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So you worked at Uber for a long time,
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you worked at Netflix, you're now
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working at Google. What are patterns
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you've seen truly standout software
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engineers be like across these
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companies. So they are one students they
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always be learning. Two, they're willing
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to roll up their sleeves and get their
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hands in it. And then this final piece
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which is that the conviction like they
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have a strong opinion, they have
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convictions where they say like this is
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the way. They're not like wobbly like h
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maybe whatever. They're willing to have
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skin in the game, but they're also
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willing to be wrong and be like, you
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know what, actually, I take it back.
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Actually, I didn't realize it. And then,
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of course, there's some other tactical
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things like they're actually able to
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communicate. I don't mean you need to be
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able to go on stage and present or
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whatever, but you can just talk human to
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human. You can have a conversation and
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cuz it's so important even if you're
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like shy or tester, you're able to kind
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of distill what you're saying into
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simple terms. And the ones I love the
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most are the engineers that don't make
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you feel like an idiot. Do not be afraid
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to get your hands dirty in code. Because
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there are the things that apply to
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everyone, but the people who I've seen
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fail at teams who look good is they just
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talk the talk, but they don't get
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involved for whatever reason. How do you
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get product and engineering to work
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really well together as one team? Either
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the director of product at YouTube and
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previously worked at Netflix and at
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Uber. As it happened at Uber, when I
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became an engineering manager, Ebie was
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the first product manager I worked with
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and we learned a lot from each other as
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our team went through the stages of
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forming, storming, and performing. In
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today's episode, we cover how
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introducing things like a business
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scorecard and doing a state of the union
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helped the engineering team take more
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ownership of the product. How it was
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surprisingly helpful for us to get to
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know each other outside of work. And how
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this personal connection helped us work
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better together, especially as team
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leads, getting funding for engineering
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projects by secretly bootstrapping
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these, then showing to the business how
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much value they were already generating.
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Patterns and anti-atterns of standout
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software engineers and many more. This
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episode is different from most podcast
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episodes in how you'll hear both AB and
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myself talk a lot about our experiences
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and observations as we got better
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working together. And this episode is
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really about the learnings that both of
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us had. If you're an engineering leader
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or a product leader and want to hear
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about tactics on how to better work with
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your other counterpart, this episode is
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for you. If you enjoy the show, please
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do subscribe to the podcast on any
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podcast platform and on YouTube. Welcome
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to the podcast. Welcome. Thank you.
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Welcome. Thank you. Welcome too.
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we did end up working really really well
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together like I think to like it it was
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the most productive working relationship
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that I had uh in my professional career
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and and also it's just very rare to see
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so we turned like this small side in
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Amsterdam we kept growing we kept
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getting more headcount and we did that
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because we kept delivering results we
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had just outstanding business results in
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terms of how much additional money we
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generated for the business two years
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before you just came to to
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uh Amsterdam. You joined as a as a new
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PM. We didn't really know you.
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My I I I was a new EM and and my team
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was a bit burned from like this this
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this massive project and we had a large
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backlog in front of us and we just it
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was just all all messy. We just had to
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build. So our team during Helix the
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rewrite we had a clear vision but before
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that most of my team it was a new team
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we called it writer payments but before
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it was called Apac growth and actually
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in the in in the newsletter I now have a
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growth article which which we'll link in
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the notes below but the thing about the
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growth team is it's not long lived like
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it was just shipping individual project
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and so I had a team that kind of built a
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bunch of payment methods here and there
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our road map was built like 20 more
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there was no no coherence And then you
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showed up and then I I'll be honest, I
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was a little upset because the first
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thing you you start to do is you you
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came to a meeting and this is just
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strange because I'm just saying how it
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was you you shared how the product
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review meeting went really badly and I
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was like what what are you doing? Like
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you're demotivated demotivating all of
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the engineers and and the engineers were
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blinking. They're like what's going on?
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You were you were saying look if if we
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don't focus like you know we might not
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get headcount. They're like are we going
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to get fired? And I was just sitting in
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that meeting. I was the engineering
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manager of this team again, a new
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engineering manager. I was like, "What
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is she doing?" Like, "What are you
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trying to do? Are you trying to are you
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trying to like and that was that?"
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That's how it started.
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What product review is this? Do you
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remember? Uh I I I think it was a pretty
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early one, but I think was it a weekly
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review meeting that we had? So it it was
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the weekly meeting. So, we had a weekly
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team meeting and you you attended I
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didn't even know until then, by the way,
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that that a product review existed
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because my the previous product managers
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never told me about this, but you told
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me like, "Oh, I've just been at this
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this monthly product product review and
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here's what I presented and here's what
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I heard." And you just gave us very
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wrong to us and you told us some kind of
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bad news about like how it's, you know,
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things are not looking good right now.
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Yeah. Which was a blessing is it was
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always a bless. The cander is always a
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blessing and a curse. I I we both live
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in in the Netherlands and people sort of
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say the Dutch are very direct and I'm
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like they haven't met Nigerians.
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Yeah. But but this this is how it
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started. So I I was blinking and I I I
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think afterwards I pulled you out like
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like was I asked you are we on the same
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team like or something like that. Yeah.
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Exactly. And and and I think we kept we
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kept stepping on each other's toes as
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well. I remember that earlier on because
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you know I would present something or
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you would present something and I'm like
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and because you would also there was as
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it should be right but there was a gap
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in product at the time you were stepping
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in and doing a bunch of things like like
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st remember the the jelly bean cheat we
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had with the staffing um which at the
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end we didn't have that but like at the
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beginning it was so we was so important
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to to have context and like who is doing
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what like I knew until today I still
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make a point of like who are the key
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engineers working on every effort and
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not just that like the em the reports
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into my director peer but like who's the
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TL who's the person like really under
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you understand what I mean and I I don't
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feel I don't hold back like needing to
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ping in fact we encourage as we used to
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do putting everybody in the same chat
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space so that the conversation just
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flows so I'm literally seeing oh I'm
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blocked on the CL like I can see it
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right and I think that's just that's
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just good practice is to have this
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shared understanding but going back to
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the directness maybe knowing what I know
[06:17] (377.52s)
now I've also try to tried to refine my
[06:20] (380.48s)
approach to onboarding right so there is
[06:23] (383.12s)
an element of like yeah okay you can be
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direct but um trust is trust is given
[06:30] (390.24s)
and then you earn more of it this
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episode is brought to you by work OS if
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You know what later happened actually
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turned out to be an amazing thing
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because before that for like what
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happened is none of the engineers and as
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an engine manager neither did I I didn't
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know a monthly product review existed
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that product managers went there and
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they they presented their teams also at
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Uber product gave us headcount which was
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unusual I think at some maybe some
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companies work like this so we were
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always dependent on product and because
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of this in hindsight it would have been
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really important to know that it exists
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what's the perception what's going on
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what's product happening and And you
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know you started to do this every every
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every month or so you share it and and
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we start to understand oh this is the
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what does what does product care about
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right the product team is the
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combination of all the differences it's
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the edge like when you say product
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product is you too and that was
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something we we really made a culture in
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our team like product is all of us
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combined there's no I am waiting for the
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PRD I'm blocked on product said this and
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it's almost like oh product said this
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and we think it's too much scope and
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that's not you know that is not a
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cohesive product team actually because
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again if we were a startup you would not
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be using that language you would not be
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saying oh product said you'd be going
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wait hold on why are we doing that we
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have you know you would have skin in the
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game and so I think what it came down
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comes down to actually is one is there's
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this I think in big tech over time this
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belief that engineers, some engineers
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want that, but that engineers want to be
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shielded from the reality of what's
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going on. Yeah. But actually, if those
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engineers quit and went to a startup
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tomorrow to build something, they would
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want to look at the dashboards and see
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what was going on and how the numbers
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were going. They would want to know how
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much runway we have. They would want to
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know if, you know, we're we're hitting
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the growth numbers. They would want to
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know which round, you know, like you
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would be as involved. So, why is it any
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different? And so I think a couple of
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things happened that we were able to to
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come to. One is a fundamental belief and
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took us a while to get there, but that
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actually we want the same thing. Yeah.
