
expected of a staff level engineer.
[27:48] (1668.16s)
Oftentimes you can find this information
[27:49] (1669.68s)
on the internet but I'll tell you a very
[27:51] (1671.36s)
simple rubric is something like a you
[27:53] (1673.44s)
know a new grad engineer is doing tasks
[27:55] (1675.36s)
you know they do a task uh come back to
[27:57] (1677.44s)
the team go to the manager Jira whatever
[27:59] (1679.52s)
whatever has given them the task they go
[28:00] (1680.80s)
do another task right that's their job a
[28:02] (1682.40s)
mid-level engineer is doing a feature a
[28:05] (1685.12s)
feature has many tasks and and the
[28:06] (1686.96s)
feature is something that might take you
[28:08] (1688.64s)
know a couple of weeks or something and
[28:10] (1690.08s)
that's what they're that's what they're
[28:11] (1691.12s)
working on and the senior engineer is uh
[28:13] (1693.68s)
doing projects projects have many
[28:15] (1695.12s)
features which have many tasks often
[28:16] (1696.80s)
times projects are ones that working
[28:18] (1698.24s)
through others perhaps um other uh
[28:20] (1700.00s)
mid-level engineers or other junior
[28:21] (1701.84s)
engineers who are working underneath
[28:23] (1703.28s)
them. So there's some kind of leadership
[28:24] (1704.48s)
and delegation and organization and
[28:26] (1706.16s)
communication expectation for this level
[28:27] (1707.92s)
five person or or the senior person
[28:30] (1710.40s)
staff person um level six at at meta for
[28:33] (1713.92s)
example would be uh somebody who is
[28:36] (1716.08s)
responsible for some kind of goal right
[28:38] (1718.32s)
so uh this is the goal the in order to
[28:40] (1720.64s)
accomplish this engagement goal or this
[28:42] (1722.80s)
uh you know revenue goal we have need to
[28:44] (1724.48s)
have multiple projects which have
[28:45] (1725.60s)
multiple features multiple tasks right
[28:46] (1726.96s)
so there's this natural cascading
[28:48] (1728.80s)
hierarchy of of what's expected based on
[28:50] (1730.96s)
ambiguity right that's how we that's how
[28:52] (1732.80s)
that's what levels really mean is how
[28:54] (1734.56s)
much ambiguity can you handle. The
[28:56] (1736.16s)
ambiguity of an intern is very different
[28:57] (1737.76s)
than the ambiguity of the CEO. Uh and
[28:59] (1739.84s)
that's what what uh what differentiates
[29:02] (1742.40s)
the levels and differentiate
[29:03] (1743.44s)
compensation. And then this like level
[29:05] (1745.44s)
seven or this principle or distinct
[29:06] (1746.88s)
whatever you want to call it. This next
[29:08] (1748.24s)
level is more about uh organization. So
[29:10] (1750.72s)
I'm responsible for an entire
[29:11] (1751.92s)
organization which has many goals which
[29:13] (1753.84s)
just many projects which just many
[29:15] (1755.44s)
features many tasks and then maybe
[29:17] (1757.44s)
whatever the next level is it's
[29:18] (1758.96s)
sometimes it's distinguished or or
[29:20] (1760.72s)
different people have different names
[29:21] (1761.60s)
for this thing but that's uh responsible
[29:23] (1763.76s)
for for like industry I'm responsible
[29:25] (1765.60s)
for this industry right which has or
[29:27] (1767.52s)
this entire uh you know business which
[29:29] (1769.76s)
has many organizations which has many uh
[29:32] (1772.48s)
goals etc. So I think that when you're
[29:34] (1774.80s)
when you're choosing stories to tell
[29:36] (1776.48s)
about landing a certain job, you need to
[29:38] (1778.80s)
understand what those level expectations
[29:40] (1780.24s)
are at the company that you're that
[29:41] (1781.44s)
you're targeting and then making sure
[29:42] (1782.96s)
that you're telling stories that hit
[29:44] (1784.48s)
those hit those notes. So let's take for
[29:46] (1786.08s)
example staff
[29:48] (1788.16s)
um staff level engineer is a big
[29:50] (1790.32s)
difference between that and a and a
[29:51] (1791.60s)
senior engineer and really it comes down
[29:53] (1793.44s)
to how the the breadth of impact that
[29:55] (1795.76s)
you're making. So you're you are uh
[29:57] (1797.68s)
making impact more than just your small
[30:00] (1800.00s)
project and your small area. oftentimes
[30:01] (1801.92s)
it's an entire team or maybe multiple
[30:03] (1803.76s)
teams you're working with. Oftentimes
[30:05] (1805.36s)
you're telling stories that involve a
[30:06] (1806.96s)
lot of of working across an
[30:08] (1808.48s)
organization, a very large organization.
[30:10] (1810.32s)
So this is why it's so difficult for for
[30:12] (1812.72s)
startup engineers unless you were the
[30:14] (1814.80s)
founder for example to get a job at
[30:17] (1817.20s)
staff or hire is because those those
[30:19] (1819.28s)
experiences are oftentimes u limited by
[30:21] (1821.44s)
the number of people that you've worked
[30:22] (1822.56s)
with. So if you didn't have to, you
[30:24] (1824.24s)
know, if there was only one stakeholder
[30:25] (1825.52s)
CEO and like two or three engineers,
[30:26] (1826.96s)
it's pretty difficult for you to
[30:28] (1828.08s)
demonstrate the kind of depth of
[30:29] (1829.52s)
organizational leadership that is
[30:30] (1830.96s)
required for that that staff level
[30:32] (1832.72s)
position. Um then there's like a
[30:34] (1834.72s)
technology uh complexity. So here you
[30:37] (1837.68s)
can uh and this really difficult in a
[30:39] (1839.36s)
behavioral interview. How do I
[30:40] (1840.16s)
communicate the difficulty of this
[30:41] (1841.36s)
technology problem, this this bug or
[30:44] (1844.00s)
this this this architecture decision?
[30:45] (1845.44s)
And you have to quantify that. So you
[30:46] (1846.80s)
have to talk about the the amount of
[30:48] (1848.24s)
time it has. You have to quantify the
[30:49] (1849.60s)
risk. you have to talk about the number
[30:50] (1850.72s)
of people you had to talk to to get
[30:52] (1852.24s)
advice or you have to somehow give me a
[30:54] (1854.56s)
sense of um how risky it was right in
[30:57] (1857.36s)
order to make this choice how difficult
[30:58] (1858.64s)
it was for you to back out of this
[31:00] (1860.16s)
choice for example so you can you can uh
[31:02] (1862.80s)
talk around the complexity of this
[31:04] (1864.40s)
technical problem and give me a sense of
[31:05] (1865.76s)
of what what is there um and then
[31:08] (1868.08s)
there's oftentimes leadership pieces
[31:09] (1869.60s)
this is something that's people forget
[31:10] (1870.96s)
about uh they talk maybe they maybe they
[31:12] (1872.80s)
talk about tech oft almost always they
[31:14] (1874.16s)
talk about technology right engineers oh
[31:15] (1875.76s)
I love talk about tech you know probably
[31:17] (1877.68s)
if anybody they talk too much about tech
[31:19] (1879.84s)
Uh then there's this organizational
[31:21] (1881.20s)
thing which I talked about before but
[31:22] (1882.48s)
sometimes people forget to even talk
[31:23] (1883.84s)
about the leadership parts. A lot of
[31:25] (1885.68s)
projects involve um some kind of
[31:28] (1888.00s)
influence and mentorship for example
[31:29] (1889.84s)
over others. So now you're convincing
[31:31] (1891.52s)
people to do things maybe they don't
[31:32] (1892.64s)
want to do. That's a big part of of of a
[31:34] (1894.80s)
staff engineer motivating people or
[31:36] (1896.72s)
getting concessions out of other teams
[31:38] (1898.08s)
aligning on road maps that sort of
[31:39] (1899.44s)
thing. And then there's also mentoring.
[31:40] (1900.96s)
So how did I mentor and help the people
[31:42] (1902.64s)
who worked underneath me and made them
[31:44] (1904.00s)
better? How did I make the team better?
[31:45] (1905.12s)
How I make the org better? So those
[31:46] (1906.56s)
things are oftenimes forgotten about
[31:48] (1908.00s)
when people are trying to to anchor this
[31:50] (1910.32s)
the the listener uh and make them think
[31:52] (1912.40s)
yes this is a this is a staff level
[31:53] (1913.92s)
engineer. So really and and we go back
[31:56] (1916.48s)
to what you said earlier if you can
[31:58] (1918.40s)
reflect on your own career and
[31:59] (1919.68s)
understand what makes you successful and
[32:01] (1921.36s)
you can identify those pieces which um
[32:04] (1924.08s)
differentiate you from other engineers.
[32:06] (1926.16s)
Those are the things that you need to
[32:07] (1927.36s)
talk about in the in the behavioral
[32:08] (1928.88s)
interview. Uh and and vice versa. So if
[32:11] (1931.04s)
you reflect back on your career as a
[32:12] (1932.40s)
behavioral interview behavioral
[32:14] (1934.08s)
candidate and you think about what made
[32:15] (1935.44s)
me successful, then you can start to
[32:17] (1937.04s)
repeat those things in your day job,
[32:18] (1938.56s)
right? And and you'll be more successful
[32:19] (1939.92s)
in what you do.
[32:21] (1941.20s)
>> If you know the rubric, then you can you
[32:23] (1943.44s)
can do the rubric and you can also talk
[32:25] (1945.92s)
the rubric as well,
[32:27] (1947.04s)
>> right? So know the rubric, right? That's
[32:28] (1948.40s)
the most important thing. [laughter]
[32:30] (1950.48s)
I think one of the biggest ways that you
[32:32] (1952.40s)
talked about scope was kind of in the
[32:34] (1954.88s)
organizational complexity or how many
[32:37] (1957.36s)
what's the leadership position you are
[32:39] (1959.12s)
in the org but what about specialists?
[32:41] (1961.84s)
So I've worked with engineers who
[32:44] (1964.08s)
they're solving problems that no one
[32:45] (1965.52s)
else can solve. They're their own
[32:46] (1966.88s)
snowflake and we need that person cuz
[32:49] (1969.36s)
they're pushing the industry forward and
[32:50] (1970.96s)
it's having a lot of impact. How is
[32:53] (1973.12s)
someone like that supposed to talk about
[32:54] (1974.56s)
their work?
[32:55] (1975.44s)
>> Yeah. So the first thing is to
[32:56] (1976.80s)
understand business impact of what
[32:58] (1978.24s)
you're doing and um I think this is
[33:00] (1980.00s)
really hard for some engineers right who
[33:01] (1981.84s)
are focused more on the technology. Um
[33:03] (1983.68s)
but there is some reason why this
[33:05] (1985.28s)
technology was required and some kind of
[33:07] (1987.20s)
context which around which it's it it it
[33:09] (1989.44s)
uh it lives and I always encourage
[33:10] (1990.96s)
people to think about what would Steve
[33:12] (1992.08s)
Jobs say about this like technological
[33:14] (1994.32s)
advancement that you that you've brought
[33:15] (1995.76s)
about. Why is it that that this project
[33:18] (1998.00s)
was so important or so uh critical to
[33:20] (2000.16s)
the company? What's the business
[33:21] (2001.20s)
context? So, make sure that you're
[33:22] (2002.16s)
delivering that.
[33:23] (2003.28s)
>> One framing I know that's common in
[33:25] (2005.44s)
promo committees is this person solved
[33:28] (2008.64s)
problems that those people couldn't and
[33:31] (2011.36s)
well those people are staff. So then if
[33:34] (2014.56s)
he's solving problem staff people then
[33:37] (2017.12s)
he or she must be uh greater than staff.
[33:40] (2020.00s)
So when your manager is saying that on
[33:41] (2021.84s)
your behalf in a promo committee it
[33:43] (2023.60s)
makes sense. If you say that on your own
[33:45] (2025.04s)
stories, say, "Yeah, I I landed this
[33:47] (2027.20s)
project and actually there's a team of
[33:49] (2029.28s)
five staff engineers that failed for a
[33:51] (2031.52s)
year before I got there." Sounds a
[33:53] (2033.68s)
little bit uh a little bit like too
[33:56] (2036.96s)
>> I don't think actually I don't think so.
[33:58] (2038.32s)
I totally disagree. So I think this is
[33:59] (2039.68s)
one of the the methods that I that I
[34:01] (2041.04s)
hear and is very successful is again
[34:03] (2043.36s)
you're talking around this complexity to
[34:04] (2044.80s)
give people a sense and to pattern match
[34:06] (2046.96s)
in their mind. So behavioral
[34:08] (2048.24s)
interviewers are pattern matchers. They
[34:10] (2050.16s)
are looking to see if you match the
[34:12] (2052.16s)
patterns that they expect for this
[34:13] (2053.52s)
level. And one of those things is going
[34:16] (2056.08s)
to be whether or not you have solved
[34:18] (2058.00s)
problems other people haven't. So I
[34:19] (2059.12s)
don't think it is necessarily bad to say
[34:20] (2060.56s)
something like when I took on this
[34:22] (2062.32s)
project I was the third owner and this
[34:25] (2065.52s)
is where they had failed. And this is
[34:27] (2067.12s)
where I'm looking for there is not just
[34:28] (2068.56s)
like haha I'm better than all these
[34:29] (2069.84s)
other people. I'm looking for the
[34:31] (2071.04s)
insight that made their efforts
[34:33] (2073.52s)
unsuccessful. So, oh, these people
[34:35] (2075.52s)
attempted, you know, this product market
[34:37] (2077.28s)
fit and that didn't work. Or these
[34:38] (2078.32s)
people attempted, you know, this
[34:39] (2079.44s)
technical approach and that didn't work
[34:40] (2080.88s)
for these reasons. And that kind of
[34:42] (2082.80s)
judgment and reflection is a big part of
[34:44] (2084.96s)
of uh of uh of assessing someone at a
[34:48] (2088.16s)
senior level and something that people
[34:49] (2089.84s)
often forget. They just tell the story,
[34:52] (2092.00s)
had a problem, I solved the problem, I'm
[34:54] (2094.08s)
done. And not giving me some sense of um
[34:56] (2096.24s)
what they learned or what the deeper
[34:58] (2098.08s)
insight is. And to me, that's the sign
[35:00] (2100.08s)
of somebody who's u you know, above
[35:02] (2102.16s)
staff level. the analoges between
[35:05] (2105.04s)
promotion conversations and recruitment
[35:08] (2108.32s)
conversations. It makes a lot of sense
[35:10] (2110.80s)
to me. And one thing that I see actually
[35:12] (2112.96s)
because when I was looking through the
[35:14] (2114.80s)
the YouTube comments of a previous
[35:17] (2117.20s)
interview done, there were some people
[35:19] (2119.20s)
were saying people can just oversell
[35:22] (2122.00s)
themselves and the person was a little
[35:24] (2124.56s)
bit salty that someone could manage the
[35:27] (2127.28s)
optics and kind of get a good
[35:29] (2129.28s)
recruitment outcome. But and I see very
[35:33] (2133.04s)
similar stuff on the promo the promo
[35:36] (2136.40s)
content that I've made is some people
[35:38] (2138.88s)
usually a vocal minority saying, "Oh,
[35:40] (2140.72s)
this person just really knows how to
[35:42] (2142.96s)
sell themselves." And I think um it's I
[35:46] (2146.48s)
think that's true and unfortunate that
[35:48] (2148.96s)
uh it can just be not necessarily your
[35:52] (2152.40s)
your achievements by themselves just
[35:55] (2155.20s)
objectively being true. you kind of have
[35:57] (2157.20s)
to you we're it's a very human process.
[36:00] (2160.80s)
So how you sell it is going to have a
[36:03] (2163.12s)
big impact on how it's perceived in both
[36:05] (2165.60s)
of these. So I I guess it's one of those
[36:08] (2168.08s)
things where it's just how it is and you
[36:11] (2171.20s)
need to learn how to play that game if
[36:12] (2172.88s)
you want to have good results in the
[36:16] (2176.00s)
>> Yeah. Welcome to the world, right? And
[36:18] (2178.00s)
this this works for uh this works this
[36:20] (2180.72s)
is the case in our careers. This is the
[36:22] (2182.56s)
case in our personal relationships.
[36:24] (2184.24s)
Don't you know that I love you? Can't
[36:26] (2186.00s)
you can't you just feel that I love you?
[36:28] (2188.00s)
That doesn't work, right? You have to do
[36:29] (2189.60s)
the behaviors. You have to demonstrate
[36:31] (2191.04s)
the things that in your relationships.
[36:32] (2192.40s)
You have to demonstrate the things in
[36:33] (2193.52s)
your career. And you you have to to to
[36:36] (2196.00s)
tell people, right? You have to
[36:37] (2197.20s)
communicate those things. And uh that
[36:39] (2199.44s)
may be unpleasant for some some folks.
[36:41] (2201.52s)
And it's can be difficult, but this is
[36:43] (2203.84s)
part of um of of us maturing as as
[36:46] (2206.96s)
people and us maturing in our careers is
[36:49] (2209.28s)
understanding that there are certain
[36:51] (2211.04s)
things that are worth doing that maybe
[36:53] (2213.28s)
um is a tax like on our on our progress.
[36:56] (2216.08s)
Um you don't have to do them, but you
[36:58] (2218.24s)
also will not get promoted or you also
[37:00] (2220.08s)
will not get the uh like staff level
[37:01] (2221.92s)
engineer um uh job, right? I I I tell
[37:05] (2225.84s)
people, look, on the other side of this
[37:08] (2228.80s)
principal engineering job is a million
[37:10] (2230.64s)
dollars a year compensation. So, you
[37:12] (2232.24s)
better eat your waties before you go
[37:13] (2233.68s)
into that interview, right? You better
[37:15] (2235.28s)
be ready. And and you can say what you
[37:17] (2237.44s)
want about like how difficult it is to
[37:19] (2239.60s)
assess people or whatever, but they're
[37:20] (2240.80s)
going to give you a million dollars a
[37:22] (2242.00s)
year. They're going to put you through
[37:23] (2243.20s)
the ringer, so you need to be ready for
[37:26] (2246.40s)
>> So, going back to the um the the promo
[37:29] (2249.20s)
committees, I I wanted to understand I'm
[37:31] (2251.92s)
just kind of like recollecting all the
[37:33] (2253.68s)
people you mentioned. So there's the
[37:34] (2254.96s)
sorcerer, there seems to be a hiring
[37:37] (2257.52s)
committee, there's the people
[37:39] (2259.52s)
>> recruiter.