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And and it it sounds obvious we're on
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the same team, but actually sometimes
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I've seen product leaders and
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engineering leaders like PM
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specifically. So I I consider everybody
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in that group a product leader the UX
[09:44] (584.16s)
UXR data science but I see PMSGE UX you
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know you see UX say like oh I would I
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would love to have more polish but
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always cuts my scope like the moment you
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start having those does does the UX
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person understand that there is
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literally a missionritical thing that
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needs to ship and actually the polish
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might add two more sweet quarters and I
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would actually love for the like my UX
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partner now at Google is so good at this
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he's like I'm not happy with the way
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that looks But let's do that and
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there'll be a fast follow because again
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if that was a runway and you needed to
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ship the product you would be like is
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this good enough to get us customer love
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and and viability and usability and
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you'd be able to balance that tradeoff
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and you would ship it. You wouldn't hold
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it back because UX believes in Figma, it
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should look pretty and engineering
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disagrees. Like that's not how it works.
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Same goes for edge, right? You would not
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um say actually I want to do the most
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elegant way to build this thing. I know
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there's tech debt that's going to come
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in because you know you would be mindful
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of the fact that actually there's a real
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business that has implications. So I
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think at the core what we did very well
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was we also had lots of wins. We also
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had numbers how many people were using
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payments how many you know the
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conversion rate but it's actually having
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a scorecard. We had that scorecard which
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is a table with our P 0 metrics as we
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would if we were a startup and we had
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the numbers that we cared about like you
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know the the gross book the gross number
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the conversion rate the failed payments
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the cancellations etc that was cash etc
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etc and so by making it feel more like a
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business so it's not like you know
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products are showing these bad things
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actually as a collective we have a
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perception we have not hit our numbers.
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You create this sort of ownership going
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back to skin in the game. Yeah. And now
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you have engineers even coming up with
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ideas like we actually should create a
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web platform because it will unlock
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Bookings because if you look at like
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Door Dash compared to Uber Eats, I mean
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that came purely from two engineers on
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on the team, right? And maybe we can
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describe it cuz I'm not sure it'll be
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clear for everyone who's who's not not
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been there before, you know, like we
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like, you know, we had engineering and
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we had product and we would have a
[11:58] (718.88s)
shared weekly meeting and, you know, the
[12:00] (720.64s)
product manager would be there. We would
[12:02] (722.24s)
share the the pro here's the progress on
[12:05] (725.04s)
these projects, those projects. Okay,
[12:07] (727.68s)
that would be it. And then we would talk
[12:09] (729.04s)
a bunch you know the the second half of
[12:10] (730.72s)
the meeting will be about tech depth
[12:11] (731.92s)
because it was you know it was a team
[12:13] (733.28s)
meeting but the team was 10 engineers
[12:15] (735.04s)
one product manager and one operations
[12:17] (737.12s)
person who was usually quiet. This was
[12:19] (739.36s)
before this was before before you joined
[12:22] (742.00s)
and uh at the time you know most
[12:24] (744.80s)
engineers on my team they were very very
[12:27] (747.12s)
interested and focused on paying down
[12:28] (748.64s)
tech because we had so much it was just
[12:30] (750.32s)
so painful developer experience
[12:32] (752.24s)
improvements etc. you know, everyone was
[12:33] (753.76s)
busy with that. And back then, we
[12:36] (756.00s)
weren't really cared about promotions
[12:37] (757.52s)
because it wasn't the thing just yet,
[12:38] (758.96s)
right? But then you came in and you
[12:41] (761.44s)
started to bring and we started to
[12:43] (763.12s)
change. So, first of all, you and me
[12:44] (764.32s)
start to as I was the engineering
[12:45] (765.52s)
manager, we started to talk a lot more
[12:47] (767.28s)
like we actually had one-on- ones, which
[12:49] (769.36s)
I never had before with with my product
[12:51] (771.68s)
manager. Like every week we would spend
[12:53] (773.20s)
like 30 minutes of, you know, like what
[12:55] (775.04s)
what what's on your mind? And I would be
[12:56] (776.72s)
like, well, you know, there's this
[12:58] (778.08s)
person on on on my team who's having I
[13:01] (781.04s)
don't know, like some trouble and and
[13:03] (783.28s)
I'm I'm working with them or like this
[13:05] (785.04s)
person's doing great. So, like, you
[13:06] (786.24s)
actually learned like a lot about my
[13:08] (788.40s)
team. I actually learned a lot about
[13:09] (789.76s)
what you were doing like, oh, we're
[13:11] (791.36s)
we're having this review about headcount
[13:13] (793.28s)
in in a month and I don't feel we're
[13:14] (794.72s)
ready. And I was like, oh, can can that
[13:16] (796.24s)
help something? So, suddenly we started
[13:18] (798.48s)
to do that. Then on the team meetings
[13:21] (801.76s)
you would there would be a usually a
[13:23] (803.92s)
section on product which would either be
[13:26] (806.24s)
like all right here's like here's what
[13:28] (808.64s)
we're talking about the product side of
[13:30] (810.24s)
things and initially it would start
[13:31] (811.68s)
pretty soft. So after that first one it
[13:34] (814.16s)
would it would just be bit of
[13:35] (815.52s)
introduction but it would all of our
[13:36] (816.96s)
meetings would usually always start with
[13:38] (818.80s)
product like here's here's on the
[13:41] (821.04s)
product side of things here's the wins
[13:42] (822.32s)
that we're seeing here's here's what's
[13:44] (824.00s)
working here's here's what we're working
[13:46] (826.08s)
on with with designers any engineer who
[13:47] (827.92s)
wants to be involved results objectives
[13:50] (830.16s)
challenges that was the format yes
[13:53] (833.92s)
thing rock yeah
[13:56] (836.00s)
and and and then an interesting thing
[13:58] (838.08s)
started to happen you know engineers
[13:59] (839.92s)
eventually would start to chip in you
[14:02] (842.16s)
Usually the schedule would have been
[14:04] (844.00s)
like 5 minutes or 10 minutes of product,
[14:05] (845.84s)
five minutes or 10 minutes upgrade and
[14:07] (847.44s)
often it would just stretch out because
[14:08] (848.80s)
because you know engineers on on the
[14:10] (850.80s)
team would be like oh what about that?
[14:12] (852.32s)
What if we did that? because you're like
[14:14] (854.48s)
and then we got to the point where after
[14:16] (856.72s)
a few months when the the next
[14:19] (859.96s)
half's planning was coming up on product
[14:22] (862.32s)
side of things actually some engineers
[14:23] (863.92s)
got involved of like oh let's help
[14:25] (865.20s)
define like how can
[14:27] (867.48s)
we how can I get this project
[14:29] (869.52s)
prioritized and it was like well like if
[14:31] (871.84s)
if any project that moves this or this
[14:34] (874.00s)
and this impact in our case it was uh
[14:37] (877.20s)
incremental growth booking so us making
[14:39] (879.04s)
more money uh at some points we cared
[14:41] (881.44s)
about writer growth in certain areas so
[14:44] (884.00s)
we can lose money on riders but we just
[14:45] (885.76s)
want to grow f first riders turn
[14:48] (888.00s)
percentage etc. And engineers start to
[14:50] (890.32s)
bring some ideas and and suddenly it
[14:52] (892.56s)
felt a lot less of like oh here's the
[14:54] (894.64s)
you know list we need to take off and
[14:56] (896.08s)
let's just let's just get through the
[14:57] (897.76s)
stuff that we so we get to the tech dub.
[14:59] (899.60s)
It was more about okay let's do the
[15:01] (901.20s)
important stuff and let's figure out do
[15:02] (902.96s)
we need to do this do we and suddenly it
[15:04] (904.96s)
just felt a lot more like yeah like a
[15:06] (906.72s)
startup inside inside a big company.
[15:08] (908.64s)
This was a $60 billion company at that
[15:10] (910.48s)
point. Yeah. A couple of tactical things
[15:12] (912.08s)
that maybe not tactics, I think actually
[15:14] (914.00s)
strategic things that we did was Do you
[15:16] (916.16s)
remember State of the Union? Yes. Right.
[15:19] (919.92s)
I think State of the Union. Can you
[15:21] (921.60s)
describe because that's so unique. I've
[15:22] (922.88s)
never seen It's funny cuz I'm about to
[15:24] (924.24s)
do one right now at Google and I was
[15:25] (925.60s)
like, "We're going to do a State of the
[15:26] (926.84s)
Union." And um I think after we had
[15:30] (930.60s)
those, you know, those sessions and you
[15:33] (933.04s)
and I met up, I came to you and I said,
[15:35] (935.12s)
"Listen, I'm going to take I want to
[15:36] (936.48s)
take a day off. We're going to go into a
[15:38] (938.88s)
room together. we're going to plan a
[15:40] (940.88s)
state of the union. And when I had
[15:43] (943.60s)
joined the team, I had had one-on- ones
[15:45] (945.36s)
with the different so it's part of now
[15:47] (947.28s)
my onboarding playbook. It was not a
[15:48] (948.96s)
playbook then, but I called them
[15:51] (951.00s)
conversations, comprehension,
[15:52] (952.96s)
conviction. So when I joined, if you
[15:54] (954.80s)
remember, I'd met different engineers
[15:56] (956.56s)
one-on-one. Yeah. And I asked one of the
[15:58] (958.80s)
questions, my last question is um um if
[16:01] (961.92s)
you were me starting in this role, what
[16:05] (965.44s)
are three things you would focus on in
[16:06] (966.88s)
the next 90 days? And they, a lot of
[16:09] (969.68s)
them came back and they talked about on
[16:11] (971.12s)
call. Yep. Do you remember? Yes. They
[16:15] (975.44s)
came back and talked and I was like in
[16:16] (976.96s)
my head I'm so embarrassed about we had
[16:18] (978.96s)
terrible on call. I was like I have
[16:20] (980.56s)
nightmares about it. From everything
[16:21] (981.76s)
I've read cuz I've never been a PM
[16:23] (983.04s)
before. I was like from everything I've
[16:24] (984.96s)
read this did not show up in my how to
[16:27] (987.92s)
be a PM manual. Like how is on call
[16:31] (991.44s)
something I like why do they expect me
[16:33] (993.28s)
as a PM to do that? But I recognized I
[16:35] (995.52s)
was like, "Oh, some there's something a
[16:37] (997.68s)
miss remiss here." So we then met up and
[16:40] (1000.88s)
I still I can't remember the exact uh
[16:42] (1002.56s)
flow but essentially had the state of
[16:44] (1004.16s)
the union had won how much we've
[16:46] (1006.56s)
accomplished and we had this graph where
[16:48] (1008.56s)
we showed how much incremental payments
[16:50] (1010.56s)
and it was the equivalent of some
[16:52] (1012.48s)
country in um the Polynesian islands. Do
[16:55] (1015.92s)
you remember it? It was bigger than a
[16:57] (1017.28s)
country. It was bigger than a country
[16:58] (1018.32s)
and we were like we've had that much
[16:59] (1019.76s)
impact. That was like the first slide.