[37:40] (2260.48s)
>> Okay. Yeah, the recruiter, there's the
[37:42] (2262.40s)
people in the hiring committee, there's
[37:43] (2263.84s)
the people who conduct interviews, and I
[37:46] (2266.24s)
guess they draft up notes that the
[37:47] (2267.76s)
hiring committee reviews, but who's the
[37:49] (2269.92s)
actual decision maker in these
[37:51] (2271.92s)
processes,
[37:53] (2273.44s)
>> right? Right. So, we should talk there's
[37:55] (2275.12s)
a sourcer. There's also a different
[37:56] (2276.32s)
person called a recruiter. I forgot to
[37:57] (2277.76s)
mention them, but usually the sourcer is
[37:59] (2279.44s)
someone who finds you. they typically
[38:00] (2280.56s)
will hand you off to someone called a
[38:02] (2282.56s)
recruiter once you get into the process
[38:04] (2284.16s)
once you get through the phone screen.
[38:06] (2286.00s)
And uh this person is the person that
[38:07] (2287.52s)
you're going to be doing the negotiation
[38:08] (2288.80s)
with, the person who's going to be
[38:09] (2289.84s)
organizing your loop, the person who's
[38:11] (2291.04s)
going to be advocating for you in front
[38:12] (2292.64s)
of the hiring committee. So there are
[38:14] (2294.16s)
obviously many decision makers. There's
[38:15] (2295.84s)
a sourcer who's just looking at your
[38:16] (2296.88s)
LinkedIn and deciding whether they
[38:18] (2298.08s)
should contact you. There's that that
[38:19] (2299.92s)
decision. There's also the decision of
[38:22] (2302.08s)
uh the um you know the initial phone
[38:24] (2304.08s)
screener, whoever's talking to you at
[38:25] (2305.92s)
different levels. That could be again
[38:26] (2306.96s)
that that sorcerer doing a a multiple
[38:29] (2309.44s)
choice question or it could be an
[38:30] (2310.80s)
engineer who's giving you a phone like a
[38:32] (2312.88s)
a coding phone screen. Then um there's
[38:35] (2315.92s)
uh the hiring committee. So the
[38:37] (2317.28s)
committee makes a decision based on um
[38:40] (2320.32s)
and usually it's driven by consensus. So
[38:42] (2322.72s)
uh but sometimes we would have to fall
[38:44] (2324.32s)
back into voting. Um but the uh
[38:46] (2326.64s)
consensus uh would be established of
[38:49] (2329.04s)
whether or not this person should be
[38:50] (2330.08s)
hired at this level or whether we should
[38:51] (2331.68s)
do a a uh you know follow-up or whether
[38:54] (2334.08s)
we should drop the person from the
[38:55] (2335.44s)
process and then again like I said
[38:57] (2337.20s)
there's this decision being made
[38:58] (2338.48s)
generally as a consensus among two or
[39:00] (2340.48s)
three engineering directors who are uh
[39:02] (2342.48s)
you know who are above us making that
[39:04] (2344.40s)
final call and those folks would would
[39:07] (2347.12s)
operate mostly in consensus but
[39:08] (2348.48s)
sometimes they would vote.
[39:10] (2350.17s)
>> [snorts]
[39:10] (2350.24s)
>> in the hiring committee. Have you ever
[39:12] (2352.24s)
seen cases where there was some obvious
[39:14] (2354.88s)
bias? Maybe someone's son happens to
[39:18] (2358.64s)
land in the hiring committee of uh the
[39:22] (2362.72s)
father or something like that.
[39:25] (2365.23s)
[laughter]
[39:26] (2366.08s)
>> I've never seen an experience where
[39:27] (2367.52s)
there's any kind of overt nepotism or
[39:29] (2369.68s)
bribery or anything that's really
[39:31] (2371.28s)
exciting like that. But I have seen
[39:33] (2373.12s)
cases where um referrals play a huge a
[39:36] (2376.16s)
huge um you know a huge role whether or
[39:38] (2378.00s)
not the referral comes from somebody
[39:39] (2379.20s)
who's very senior or whether or not um
[39:41] (2381.60s)
someone has actually showed up to in the
[39:43] (2383.04s)
room in the hiring committee. So
[39:44] (2384.16s)
sometimes there's a a friend or there's
[39:46] (2386.24s)
uh someone who's worked with this person
[39:47] (2387.44s)
before and they will show up and
[39:48] (2388.80s)
advocate for you in the room um and to
[39:51] (2391.20s)
the hiring committee and that does make
[39:52] (2392.48s)
a big difference. So if you can find a
[39:54] (2394.48s)
referral, I know this is not news or to
[39:56] (2396.56s)
anybody, but if you can find a referral,
[39:58] (2398.00s)
if you can find somebody who knows you
[39:59] (2399.44s)
and who will be willing to to go and
[40:01] (2401.20s)
spend their time in a meeting, that will
[40:02] (2402.48s)
make a big difference.
[40:04] (2404.40s)
>> When I worked at Meta, I mean, referrals
[40:07] (2407.28s)
and as a low-level engineer, they just
[40:10] (2410.48s)
kind of felt like this thing where I
[40:11] (2411.84s)
just fired it off and forgot about it.
[40:14] (2414.16s)
But are you saying that at a higher
[40:16] (2416.40s)
level like the the level of the person
[40:19] (2419.36s)
matters and to the point where they can
[40:21] (2421.28s)
even hop into the hiring committee? Is
[40:23] (2423.60s)
that right?
[40:24] (2424.80s)
>> For sure. So um uh well yes for sure the
[40:28] (2428.80s)
level the person who's who's providing
[40:30] (2430.16s)
this advice is is very much matters. So
[40:32] (2432.00s)
if it's a VP or a director who is
[40:33] (2433.92s)
referring this person, they understand
[40:35] (2435.44s)
that their their reputation is on the
[40:36] (2436.88s)
line. They are not just passing through
[40:38] (2438.56s)
someone they found on LinkedIn
[40:39] (2439.90s)
[laughter] to this to this process. they
[40:41] (2441.60s)
are they I've directly worked with this
[40:43] (2443.04s)
person most likely and are willing to
[40:44] (2444.24s)
put their personal reputation on the
[40:45] (2445.92s)
line to to hire this person that's a big
[40:47] (2447.76s)
deal um I will say that referrals of
[40:49] (2449.60s)
course have varying quality so we talked
[40:51] (2451.12s)
about level also the content of the
[40:52] (2452.72s)
referral so if it's like hey I knew this
[40:54] (2454.64s)
person in school like maybe consider
[40:56] (2456.00s)
them is very different than I work with
[40:57] (2457.44s)
this person they have this quality this
[40:58] (2458.96s)
quality this quality this quality and
[41:00] (2460.40s)
that's why you should hire them and so
[41:01] (2461.84s)
for certainly when you asking for a
[41:03] (2463.36s)
referral especially if the person has
[41:05] (2465.60s)
worked directly with you you should
[41:06] (2466.88s)
provide information to them you should
[41:08] (2468.40s)
like write the referral for them provide
[41:09] (2469.92s)
them information about that they could
[41:11] (2471.20s)
pass on to the to the hiring committee
[41:12] (2472.72s)
and we would certainly look at that. So
[41:13] (2473.84s)
we would we would read through those
[41:15] (2475.12s)
referrals and understand whether or not
[41:16] (2476.40s)
this is just somebody who happened to
[41:17] (2477.92s)
come across one of our employees and
[41:19] (2479.36s)
that's how I got referred or someone who
[41:20] (2480.96s)
worked directly with them and if they
[41:22] (2482.56s)
worked directly with them and they say
[41:24] (2484.00s)
re relevant things that makes a big
[41:25] (2485.60s)
difference and I would say the the
[41:27] (2487.04s)
biggest difference it makes is when
[41:28] (2488.32s)
you're on the border when you're on the
[41:29] (2489.36s)
bubble. So if you are you know maybe you
[41:31] (2491.76s)
you flubbed a couple of interviews um I
[41:34] (2494.08s)
actually think this was my my situation.
[41:35] (2495.44s)
And so when I applied, I I flubbed a
[41:37] (2497.28s)
couple of the interviews, especially in
[41:38] (2498.32s)
the phone screen stage, and I got an I
[41:39] (2499.84s)
got a follow-up, and I'm pretty sure I
[41:41] (2501.20s)
got the follow-up because I had a
[41:42] (2502.48s)
referral from somebody that I was in in
[41:43] (2503.76s)
school with who worked directly with me.
[41:45] (2505.36s)
And so, thank you. Thank you. Um,
[41:46] (2506.88s)
Nathan, I appreciate it.
[41:48] (2508.24s)
>> Let's say I I did um relatively bad.
[41:51] (2511.60s)
Like, I probably would not have passed.
[41:53] (2513.52s)
Not not terrible, but it's pretty
[41:56] (2516.16s)
lukewarm from everyone in the room uh at
[41:59] (2519.28s)
best in the hiring committee. But my my
[42:03] (2523.12s)
referral is the strongest referral
[42:05] (2525.20s)
you've ever seen from a VP. Let's say at
[42:08] (2528.24s)
their previous startup, I was their
[42:09] (2529.92s)
chief of staff and I was really
[42:12] (2532.80s)
organized and I did an excellent job and
[42:15] (2535.36s)
then now they're VP at Facebook or
[42:17] (2537.12s)
something like that and then that person
[42:20] (2540.24s)
comes in guns ablazing. Would that type
[42:23] (2543.04s)
of referral make me pass in that case?
[42:26] (2546.96s)
>> So typically referrals are going to be
[42:29] (2549.20s)
helping you on that bubble. This is what
[42:30] (2550.72s)
I was saying earlier. So, the it's
[42:31] (2551.92s)
really about whether or not you're going
[42:32] (2552.80s)
to get a follow-up interview. I have
[42:34] (2554.16s)
never seen a case where where there's a
[42:37] (2557.28s)
general consensus that we should not
[42:38] (2558.72s)
hire this person, but yet the referral
[42:40] (2560.56s)
results in them getting a hire. I think
[42:42] (2562.40s)
that may happen more at leadership
[42:43] (2563.84s)
levels where the kind of people that you
[42:46] (2566.24s)
bring from your previous jobs that that
[42:48] (2568.40s)
could be very sensitive to that and
[42:49] (2569.84s)
leadership hiring is a different whole
[42:51] (2571.28s)
different ball of wax. But on the
[42:52] (2572.96s)
engineering side, I've never seen a case
[42:54] (2574.40s)
where there's almost a um you know
[42:56] (2576.96s)
unanimous consensus that we should not
[42:58] (2578.24s)
hire this person. and they don't meet
[42:59] (2579.20s)
the bar and suddenly a like VP comes in
[43:01] (2581.52s)
and then is able to push the the
[43:02] (2582.96s)
committee to to hiring them. I haven't
[43:04] (2584.32s)
seen that case but I have seen the case
[43:06] (2586.16s)
where the VP will be able to or whoever
[43:08] (2588.16s)
it is will be able to push the committee
[43:10] (2590.16s)
into giving a follow-up or maybe
[43:11] (2591.84s)
multiple follow-ups, right? And so I
[43:13] (2593.60s)
think that you there is you still have
[43:15] (2595.36s)
to perform in the interviews as an
[43:16] (2596.80s)
engineer. Um but if you have reached
[43:18] (2598.48s)
like a senior manager or director level,
[43:20] (2600.96s)
I think that it is um a little bit more
[43:23] (2603.12s)
about who you know sometimes than than
[43:24] (2604.88s)
your raw performance. I will say that a
[43:27] (2607.28s)
good hiring process is not like that. So
[43:28] (2608.96s)
good hiring process is one where you
[43:30] (2610.80s)
have identified what success what makes
[43:32] (2612.32s)
people successful inside the
[43:33] (2613.28s)
organization and then the hiring process
[43:35] (2615.12s)
is evaluating that and people are making
[43:37] (2617.04s)
a non-biased decision. But I think the
[43:39] (2619.04s)
level the number of decision makers is
[43:40] (2620.64s)
smaller as you move up and more
[43:42] (2622.64s)
influencable by uh you know by those
[43:44] (2624.80s)
around them. One thing that I think you
[43:47] (2627.36s)
can only really see with experience and
[43:49] (2629.44s)
you worked at Meta for for quite some
[43:51] (2631.52s)
time is I'm always curious what is the
[43:54] (2634.88s)
the correlation between someone's
[43:57] (2637.04s)
performance on interviews and their
[43:59] (2639.36s)
downstream performance at the company
[44:01] (2641.20s)
and I'm I know that you've been involved
[44:03] (2643.44s)
in hundreds of interviews and you've
[44:05] (2645.20s)
seen people go and enter the company.
[44:07] (2647.84s)
what what what would be that correlation
[44:10] (2650.24s)
like how often do you see that that
[44:12] (2652.32s)
person smashed interviews and they're
[44:14] (2654.40s)
doing excellent at the company or maybe
[44:16] (2656.88s)
they're off.
[44:18] (2658.80s)
>> So what we have looked at is um not so
[44:21] (2661.76s)
much in the terms of the number of
[44:23] (2663.76s)
interviews that they they succeeded or
[44:25] (2665.60s)
or or failed but rather the confidence
[44:28] (2668.00s)
level. So the confidence level we all
[44:29] (2669.68s)
oftentimes people would assess the
[44:31] (2671.12s)
interviewer's confidence level. You
[44:32] (2672.24s)
would put in a hiring decision a level
[44:33] (2673.36s)
decision and like how confident you are
[44:34] (2674.96s)
that confident decision does correlate
[44:36] (2676.88s)
with someone's future performance. And I
[44:39] (2679.20s)
think what that goes to show is that
[44:41] (2681.04s)
people there is some sense that that the
[44:42] (2682.88s)
interviewers are sort of applying to
[44:44] (2684.40s)
their even there's a rubric and they try
[44:46] (2686.08s)
to structure it as much as possible.
[44:47] (2687.36s)
There is this kind of kind of sense that
[44:49] (2689.44s)
they get from from whether or not
[44:50] (2690.72s)
someone will be successful and that is
[44:52] (2692.24s)
predictive of of um future success and
[44:55] (2695.12s)
it makes sense right we you know if
[44:56] (2696.56s)
you've done hundreds of interviews as a
[44:57] (2697.84s)
calibrated person you you kind of know
[44:59] (2699.84s)
what good looks like. It may be hard to
[45:01] (2701.60s)
define and you try to define as much as
[45:02] (2702.96s)
possible. it reduces bias when you do
[45:04] (2704.24s)
that but ultimately sometimes it comes
[45:06] (2706.08s)
down to these kind of you know u feel
[45:08] (2708.56s)
things I will say that um certainly
[45:10] (2710.88s)
there have been people who rock the
[45:12] (2712.24s)
interview and don't do well and
[45:13] (2713.36s)
certainly people who are kind of rocky
[45:14] (2714.96s)
on the interviews and they do great and
[45:16] (2716.96s)
I I think that what that shows you is is
[45:18] (2718.88s)
what we're talking about earlier
[45:20] (2720.16s)
interviewing is a skill so it is not the
[45:22] (2722.32s)
same skill as doing the job and
[45:24] (2724.00s)
unfortunately in the world we live in
[45:25] (2725.52s)
you do need to spend some time getting
[45:26] (2726.72s)
good at the interviewing skill
[45:28] (2728.40s)
>> we talked earlier about the rubric that
[45:30] (2730.80s)
those interviewers are trying to fill
[45:32] (2732.32s)
out And I'm curious for the the
[45:34] (2734.96s)
behavioral side of things, what does
[45:37] (2737.44s)
that rubric look like?
[45:39] (2739.04s)
>> So, every company's a little different.
[45:40] (2740.72s)
A a well-run company, especially big
[45:42] (2742.48s)
companies, often times they hire PhDs in
[45:44] (2744.64s)
industrial psychology. They're called
[45:46] (2746.40s)
selection scientists. And what they have
[45:48] (2748.00s)
done is they've assessed, they've gone
[45:49] (2749.68s)
around your company, they've talked to
[45:50] (2750.88s)
different people, they've tried to
[45:51] (2751.84s)
understand what makes an engineer or
[45:53] (2753.28s)
whatever the role is very successful.
[45:54] (2754.96s)
And they've codified those things into a
[45:57] (2757.12s)
set of signal areas that they look for
[45:58] (2758.72s)
in the behavioral interview. So, at at
[46:00] (2760.48s)
Meta, there's five of them. They are
[46:02] (2762.24s)
driving results, embracing ambiguity,
[46:04] (2764.72s)
resolving conflicts, growing
[46:06] (2766.48s)
continuously, and communicating
[46:08] (2768.08s)
effectively. Every company's going to
[46:09] (2769.60s)
have different ones. They might purely
[46:11] (2771.12s)
just be the company values, and we can
[46:12] (2772.56s)
talk about that. But, for example, at
[46:14] (2774.00s)
Meta, those are not the five company
[46:15] (2775.52s)
values at at at Meta. So, you you should
[46:18] (2778.16s)
certainly talk to the recruiter and uh
[46:20] (2780.08s)
as you're having as you're preparing for
[46:21] (2781.44s)
the interview and get this rubric in
[46:23] (2783.12s)
advance. It's very important if you can
[46:24] (2784.40s)
get it or go on the internet, look for
[46:25] (2785.84s)
it. Um so these you know whatever five
[46:28] (2788.32s)
to eight things um generally they fit
[46:30] (2790.24s)
into uh a broader set of categories that
[46:32] (2792.40s)
I talk about in the book that I call
[46:33] (2793.76s)
signal areas and there's eight of them
[46:36] (2796.32s)
and so when you're uh when you're
[46:37] (2797.92s)
working on your um stories and your
[46:40] (2800.00s)
preparation you need to have um this
[46:42] (2802.32s)
rubric in front of you as you're
[46:43] (2803.60s)
thinking about your stories and then
[46:44] (2804.80s)
you're you're categorizing your stories
[46:46] (2806.24s)
based on these signal areas and then
[46:48] (2808.32s)
what you're doing inside the interview
[46:49] (2809.44s)
is this decode select deliver loop. This
[46:51] (2811.76s)
is your core operating system when
[46:53] (2813.52s)
you're inside of a a behavioral
[46:54] (2814.80s)
interview. When you're listening to a
[46:56] (2816.16s)
story, you're understanding decoding
[46:58] (2818.16s)
what this what is it why are they asking
[46:59] (2819.36s)
me this question? What is what is it
[47:01] (2821.12s)
they're interested in? And it's probably
[47:02] (2822.56s)
one of these eight areas or something
[47:04] (2824.08s)
related to their um to their uh company
[47:06] (2826.88s)
values. And so if you can identify that,
[47:09] (2829.20s)
then you can select a story which is
[47:10] (2830.80s)
appropriate and fits that you know
[47:12] (2832.72s)
delivers the kind of signal that the
[47:13] (2833.92s)
interviewer is looking for and then you
[47:15] (2835.04s)
can deliver that in some kind of
[47:16] (2836.24s)
engaging way. And that's your core loop.
[47:17] (2837.84s)
Decode, select, deliver. So it is really
[47:20] (2840.00s)
important that you understand what these
[47:21] (2841.36s)
rubrics are. Oftentimes a recruiter will
[47:22] (2842.96s)
give it to you. Um and at a smaller
[47:25] (2845.52s)
company it's a lot harder. They they may
[47:26] (2846.88s)
not have thought about this at all. They
[47:28] (2848.08s)
may not have structured their uh their
[47:30] (2850.88s)
uh you know their behavioral interview
[47:33] (2853.12s)
process with any kind of rubric. So
[47:35] (2855.04s)
there I think you rely on company
[47:36] (2856.40s)
values. You also rely on conversations
[47:38] (2858.00s)
with the recruiter. Usually at smaller
[47:40] (2860.08s)
places you may have even talked to
[47:41] (2861.20s)
somebody on the team before you get to
[47:42] (2862.40s)
the behavioral interview. And I think
[47:43] (2863.68s)
you should ask them questions like what
[47:45] (2865.28s)
makes engineers successful in your
[47:46] (2866.88s)
company? what do you look for in the
[47:48] (2868.32s)
hiring process? And then take that and
[47:50] (2870.32s)
build your own little sense of of what's
[47:52] (2872.08s)
valuable for that company and then use
[47:53] (2873.36s)
that as you're as you're going through
[47:54] (2874.72s)
your decode, select, deliver loop.
[47:57] (2877.12s)
>> That that decode part is so important
[48:00] (2880.16s)
because um I mean I've also been an
[48:03] (2883.04s)
interviewer for hundreds of interviews.
[48:05] (2885.60s)
Uh I did a bunch of engineering
[48:07] (2887.44s)
management interviews as well. And it's
[48:10] (2890.96s)
interesting is a lot of candidates I
[48:13] (2893.68s)
feel they would tell me something and I
[48:16] (2896.16s)
I would I'm looking for a signal and I
[48:18] (2898.08s)
ask a very targeted question. I say can
[48:20] (2900.48s)
you tell me about this and then they
[48:23] (2903.44s)
don't they don't get and they they talk
[48:25] (2905.52s)
past it or they continue on their their
[48:28] (2908.32s)
spiel and you're you're missing
[48:30] (2910.40s)
opportunity. I help me please help me
[48:32] (2912.88s)
fill this out. I'm I got a blank spot
[48:34] (2914.96s)
here I'm trying to fill out. I asked you
[48:37] (2917.12s)
the specific thing,
[48:38] (2918.88s)
>> but you're continuing on some rehearsed
[48:40] (2920.64s)
thing. It's it's actually like a a
[48:43] (2923.12s)
mutual exercise in helping fill out this
[48:46] (2926.00s)
rubric.
[48:47] (2927.12s)
>> Um, so yeah, I think that's that's so
[48:49] (2929.12s)
important to interview to what they're
[48:51] (2931.76s)
actually
[48:52] (2932.08s)
>> and your job as the candidate is to sort
[48:54] (2934.56s)
of tell the story from a perspective
[48:56] (2936.96s)
like like you would build a trailer out
[48:58] (2938.56s)
of a movie, different trailers. Robert
[48:59] (2939.84s)
Hamilton the PM behavioral coach talks
[49:01] (2941.76s)
about this and he says like well this
[49:03] (2943.12s)
this movie this movie may have some
[49:04] (2944.48s)
action parts may have some romance parts
[49:06] (2946.24s)
right and you can sort of remix the
[49:08] (2948.00s)
trailer in different ways to see what
[49:09] (2949.60s)
this movie is right and it's the same
[49:11] (2951.20s)
way with these stories so when you have
[49:12] (2952.56s)
a story uh it may have a part about
[49:14] (2954.56s)
ambiguity it may have a part about
[49:16] (2956.40s)
communication it may have a part about
[49:18] (2958.32s)
conflict resolution and so you can take
[49:20] (2960.24s)
the same story and in fact you probably
[49:22] (2962.56s)
should take the same story like I said
[49:23] (2963.76s)
earlier you should identify what are
[49:25] (2965.20s)
those core stories the stories you
[49:26] (2966.56s)
really want to get out and be able to
[49:28] (2968.24s)
build a a movie trailer which sort of
[49:30] (2970.08s)
fits the question uh that they're asking
[49:32] (2972.08s)
about and you need to do that early
[49:33] (2973.52s)
right to your point. So it can't be that
[49:35] (2975.36s)
in 3 five minutes in that then we're
[49:36] (2976.96s)
starting to get to the ambiguity part
[49:38] (2978.40s)
that the person asked about ambiguity.
[49:40] (2980.32s)
It needs to come up up upfront in that
[49:42] (2982.16s)
initial context setting and this is this
[49:44] (2984.24s)
is the way that um you know that you are
[49:46] (2986.64s)
internalizing you being a partner with
[49:48] (2988.72s)
the interviewer. I think people forget
[49:50] (2990.16s)
about that that like you said the
[49:52] (2992.00s)
interviewer is trying to accomplish a
[49:53] (2993.44s)
task trying to evaluate you. You need to
[49:55] (2995.84s)
be a partner in that and you need to
[49:57] (2997.20s)
help the interviewer get to the signal
[49:58] (2998.48s)
that they are looking for.
[50:00] (3000.24s)
You mentioned tailoring your stories and
[50:02] (3002.72s)
your experience to the specific values
[50:05] (3005.12s)
of the company and I was thinking what
[50:07] (3007.20s)
might be interesting we could go over uh
[50:10] (3010.08s)
some concrete examples maybe with some
[50:12] (3012.00s)
hot companies right now like OpenAI and
[50:14] (3014.64s)
Enthropic and yeah I'd be curious to
[50:17] (3017.76s)
hear what you see in their values and
[50:20] (3020.96s)
how you might mold stories to help
[50:23] (3023.84s)
people who are looking to get hired at
[50:25] (3025.52s)
these companies.
[50:27] (3027.20s)
>> Yeah. So the first thing I would say
[50:28] (3028.80s)
encourage people to do is first
[50:30] (3030.88s)
understand your stories from the
[50:32] (3032.32s)
perspective of these eight core areas
[50:34] (3034.24s)
that I talk about because most company
[50:36] (3036.08s)
values come it can be boiled down into
[50:38] (3038.24s)
these eight different areas. We could
[50:39] (3039.28s)
talk about them at some point but
[50:41] (3041.12s)
inevitably especially for newer
[50:42] (3042.56s)
companies like these AI companies
[50:44] (3044.24s)
there's some part of their company
[50:45] (3045.84s)
values that don't fit within that. So
[50:47] (3047.52s)
for example OpenAI has this one that's
[50:49] (3049.84s)
called act with humility. Really what
[50:51] (3051.60s)
that means is growth. That's my one of
[50:53] (3053.20s)
the eight areas. Do you respond well to
[50:55] (3055.52s)
feedback? you know, do you do you you
[50:57] (3057.44s)
know, are you are you seeking to improve
[50:58] (3058.88s)
yourself proving the people around you?
[51:00] (3060.48s)
That's sort of the same thing, but they
[51:02] (3062.24s)
do have one called feel the AGI, which
[51:04] (3064.88s)
is not really one of my eight areas. So,
[51:06] (3066.80s)
you'll need to understand what that
[51:07] (3067.92s)
means for them. And so, what that means
[51:09] (3069.12s)
to them is that you are very optimistic
[51:10] (3070.96s)
and positive about what AGI and what AI
[51:13] (3073.84s)
could do for the world. Now, uh uh
[51:16] (3076.96s)
Anthropic has one called hold, light,
[51:19] (3079.12s)
and shade. And really what they're
[51:20] (3080.56s)
trying to assess there is that you can
[51:22] (3082.08s)
understand both the positive and the
[51:23] (3083.76s)
negative implications of AI in the
[51:25] (3085.60s)
future. And so for me, you need to
[51:27] (3087.52s)
understand what the cultural zeitgeist
[51:29] (3089.36s)
is of this company that you can assess
[51:31] (3091.36s)
via their company values and by
[51:32] (3092.96s)
researching them before you go in. So
[51:35] (3095.04s)
how might you do that? Right? If you are
[51:36] (3096.80s)
telling a story about how you leveraged
[51:38] (3098.40s)
AI in the past to anthropic, you would
[51:40] (3100.80s)
really want to to to mention how you
[51:43] (3103.20s)
thought about the potential negative
[51:44] (3104.48s)
implications of of this of this project
[51:46] (3106.56s)
from an AI perspective. How did you go
[51:48] (3108.40s)
about mitigating those? how did you go
[51:49] (3109.68s)
about assessing those? And if they don't
[51:51] (3111.36s)
hear those things, they're not going to
[51:52] (3112.80s)
to feel comfortable about hiring you,
[51:54] (3114.56s)
hiring you. And likewise on OpenAI, if
[51:57] (3117.12s)
you are not somebody who's very AI
[51:59] (3119.20s)
forward and very much excited about
[52:01] (3121.04s)
about new domains that we can apply AI
[52:03] (3123.28s)
to, they're they're not going to be as
[52:04] (3124.48s)
interested in hiring you. So when you're
[52:06] (3126.32s)
reviewing your stories, you need to
[52:07] (3127.68s)
understand what every behavioral
[52:09] (3129.60s)
interviewer looks for. Those are those
[52:10] (3130.88s)
different those eight different areas.
[52:12] (3132.48s)
things like ownership, handling
[52:13] (3133.76s)
ambiguity, conflict resolution, the
[52:15] (3135.44s)
things that we do on a daily daily
[52:16] (3136.80s)
basis, but also mixing in um what are
[52:19] (3139.36s)
those specific things that are that are
[52:20] (3140.80s)
unique to their company.
[52:22] (3142.64s)
>> We covered how to avoid getting down and
[52:25] (3145.84s)
um but I'm I'm also curious before we
[52:28] (3148.56s)
kind of leave that kind of topic, what
[52:30] (3150.88s)
are the most common mistakes that people
[52:32] (3152.72s)
make in behavioral interviews that lead
[52:35] (3155.84s)
to worse results than they should have?
[52:38] (3158.88s)
Yeah, let's stay focused on senior
[52:40] (3160.32s)
engineers for a second because I think
[52:41] (3161.68s)
that that they are slightly different.
[52:43] (3163.44s)
Um, so the number one we talked about
[52:45] (3165.28s)
before which is inappropriate choice of
[52:47] (3167.76s)
stories. So you didn't choose stories
[52:49] (3169.36s)
that fit the appropriate scope that
[52:50] (3170.80s)
you're targeting. So that's number one.
[52:52] (3172.24s)
I would say another one is um usually as
[52:54] (3174.72s)
you're more senior you're a better
[52:55] (3175.84s)
communicator and so you might talk a
[52:57] (3177.92s)
lot. So this especially for manager
[53:00] (3180.08s)
loops oh yeah like let's be talking
[53:01] (3181.60s)
about this project and you would talk
[53:03] (3183.44s)
talk talk. This sense of giving around
[53:05] (3185.52s)
too much context u is really common and
[53:08] (3188.08s)
the and the key there is something like
[53:10] (3190.16s)
uh you should only give the kind of
[53:11] (3191.44s)
context which is required for me to
[53:12] (3192.96s)
understand the behaviors again that's
[53:14] (3194.56s)
what I'm assessing you on is the
[53:15] (3195.84s)
behaviors that you've done in the past
[53:17] (3197.60s)
and if you give me too much context
[53:19] (3199.52s)
isn't relevant for this then um then I
[53:21] (3201.76s)
you're just you're just using your own
[53:22] (3202.96s)
air time you're wasting your time and uh
[53:25] (3205.44s)
another guideline there is uh when
[53:27] (3207.68s)
you're when you even if you are talking
[53:29] (3209.20s)
about the the middle part of the project
[53:30] (3210.40s)
and what you did if it's been like 30
[53:32] (3212.32s)
seconds since you uh told me something
[53:34] (3214.64s)
that you did like some kind of action,
[53:36] (3216.00s)
you know, some kind of verb is coming
[53:37] (3217.12s)
into this conversation. If it's been
[53:38] (3218.56s)
that long, then you should rethink that
[53:40] (3220.24s)
like maybe I'm providing too much
[53:41] (3221.36s)
content, too much technical detail, too
[53:43] (3223.36s)
much backstory, too much aides, whatever
[53:46] (3226.08s)
it is, you need to keep the, you know,
[53:47] (3227.76s)
keep the keep the action coming, keep
[53:49] (3229.20s)
the work stories are just not that
[53:51] (3231.20s)
exciting. Okay, let's just be honest.
[53:52] (3232.80s)
Like Stranger Things versus like me
[53:54] (3234.64s)
listening to a behavioral interview,
[53:55] (3235.68s)
like I'd rather watch Stranger Things,
[53:56] (3236.96s)
right? So, I I think people want to want
[53:59] (3239.36s)
to be they want to see action and
[54:01] (3241.04s)
movement in the story. So keep it keep
[54:02] (3242.48s)
it moving. Another one that's really
[54:03] (3243.84s)
common for um senior engineers is
[54:06] (3246.72s)
opening themselves up to uncharitable
[54:08] (3248.48s)
interpretations and I call this one the
[54:10] (3250.40s)
opposite is thinking defensively. You
[54:11] (3251.76s)
need to think defensively. So in this in
[54:13] (3253.60s)
this kind of senior role it's very risky
[54:15] (3255.84s)
to bring people on bring leaders on.
[54:17] (3257.60s)
They have a huge impact on the team and
[54:19] (3259.52s)
so interviewers are very riskaverse. So
[54:21] (3261.60s)
if you start presenting and telling
[54:23] (3263.28s)
stories like well you know the codebase
[54:25] (3265.52s)
had a lot of technical debt so we
[54:27] (3267.20s)
decided to do X. Sounds like a great
[54:28] (3268.80s)
story right? Hey, you're you're somebody
[54:30] (3270.08s)
who solves technical debt, but if you're
[54:32] (3272.00s)
the senior engineer in the room, then
[54:33] (3273.20s)
like how did we get this technical debt,
[54:34] (3274.72s)
right? It's your fault, right? So, I
[54:36] (3276.48s)
think this kind of uh how can my stories
[54:39] (3279.20s)
be interpreted as uh unfavorable is
[54:42] (3282.40s)
really important for you to consider.
[54:44] (3284.00s)
And the the way around that um is to
[54:46] (3286.32s)
make sure that you are uh compensating
[54:49] (3289.20s)
when you're telling the the context in
[54:50] (3290.72s)
the story. So it could be that like we
[54:52] (3292.96s)
were a startup. We needed to to close
[54:55] (3295.60s)
you know our next round of funding.
[54:57] (3297.52s)
Therefore we decided to to take on this
[54:59] (3299.60s)
technical debt and then it was our role
[55:01] (3301.12s)
to solve it and I decided to prioritize
[55:02] (3302.80s)
it because XYZ. So here we are giving
[55:04] (3304.64s)
some kind of thinking or backstory or
[55:06] (3306.24s)
judgment piece to how you ended up in
[55:08] (3308.24s)
this situation. We touched on it briefly
[55:10] (3310.32s)
before but another one is is not talking
[55:12] (3312.56s)
enough about the non-technical parts of
[55:14] (3314.88s)
the work that you do. Obviously
[55:16] (3316.00s)
technical parts super important. You
[55:17] (3317.28s)
need to establish yourself as somebody
[55:18] (3318.56s)
who can solve hard technical problems.