[17:00] (1020.88s)
And I still remember that it was like
[17:02] (1022.08s)
green and then we talked about like all
[17:04] (1024.56s)
the markets we had launched and all the
[17:05] (1025.76s)
payment methods. So the wins and then we
[17:08] (1028.48s)
went into like um we had a team um we
[17:11] (1031.52s)
went into the dynamics of Uber and the
[17:14] (1034.64s)
markets and I remember showing like
[17:16] (1036.64s)
gross bookings depending on market and
[17:18] (1038.96s)
first trips by market and like the
[17:20] (1040.56s)
trends we were seeing that these markets
[17:22] (1042.40s)
Brazil, India, bricks basically were
[17:24] (1044.56s)
starting to like take off and push like
[17:26] (1046.40s)
a lot of first trips were no longer
[17:27] (1047.76s)
happening in the US or UK etc. And there
[17:30] (1050.72s)
were a lot of questions on that that
[17:32] (1052.48s)
because that then gave them empathy for
[17:35] (1055.04s)
why all these GMs are like you are
[17:37] (1057.92s)
holding me back by not allowing me take
[17:40] (1060.48s)
payments. Yeah. And we ran some numbers
[17:42] (1062.64s)
on cash as well. We were able to it was
[17:44] (1064.32s)
the first time we actually showed cash
[17:46] (1066.32s)
as a how how much percentage of cash is
[17:49] (1069.44s)
leading to um uh first trip. I mean, in
[17:52] (1072.40s)
that context, here's a fun fact because
[17:53] (1073.92s)
it's been so many years and the numbers
[17:55] (1075.76s)
are now w clearly out of date, but I
[17:58] (1078.40s)
remember this is I'm not sure people
[18:00] (1080.40s)
talked about this, but when cash hit $1
[18:02] (1082.48s)
billion of run rate, meaning on an
[18:04] (1084.56s)
annual basis, $1 billion were were
[18:07] (1087.44s)
flowing. That team, the team building
[18:10] (1090.40s)
cash had one full-time engineer, a half
[18:13] (1093.36s)
of data scientists, and a half an
[18:15] (1095.20s)
engineering manager, and a lot of
[18:16] (1096.96s)
operations people obviously.
[18:18] (1098.80s)
This team was begging to get headcount
[18:20] (1100.72s)
and with $1 billion of run rate. They
[18:23] (1103.28s)
they had to actually beat Uber Eats
[18:25] (1105.20s)
already. Yeah, they they had such a hard
[18:28] (1108.08s)
time. Well, we had such a hard time
[18:29] (1109.52s)
because this was a team next to me in
[18:30] (1110.56s)
Amsterdam getting headcount. So, it just
[18:32] (1112.96s)
blows my mind that this is possible
[18:34] (1114.72s)
these days. is I think if a startup you
[18:36] (1116.24s)
know hit we're talking about startups uh
[18:38] (1118.40s)
who are hitting you know the AI startups
[18:40] (1120.72s)
$und00 million of run rate etc which is
[18:42] (1122.40s)
which is incredible and obviously they
[18:45] (1125.12s)
you know they have 10 20 30 40 100
[18:47] (1127.84s)
people something like that is is still
[18:49] (1129.28s)
amazing but with one one one full-time
[18:51] (1131.68s)
engineer we did a billion dollars and we
[18:53] (1133.68s)
couldn't get headcount y and then
[18:56] (1136.24s)
eventually we got but this was just it
[18:58] (1138.80s)
showed me two things one you can do
[19:00] (1140.48s)
amazing things with a tiny team and
[19:03] (1143.52s)
sometimes Uh and one of the reasons and
[19:06] (1146.48s)
one one of the reasons we couldn't get
[19:07] (1147.92s)
it uh we were a distributed site we just
[19:11] (1151.60s)
you know the engine manager and the
[19:12] (1152.80s)
product manager who was there couldn't
[19:14] (1154.24s)
really tell a story and I think you know
[19:16] (1156.16s)
that's something that you help with uh
[19:18] (1158.00s)
later as well but I think it just comes
[19:20] (1160.40s)
comes to show that when you're inside a
[19:21] (1161.60s)
company especially if you're an engine
[19:23] (1163.36s)
manager or even a tech lead or a product
[19:25] (1165.12s)
manager you really need to tell the
[19:27] (1167.36s)
story of why your team exists how you're
[19:30] (1170.16s)
helping the business if you get more
[19:31] (1171.84s)
headcount how can you help them more and
[19:33] (1173.60s)
just as important ly if they take away
[19:35] (1175.04s)
your hatcount or get rid of a team that
[19:36] (1176.64s)
can happen what will happen there's
[19:38] (1178.24s)
something I I don't know if you remember
[19:39] (1179.52s)
this and this is one of the things that
[19:40] (1180.96s)
I think till date I will say is why I
[19:44] (1184.56s)
have so much respect for you when so we
[19:47] (1187.36s)
didn't have cash right we had writer
[19:49] (1189.12s)
payments yeah it was our and you know
[19:50] (1190.80s)
Charles who by the way deserves his own
[19:53] (1193.52s)
podcast phenomenal leader it's going to
[19:55] (1195.44s)
come on here but we had oh fantastic I I
[19:58] (1198.08s)
feel like I need to do the you know like
[19:59] (1199.36s)
on diary of CEO where you leave a
[20:00] (1200.80s)
question I feel like I need to leave a
[20:02] (1202.24s)
question for him um but anyway Anyway,
[20:04] (1204.32s)
um so he had basically that site right
[20:07] (1207.36s)
from an engineering perspective and I
[20:09] (1209.44s)
think one of the things we did so I went
[20:10] (1210.56s)
in I like at this time the PM for cash
[20:13] (1213.12s)
was not reporting into me but we went in
[20:15] (1215.04s)
a room I remember it was the the
[20:16] (1216.88s)
sleeping room the nap room cuz it was
[20:18] (1218.96s)
the only room you could get for that
[20:20] (1220.32s)
long. Yeah. No map we use for meetings,
[20:22] (1222.40s)
right? For meetings. And it was me, him
[20:24] (1224.40s)
and the data science uh uh lead um also
[20:27] (1227.84s)
Dutch guy. And we just jammed about sort
[20:31] (1231.04s)
of cash and its problems. And we
[20:33] (1233.60s)
realized we grouped them into like
[20:35] (1235.12s)
basically three buckets. One was
[20:36] (1236.80s)
basically do the right thing like trust
[20:38] (1238.08s)
and safety and the issues. The second
[20:40] (1240.16s)
one was actually there were a bunch of
[20:41] (1241.52s)
things on cash that actually were
[20:43] (1243.52s)
because of the way the system was
[20:44] (1244.96s)
designed. So Uber systems did not have
[20:48] (1248.16s)
to think about marketplace systems.
[20:50] (1250.00s)
Uber's marketplace systems did not have
[20:51] (1251.84s)
to think about low latency for payments
[20:54] (1254.24s)
because guess what? You'd walk out the
[20:55] (1255.92s)
car and you could afford to have 2
[20:59] (1259.04s)
minutes before your payment goes
[21:00] (1260.80s)
through. But with cash, you're sitting
[21:03] (1263.20s)
in the car and actually the way the
[21:05] (1265.84s)
business had told the story was always
[21:07] (1267.28s)
there's a problem with cash. There are
[21:08] (1268.40s)
all these issues with cash. There all
[21:09] (1269.76s)
these whatever. But actually when you
[21:10] (1270.88s)
broke it down, it wasn't actually cash.