[55:20] (3320.32s)
But if you're a senior engineer or staff
[55:22] (3322.40s)
engineer, principal engineer, a lot of
[55:24] (3324.08s)
what you do is working with people. How
[55:25] (3325.68s)
you mentored, how you organized, how you
[55:27] (3327.60s)
delegated, how you influenced the road
[55:29] (3329.36s)
map, how you resolved conflicts, how you
[55:30] (3330.96s)
worked across teams, how you managed up,
[55:32] (3332.88s)
right? So those parts of the story are
[55:34] (3334.16s)
super important. Other thing is that
[55:35] (3335.68s)
oftentimes you're telling stories that
[55:36] (3336.96s)
are very long. Okay? So you're talking
[55:38] (3338.80s)
about especially a principal engineer,
[55:40] (3340.40s)
they're telling stories that are often
[55:41] (3341.68s)
multiple years or two, three years worth
[55:43] (3343.36s)
of refactors or or some um you know
[55:46] (3346.64s)
large product build in a new product
[55:48] (3348.56s)
space. Um, so you need to have your
[55:51] (3351.20s)
stories well organized and you need to
[55:52] (3352.96s)
understand what's really important for
[55:54] (3354.16s)
the listener out of that story. So I
[55:55] (3355.84s)
recommend people have some kind of table
[55:57] (3357.36s)
of contents at the very top which
[55:59] (3359.20s)
requires you to understand what's
[56:00] (3360.24s)
important. So you could say something
[56:01] (3361.20s)
like well some business context this is
[56:02] (3362.80s)
why I'm doing this thing da d d d d d d
[56:03] (3363.60s)
d d d d d d d d d d d d d d d d d d d d
[56:03] (3363.76s)
d d d d d d d d d d d d d d and then you
[56:04] (3364.32s)
say oh yeah there are like five
[56:05] (3365.60s)
interesting parts of the story you know
[56:06] (3366.88s)
how I initiated the the the idea with
[56:09] (3369.76s)
with management how I u aligned the
[56:12] (3372.56s)
stakeholders on the technical approach
[56:14] (3374.16s)
how I solved some difficult technical
[56:15] (3375.36s)
problems and like how we did this very
[56:17] (3377.12s)
complex roll out over you know multiple
[56:18] (3378.96s)
multiple years something like that so
[56:20] (3380.48s)
now set the stage for the conversation
[56:22] (3382.88s)
and then I can tell a longer story
[56:24] (3384.64s)
keeping it organized in these different
[56:26] (3386.00s)
verticals um and it also gives me a way
[56:28] (3388.00s)
to come back to them so if I'm a a
[56:29] (3389.84s)
candidate and the interviewer is
[56:31] (3391.20s)
peppering me with follow-up questions
[56:32] (3392.48s)
and they're interrupting me, which is
[56:33] (3393.76s)
super common for these senior engineers,
[56:35] (3395.52s)
senior uh senior interviews, then I can
[56:37] (3397.76s)
always come back to, oh, you know,
[56:39] (3399.28s)
remember that part I was telling you
[56:40] (3400.32s)
about the hard technical problems like
[56:41] (3401.44s)
let me go back to that. I can then you
[56:43] (3403.12s)
can then you can bring the the listener
[56:44] (3404.80s)
back to the most important parts. So, um
[56:46] (3406.72s)
that story organization piece is is
[56:48] (3408.72s)
super um you super important for senior
[56:50] (3410.88s)
senior candidates. We didn't talk very
[56:52] (3412.88s)
much about choosing those stories and I
[56:54] (3414.72s)
did say that the most important thing is
[56:56] (3416.08s)
scope which I don't think is is is
[56:58] (3418.16s)
immediately apparent to most people
[56:59] (3419.36s)
who've thought about behavioral
[57:00] (3420.40s)
interviews. Oftentimes you would think
[57:01] (3421.68s)
well relevance is the number one thing.
[57:03] (3423.20s)
I have to tell a story which fits the
[57:05] (3425.84s)
the the question that they're asking and
[57:07] (3427.60s)
that that's very logical right but like
[57:10] (3430.00s)
I said earlier the most important thing
[57:11] (3431.04s)
is that you get out of the behavioral
[57:12] (3432.24s)
interview having told the stories that
[57:14] (3434.48s)
showcase your impact the most. So scope
[57:17] (3437.12s)
is the number one thing when you're
[57:18] (3438.40s)
choosing a story. How can you fit a big
[57:20] (3440.48s)
scope story into the question that that
[57:22] (3442.80s)
is asked? Number two is relevance.
[57:24] (3444.40s)
Obviously, you can't tell a story about
[57:26] (3446.32s)
um you know some time when that wasn't
[57:27] (3447.92s)
very ambiguous if you're being asked
[57:29] (3449.12s)
about ambiguity. Um the third thing is
[57:31] (3451.44s)
is is recency. So of course uh you know
[57:34] (3454.48s)
newer stories are more important than
[57:35] (3455.84s)
older stories. But I would rather hear a
[57:38] (3458.56s)
large scope relevant story from a senior
[57:40] (3460.88s)
engineer versus someone that's very new.
[57:42] (3462.96s)
So relevant recency is not the most
[57:44] (3464.80s)
important thing. And the guideline there
[57:46] (3466.16s)
is something like two to three years for
[57:48] (3468.24s)
sure uh is okay. Beyond 3 four years now
[57:52] (3472.64s)
you have to have a really good reason
[57:53] (3473.76s)
for telling that story. And of course
[57:55] (3475.36s)
this scale increases as you get more
[57:57] (3477.44s)
senior. So if you have a 30-year career
[57:59] (3479.36s)
then telling and you're you're applying
[58:00] (3480.80s)
for a principal role then telling a
[58:02] (3482.40s)
story from 10 years ago probably isn't
[58:03] (3483.92s)
that bad. Uh and the last one is
[58:05] (3485.84s)
uniqueness which is some some people
[58:07] (3487.20s)
don't often think about but how can I um
[58:09] (3489.92s)
tell a story that I haven't told
[58:11] (3491.44s)
already? And this becomes super
[58:13] (3493.12s)
important for uh interviews where there
[58:15] (3495.04s)
are multiple behavioral rounds where
[58:16] (3496.32s)
you're likely to tell multiple answer
[58:18] (3498.48s)
multiple tell me about a time kind of
[58:19] (3499.76s)
questions. So maybe the the question in
[58:22] (3502.32s)
the like project deep dive might not be
[58:25] (3505.28s)
the same story that you use when you're
[58:26] (3506.72s)
just asked about an ambiguous project in
[58:28] (3508.80s)
the general behavioral interview. So
[58:30] (3510.56s)
thinking about how you can balance
[58:32] (3512.08s)
uniqueness across the the portfolio of
[58:34] (3514.16s)
behavioral interviews that you're being
[58:35] (3515.44s)
given as this loop is important.
[58:37] (3517.84s)
>> And you said that scope is more
[58:39] (3519.84s)
important than relevance. Um, is it like
[58:42] (3522.88s)
let's say I'm in a behavioral interview,
[58:45] (3525.28s)
I'm I'm giving my stories and it's
[58:47] (3527.84s)
almost reminds me of a politician where
[58:49] (3529.68s)
they ask a question and I I have my
[58:52] (3532.24s)
rehearsed thing that's not exactly what
[58:54] (3534.08s)
they asked, but it's filling in the
[58:56] (3536.40s)
rubric. Is that you're saying that's
[58:58] (3538.72s)
best as opposed to saying answering
[59:00] (3540.88s)
exactly what they say. So be like a
[59:02] (3542.56s)
politician I guess is is unfortunately
[59:04] (3544.00s)
what I'm advocating that you do be
[59:06] (3546.08s)
because I think that again you want to
[59:08] (3548.08s)
to uh leave the interview having
[59:11] (3551.60s)
showcased the ways that you have
[59:13] (3553.44s)
delivered business value solved problems
[59:15] (3555.28s)
done the things you do as an engineer
[59:17] (3557.36s)
the best right and if if you just stay
[59:19] (3559.44s)
focused on answering their specific
[59:21] (3561.44s)
question for example like a question
[59:22] (3562.64s)
like tell me about the time you had a
[59:23] (3563.76s)
conflict with a product manager maybe
[59:25] (3565.36s)
you do have a story that you had a
[59:26] (3566.80s)
conflict with a product manager but
[59:28] (3568.16s)
maybe the bigger story is a conflict
[59:30] (3570.56s)
with uh with the director of engineering
[59:32] (3572.72s)
or a conflict with your direct manager.
[59:34] (3574.96s)
So what I would do is I would try to
[59:37] (3577.04s)
pivot that that story into the one that
[59:38] (3578.96s)
is is larger and um they may they may
[59:41] (3581.84s)
constrain you, you know, they may come
[59:43] (3583.12s)
back to it uh and then you're stuck
[59:44] (3584.88s)
selling the smaller story. But what I
[59:46] (3586.24s)
would do is I would showcase that you
[59:47] (3587.28s)
have this other story. So you can say
[59:48] (3588.40s)
something like I did have a conflict
[59:49] (3589.92s)
with a product manager. It involved this
[59:52] (3592.56s)
and this and I I was able to overcome
[59:54] (3594.72s)
that conflict by compromising on this.
[59:56] (3596.64s)
You know, I could tell that story, but
[59:57] (3597.92s)
there is this other story that I could
[59:59] (3599.20s)
tell about how I had to go through a
[60:00] (3600.96s)
longer conflict resolution experience
[60:02] (3602.48s)
where I had to collect data and I had to
[60:04] (3604.80s)
u you know, collect other people and we
[60:06] (3606.24s)
had to have multiple meetings about it.
[60:07] (3607.92s)
That might be a more interesting story.
[60:09] (3609.04s)
Can I tell that one? So, you can pivot
[60:10] (3610.56s)
the the the conversation focused on
[60:13] (3613.28s)
conflict resolution into a story that
[60:15] (3615.12s)
might fit fit better uh for what the
[60:17] (3617.36s)
interviewer is actually looking for. Um
[60:18] (3618.96s)
they may or may not really care about
[60:20] (3620.72s)
when you had a conflict with a product
[60:22] (3622.08s)
manager. They might just be collecting
[60:23] (3623.60s)
conflict resolution signal. Let's say
[60:26] (3626.40s)
you're in the middle of the interview
[60:27] (3627.92s)
and you're trying to figure out am I
[60:30] (3630.88s)
talking for too long or is this person
[60:32] (3632.96s)
still with me or should I am I saying
[60:35] (3635.44s)
the right things? How often should the
[60:37] (3637.92s)
interviewer be talking? How often should
[60:39] (3639.76s)
you be talking?
[60:40] (3640.56s)
>> So there are different style of
[60:41] (3641.52s)
interviewers. So some interviewers
[60:43] (3643.04s)
really are listening. I tend to be that
[60:44] (3644.48s)
that kind of person where I would uh
[60:46] (3646.24s)
interested in what I think interested in
[60:48] (3648.08s)
what you think is interesting. So, and
[60:49] (3649.60s)
I'm assessing you based on what you
[60:51] (3651.68s)
think is interesting and where you're
[60:52] (3652.88s)
taking me. And I'm getting a lot of
[60:54] (3654.32s)
communication signal out of that. Um,
[60:56] (3656.56s)
but some interviewers are not like that.
[60:58] (3658.32s)
They are they interrupt you frequently.
[61:00] (3660.08s)
They look at they want to look at pick
[61:02] (3662.00s)
out some part that you mentioned and
[61:03] (3663.36s)
like turn it over a couple times in
[61:04] (3664.64s)
their hand and then get back to you. So,
[61:06] (3666.08s)
they they may uh have a lot more
[61:07] (3667.92s)
follow-up questions. They may interrupt
[61:09] (3669.20s)
you a lot more or they may switch
[61:10] (3670.64s)
questions. They may collect a little bit
[61:12] (3672.56s)
of signal on this question and then like
[61:13] (3673.84s)
move rapidly to the other one. So, I
[61:15] (3675.20s)
think you'll figure out which kind of
[61:16] (3676.16s)
interviewer you have pretty pretty
[61:17] (3677.52s)
quickly in the in the interview and you
[61:19] (3679.04s)
should be emotionally prepared,
[61:20] (3680.32s)
especially for the second one. This
[61:21] (3681.36s)
person who interrupts you frequently can
[61:23] (3683.20s)
be uh kind of jarring for you and you
[61:24] (3684.96s)
can think, "Oh, I'm failing. I'm not
[61:26] (3686.08s)
doing the right thing." But no, you're
[61:27] (3687.28s)
just getting an interviewer who likes to
[61:28] (3688.72s)
interrupt people and likes to to to
[61:30] (3690.32s)
bounce around. Um, but to answer more
[61:32] (3692.16s)
specifically your question, I think you
[61:33] (3693.60s)
can look for signs. So, this is where
[61:34] (3694.80s)
you need to use your human part of your
[61:36] (3696.32s)
brain, not just your your sort of
[61:38] (3698.08s)
structured and organized part of your
[61:39] (3699.60s)
brain, but you need to assess like, are
[61:41] (3701.12s)
they looking at me? Are they taking
[61:42] (3702.32s)
notes? Are they do any kind of
[61:44] (3704.00s)
indication that they're that they're
[61:45] (3705.20s)
engaged? And if you notice some lack of
[61:47] (3707.12s)
engagement, then I would pause and ask
[61:48] (3708.48s)
them, is this what you're looking for?
[61:50] (3710.24s)
This is what I was about to say. Like,
[61:51] (3711.60s)
is that still relevant? And give them
[61:53] (3713.04s)
this opportunity. Can a good interviewer
[61:56] (3716.00s)
is willing to interrupt you? A good
[61:57] (3717.36s)
interviewer, a calibrated interviewer,
[61:58] (3718.80s)
someone who is is confident in what
[62:00] (3720.08s)
they're doing. They will be a little
[62:01] (3721.52s)
rude to you because they are look again,
[62:03] (3723.28s)
they are looking to acquire that signal
[62:04] (3724.88s)
and they are willing to go through a
[62:06] (3726.32s)
little bit of social awkwardness in
[62:07] (3727.52s)
order to acquire it. But some
[62:08] (3728.64s)
interviewers aren't that good. And so
[62:10] (3730.40s)
you need to make that easy for them to
[62:12] (3732.40s)
be able to stop you. Which is why I
[62:14] (3734.00s)
recommend not talking for more than um
[62:16] (3736.40s)
you know 2 to 4 minutes. If you're over
[62:18] (3738.56s)
if you're talking for more than four
[62:19] (3739.84s)
minutes, 5 minutes, you got to be really
[62:21] (3741.84s)
good at at giving a monologue like that.
[62:23] (3743.76s)
It better be really interesting for the
[62:25] (3745.28s)
for the listener and you probably you
[62:27] (3747.20s)
probably should know what you're doing
[62:28] (3748.16s)
if you're talking for that level of
[62:31] (3751.36s)
>> When it comes to interview prep, I mean,
[62:33] (3753.12s)
a lot of what you said sounds like
[62:35] (3755.36s)
there's a difference between the levels.
[62:37] (3757.78s)
[snorts] Senior engineers make different
[62:40] (3760.24s)
mistakes than junior engineers. Um, and
[62:43] (3763.20s)
I imagine the the weight of the
[62:45] (3765.44s)
behavioral interviews importance differs
[62:47] (3767.92s)
across the level. Sounds like as you get
[62:49] (3769.60s)
higher up and higher up there's they add
[62:51] (3771.52s)
extra behavioral interviews. Um, so I'm
[62:54] (3774.88s)
thinking if if someone was preparing for
[62:56] (3776.88s)
interviews across those highlevel
[63:00] (3780.00s)
buckets, how would you recommend they
[63:01] (3781.92s)
they split up their interview prep time
[63:04] (3784.48s)
across coding, system design, and
[63:06] (3786.88s)
behavioral?
[63:08] (3788.48s)
>> Most people are spending way too much
[63:09] (3789.76s)
time on coding and not enough time on
[63:11] (3791.68s)
system design and behavioral interviews
[63:13] (3793.36s)
because those are the more murky ones to
[63:14] (3794.72s)
prepare for. However, I will say that
[63:16] (3796.72s)
junior engineers, your the most
[63:18] (3798.24s)
important signal is going to be
[63:19] (3799.20s)
technical. So, making sure that you that
[63:20] (3800.88s)
you nail those coding interviews,
[63:22] (3802.40s)
nailing the system design interview is
[63:24] (3804.24s)
going to be the most important. And then
[63:25] (3805.36s)
the behavioral interview, the the key to
[63:27] (3807.44s)
focus on is um your your thinking, your
[63:30] (3810.08s)
motivations, your because you may not
[63:31] (3811.52s)
have a ton of of accomplishments to to
[63:33] (3813.44s)
lean on there, but you can lean on what
[63:35] (3815.20s)
you thought about or like why kind of
[63:36] (3816.80s)
ideas you had or things that you tried,
[63:38] (3818.64s)
maybe they didn't work. So, those kinds
[63:40] (3820.16s)
of um like signals of what my future
[63:42] (3822.48s)
performance could be or my future impact
[63:43] (3823.92s)
is going to be be super important for
[63:45] (3825.60s)
for junior engineers. For uh mid-level
[63:48] (3828.16s)
engineers, I think you need a balance. I
[63:50] (3830.32s)
I would say that um AI is changing this
[63:52] (3832.48s)
game. In the past, I think you could
[63:53] (3833.76s)
still have focused even as a mid-level
[63:55] (3835.52s)
engineer only on the technical parts and
[63:57] (3837.12s)
just make sure that you didn't flub the
[63:58] (3838.32s)
behavioral. I don't think that world is
[64:00] (3840.32s)
exists anymore. Number one, there are so
[64:02] (3842.08s)
many candidates in the market with so
[64:03] (3843.68s)
many layoffs recently that you need to
[64:05] (3845.20s)
shine across all different interview
[64:06] (3846.72s)
types. And the second thing I would say
[64:08] (3848.24s)
is more and more of that technical work
[64:10] (3850.16s)
is being done, you know, by an agentic
[64:12] (3852.16s)
coding experience. And so we are looking
[64:13] (3853.92s)
for mid-level engineers who can own
[64:15] (3855.60s)
problems end to end. And how do you see
[64:17] (3857.52s)
that kind of ownership? You're going to
[64:18] (3858.56s)
see that in the behavioral. We need
[64:19] (3859.92s)
mid-level engineers who are excited
[64:22] (3862.08s)
about growing and learning new things
[64:23] (3863.44s)
because the technology and the approach
[64:24] (3864.88s)
to engineering is changing so rapidly.
[64:26] (3866.80s)
And how are you going to assess that?
[64:28] (3868.16s)
It's going to be assessed in the in the
[64:29] (3869.52s)
behavioral interview. So I would I would
[64:31] (3871.36s)
balance more balance your time. Right?
[64:32] (3872.80s)
The beginning part of the interview
[64:34] (3874.24s)
process like we talked about before is
[64:35] (3875.68s)
often some kind of coding assessment. So
[64:37] (3877.60s)
you need to get your coding interviewing
[64:39] (3879.28s)
practice in early. But um you know once
[64:41] (3881.92s)
you get that on-site schedule or ideally
[64:43] (3883.60s)
even before that some weeks before that
[64:45] (3885.36s)
you have spent some time thinking about
[64:46] (3886.64s)
your behavioral questions. You've spent
[64:48] (3888.32s)
some time identifying the core uh
[64:50] (3890.08s)
stories from your past that you'd like
[64:51] (3891.36s)
to tell. You've looked at their their
[64:53] (3893.20s)
values. You've looked at the rubric that
[64:54] (3894.48s)
you find for the behavioral interview.
[64:55] (3895.92s)
You've made sure that you have some
[64:57] (3897.20s)
stories that fit each one of those uh
[64:59] (3899.20s)
key areas that they're going to be
[65:00] (3900.24s)
asking you about. And then once you get
[65:02] (3902.16s)
to senior and above, a lot of it's going
[65:04] (3904.08s)
to come down to the behavioral
[65:05] (3905.12s)
interview. So, like I said before, first
[65:06] (3906.88s)
thing I would do when I would look at at
[65:08] (3908.64s)
a at a staff level packet is I would go
[65:10] (3910.48s)
to the behavioral interview. There just
[65:12] (3912.64s)
aren't that many different ways to
[65:14] (3914.24s)
design like a web crawler in a system
[65:16] (3916.24s)
design interview or aren't that many
[65:17] (3917.76s)
ways to solve twosome in a coding
[65:19] (3919.36s)
interview such that I could see whether
[65:20] (3920.80s)
or not someone is a staff level or just
[65:23] (3923.36s)
a senior level. And I would go directly
[65:25] (3925.04s)
to the behavioral interview to see what
[65:27] (3927.20s)
the uh organizational impact is, what
[65:29] (3929.84s)
their level of influence is on others,
[65:31] (3931.36s)
how they resolve conflict. I would look
[65:33] (3933.04s)
to see uh what scope of projects they've
[65:35] (3935.20s)
they've been able to to accomplish and
[65:37] (3937.20s)
what what level of business impact
[65:38] (3938.48s)
they've been able to deliver and that
[65:40] (3940.08s)
would be my how I would determine
[65:41] (3941.84s)
whether or not they're really truly a
[65:43] (3943.28s)
staff engineer and like you mentioned at
[65:44] (3944.88s)
that that um you know super senior like
[65:47] (3947.12s)
staff plus kind of principal
[65:48] (3948.88s)
distinguished level they're adding
[65:50] (3950.32s)
additional behavioral interviews and
[65:51] (3951.76s)
oftentimes they're looking at specific
[65:52] (3952.88s)
things things like uh how you work
[65:54] (3954.96s)
crossf functionally with uh with
[65:56] (3956.32s)
partners they may give you a PM for
[65:57] (3957.68s)
example or another person from a a cross
[66:00] (3960.48s)
functional partner that will interview
[66:02] (3962.08s)
you and see how you work with others. Or
[66:03] (3963.92s)
they're going to be wanting to to get
[66:05] (3965.60s)
more information about one of your
[66:06] (3966.72s)
bigger stories, one of your bigger
[66:08] (3968.40s)
projects. So, they're going to give you
[66:09] (3969.44s)
some kind of project deep dive interview
[66:11] (3971.60s)
where you walk them through some
[66:13] (3973.44s)
technical and organizational challenge
[66:15] (3975.28s)
that you've solved in the past. And so,
[66:17] (3977.36s)
those become the differentiators and the
[66:19] (3979.12s)
the technical ones become kind of like
[66:21] (3981.36s)
uh check marks like you have to pass,
[66:22] (3982.80s)
you have to get over the bar, but really
[66:24] (3984.40s)
what's going to get you hired is going
[66:25] (3985.68s)
to be shining on those behavioral sides.
[66:27] (3987.68s)
So, certainly a slide I would say that
[66:29] (3989.68s)
most people underinvest in behavioral
[66:31] (3991.20s)
interview. So, uh, it's probably going
[66:33] (3993.12s)
to take you at least a few weeks to to,
[66:36] (3996.08s)
um, to perform well. And if you are at
[66:38] (3998.24s)
that staff or above, I would say, you
[66:40] (4000.40s)
know, start start when you start doing
[66:42] (4002.40s)
your leak code, [laughter] right? Start
[66:44] (4004.80s)
thinking about those past stories, start
[66:46] (4006.96s)
working on how you position them, get
[66:48] (4008.56s)
some feedback. Um, go do some mock
[66:50] (4010.56s)
interviews at least with a friend, if
[66:51] (4011.92s)
not with a professional. Um, and
[66:53] (4013.76s)
especially if you're going to be uh
[66:55] (4015.12s)
applying for a fang or or uh you know,
[66:57] (4017.84s)
open eye or anthropic, one of these big
[66:59] (4019.76s)
companies that's very in demand, I would
[67:01] (4021.52s)
try to find somebody who is calibrated
[67:03] (4023.60s)
uh at that company who can give you a
[67:05] (4025.04s)
mock interview and give you that that
[67:06] (4026.72s)
squishy cultural sense that we were
[67:08] (4028.24s)
talking about earlier and and reflect
[67:09] (4029.68s)
back to you whether or not you're
[67:10] (4030.64s)
hitting the right cultural notes.
[67:13] (4033.36s)
when you were in uh hiring committees in
[67:15] (4035.68s)
the past for maybe more senior
[67:17] (4037.68s)
candidates, when you have a candidate
[67:20] (4040.24s)
who does okay on the technical sides but
[67:24] (4044.32s)
really kills it on behavioral, is that
[67:26] (4046.88s)
the type of packet that could go through
[67:28] (4048.72s)
at the highest levels?
[67:31] (4051.68s)
um for certainly at the highest levels
[67:33] (4053.76s)
definitely if there's a place where
[67:35] (4055.12s)
you're going to flub a coding interview
[67:36] (4056.40s)
and be okay I think that staff or or
[67:38] (4058.88s)
principal level or manager level those
[67:40] (4060.96s)
places where we just don't expect you to
[67:42] (4062.64s)
be doing as much day-to-day coding and
[67:44] (4064.24s)
so we would would discount poor
[67:46] (4066.08s)
performances in those in those
[67:47] (4067.44s)
interviews for sure I think it's much
[67:49] (4069.12s)
harder to do that um uh at the junior
[67:51] (4071.52s)
levels I will say that I had I had a
[67:53] (4073.60s)
candidate that I did the behavioral for
[67:55] (4075.44s)
and uh this candidate was uh had not
[67:58] (4078.08s)
accomplished a ton in their career um
[68:00] (4080.40s)
the the the technical things were just
[68:02] (4082.64s)
okay. But I kept seeing glimpses of uh
[68:06] (4086.32s)
you know ideas that this candidate had
[68:07] (4087.92s)
had that maybe they weren't able to
[68:09] (4089.28s)
execute on or the manager didn't agree
[68:10] (4090.80s)
or they couldn't get it done in their
[68:12] (4092.00s)
organization but they kept thinking
[68:13] (4093.20s)
about things and I said now this person
[68:14] (4094.88s)
is just has so much like potential in
[68:17] (4097.04s)
this person's career that I I pushed for
[68:18] (4098.96s)
that person to be hired and that person
[68:20] (4100.16s)
ended up um being a staff person
[68:22] (4102.08s)
eventually and I think that that was a
[68:24] (4104.48s)
good indication that um you know there
[68:26] (4106.32s)
is a there is like a there's a slope
[68:28] (4108.08s)
that we're trying to assess and the
[68:29] (4109.76s)
slope is often assessed there in that
[68:31] (4111.52s)
behavioral interview even for junior
[68:33] (4113.36s)
folks.
[68:34] (4114.40s)
>> We talked about some of the subjectivity
[68:37] (4117.04s)
in in this type of interview and talking
[68:40] (4120.16s)
about how you talk about the the scope
[68:42] (4122.64s)
of your work and all of those things
[68:44] (4124.64s)
that kind of help you with leveling
[68:46] (4126.08s)
conversation. But also another part of
[68:48] (4128.40s)
subjectivity is just how much does this
[68:50] (4130.96s)
person like you and their their bias
[68:53] (4133.28s)
towards you based off of a lot of the
[68:55] (4135.52s)
soft influence you might have as you
[68:57] (4137.44s)
speak to them. And so I'm curious how
[68:59] (4139.68s)
much influence do you think that has on
[69:01] (4141.52s)
the outcome of the interview?
[69:03] (4143.28s)
>> It scales exactly with with uh with
[69:05] (4145.60s)
level. So with a more junior candidate,
[69:07] (4147.92s)
I think that um at least at a big
[69:09] (4149.84s)
company where they've spent some time
[69:11] (4151.04s)
structuring these behavioral interviews
[69:12] (4152.72s)
and they're trying to reduce this kind
[69:14] (4154.32s)
of do I just want to have a beer, you
[69:15] (4155.92s)
know, with this person kind of vibe that
[69:17] (4157.60s)
that they're that they're collecting.
[69:18] (4158.96s)
They're trying to reduce that by
[69:20] (4160.08s)
structuring it and making uh giving the
[69:22] (4162.00s)
the interviewer some sort of form to
[69:23] (4163.76s)
fill out or some clarifying what's
[69:25] (4165.84s)
what's important in the hiring decision.
[69:27] (4167.52s)
But as you get more senior um now
[69:29] (4169.68s)
they're expecting you to influence other
[69:31] (4171.60s)
people on the job and that so they'll
[69:33] (4173.20s)
how you come across in the meeting. Are
[69:35] (4175.20s)
you confident? Are you comfortable? Are
[69:36] (4176.96s)
you able to uh hold on to this kind of
[69:39] (4179.36s)
like casual casual excellence? Right?
[69:42] (4182.00s)
Which I think is a very much a a quality
[69:43] (4183.84s)
a cultural quality that that u that
[69:45] (4185.68s)
Silicon Valley has in particular. this
[69:47] (4187.44s)
idea that I can kind of show up and I
[69:49] (4189.60s)
look cool and I look not look cool but I
[69:51] (4191.68s)
look calm but yet I'm still very
[69:54] (4194.24s)
competent and can sharply discuss things
[69:56] (4196.40s)
and deliver things. I think they are
[69:58] (4198.40s)
looking for that kind of signal and um
[70:00] (4200.40s)
it's it's definitely subjective and so I
[70:02] (4202.72s)
think your your ability to connect with
[70:04] (4204.56s)
the interviewer in the first few
[70:06] (4206.00s)
minutes. If you come in and you're
[70:07] (4207.68s)
disheveled or you come in and you're
[70:09] (4209.28s)
nervous and you're not able to be
[70:11] (4211.20s)
present in the meeting, well, that's
[70:13] (4213.84s)
part of the signal they're acquiring
[70:15] (4215.04s)
because you're going to have to show up
[70:15] (4215.84s)
in meetings and and and be, you know,
[70:17] (4217.68s)
put together and be confident and and be
[70:19] (4219.76s)
able to stand in front of the CEO and
[70:21] (4221.84s)
deliver um you know, deliver good news
[70:23] (4223.76s)
or bad news or ask some questions or
[70:25] (4225.36s)
whatever. they are looking for somebody
[70:26] (4226.88s)
who will do a good job with that and
[70:28] (4228.24s)
they're you know this is a high pressure
[70:30] (4230.08s)
situation an interview you're going to
[70:32] (4232.08s)
be in a high pressure situation at work
[70:33] (4233.36s)
and they're assessing you there as well
[70:35] (4235.04s)
so um I think this is where you need to
[70:37] (4237.36s)
understand the cultural expectations of
[70:38] (4238.80s)
your companies that you're that you're
[70:40] (4240.56s)
uh that you're applying for different
[70:42] (4242.32s)
countries have different expectations
[70:43] (4243.68s)
around leadership and and hierarchy and
[70:45] (4245.76s)
how they approach things um I think
[70:47] (4247.60s)
we're talking mostly about like a US-
[70:50] (4250.48s)
centered kind of Silicon Valley centered
[70:53] (4253.04s)
or you know associated places Seattle
[70:55] (4255.04s)
New those kinds of culture and that
[70:56] (4256.56s)
place is one of u we need to be able to
[70:58] (4258.80s)
start the meeting with some kind of
[71:00] (4260.24s)
playful banter you know and then we
[71:02] (4262.72s)
continue with like hard-hitting pieces
[71:04] (4264.72s)
but sometimes I I'm I'm self-deprecating
[71:06] (4266.80s)
and I kind of pow of that and we laugh
[71:08] (4268.48s)
about a few things but then we're back
[71:09] (4269.60s)
in it and we're doing this like intense
[71:11] (4271.20s)
thing so that's super common for uh for
[71:13] (4273.36s)
for those environments other countries
[71:15] (4275.84s)
other companies they may have different
[71:17] (4277.28s)
expectations I think you need to
[71:18] (4278.32s)
understand what those are before you go
[71:20] (4280.08s)
>> let's say someone is maybe a staff
[71:22] (4282.16s)
engineer they're not necessarily the
[71:24] (4284.16s)
most they wouldn't describe themselves
[71:25] (4285.76s)
as a people person, but they want to
[71:28] (4288.24s)
come off strong in that interview. How
[71:30] (4290.88s)
would you reverse engineer how to
[71:33] (4293.76s)
represent yourself strongly in terms of
[71:35] (4295.36s)
all those soft influence type of things?
[71:38] (4298.56s)
>> So the first thing I say is that the
[71:39] (4299.92s)
inside always comes out on the outside.
[71:41] (4301.36s)
Okay, I know you don't want to hear
[71:42] (4302.32s)
that, but the reality is what you
[71:44] (4304.16s)
believe about yourself, what you believe
[71:45] (4305.60s)
about others really changes how you
[71:47] (4307.76s)
present yourself. So the first thing I
[71:49] (4309.28s)
would say is it is not just some like
[71:51] (4311.44s)
list of things that we need to do or a
[71:53] (4313.12s)
checkbox stuff that you kind of put on.
[71:54] (4314.72s)
It's not a mask that you put on. You
[71:56] (4316.64s)
need to change your your internal
[71:57] (4317.84s)
beliefs. And um uh Sam Lesson has this
[72:00] (4320.72s)
this book he just released about Silicon
[72:02] (4322.56s)
Valley etiquette and he did this podcast
[72:04] (4324.88s)
recently where he talks about the
[72:06] (4326.32s)
importance of lowering your own heart
[72:08] (4328.16s)
rate before you go into the
[72:09] (4329.36s)
conversation. So yes, this might be your
[72:11] (4331.92s)
like one and only shot at this job. It's
[72:13] (4333.84s)
possible. oftentimes that's less the
[72:15] (4335.92s)
case than than most than most candidates
[72:18] (4338.00s)
believe. So sometimes we think like,
[72:19] (4339.20s)
"Oh, this is my one shot at getting this
[72:20] (4340.80s)
company." Well, if the company's going
[72:22] (4342.00s)
to be around for a while, you probably
[72:23] (4343.28s)
have other shots. So don't put so much
[72:24] (4344.88s)
pressure on yourself. I know it's hard,
[72:26] (4346.24s)
but it that is the reality. You need to
[72:27] (4347.92s)
tell yourself, give yourself an internal
[72:30] (4350.00s)
belief structure that makes it okay for
[72:32] (4352.08s)
you to make mistakes in this
[72:33] (4353.12s)
environment. You will come across a lot
[72:34] (4354.40s)
more calm. The second thing I say is try
[72:39] (4359.28s)
try to understand what and be empathetic
[72:41] (4361.28s)
of the other person. So again, this is
[72:42] (4362.80s)
an internal thing. believe that the
[72:44] (4364.56s)
other person is looking for a great
[72:46] (4366.96s)
engineer, a great manager, whatever it
[72:48] (4368.40s)
is, whatever the role that you're
[72:49] (4369.28s)
applying for, they're looking for
[72:50] (4370.08s)
somebody who's going to do really
[72:50] (4370.96s)
awesome. They really want they want to
[72:52] (4372.24s)
find that person. They're spending their
[72:54] (4374.40s)
time interviewing you. They really want
[72:56] (4376.16s)
to find somebody who's great. And um
[72:58] (4378.16s)
they're not just looking to nitpick you
[72:59] (4379.76s)
and like throw you out and and judge
[73:01] (4381.36s)
you, right? So, I think this kind of
[73:03] (4383.20s)
internal belief where you believe, you
[73:04] (4384.64s)
know, this person is is is not my enemy.
[73:07] (4387.12s)
This person is is is is a human doing
[73:10] (4390.32s)
their job. I would love to do my job
[73:11] (4391.76s)
alongside this person. let's have this
[73:13] (4393.60s)
great conversation. So that's the first
[73:15] (4395.04s)
thing you have to start start on the
[73:16] (4396.64s)
inside. Um if we are looking for other
[73:19] (4399.20s)
things then I would say how you show up
[73:21] (4401.68s)
physically. So what you're wearing you
[73:23] (4403.28s)
know go that like one notch above that's
[73:25] (4405.04s)
classic interview advice. Uh what's in
[73:28] (4408.40s)
your background so you know how how does
[73:30] (4410.48s)
your room appear when you're doing a
[73:31] (4411.92s)
video call especially um how are you uh
[73:36] (4416.16s)
how are you expressing care and interest
[73:37] (4417.76s)
in the person in the first few minutes
[73:39] (4419.20s)
of the meeting. So, if you're just if
[73:40] (4420.88s)
you come in and you're just waiting for
[73:42] (4422.00s)
the other person to say something, uh
[73:43] (4423.92s)
this is a very taking a very passive
[73:45] (4425.44s)
role and you're showcasing that um you
[73:47] (4427.52s)
know, maybe you're not ready for these
[73:48] (4428.88s)
kinds of of more active uh roles where I
[73:51] (4431.76s)
need you to build relationships with
[73:52] (4432.88s)
other people. Show me that you can be
[73:54] (4434.48s)
you may not be like the most extroverted
[73:56] (4436.32s)
person, but you probably do value people
[73:58] (4438.32s)
in some way. Like people are probably
[73:59] (4439.52s)
important to you. You know, your mom is
[74:00] (4440.96s)
important to you, maybe your significant
[74:02] (4442.16s)
other is important this there. People
[74:03] (4443.36s)
are important to you. And so, let that
[74:05] (4445.04s)
come across in that first few minutes.