[21:12] (1272.72s)
Cash was just showing an underlying
[21:14] (1274.40s)
issue of a latency issue with the
[21:16] (1276.40s)
marketplace team. So actually that gave
[21:18] (1278.08s)
us a narrative to say hey there are some
[21:19] (1279.68s)
P 0 that need to be fixed at the
[21:22] (1282.08s)
business level upfront pricing was
[21:23] (1283.68s)
another one right but then it was the
[21:26] (1286.08s)
final group of things was actually cash
[21:27] (1287.52s)
itself and improving the experience but
[21:29] (1289.44s)
something you did and you maybe don't
[21:30] (1290.96s)
remember this was we then put we said
[21:32] (1292.80s)
let's put all the headcount back into a
[21:35] (1295.00s)
pot and we all collectively agreed that
[21:37] (1297.76s)
cash was the number one thing and you
[21:39] (1299.68s)
actually Charles did that well well I
[21:41] (1301.84s)
mean but I was but you didn't fight you
[21:44] (1304.40s)
were like I agree and it's the right
[21:45] (1305.76s)
thing to do and I remember we're sitting
[21:46] (1306.96s)
in that big room and you some of your
[21:49] (1309.28s)
engineers moved over to the cash team to
[21:51] (1311.60s)
fund that effort because we're like
[21:52] (1312.96s)
we're not going to keep we're not going
[21:54] (1314.32s)
to get the wins and quite the noise
[21:57] (1317.04s)
until we fund this effort looking
[21:59] (1319.52s)
holistically. Um but going back to so
[22:02] (1322.24s)
yes so going back to state of the union
[22:04] (1324.32s)
the other thing that we did was and I I
[22:06] (1326.32s)
still find it hilarious that that you
[22:08] (1328.64s)
agreed to do this at the time because I
[22:09] (1329.92s)
was I I I don't know if I knew what I
[22:11] (1331.92s)
was doing. I was like, "So, this issue
[22:13] (1333.20s)
came up in my conversations about on
[22:14] (1334.88s)
call. Can we tell a story about on
[22:17] (1337.28s)
call?" And do you remember you you you
[22:19] (1339.36s)
were like, "I'm going to go look up some
[22:20] (1340.64s)
what do you want me to tell?" And we
[22:21] (1341.68s)
jammed on the topic. And you were like,
[22:23] (1343.20s)
"Okay, I can tell this story around
[22:24] (1344.96s)
what's the source of the on call." And a
[22:27] (1347.52s)
big one was like flakiness and
[22:29] (1349.12s)
regressions, like the two two chunks.
[22:32] (1352.08s)
And that's how we prioritize some of
[22:33] (1353.84s)
that work. So, we had three things in
[22:35] (1355.68s)
our planning right now, our weekly
[22:37] (1357.12s)
cadence. Um uh and I I I really have
[22:40] (1360.36s)
become a bit obsessed with like rhythms
[22:42] (1362.96s)
in teams because I think humans our
[22:45] (1365.00s)
hearts things work in rhythms and the
[22:47] (1367.44s)
more you have a rhythm that doesn't
[22:48] (1368.56s)
break the more people are in a groove
[22:50] (1370.64s)
right it's like if I start snapping and
[22:52] (1372.56s)
you can dance to my snapping you can now
[22:54] (1374.32s)
do funky things in the middle of the
[22:55] (1375.52s)
snapping but at least you know the steps
[22:57] (1377.12s)
and we all look like we're speed it up
[22:59] (1379.60s)
yeah right but still on the beat on the
[23:02] (1382.08s)
beat. And so, um, one of the things we
[23:05] (1385.12s)
had with our rhythm was we had our
[23:06] (1386.92s)
one-on-one. Then we would have I still
[23:09] (1389.52s)
have this dynamic, by the way. I call it
[23:10] (1390.88s)
I call it like, um, uh, it's like zoom
[23:13] (1393.12s)
in, zoom out, zoom in. Um, and so I
[23:16] (1396.08s)
would, we would meet, you and I would
[23:17] (1397.44s)
talk. We would also talk about personal
[23:19] (1399.20s)
stuff. We remember telling you about
[23:21] (1401.12s)
like my early dates. I remember you, you
[23:22] (1402.88s)
know, you were telling me about your
[23:24] (1404.16s)
wife starting to learn HTML. Like, we
[23:26] (1406.56s)
would talk about prep before the kids.
[23:27] (1407.92s)
We would talk about personal stuff. And
[23:29] (1409.92s)
we had to also allow space for that cuz
[23:32] (1412.56s)
sometimes it's like oh let's let's
[23:33] (1413.92s)
anyway moving on to the topic and it's
[23:35] (1415.36s)
like actually that stuff is important to
[23:37] (1417.76s)
understand who behind the role and and
[23:39] (1419.84s)
you know like there there was a point
[23:41] (1421.36s)
where I felt that we got closer cuz look
[23:44] (1424.48s)
like the way I looked at it I'm just
[23:45] (1425.84s)
going to be honest like how I felt like
[23:47] (1427.52s)
I was there I was in a new manager role
[23:49] (1429.28s)
I had so many things to do you know I I
[23:51] (1431.04s)
had stuff to do at work uh I was in a
[23:53] (1433.12s)
new country I had to take care of that
[23:55] (1435.08s)
stuff I I I had a lot lot of I was
[23:57] (1437.60s)
trying to keep the people happy on I was
[23:59] (1439.84s)
trying to keep my my leadership team
[24:01] (1441.68s)
happy because we had engine managers
[24:03] (1443.44s)
product was very separate. It was the
[24:05] (1445.20s)
different organization and you know you
[24:06] (1446.64s)
came in we we start to initially I was
[24:09] (1449.28s)
like okay what is this person doing and
[24:11] (1451.28s)
then I start to kind of understand but
[24:12] (1452.64s)
but we kind of kept it at the like okay
[24:14] (1454.56s)
you know like you're you're helping us
[24:16] (1456.72s)
the way I was thinking you're helping my
[24:18] (1458.56s)
team you know do better work that's
[24:20] (1460.08s)
great but one breakthrough was we
[24:22] (1462.16s)
actually just went and grabbed dinner.