[74:06] (4446.40s)
Hi, how are you? I'm doing good. you
[74:07] (4447.60s)
know, or I you know, I'm I'm interested
[74:09] (4449.28s)
in in I'm really excited to be here.
[74:10] (4450.88s)
Right? You can express enthusiasm even
[74:12] (4452.80s)
if you're uh you know, not the most
[74:14] (4454.96s)
extroverted person. So, those first few
[74:17] (4457.12s)
moments, the the brain is really looking
[74:19] (4459.04s)
at that like kind of just figuring out
[74:21] (4461.84s)
is this the kind of person I want to be
[74:23] (4463.36s)
with? And you're making a lot of they're
[74:24] (4464.64s)
making a lot of split split-second
[74:26] (4466.00s)
decisions. And so, how you show up in
[74:27] (4467.76s)
those first few minutes um are
[74:29] (4469.20s)
important. Practice that. Practice that
[74:30] (4470.72s)
with your mock interviewers. Don't just
[74:32] (4472.48s)
jump right into the questions. practice
[74:34] (4474.48s)
that kind of you know uh early early
[74:37] (4477.20s)
part make the other person feel
[74:38] (4478.48s)
comfortable sometimes the interviewer is
[74:40] (4480.56s)
is nervous too actually giving a
[74:42] (4482.32s)
behavioral interview is quite
[74:43] (4483.20s)
complicated quite difficult I would say
[74:44] (4484.96s)
it is hard to engage the person in some
[74:47] (4487.52s)
meaningful way ask relevant follow-up
[74:49] (4489.28s)
questions but making sure that you're
[74:50] (4490.40s)
collecting the information that you want
[74:51] (4491.60s)
to collect also making them feel
[74:53] (4493.20s)
comfortable so that they give you the
[74:54] (4494.56s)
best signal also you the behavioral
[74:56] (4496.48s)
interviewer sometimes the hiring manager
[74:58] (4498.00s)
or the or some kind of leader in the
[74:59] (4499.52s)
organization and so how they are coming
[75:01] (4501.04s)
across in the meeting is is is affecting
[75:02] (4502.64s)
the candidates
[75:03] (4503.68s)
uh perception of the company and a
[75:05] (4505.20s)
perception of the team. So, you know,
[75:06] (4506.72s)
have some empathy for that for that
[75:07] (4507.92s)
person who's given this behavioral
[75:08] (4508.96s)
interview. Make them feel comfortable.
[75:10] (4510.48s)
Make them feel like you're you're you're
[75:11] (4511.92s)
at ease. Um how you do that is by
[75:15] (4515.36s)
changing first what you believe about
[75:16] (4516.96s)
the about the situation.
[75:18] (4518.80s)
>> Who do you think would perform better on
[75:21] (4521.60s)
average in a behavioral interview?
[75:23] (4523.44s)
Someone who is extremely curt.
[75:29] (4529.12s)
They everything you ask them, they give
[75:30] (4530.96s)
you the right words really concisely,
[75:34] (4534.80s)
great stories, but they're they're very
[75:36] (4536.80s)
they're not there to be your friend.
[75:38] (4538.00s)
They're they're kind of cold and they're
[75:39] (4539.92s)
silent and they wait till you ask a
[75:41] (4541.84s)
question. Follow-up questions. They say
[75:44] (4544.40s)
no follow-up questions. Okay. Um, thank
[75:46] (4546.72s)
you for your time. Or someone who's very
[75:49] (4549.84s)
warm and bubbly and, oh, how's your day?
[75:52] (4552.64s)
Okay, let's get into this. Oh, I hope I
[75:54] (4554.32s)
do well. and they kind of build some
[75:56] (4556.48s)
rapport with you and then they they do
[75:59] (4559.84s)
so so on the the actual stories
[76:02] (4562.32s)
themselves across the body of people who
[76:05] (4565.36s)
conduct behavioral interviews. Which one
[76:07] (4567.92s)
do you think would do better on average?
[76:09] (4569.76s)
>> Well, that's the key. Who conducts the
[76:11] (4571.76s)
interview? So, if I'm conducting the
[76:13] (4573.28s)
interview, the second person will
[76:14] (4574.40s)
probably be doing better because I I
[76:16] (4576.64s)
like to engage. You might have might
[76:18] (4578.08s)
have noticed that, right? I want to to
[76:19] (4579.68s)
get those more people sides. So this is
[76:21] (4581.76s)
where when you say building rapport,
[76:23] (4583.44s)
building rapport doesn't mean that
[76:24] (4584.56s)
you're bubbly. Building rapport means
[76:26] (4586.08s)
that you are connected to the other
[76:27] (4587.28s)
person. So um you need to understand in
[76:29] (4589.60s)
that first few minutes like what kind of
[76:31] (4591.12s)
person is this? Is this a person who
[76:33] (4593.44s)
wants to be more business-like and wants
[76:35] (4595.04s)
to assess uh things in a more you know
[76:37] (4597.28s)
cold and calculating way? Fine. That's
[76:38] (4598.88s)
okay. Or is this person you know
[76:41] (4601.04s)
somebody who will kind of chop it up
[76:42] (4602.56s)
with me in the first in the first few
[76:44] (4604.00s)
minutes? So um I think you can you
[76:45] (4605.84s)
should start on a positive note. I think
[76:47] (4607.20s)
you should start energetic. you should
[76:48] (4608.48s)
start um uh you know uh believing that
[76:51] (4611.68s)
with some excite showing excitement to
[76:53] (4613.60s)
be there but respond to the other person
[76:55] (4615.52s)
and how they uh you know how they
[76:57] (4617.36s)
present themselves. They may um for
[76:59] (4619.68s)
example if this is someone who doesn't
[77:00] (4620.96s)
even ask you for an introduction doesn't
[77:02] (4622.24s)
even ask you for tell me about yourself.
[77:03] (4623.92s)
They may jump into tell me about a time
[77:05] (4625.76s)
when you had an ambiguous problem. Well,
[77:07] (4627.20s)
you know exactly who you're getting now
[77:08] (4628.24s)
and somebody who just wants to go down
[77:09] (4629.60s)
the list and and and and bang out the
[77:11] (4631.76s)
signal and and be very efficient. And so
[77:13] (4633.92s)
you need to to match that and be very
[77:15] (4635.44s)
efficient with what you what you say.
[77:17] (4637.28s)
But if the person starts two or three
[77:18] (4638.96s)
minutes of weather, sports, you know, uh
[77:22] (4642.64s)
how you feeling, how's the rest of the
[77:24] (4644.16s)
interviews going? Like, you know, you
[77:25] (4645.36s)
have a different kind of person that
[77:26] (4646.40s)
you're talking to. And so, you need to
[77:27] (4647.76s)
match their energy.
[77:29] (4649.90s)
[snorts]
[77:30] (4650.08s)
>> When it comes to these subjective parts
[77:32] (4652.08s)
of the the interview experience, what do
[77:34] (4654.48s)
you think is more important, the first
[77:36] (4656.08s)
impression or the last impression?
[77:39] (4659.07s)
[laughter]
[77:40] (4660.96s)
>> Do we have to choose? Like, why do we
[77:42] (4662.24s)
have to choose? So, let's let's do let's
[77:44] (4664.24s)
knock it out on the beginning and the
[77:45] (4665.76s)
end. But if I'm forced to choose, I
[77:47] (4667.28s)
would say the beginning. I think most of
[77:48] (4668.72s)
the time I am making a decision within
[77:50] (4670.32s)
the first 101 15 minutes of the
[77:52] (4672.24s)
interview about whether I'm going to
[77:53] (4673.36s)
hire the person. And it's because I have
[77:56] (4676.16s)
been asking usually my biggest scope
[77:57] (4677.92s)
questions. Tell me about your favorite
[77:58] (4678.96s)
project. Tell me about your most
[78:00] (4680.16s)
ambiguous project. Tell me about
[78:01] (4681.20s)
something that you're really proud of.
[78:02] (4682.32s)
And then I'm seeing what they're saying.
[78:03] (4683.76s)
And if I would like to have that kind of
[78:06] (4686.56s)
performance replicated in my
[78:07] (4687.68s)
organization, then the rest of the
[78:09] (4689.28s)
interview is more like let me check the
[78:10] (4690.64s)
other things. Let me check conflict
[78:11] (4691.76s)
resolution. Let me check growth. Let me
[78:13] (4693.12s)
make sure that this person's going to be
[78:14] (4694.24s)
successful. But ultimately, I would love
[78:15] (4695.84s)
for them to replicate their past success
[78:17] (4697.76s)
in my organization. So, if I had to pick
[78:19] (4699.76s)
one, I would pick the beginning. But you
[78:21] (4701.60s)
can rock the end. Like, why not? And the
[78:24] (4704.08s)
most important way to rock the end is to
[78:25] (4705.52s)
have relevant questions for the
[78:26] (4706.64s)
interviewer. And people often times
[78:28] (4708.32s)
forget about this in their behavioral
[78:30] (4710.00s)
interview prep. They spend all the time
[78:31] (4711.28s)
talking about their their stories and
[78:32] (4712.56s)
they're get really excited about telling
[78:34] (4714.00s)
answering questions. But then when it
[78:35] (4715.76s)
comes to uh you know a question that uh
[78:38] (4718.64s)
questions they have for the interviewer
[78:40] (4720.24s)
they come up with something like tell me
[78:41] (4721.52s)
about a day in the life of engineer like
[78:43] (4723.60s)
the day of the life of the engineer is
[78:44] (4724.72s)
pretty much the same across the company
[78:45] (4725.92s)
okay you know it's like hey we go get up
[78:47] (4727.92s)
we do some work go to meetings it's just
[78:50] (4730.00s)
not that interesting of a question so I
[78:51] (4731.28s)
think if you've thought deeply about the
[78:52] (4732.56s)
team about the organization about the
[78:54] (4734.00s)
product about the company and then you
[78:55] (4735.84s)
have some question which is helping you
[78:57] (4737.52s)
decide whether or not you want to work
[78:58] (4738.64s)
there the interviewer is assessing you
[79:00] (4740.56s)
on that even and so you can leave the
[79:02] (4742.56s)
impression that you are engaged in the
[79:04] (4744.56s)
process you're excited about the role,
[79:06] (4746.24s)
you're really evaluating whether it's
[79:07] (4747.52s)
right for you. That's a great way to
[79:09] (4749.28s)
leave the conversation.
[79:11] (4751.36s)
>> What percent of these interviews because
[79:13] (4753.20s)
you mentioned um the first impressions
[79:15] (4755.60s)
more important if you had to uh make the
[79:18] (4758.24s)
call. What percent of interviews do you
[79:21] (4761.12s)
think the result is decided within the
[79:24] (4764.48s)
first 20% of the interview?
[79:27] (4767.12s)
>> Yeah. So, lots of social science has
[79:28] (4768.88s)
been applied here. I have not seen any
[79:30] (4770.16s)
social science applied directly to tech
[79:32] (4772.16s)
interviews and sometimes you cannot
[79:33] (4773.68s)
apply um like cross apply you know
[79:35] (4775.76s)
interviewing at a fast food company to
[79:37] (4777.60s)
interviewing uh at a tech tech company.
[79:39] (4779.52s)
Um but the the the research says
[79:41] (4781.76s)
something like in the first u 15% right
[79:44] (4784.56s)
the first like 10 minutes of the
[79:45] (4785.84s)
interview most maybe like 40% of of the
[79:48] (4788.72s)
decisions has already been made and I
[79:50] (4790.88s)
would say that that happens for sure in
[79:52] (4792.72s)
in our experience as well as as uh you
[79:55] (4795.28s)
know in engineering again I I'm it's
[79:58] (4798.40s)
rare that I don't want to hire you in
[80:00] (4800.00s)
the first 10 15 minutes and then
[80:01] (4801.52s)
suddenly you say something at like
[80:03] (4803.20s)
minute 38 that's making me I changed my
[80:06] (4806.16s)
mind. I think it is common for me not to
[80:08] (4808.48s)
know right. So me for me to kind of feel
[80:10] (4810.16s)
like I'm not sure. Let me think about
[80:11] (4811.52s)
it. And then when I go back and I I
[80:13] (4813.36s)
would write the the the the notes down,
[80:15] (4815.28s)
I would consider it consider them
[80:16] (4816.88s)
according to the rubric, which is the
[80:18] (4818.00s)
goal of the rubric, right? It's to is to
[80:19] (4819.52s)
is to to shift our decision-m out of
[80:21] (4821.92s)
this this initial gut response and into
[80:24] (4824.08s)
something which is more cerebral
[80:26] (4826.00s)
leftrained. And um there would be times
[80:28] (4828.80s)
when I was not sure and then I would
[80:30] (4830.16s)
make a decision later. Uh but if I've
[80:32] (4832.24s)
made a decision in the first 10 minutes,
[80:34] (4834.72s)
it's pretty hard for you to to to
[80:36] (4836.64s)
overcome that. And most of the time it's
[80:38] (4838.24s)
because you're choosing the wrong
[80:40] (4840.24s)
stories or I can clearly tell that you
[80:42] (4842.24s)
just you have not done work at the level
[80:44] (4844.24s)
that we're expecting for this company.
[80:46] (4846.40s)
Um or you can't communicate very well.
[80:48] (4848.08s)
So like you can't tell stories very well
[80:49] (4849.60s)
and that's giving me um for for one
[80:52] (4852.08s)
thing usually means I can't collect
[80:53] (4853.28s)
enough relevant signal to to on the
[80:55] (4855.60s)
other axes to hire you. But also I know
[80:58] (4858.56s)
that uh if I hire you into my
[81:00] (4860.00s)
organization like you're not going to be
[81:01] (4861.12s)
a very good communicator. I I guess a
[81:02] (4862.96s)
lot of people I I've experienced this as
[81:04] (4864.72s)
well too where you're in the interview
[81:06] (4866.88s)
and it's not going so hot and then
[81:09] (4869.68s)
halfway you realize they're they're
[81:12] (4872.24s)
zoning out because they've already
[81:14] (4874.24s)
decided that you're not getting hired.
[81:16] (4876.80s)
So that that first half is so important.
[81:19] (4879.36s)
Another interesting thing I want to
[81:20] (4880.80s)
follow up on is it sounds like that last
[81:23] (4883.68s)
few minutes of the interview where they
[81:25] (4885.36s)
say, "Hey, do you have any questions for
[81:27] (4887.36s)
me?" This sounds like a note evaluative
[81:31] (4891.04s)
part of the interview, but it actually
[81:33] (4893.52s)
is. And you should continue to sell
[81:35] (4895.76s)
yourself by saying, "Hey, I ask
[81:38] (4898.32s)
questions that matter that are
[81:40] (4900.96s)
important. I am aware of the things that
[81:43] (4903.68s)
are important and I'm asking about
[81:45] (4905.20s)
those." So, um, what are good follow-up
[81:48] (4908.48s)
questions to ask to make sure that you
[81:50] (4910.48s)
get the most out of that section?
[81:52] (4912.96s)
>> Yeah. So, one of the themes here in our
[81:54] (4914.88s)
conversation is everything is
[81:55] (4915.68s)
evaluative, right? So the early
[81:57] (4917.12s)
conversation with the recruiter is
[81:58] (4918.08s)
evaluative. The end of the behavioral
[81:59] (4919.68s)
interview is evaluative. The like
[82:01] (4921.52s)
hangout chat with the hiring manager is
[82:02] (4922.80s)
evaluative. Everything is evaluative.
[82:03] (4923.92s)
And I think that makes sense. That's
[82:04] (4924.88s)
just part of life. But yes, definitely.
[82:06] (4926.80s)
So I think first of first off you should
[82:08] (4928.40s)
understand what's important to you. So
[82:09] (4929.92s)
what do are you concerned about the like
[82:12] (4932.80s)
long-term product uh prospects of this
[82:15] (4935.12s)
company? If that's concerning to you,
[82:16] (4936.48s)
why don't you ask about that? If it's if
[82:18] (4938.40s)
what's important to you is career growth
[82:20] (4940.24s)
and a manager that's going to be uh
[82:23] (4943.36s)
supportive of of your promotion and and
[82:25] (4945.52s)
you're talking to the hiring manager
[82:26] (4946.48s)
that's key. Then I would ask about that.
[82:27] (4947.84s)
Tell me about a time when you um uh tell
[82:29] (4949.92s)
me a story about how you help somebody
[82:31] (4951.12s)
grow from my level to the next level.
[82:32] (4952.56s)
Right? So if that's the story that you
[82:33] (4953.76s)
want to hear, understand what's
[82:35] (4955.20s)
important to you and uh it could be
[82:37] (4957.12s)
about the uh the technology. Although I
[82:39] (4959.84s)
think that those tend to be a little bit
[82:41] (4961.52s)
um more in the junior side. But if
[82:42] (4962.88s)
somebody's asking me about like what
[82:43] (4963.92s)
kind of stack we use or how we overcome
[82:45] (4965.52s)
this particular technical problem to me
[82:47] (4967.28s)
that feels a little bit more junior
[82:49] (4969.12s)
although if you know maybe in an AI
[82:51] (4971.04s)
context that might not be so like you
[82:52] (4972.48s)
could ask a question about you know
[82:54] (4974.40s)
model construction or evaluation or
[82:55] (4975.92s)
something like that that could be really
[82:56] (4976.88s)
important for for you to join the
[82:58] (4978.40s)
company. Um, you can ask about the role.