[24:23] (1463.92s)
Yeah. And it was supposed to be I think
[24:26] (1466.00s)
two hours. I think we we say for a lot
[24:27] (1467.68s)
longer but I I just got to know the the
[24:31] (1471.52s)
person be behind the product manager and
[24:33] (1473.60s)
which is my second principle. There we
[24:35] (1475.84s)
go. So principle number one is the roles
[24:38] (1478.32s)
like the roles are a construct and
[24:40] (1480.96s)
actually the magic happens like Lori
[24:43] (1483.44s)
design manager that we got at the end
[24:45] (1485.44s)
she always used to say the magic happens
[24:46] (1486.88s)
in the confluence of our differences and
[24:48] (1488.48s)
I've totally stolen that line because
[24:50] (1490.00s)
it's true. Can you repeat that? The
[24:51] (1491.92s)
magic happens in the confluence of our
[24:54] (1494.00s)
differences. That's beautiful if you
[24:56] (1496.08s)
think about it, right? Or you think
[24:57] (1497.36s)
about the Steve Jobs throwing rocks in a
[24:59] (1499.36s)
washing machine. The more we tumble
[25:01] (1501.28s)
together, the more you and I came out as
[25:03] (1503.28s)
like perfectly polished pebbles. And
[25:05] (1505.20s)
actually, if you think about that
[25:06] (1506.24s)
friction as something that's good, then
[25:08] (1508.00s)
actually we're polishing each other and
[25:09] (1509.44s)
we're getting stronger versus I think a
[25:11] (1511.44s)
lot of people think of the conflict as
[25:13] (1513.68s)
adversaries where actually it's that
[25:16] (1516.16s)
tension is an opportunity, that friction
[25:18] (1518.32s)
is an opportunity, that pressure is an
[25:19] (1519.92s)
opportunity to be better, to create the
[25:21] (1521.92s)
diamonds and that's what we did. So the
[25:24] (1524.56s)
the we had the one-on-one where we would
[25:26] (1526.72s)
sync and we would go on a walk and etc.
[25:28] (1528.32s)
And we we started making it it a thing
[25:30] (1530.32s)
of having periodic out of office dinners
[25:33] (1533.28s)
or I came to your house and right so we
[25:35] (1535.92s)
made that a conscious thing and that's
[25:37] (1537.44s)
my second principle which is you really
[25:39] (1539.52s)
need to know the human behind the role
[25:41] (1541.20s)
like I just sent you a message um you
[25:43] (1543.20s)
know for your birthday because it's in
[25:45] (1545.52s)
my calendar and I I actually say this
[25:47] (1547.36s)
all the time and you know I'm like do
[25:49] (1549.12s)
you know your engineering manager's
[25:51] (1551.08s)
birthday and people literally give me a
[25:53] (1553.44s)
blank stare and I'm like that is
[25:54] (1554.96s)
literally the day this human showed
[25:57] (1557.92s)
on this planet. It is probably the most
[26:00] (1560.40s)
important day to them and you don't know
[26:02] (1562.32s)
it. So what are we doing? How are you
[26:05] (1565.28s)
going to have a joint vision and goal if
[26:07] (1567.60s)
you don't even know that? And I think
[26:09] (1569.44s)
it's so simple. We could generalize that
[26:10] (1570.96s)
as an engineering manager or as a team
[26:12] (1572.56s)
lead. The people on your team on your
[26:14] (1574.08s)
team like what are they you know we
[26:16] (1576.00s)
remember I remember when um when I you
[26:17] (1577.92s)
know I became the PM lead I knew when
[26:20] (1580.32s)
people wanted to were thinking of having
[26:22] (1582.24s)
kids were trying to do change mortgages
[26:25] (1585.04s)
where um you know as you know one of
[26:27] (1587.36s)
them uh had just moved a girlfriend from
[26:29] (1589.44s)
his home country and was moving in like
[26:32] (1592.24s)
the because that human is going to bring
[26:34] (1594.16s)
that into work whether you like it or
[26:35] (1595.44s)
not. You can say the whole leave the
[26:36] (1596.96s)
personal stuff that is not how humans
[26:38] (1598.64s)
work. we're not, you know, confined
[26:40] (1600.80s)
boxes. We don't work that way. So,
[26:42] (1602.72s)
that's one of my second principles,
[26:44] (1604.08s)
which is like, and the third is this
[26:45] (1605.44s)
notion of like the rhythm. And people
[26:48] (1608.00s)
take that for granted. Like, we never
[26:49] (1609.60s)
moved our one-on- ones. You never like
[26:51] (1611.44s)
randomly cancelled one-on- ones with
[26:52] (1612.80s)
your teams. Neither did I, right? Like,
[26:55] (1615.44s)
we had a cadence. And I can't stress
[26:58] (1618.16s)
that enough because humans are creatures
[27:01] (1621.36s)
of habit. So, we would have that
[27:03] (1623.04s)
one-on-one. We would talk it out. We
[27:05] (1625.52s)
would then have the team meeting. Then
[27:08] (1628.40s)
we would have the planning meeting where
[27:10] (1630.08s)
it would be you, me, and the other PM,
[27:11] (1631.92s)
remember? And we would come in and talk
[27:13] (1633.52s)
about like who's staffing what, what are
[27:14] (1634.96s)
the concerns, who's about to roll off a
[27:17] (1637.12s)
project, and do we have enough? We would
[27:18] (1638.80s)
talk about things like, oh, this
[27:20] (1640.24s)
person's just been in a slug doing this.
[27:21] (1641.76s)
We need to give them something exciting.
[27:23] (1643.20s)
Yeah. Remember, we would talk about that
[27:24] (1644.48s)
as well. Yeah. So, so, so basically, it
[27:26] (1646.08s)
felt to me that after a while, I was the
[27:28] (1648.72s)
injury manager and, you know, like in
[27:30] (1650.16s)
the end, it was my responsibility for,
[27:31] (1651.92s)
you know, someone is to be fired for
[27:33] (1653.68s)
whatever on the team that that would
[27:35] (1655.52s)
need to be me. But it felt to me there
[27:37] (1657.20s)
was we had like like you and and then we
[27:40] (1660.24s)
had another PM but you and me we were
[27:42] (1662.48s)
kind of like being engine managers
[27:44] (1664.40s)
together a little bit. So so you PM man
[27:46] (1666.88s)
PM leaders together and being PM leaders
[27:48] (1668.72s)
together and actually it worked
[27:49] (1669.76s)
wonderfully. So for example you like I
[27:51] (1671.76s)
would tell you whenever I saw you know
[27:53] (1673.68s)
good things or bad things about people
[27:55] (1675.12s)
people on my team for example like I I I
[27:57] (1677.36s)
knew when people were for example
[27:58] (1678.72s)
looking for a new job outside of work
[28:01] (1681.12s)
checking out kind of both checking out
[28:03] (1683.20s)
or or also looking for something new.
[28:04] (1684.64s)
And by the
[28:05] (1685.72s)
way, maybe I shouldn't say this, but I
[28:07] (1687.84s)
kind of encouraged it. I was like, look,
[28:09] (1689.36s)
I mean, I encourage it till today and I
[28:10] (1690.88s)
still work at Google. I'm like, it's
[28:12] (1692.56s)
it's so important. I actually say at
[28:15] (1695.60s)
more junior levels, you should probably
[28:17] (1697.44s)
have at least a recruiter conversation
[28:20] (1700.64s)
once every six months because here a
[28:23] (1703.44s)
couple of things and let's just let's
[28:25] (1705.16s)
just cut the BS and get to it, right?