[83:00] (4980.56s)
So, um, oftentimes the one that I really
[83:03] (4983.12s)
liked would be something like, "Tell me
[83:05] (4985.04s)
about what makes this role really
[83:06] (4986.64s)
successful, like someone in this role
[83:07] (4987.92s)
really successful." And you can get us a
[83:10] (4990.16s)
lot of signal on how to be successful in
[83:11] (4991.84s)
the in the in the company once you get
[83:13] (4993.28s)
there. And showcase to the interviewer
[83:15] (4995.28s)
that you're interested in in being
[83:16] (4996.72s)
successful by asking a question like
[83:18] (4998.08s)
that. I mentioned company ones um, and
[83:21] (5001.44s)
and manager ones. So like I think those
[83:23] (5003.04s)
are the your your categories for
[83:24] (5004.80s)
choosing one some kind of insightful
[83:26] (5006.32s)
question. But it I wouldn't I wouldn't
[83:28] (5008.32s)
approach it as in like how can I impress
[83:30] (5010.16s)
this person with a deep question. I
[83:32] (5012.08s)
would approach it more like what's
[83:33] (5013.36s)
important to me and then that will come
[83:35] (5015.52s)
across in as a deep question to the
[83:37] (5017.44s)
person that you're you're talking to.
[83:39] (5019.68s)
But I would avoid certain things that
[83:41] (5021.04s)
might be important to you. So questions
[83:42] (5022.40s)
like um tell me about the conversation
[83:44] (5024.48s)
of this role. Right? That's not a
[83:45] (5025.60s)
conversation that you have with the
[83:46] (5026.72s)
behavioral interviewer. Or like how is
[83:48] (5028.64s)
the free food? Right? these things might
[83:50] (5030.40s)
be important to you but like this is not
[83:51] (5031.68s)
the time to talk about those things. I
[83:53] (5033.52s)
think it needs to be more related to uh
[83:55] (5035.52s)
you know something that the hiring
[83:56] (5036.64s)
manager also or the interviewer also
[83:58] (5038.72s)
cares about. One last thing I think on
[84:01] (5041.60s)
behavioral interviews we did we did a
[84:03] (5043.76s)
lot of a lot of stuff on on behavioral
[84:06] (5046.16s)
here is there's this idea of
[84:09] (5049.04s)
storytelling that kind of unifies
[84:11] (5051.76s)
everything. If you can storyt tell well
[84:14] (5054.16s)
you're going to do well in your
[84:15] (5055.12s)
behavioral. you're going to do well when
[84:17] (5057.20s)
you're advocating for yourself actually
[84:18] (5058.96s)
on the job. So, I want to get your your
[84:21] (5061.84s)
thoughts on how to tell stories. Well,
[84:25] (5065.60s)
um what are the most common ways to get
[84:27] (5067.76s)
the most benefit with the least amount
[84:29] (5069.52s)
of time?
[84:30] (5070.88s)
>> Yeah. So, a story has to have an arc,
[84:33] (5073.36s)
has to have some of beginning, middle,
[84:35] (5075.12s)
end. It needs to give the person
[84:37] (5077.92s)
whatever the the the story listener is
[84:40] (5080.56s)
looking for. you know, maybe in some
[84:42] (5082.00s)
kind of novel, we're looking for
[84:43] (5083.60s)
entertainment and we're looking for
[84:44] (5084.56s)
something like deeper meaning about
[84:45] (5085.76s)
life. In a behavioral interview, I'm
[84:47] (5087.52s)
looking to to uh see if you are
[84:49] (5089.76s)
demonstrating past behaviors which uh
[84:51] (5091.92s)
are repeatable in the organization I'm
[84:53] (5093.76s)
hiring you into which align with the
[84:55] (5095.36s)
signal areas, right? So, that's the
[84:56] (5096.48s)
goal. So, let's just remind ourselves
[84:57] (5097.76s)
that is have sort of arc and it needs to
[85:00] (5100.32s)
deliver this uh you know this signal
[85:02] (5102.00s)
area. There's a couple of different
[85:03] (5103.36s)
frameworks people have have talked about
[85:04] (5104.88s)
in the past for shortcuts for how we can
[85:07] (5107.36s)
get to this and the most common one is
[85:08] (5108.64s)
star, right? situation, task, action,
[85:10] (5110.48s)
result. If you've looked up anything
[85:11] (5111.76s)
about behavioral interviews, you've
[85:12] (5112.88s)
definitely seen the STAR method. If you
[85:14] (5114.88s)
I will begin by saying I don't love the
[85:16] (5116.48s)
STAR method. However, if you have an
[85:18] (5118.48s)
interview tomorrow and you have a bunch
[85:20] (5120.00s)
of star stories that you prepared, go
[85:21] (5121.44s)
for it. That's great. It'll give you
[85:23] (5123.20s)
that arc. It'll it'll showcase those
[85:24] (5124.96s)
actions. It will bookend the actions you
[85:27] (5127.36s)
have with some kind of context to
[85:28] (5128.48s)
understand them and then some kind of
[85:29] (5129.84s)
impact or results so that they can
[85:31] (5131.36s)
understand why you did the things that
[85:32] (5132.88s)
you did. I prefer one called CALR, which
[85:35] (5135.44s)
is context, actions, results, learnings.
[85:38] (5138.80s)
I don't think the difference between a
[85:40] (5140.16s)
situation and a task is like super
[85:41] (5141.92s)
relevant when you're telling a story.
[85:43] (5143.52s)
Often times story stories just have
[85:45] (5145.36s)
context like what's going on in the
[85:46] (5146.88s)
business, what's happening on the team,
[85:48] (5148.48s)
why I got this project in the first
[85:50] (5150.16s)
place. So I think trying to you as a
[85:52] (5152.88s)
preparer trying to figure out like
[85:54] (5154.16s)
what's the situation here and then I'm
[85:55] (5155.28s)
going to move into the task and what is
[85:56] (5156.88s)
the task on like a two year project,
[85:59] (5159.76s)
right? Like there's like many many many
[86:01] (5161.04s)
tasks really which are attached to the
[86:02] (5162.40s)
actions, right? So I think that that
[86:04] (5164.08s)
thinking in terms of just context and
[86:05] (5165.60s)
jumping into the actions uh is is super
[86:07] (5167.76s)
relevant and then I think for senior
[86:09] (5169.28s)
engineers star doesn't provide any kind
[86:11] (5171.20s)
of space for reflection or any kind of
[86:13] (5173.92s)
space for uh you know judgment or
[86:16] (5176.88s)
learnings right and that's that's why I
[86:18] (5178.64s)
like adding learnings to the end of
[86:19] (5179.76s)
every story especially for senior
[86:21] (5181.36s)
engineers I'm looking to see whether or
[86:23] (5183.36s)
not you can u look at your past
[86:25] (5185.76s)
experience understand what made you
[86:27] (5187.28s)
successful or unsuccessful and then
[86:28] (5188.96s)
apply that going forward so this gives
[86:30] (5190.48s)
you a nice uh and easy pneumonic right
[86:33] (5193.12s)
to remember to add those things to your
[86:34] (5194.72s)
stories. Um, but I also think that when
[86:37] (5197.20s)
you're telling stories, you need to be
[86:38] (5198.56s)
con cognizant of where you are in the
[86:40] (5200.32s)
interview. And I think this is another
[86:42] (5202.72s)
differentiator between junior interview
[86:45] (5205.12s)
and junior candidates and senior
[86:46] (5206.32s)
candidates. A senior candidate is
[86:48] (5208.24s)
managing the time. So they understand
[86:49] (5209.76s)
that hey when I ask some kind of big I
[86:52] (5212.32s)
call it a trunk question trunk branch
[86:54] (5214.32s)
leaf trunk question which is like tell
[86:56] (5216.24s)
about uh you know a project that was
[86:58] (5218.16s)
really ambiguous then you're giving
[86:59] (5219.76s)
you're being given a cart blanch by the
[87:01] (5221.44s)
the interviewer to tell a longer story
[87:03] (5223.04s)
so you tell a longer story but then if I
[87:05] (5225.04s)
ask something about like well you know
[87:07] (5227.12s)
how who did you talk to in order to get
[87:08] (5228.64s)
this you know piece of information then
[87:11] (5231.12s)
uh to you know to to do some action as
[87:13] (5233.12s)
part of the story then now I'm asking
[87:14] (5234.80s)
some kind of like middle round maybe I
[87:17] (5237.12s)
probably have some thought about who I
[87:18] (5238.80s)
talk to and how I talk to them. It's a
[87:20] (5240.40s)
communication signal, right? So, I
[87:21] (5241.52s)
should give them something, but I
[87:22] (5242.48s)
shouldn't give them like a complete star
[87:23] (5243.92s)
or Carl story at that at that level. And
[87:26] (5246.16s)
sometimes they just want like some very
[87:27] (5247.84s)
specific information like, oh, like tell
[87:29] (5249.68s)
me about the framework that you used for
[87:31] (5251.84s)
this particular project. Okay. They just
[87:33] (5253.84s)
kind of like checking off a box, right?
[87:35] (5255.12s)
Just want to understand little bit of
[87:36] (5256.56s)
context I didn't have before. And so,
[87:38] (5258.16s)
that's a leaf question. Just give them
[87:39] (5259.52s)
the answer and then move on. So I think
[87:40] (5260.64s)
your ability to detect what kind of
[87:43] (5263.28s)
question how long the the interviewer
[87:45] (5265.44s)
wants to to listen to a response is
[87:47] (5267.68s)
going to be an indicator of of seniority
[87:49] (5269.52s)
and also like an important skill for you
[87:51] (5271.04s)
managing the the interview.
[87:53] (5273.60s)
For storytelling what do you think's
[87:55] (5275.84s)
more important what you say or how you
[87:59] (5279.20s)
say it? So for instance, is it the
[88:01] (5281.60s)
actual words that are coming out of my
[88:03] (5283.36s)
mouth that makes the biggest difference
[88:05] (5285.44s)
or is it my presence, how confident I
[88:08] (5288.64s)
am? And is there one versus the other
[88:12] (5292.00s)
that you'd say people should really
[88:13] (5293.60s)
focus on to really nail their stories?
[88:16] (5296.16s)
>> Engineers tend to be pretty structured
[88:17] (5297.68s)
people and engineering interviews tend
[88:19] (5299.76s)
to be very structured. Um even in
[88:21] (5301.52s)
smaller places, someone will at least
[88:22] (5302.96s)
perceive that they they are structuring
[88:24] (5304.48s)
the interview in some kind of rational
[88:26] (5306.00s)
way. And so I think it is less about how
[88:28] (5308.88s)
you say it and is more about what you
[88:30] (5310.48s)
say. Um so if I even if you came across
[88:33] (5313.20s)
confident and positive and encouraging
[88:36] (5316.24s)
and like somebody I would love to work
[88:37] (5317.52s)
with but if somehow I did not hear that
[88:40] (5320.08s)
you uh were handling ambiguity in some
[88:42] (5322.72s)
kind of structured way or that you were
[88:45] (5325.36s)
applying um some kind of conflict
[88:46] (5326.96s)
resolution framework to the conflicts
[88:48] (5328.32s)
that you had then I'm I'm I'm that
[88:50] (5330.64s)
interview is not going to go well and uh
[88:52] (5332.48s)
I'm not going to be able to support
[88:53] (5333.60s)
hiring you. So I do think that that it
[88:55] (5335.92s)
really does come down to substance. I
[88:57] (5337.44s)
think that's the most important thing.
[88:59] (5339.04s)
Um uh you know form follows function as
[89:02] (5342.88s)
in most engineering environments and I
[89:04] (5344.56s)
think that it in it it uh it it's the
[89:07] (5347.20s)
case here as well. However, I [snorts]
[89:09] (5349.60s)
would say at more senior levels then how
[89:11] (5351.92s)
you come across and how you tell the
[89:13] (5353.20s)
story does make a lot more does make
[89:15] (5355.20s)
more impact because we are expecting you
[89:17] (5357.44s)
to be telling stories like this one. For
[89:19] (5359.60s)
example, when the VP says, "How's that
[89:21] (5361.28s)
project going?" in the in the in the
[89:23] (5363.60s)
status meeting, you need to be able to
[89:24] (5364.88s)
tell like a an engaging and entertaining
[89:27] (5367.84s)
well, as much as entertaining as any
[89:29] (5369.04s)
work thing is, entertaining story about
[89:31] (5371.28s)
how the project is going. And so I I am
[89:33] (5373.44s)
looking to see if you are uh providing
[89:36] (5376.08s)
interesting details, for example, like a
[89:38] (5378.08s)
detail that might be showcase something
[89:40] (5380.00s)
that uh some thinking that you did or
[89:42] (5382.16s)
some unique situation that you were in.
[89:44] (5384.72s)
um often times uh you know whether to
[89:47] (5387.84s)
include details is a big part of of what
[89:49] (5389.76s)
you're going through as a behavioral
[89:50] (5390.80s)
interviewer. So you should only include
[89:52] (5392.96s)
details which which help to accomplish
[89:55] (5395.60s)
some tasks. So maybe the task is that I
[89:57] (5397.60s)
want to showcase I'm deeply technical. I
[89:58] (5398.96s)
want to include a few details like that.
[90:00] (5400.56s)
Maybe the the task right now for me is
[90:02] (5402.72s)
the candidate is to showcase that I am
[90:04] (5404.24s)
somebody who can work across teams. So,
[90:05] (5405.76s)
I want to include the the the part about
[90:08] (5408.00s)
how the the other tech lead had an had a
[90:10] (5410.40s)
bad, you know, had a mean look on his
[90:12] (5412.00s)
face when I went to to to talk about
[90:13] (5413.84s)
this thing. Maybe that detail is
[90:15] (5415.20s)
relevant, right? Because it showcases
[90:16] (5416.24s)
how I push through difficulty and push
[90:18] (5418.16s)
back on on other teams. So, um yes, I
[90:21] (5421.28s)
think those things are relevant. I think
[90:22] (5422.96s)
most candidates probably need to spend
[90:24] (5424.80s)
more of their time on basic uh story
[90:27] (5427.28s)
structure, basic identification of what
[90:29] (5429.52s)
actions they did that are repeatable.
[90:31] (5431.60s)
You know, I wanted to ask you about your
[90:34] (5434.08s)
senior your your promotion to M2 at
[90:36] (5436.64s)
Meta. Actually, you've you've told me so
[90:39] (5439.60s)
much about how to speak about scope at
[90:41] (5441.52s)
this point. Maybe you could you could
[90:43] (5443.68s)
tell me or tell the audience how you got
[90:46] (5446.72s)
promoted to M2, why you got promoted to
[90:49] (5449.44s)
M2, and speak about it in a way that
[90:51] (5451.84s)
illustrates the scope of a senior
[90:53] (5453.52s)
manager.
[90:54] (5454.56s)
>> In order to get to M2, I had to solve
[90:56] (5456.08s)
some difficult problems in the
[90:57] (5457.20s)
recruiting space. And uh the probably
[90:59] (5459.68s)
the most important one was around
[91:01] (5461.68s)
diversity. So I I left uh a team which
[91:04] (5464.96s)
was focused on building things for
[91:07] (5467.04s)
teenagers which is another hard problem
[91:08] (5468.48s)
that I got myself involved in. Very
[91:10] (5470.08s)
difficult time for for Facebook during
[91:11] (5471.60s)
that time. Um but I left that team to uh
[91:14] (5474.08s)
lead a couple teams within their
[91:15] (5475.68s)
internal recruiting products
[91:16] (5476.80s)
organization which is all about um
[91:19] (5479.20s)
supporting candidates, supporting um
[91:21] (5481.20s)
recruiters and sourcers and their goals.
[91:23] (5483.60s)
And uh but the thing that really drew me
[91:25] (5485.12s)
over there was working on supporting a
[91:26] (5486.64s)
team that was um hiring more diverse
[91:28] (5488.96s)
engineers. That meant a lot to me. So
[91:30] (5490.96s)
how can I help make the world a better
[91:32] (5492.48s)
place as my position as a manager would
[91:35] (5495.04s)
be to make uh what is the most uh the
[91:38] (5498.96s)
largest wealth opportunity in the world
[91:41] (5501.04s)
today which was technology and is
[91:43] (5503.04s)
technology. How can I make that
[91:44] (5504.32s)
available to more people in the world?
[91:45] (5505.76s)
That's really motivated me. So I that is
[91:47] (5507.84s)
not an easy problem to solve. uh is not
[91:49] (5509.36s)
definitely not an easy problem to solve
[91:50] (5510.40s)
from a perspective of a a product team
[91:53] (5513.44s)
right I'm not an education institution
[91:55] (5515.36s)
right I I I don't get to make all hiring
[91:57] (5517.44s)
decisions for example um I don't get to
[91:59] (5519.92s)
pick uh you know what people learn in
[92:01] (5521.60s)
school so uh but we were able to move
[92:04] (5524.72s)
the needle there by improving um
[92:06] (5526.72s)
preparation of all things like interview
[92:08] (5528.24s)
preparation and that's how we were able
[92:10] (5530.16s)
to um help improve the diversity hiring
[92:12] (5532.16s)
for for uh for meta and that as well as
[92:15] (5535.60s)
supporting a number of other teams
[92:17] (5537.12s)
helping to establish uh high quality of
[92:19] (5539.92s)
candidate data that would be established
[92:21] (5541.92s)
uh for for Facebook's applicant tracking
[92:23] (5543.68s)
system and being able to um uh you know
[92:27] (5547.76s)
clarify like what's important in in
[92:29] (5549.68s)
terms of candidate data and being able
[92:31] (5551.28s)
to improve the quality that we have
[92:32] (5552.80s)
significantly over time. I think that's
[92:34] (5554.88s)
those are the reasons why I was promoted
[92:36] (5556.24s)
to M2.