[28:28] (1708.32s)
I've had to let people go at Uber. Yeah,
[28:32] (1712.00s)
we've all had to let people have a
[28:33] (1713.92s)
performance conversation or we've had to
[28:35] (1715.84s)
talk to somebody who wanted to go on to
[28:37] (1717.44s)
something else. And for example, one of
[28:39] (1719.04s)
the PMs on my team um who who you know
[28:41] (1721.92s)
you know he came to me a year before he
[28:44] (1724.96s)
got the role. We were literally having
[28:47] (1727.12s)
conversations about the right role and
[28:49] (1729.36s)
whether as he's interviewing for those
[28:51] (1731.28s)
roles, is there something in that role
[28:53] (1733.20s)
where he's like Uber doesn't offer that?
[28:55] (1735.76s)
And after we got that, we're like,
[28:56] (1736.96s)
"Okay, I think it's time. Actually,
[28:58] (1738.56s)
we've exhausted everything and it is the
[29:00] (1740.72s)
right time." But also, because we've
[29:02] (1742.56s)
been openly talking about it for a year,
[29:04] (1744.80s)
you genuinely know I care about you,
[29:07] (1747.04s)
right? And you you genuinely know that
[29:10] (1750.40s)
you want to leave this place in a in a
[29:13] (1753.84s)
you want to leave um uh your uh role in
[29:18] (1758.56s)
a sustainable place. We we very nicely
[29:20] (1760.96s)
set up his dotted line who now stepped
[29:23] (1763.76s)
up into that role who's now a head of
[29:25] (1765.20s)
product at Booking.com but like who
[29:27] (1767.04s)
stepped into that role nicely because we
[29:29] (1769.36s)
already knew it was coming. So I have
[29:30] (1770.96s)
this fundamental thing which is like the
[29:33] (1773.28s)
human transcends the job. Yeah. Right.
[29:36] (1776.72s)
And so it is your your your goal is to
[29:39] (1779.44s)
help them realize their full potential.
[29:42] (1782.40s)
It's not to realize their full potential
[29:43] (1783.84s)
in the job because their full potential
[29:45] (1785.52s)
may not be in the job, but actually if
[29:47] (1787.68s)
you come at it with this altruistic I
[29:50] (1790.48s)
deeply care about you, they will feel
[29:52] (1792.24s)
that and that actually works in your
[29:55] (1795.20s)
benefit like over time. They may leave,
[29:57] (1797.68s)
they may come back and so well and and
[30:00] (1800.08s)
also one one thing that I I feel it was
[30:03] (1803.36s)
an accident, but I I you know, we got to
[30:05] (1805.04s)
know each other on on a personal level.
[30:07] (1807.12s)
You would often advise me and I would I
[30:09] (1809.28s)
I would I would do the same thing on
[30:10] (1810.80s)
product, right? I will be like, "Oh,
[30:12] (1812.00s)
here's what I think we can do. Let me
[30:13] (1813.68s)
take some things on your plate." I had
[30:15] (1815.12s)
some engineers on my team. I I wrote an
[30:16] (1816.72s)
article called the product minded
[30:17] (1817.84s)
engineer, which is, you know, I uh I I
[30:21] (1821.12s)
get some good feedback for honestly with
[30:23] (1823.04s)
describing some engineers on my team.
[30:24] (1824.48s)
Some engineers as soon as we started to
[30:26] (1826.08s)
do these, you know, you know their
[30:27] (1827.92s)
names. Yeah. So do I. You start to tell
[30:31] (1831.12s)
like here here's the metrics, here's the
[30:32] (1832.40s)
business, some engineer, you know, some
[30:33] (1833.76s)
engineers didn't care that much and
[30:34] (1834.80s)
that's fine. But some were like really
[30:35] (1835.92s)
turned like oh okay, how how how can we
[30:38] (1838.56s)
have these wins? How can I help the
[30:39] (1839.92s)
business? you know, they love doing this
[30:41] (1841.12s)
thing and they came with ideas. They
[30:42] (1842.72s)
came with ideas and and sometimes when
[30:44] (1844.08s)
you tell me like, "Oh, I'm kind of
[30:45] (1845.12s)
swamped or or we need to do this but I
[30:46] (1846.64s)
don't have time." I'm like, "Oh, this
[30:47] (1847.92s)
person, this engineer would love to do
[30:49] (1849.44s)
it." So suddenly like our and a lot of
[30:51] (1851.76s)
it felt that it was about trust and one
[30:53] (1853.92s)
thing I see now I think you know if
[30:55] (1855.68s)
anyone takes away something if you're an
[30:58] (1858.56s)
engineering manager a tech lead a senior
[31:00] (1860.88s)
engineer or even just an engineer try to
[31:03] (1863.92s)
you know build like just trust the
[31:06] (1866.88s)
people around you you know build trust
[31:08] (1868.96s)
like meet them outside of work your
[31:10] (1870.88s)
product manager or people on the team
[31:12] (1872.40s)
because here here's the interesting
[31:13] (1873.68s)
thing you know the I feel these roles
[31:16] (1876.00s)
are kind of made up I'm just going to
[31:18] (1878.56s)
say it like like what what I did as an
[31:20] (1880.72s)
engineering manager you would think it's
[31:22] (1882.00s)
like in a box and there were some things
[31:23] (1883.20s)
that were expected of me but especially
[31:24] (1884.48s)
a startup it's made up and AI will
[31:26] (1886.88s)
change a lot of this thing but what will
[31:29] (1889.04s)
not change is if you
[31:31] (1891.24s)
trust some people you can figure it out
[31:33] (1893.76s)
so one of the reasons you know our team
[31:35] (1895.20s)
works so well and we actually didn't
[31:36] (1896.64s)
have anyone quit on the team like on
[31:39] (1899.60s)
four years that's crazy we had no
[31:41] (1901.64s)
attrition and like I think we should
[31:44] (1904.40s)
pause and let the saints flow in the
[31:46] (1906.48s)
well in the four and a half years I was
[31:48] (1908.00s)
there So we didn't have anyone leave
[31:50] (1910.00s)
Uber. We did have I think there's two
[31:53] (1913.12s)
people who the team was just not a good
[31:54] (1914.72s)
fit for them. Like it it was they
[31:56] (1916.88s)
weren't meant to do product work and
[31:58] (1918.64s)
they once we got that stable team
[32:00] (1920.72s)
literally it was that team for four
[32:02] (1922.56s)
years and it's not like there's some
[32:04] (1924.64s)
cities where there like no other
[32:05] (1925.84s)
options. This was around in a climate
[32:07] (1927.92s)
where you had like stripe coming in you
[32:10] (1930.48s)
had you know flexport you had you know
[32:13] (1933.52s)
all these these data bricks data bricks.