[92:38] (5558.08s)
So when I when I think I that story I
[92:41] (5561.44s)
just heard as if I was an interview were
[92:44] (5564.80s)
I heard that you were supporting
[92:46] (5566.40s)
multiple teams. I heard that you were
[92:49] (5569.20s)
taking on a an ambiguous problem like
[92:51] (5571.92s)
how do you solve diversity? It's not
[92:54] (5574.24s)
immediately obvious and it sounds like
[92:56] (5576.32s)
you had a significant self motivation to
[92:59] (5579.76s)
go towards this problem space and solve
[93:01] (5581.76s)
for the company. So um am I hearing that
[93:04] (5584.48s)
those are the the signals that you hope
[93:06] (5586.64s)
that uh an interviewer would have got if
[93:09] (5589.20s)
you were interviewing for a behavioral
[93:10] (5590.80s)
interview?
[93:12] (5592.24s)
>> Yeah, for sure. Um I I would say I would
[93:14] (5594.40s)
add a few other ones. So one thing that
[93:16] (5596.56s)
that I didn't mention is impact across
[93:18] (5598.40s)
the company. So I think leading leading
[93:20] (5600.16s)
the iOS and Android uh recruiting
[93:22] (5602.24s)
pipelines is an important way that
[93:24] (5604.40s)
you're scaling yourself and and applying
[93:26] (5606.08s)
yourself across more than than just the
[93:28] (5608.16s)
teams that you're directly responsible
[93:29] (5609.44s)
for. So that was also a big part. I
[93:31] (5611.04s)
should have included that. I understand
[93:32] (5612.80s)
you left big tech at this point and you
[93:35] (5615.84s)
know looking back on your experience in
[93:38] (5618.08s)
big tech is there anything that you
[93:39] (5619.84s)
regret or anything that you wish you
[93:41] (5621.28s)
could have changed?
[93:42] (5622.64s)
>> I don't regret leaving. I think um I had
[93:45] (5625.28s)
a really great time. I work with a lot
[93:46] (5626.56s)
of wonderful people. I think that I
[93:49] (5629.36s)
regret uh the anxiety that I put into
[93:52] (5632.40s)
the teams and the anxiety that I put
[93:53] (5633.92s)
into myself. I think we can all look
[93:55] (5635.84s)
back on parts of our life, whether it's
[93:57] (5637.52s)
school or early career or even now, and
[93:59] (5639.44s)
we think, "Wow, I really wish I hadn't
[94:01] (5641.20s)
worried about that at the end of our
[94:02] (5642.96s)
lives, we don't say things like,"I wish
[94:04] (5644.64s)
I had just gotten a few more percent out
[94:07] (5647.28s)
of that engagement number and that
[94:08] (5648.40s)
project XYZ." Like, nobody thinks that
[94:10] (5650.32s)
way, right? People value relationships.
[94:12] (5652.00s)
They value um they value connection. Um
[94:15] (5655.84s)
and I I think that I added a lot of
[94:18] (5658.48s)
anxiety to my life in various parts of
[94:20] (5660.64s)
my career. And I I regret that part. I
[94:23] (5663.36s)
think that um like I told you earlier, I
[94:25] (5665.28s)
made conscious choices to optimize for
[94:27] (5667.60s)
my life experience versus my career. I
[94:30] (5670.48s)
think there were times when when I was
[94:32] (5672.72s)
not honest with myself about that when
[94:35] (5675.20s)
uh I was not honest about what that that
[94:38] (5678.08s)
trade-off would mean in terms of
[94:39] (5679.84s)
compensation or in terms of career
[94:41] (5681.52s)
progression or in terms of status for
[94:44] (5684.08s)
myself. And I think being honest with
[94:45] (5685.84s)
yourself about what you really value and
[94:48] (5688.00s)
being okay with the trade-offs in
[94:49] (5689.20s)
advance. And um since I've left big tech
[94:51] (5691.36s)
and supporting my wife as she's building
[94:52] (5692.96s)
her her her business um certainly that
[94:55] (5695.52s)
has come with like a decrease in pay.
[94:57] (5697.44s)
And one of the things one of the ways
[94:59] (5699.04s)
that I have um been able to apply the
[95:01] (5701.76s)
learning that I'm telling you is before
[95:03] (5703.52s)
I left I knew okay I'm pay is going cash
[95:06] (5706.80s)
flow is going to be low. I'm going to be
[95:08] (5708.56s)
okay with that because I'm making
[95:09] (5709.60s)
decisions to spend more time with my
[95:10] (5710.88s)
kids because I'm making decisions to
[95:12] (5712.32s)
support more community uh organizations
[95:14] (5714.72s)
here and volunteering and I'm going to
[95:16] (5716.56s)
be okay with that that choice. And
[95:18] (5718.16s)
that's been really helpful. I've been
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able to go back to that choice a number
[95:20] (5720.40s)
of times when the cash flow situation
[95:22] (5722.96s)
has uh you know maybe wanted to improve
[95:25] (5725.04s)
that [laughter] maybe we missed that
[95:26] (5726.96s)
that that kind of paycheck u and maybe
[95:28] (5728.96s)
you'll experience this I don't know you
[95:30] (5730.16s)
know having just having just left uh big
[95:31] (5731.92s)
tech uh but I think having that honest
[95:33] (5733.92s)
conversation with myself has really
[95:35] (5735.52s)
helped in the last couple of years. uh
[95:37] (5737.52s)
and I wish I had had done that earlier
[95:39] (5739.68s)
and said you know what I I really value
[95:41] (5741.36s)
these things and that means I'm not
[95:42] (5742.96s)
going to have those other things in life
[95:44] (5744.56s)
and that's that's okay that's okay if
[95:46] (5746.40s)
that's what you want right um so making
[95:48] (5748.24s)
that kind of conscious and valuesdriven
[95:50] (5750.00s)
decision and then coming back to it
[95:52] (5752.00s)
maybe sometimes revisiting it maybe you
[95:53] (5753.52s)
want to change it but that kind of
[95:54] (5754.80s)
intentionality is something I wish I had
[95:56] (5756.80s)
um was more honest with myself about
[95:58] (5758.56s)
>> so when you're saying you were you were
[96:00] (5760.00s)
not honest you still thought you wanted
[96:03] (5763.12s)
that cash flow and those things
[96:04] (5764.96s)
>> I think I was frustrated I think I was
[96:06] (5766.64s)
frustrated frustrated at various points
[96:07] (5767.68s)
about about not being able to progress.
[96:09] (5769.36s)
And I think that there was I would even
[96:11] (5771.04s)
say bitterness at times when I would say
[96:13] (5773.60s)
I'm frustrated that so- and so got this
[96:15] (5775.28s)
job, so and so got promoted, you know,
[96:17] (5777.04s)
so and so was able to do XYZ right here.
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Look at me, you know, I'm doing this,
[96:20] (5780.96s)
I'm doing that. But not being honest
[96:22] (5782.80s)
with myself of of you know what, you you
[96:24] (5784.72s)
didn't do the things that they did. You
[96:25] (5785.92s)
did not move teams as rapidly as they
[96:27] (5787.92s)
did. You did not work as hard as that
[96:29] (5789.68s)
person. You prioritized other things in
[96:31] (5791.12s)
your life. You prioritized your family.
[96:32] (5792.80s)
you prioritize in making an impact in um
[96:35] (5795.52s)
in uh in the community around you
[96:37] (5797.52s)
outside of work and um and that has
[96:40] (5800.08s)
consequences, right? So I I think we we
[96:42] (5802.48s)
can live in this world where we think um
[96:44] (5804.80s)
you can have it all, right? Like you can
[96:46] (5806.48s)
you can be a whatever level seven IC and
[96:50] (5810.56s)
go home at 5:00, right? And have a
[96:52] (5812.56s)
wonderful and engaging family life. And
[96:54] (5814.24s)
maybe some people can do that, right? I
[96:55] (5815.60s)
think that that that could be a skill
[96:56] (5816.80s)
that people have, but that depends a lot
[96:58] (5818.56s)
on on your your talent level and what
[97:00] (5820.40s)
kind of skills you've built up over
[97:01] (5821.68s)
time. Um but the reality for most people
[97:03] (5823.76s)
is that um if you want to accomplish
[97:06] (5826.16s)
something extraordinary in your life,
[97:08] (5828.08s)
you have to have ext you have to take
[97:09] (5829.68s)
extraordinary steps. And I don't think I
[97:11] (5831.76s)
was honest with myself. And I think that
[97:13] (5833.20s)
that resulted in some frustration and
[97:15] (5835.36s)
bitterness along the way. But I think
[97:16] (5836.56s)
that once I decided uh kind of in the
[97:18] (5838.72s)
middle what's important to me, where I
[97:20] (5840.48s)
really want to be um what I want my kids
[97:22] (5842.56s)
to say about me in 10 years, that was
[97:24] (5844.72s)
what really what guided me. Um what what
[97:26] (5846.72s)
I want what I want them to remember
[97:28] (5848.08s)
about me 101 15 years from now. Um, that
[97:30] (5850.64s)
was very clarifying and very helpful.
[97:32] (5852.56s)
>> That intentionality got rid of those
[97:35] (5855.28s)
feelings for you.
[97:36] (5856.80s)
>> Well, I think that it comes back
[97:38] (5858.00s)
sometimes. So, especially living in a
[97:40] (5860.08s)
place like this where uh people are are
[97:42] (5862.08s)
are stacking wealth in in in as fast as
[97:45] (5865.20s)
they possibly can and um you're going to
[97:47] (5867.60s)
see people like that around you all the
[97:49] (5869.04s)
time living in Silicon Valley. And so,
[97:51] (5871.12s)
you have to to to ask yourself like, is
[97:53] (5873.04s)
that what I want? No, maybe it is.
[97:54] (5874.96s)
That's fine. Maybe it's not. uh and then
[97:57] (5877.28s)
so it's going to come up and it comes up
[97:58] (5878.72s)
in my life you know on a on a
[98:00] (5880.08s)
semi-regular basis but it's really
[98:01] (5881.76s)
helpful to be aligned uh with your own
[98:03] (5883.44s)
values and have that kind of mission
[98:05] (5885.12s)
statement or vision that you have for
[98:06] (5886.80s)
your life and what's important to you in
[98:08] (5888.48s)
the future and if you live like that
[98:10] (5890.40s)
you'll be satisfied
[98:13] (5893.12s)
>> you you worked a long time at Meta
[98:15] (5895.60s)
across uh other companies as well and
[98:17] (5897.76s)
I'm curious what was the best advice
[98:20] (5900.08s)
that you ever received in your career
[98:22] (5902.56s)
>> I would say that the best advice that I
[98:24] (5904.48s)
ever received was um the importance of
[98:28] (5908.88s)
creating scope. So, uh, if you would
[98:31] (5911.52s)
like to get promoted or if you would
[98:33] (5913.52s)
like to, um, to, you know, to to advance
[98:36] (5916.24s)
in your career, often times we were
[98:38] (5918.08s)
waiting, like we were waiting for
[98:39] (5919.12s)
somebody to give us that opportunity.
[98:40] (5920.96s)
And, um, I remember one of my managers
[98:43] (5923.12s)
said like, if you want this, you know,
[98:45] (5925.20s)
M2 role, you have to create an M2 scope
[98:48] (5928.88s)
uh, scope team, right? You have to to
[98:50] (5930.72s)
accomplish and solve problems that are
[98:53] (5933.04s)
uh, you know, that are that are of this
[98:54] (5934.56s)
scope. And I so I think that this this
[98:57] (5937.12s)
kind of um honest reflection on like
[99:00] (5940.32s)
what it really takes to get to the next
[99:01] (5941.60s)
level that you have to change uh not
[99:03] (5943.60s)
just how what you do right that's often
[99:06] (5946.00s)
advice that you hear not just doing the
[99:07] (5947.52s)
same thing that you're doing as your
[99:08] (5948.40s)
level better you have to do something
[99:09] (5949.44s)
different but what is that difference
[99:11] (5951.44s)
and really that difference is about
[99:13] (5953.04s)
creating additional scope and um
[99:15] (5955.68s)
creating space for the the organization
[99:17] (5957.84s)
to succeed. That was another key part of
[99:19] (5959.84s)
that advice was um you know what is your
[99:21] (5961.92s)
VP saying about your project and if your
[99:25] (5965.20s)
VP is not going to be talking to anybody
[99:26] (5966.88s)
of their peers or their manager about
[99:28] (5968.96s)
what you're doing then the question is
[99:30] (5970.56s)
am I doing the right thing um so what
[99:32] (5972.24s)
can what kind of kind of how can I work
[99:34] (5974.64s)
backwards right and we do this a lot we
[99:36] (5976.00s)
work backwards in the behavioral
[99:36] (5976.96s)
interview what do I want to present what
[99:38] (5978.24s)
kind of signal area do I want to present
[99:39] (5979.60s)
you work backwards in a promotional
[99:40] (5980.80s)
experience what do I want the packet to
[99:42] (5982.24s)
be like and I think you can work um
[99:44] (5984.08s)
backwards in terms of um creating scope
[99:46] (5986.40s)
which is what do I want the you know the
[99:48] (5988.48s)
VP or the organization's leadership to
[99:50] (5990.24s)
say about what we've accomplished and
[99:51] (5991.76s)
then go and figure out a way to do that
[99:53] (5993.20s)
thing.
[99:54] (5994.88s)
>> Yeah, that's that's great advice. I
[99:56] (5996.56s)
mean, there's there's always situation
[99:58] (5998.88s)
and luck when it comes to career growth
[100:01] (6001.60s)
and promos, but I feel like the most
[100:04] (6004.08s)
satisfying promotions are the ones where
[100:06] (6006.80s)
you take initiative and you create the
[100:09] (6009.44s)
scope and no one can stop you in that
[100:11] (6011.92s)
case. So, it's it's uh you don't need
[100:14] (6014.08s)
anyone's permission. Um, and then the
[100:16] (6016.40s)
last question I'd ask is if you look
[100:18] (6018.48s)
back on your entire career and right
[100:20] (6020.96s)
when you graduated college and you could
[100:22] (6022.80s)
give yourself some advice now that
[100:24] (6024.40s)
you've learned what you've learned, what
[100:26] (6026.88s)
would you say?
[100:28] (6028.48s)
>> I had a lot of imposter syndrome. So I
[100:30] (6030.48s)
avoided, for example, I got a I got a
[100:32] (6032.16s)
PhD out of um in computer science out of
[100:34] (6034.80s)
out of undergraduate school. But during
[100:36] (6036.80s)
the summers, I would work uh just in in
[100:38] (6038.72s)
in the research in the university when a
[100:40] (6040.48s)
lot of my peers would go and work uh in
[100:42] (6042.88s)
in industry. they would go get a like a
[100:45] (6045.28s)
internship, right, at Google or Facebook
[100:46] (6046.64s)
or wherever and work there. And um
[100:50] (6050.32s)
really what held me back was insecurity.
[100:52] (6052.72s)
I didn't want to go through the
[100:53] (6053.52s)
interview process. I I didn't want to be
[100:55] (6055.36s)
rejected. And so I I think that kind of
[100:58] (6058.00s)
fear and allowing um the imposttor
[101:00] (6060.88s)
syndrome that I felt to hold me back
[101:03] (6063.04s)
from those choices. I I I do think that
[101:04] (6064.88s)
that had a
[101:07] (6067.28s)
my my career was great. I love my
[101:08] (6068.56s)
career. It's great. I'm not sure I would
[101:09] (6069.76s)
change a ton, but I think it did hold me
[101:12] (6072.08s)
back. I think I I was slower to
[101:13] (6073.76s)
understand how u big organizations
[101:16] (6076.00s)
operate. I was slower to understand how
[101:17] (6077.60s)
large code bases operate. Um certainly
[101:19] (6079.76s)
coming from from academia. So I think
[101:22] (6082.08s)
that that kind of insecurity and fear um
[101:25] (6085.68s)
really held me back. I know that's super
[101:27] (6087.20s)
common kind of advice to give oneself in
[101:29] (6089.36s)
the past is like don't give into fear.
[101:31] (6091.44s)
Um but that's the biggest advice I would
[101:33] (6093.76s)
tell myself is don't give into fear.
[101:36] (6096.80s)
>> Awesome. Well, thank you so much Austin
[101:39] (6099.36s)
for your time. I really appreciate it
[101:41] (6101.04s)
and I hope it's helpful for people.
[101:43] (6103.92s)
>> Yeah, thanks Ryan. Great to be here.
[101:46] (6106.72s)
>> Thank you for listening to the podcast.
[101:48] (6108.48s)
It's a passion project of mine that I've
[101:50] (6110.72s)
really enjoyed building. Another passion
[101:52] (6112.72s)
project that I've been working on kind
[101:54] (6114.08s)
of in secret is building an ergonomic
[101:56] (6116.56s)
keyboard that I wish existed and I
[101:58] (6118.80s)
finally have a prototype. So, I'd love
[102:00] (6120.48s)
to show you what we've built. It's ultra
[102:03] (6123.36s)
low profile and ergonomic and I couldn't
[102:06] (6126.08s)
find anything like it on the market. So,
[102:07] (6127.76s)
that's why we built it. I'll put a link
[102:09] (6129.52s)
to the keyboard in the description. You
[102:11] (6131.20s)
can take a look and learn more about the
[102:12] (6132.80s)
project there. We could definitely use
[102:14] (6134.40s)
your support. Also, if you have any
[102:16] (6136.40s)
feedback for me about the show, I'd love
[102:18] (6138.40s)
to hear it. Comments on YouTube have led
[102:20] (6140.80s)
to guests coming on like Ilia Gregoric
[102:23] (6143.44s)
and David Fowler. I wasn't aware of them
[102:25] (6145.84s)
until someone dropped a comment. Also,
[102:28] (6148.00s)
feedback in the comments helped me learn
[102:29] (6149.52s)
to reduce the number of cliffhers in the
[102:32] (6152.08s)
intros. So, your comments definitely
[102:33] (6153.92s)
make a difference. Please keep letting
[102:35] (6155.36s)
me know what you'd like to see more of
[102:36] (6156.96s)
in the show, and I'll see you in the
[102:38] (6158.48s)
next episode.