[32:16] (1936.32s)
Um, so you had a number of you had
[32:18] (1938.56s)
opportunities and I think at a certain
[32:20] (1940.24s)
point then we now got to a point where
[32:21] (1941.60s)
it was like the pandemic especially it
[32:23] (1943.92s)
was like okay now it's time people have
[32:25] (1945.28s)
kind of maxed out and also some of the
[32:27] (1947.44s)
stuff we wanted to do was scaled back
[32:29] (1949.36s)
even I like a year after I made the
[32:31] (1951.52s)
decision I'm like I have a clear number
[32:33] (1953.04s)
two and she was brilliant and stepped
[32:35] (1955.92s)
into the role but it it goes back to
[32:39] (1959.20s)
this this this thing that I I I think is
[32:42] (1962.08s)
at the core of it which
[32:43] (1963.64s)
is when people love and I like not
[32:47] (1967.88s)
just loving. So there's a definition of
[32:50] (1970.64s)
love that I like because um I'm about to
[32:53] (1973.44s)
to contradict myself by saying I like
[32:55] (1975.12s)
but like I'm not a fan of liking things,
[32:58] (1978.32s)
right? Because liking things feels very
[33:00] (1980.48s)
passive to me. And I I like things. I'm,
[33:03] (1983.92s)
you know, I like things. Um but actually
[33:06] (1986.16s)
even better, I love things and I dislike
[33:09] (1989.84s)
and hate things, right? And so and I I
[33:13] (1993.28s)
think about that. It took me a while as
[33:14] (1994.96s)
a as a leader to actually, you know,
[33:18] (1998.08s)
accept that about myself as well that
[33:19] (1999.76s)
not everyone's going to love it. Like
[33:21] (2001.60s)
some people are not going to love this
[33:23] (2003.76s)
way of working. Some people want to be
[33:26] (2006.40s)
mentally checked out, just do the bare
[33:28] (2008.24s)
minimum and work is work and you know
[33:30] (2010.72s)
and some people it consumes them. And we
[33:33] (2013.20s)
managed to get a team like most people
[33:36] (2016.16s)
on that team even those who thought they
[33:38] (2018.40s)
had started numbing became more product
[33:41] (2021.52s)
ccentric because it was just infectious
[33:44] (2024.24s)
of people around you are like you know
[33:46] (2026.88s)
so infected with this in love with this
[33:49] (2029.48s)
problem and love at its core I use um a
[33:55] (2035.12s)
definition by Bel Hooks and and she says
[33:57] (2037.68s)
you know love is the extension of
[34:01] (2041.00s)
oneself for the spiritual growth of
[34:04] (2044.16s)
another or of oneself. So self-love is
[34:07] (2047.84s)
I'm extending myself. I'm going out of
[34:10] (2050.00s)
my comfort zone. I'm reaching and doing
[34:13] (2053.36s)
more and being compassionate so that I
[34:15] (2055.84s)
can realize the full growth of myself.
[34:19] (2059.28s)
That's self-love. Or I care so much
[34:21] (2061.92s)
about Gerge. I'm extending myself
[34:24] (2064.08s)
because I feel like I love this person
[34:27] (2067.84s)
and I want him to reach the attainment
[34:30] (2070.08s)
of what engineering manager means and
[34:32] (2072.32s)
vice versa. And I genuinely felt that
[34:34] (2074.00s)
and I feel like we had that in the team.
[34:36] (2076.24s)
Yeah. To the extent that I I I I did the
[34:39] (2079.60s)
um I officiated one of our engineers
[34:42] (2082.48s)
marriages. You know this like are you
[34:44] (2084.88s)
kidding me? You know, I that's the
[34:47] (2087.36s)
height of my like you're such a friend
[34:50] (2090.56s)
and the love is so strong that I
[34:52] (2092.80s)
literally read your the vows of you and
[34:55] (2095.36s)
your like that is that you can't there
[34:58] (2098.72s)
is no price there's no you can't like
[35:01] (2101.44s)
there no words to describe how you
[35:03] (2103.04s)
attain that and that's all from this
[35:04] (2104.72s)
team right so no I do think that there's
[35:07] (2107.36s)
this element of like you know when you
[35:09] (2109.68s)
have the right people even when it's a
[35:11] (2111.36s)
small group of people who are willing to
[35:13] (2113.68s)
put skin in the game because they love a
[35:15] (2115.76s)
problem and love each other. There's so
[35:19] (2119.20s)
much magic. And I mean, we have a whole
[35:22] (2122.00s)
roster of things to show for that. Do
[35:23] (2123.84s)
you know how many like when I think back
[35:26] (2126.16s)
the amount of vision stuff that we the
[35:28] (2128.80s)
API that now processes over a billion
[35:30] (2130.88s)
dollars? Do you know this, by the way?
[35:32] (2132.32s)
Yeah. Uber Uber Pay, which for multiple
[35:35] (2135.84s)
years everyone said would never work.
[35:37] (2137.76s)
No. Um the web payment flow, which at
[35:40] (2140.32s)
the time were like only 2% of of traffic
[35:43] (2143.20s)
was going through web. And these two
[35:45] (2145.68s)
that was two engineers uh trying to come
[35:47] (2147.76s)
up with the idea business plan and we
[35:49] (2149.84s)
kind of ring fence them and let them
[35:51] (2151.20s)
build it up like we no so so what
[35:53] (2153.68s)
happened is I tried to I I asked for
[35:55] (2155.68s)
headcount for the for to get web
[35:57] (2157.12s)
payments because it was a really really
[35:58] (2158.32s)
good you know they they they brought it
[35:59] (2159.84s)
they actually put a business plan
[36:02] (2162.28s)
together you said it's great I said it's
[36:04] (2164.64s)
great I asked for headcount you know
[36:06] (2166.40s)
from my my management chain or or from
[36:08] (2168.72s)
product whichever it was and they said
[36:10] (2170.64s)
that sounds great but no and so what
[36:14] (2174.08s)
what what I did with with your support
[36:15] (2175.68s)
because you know we just trusted each
[36:17] (2177.12s)
other and we're like I mean we did we so
[36:19] (2179.76s)
so we just did it we we we we hit the
[36:21] (2181.60s)
two people we still shipped every
[36:23] (2183.12s)
everyone of our product and then we came
[36:24] (2184.56s)
back in 6 months saying like oh so we've
[36:26] (2186.56s)
now built this we have this many
[36:28] (2188.16s)
customers uh we we now like this many
[36:30] (2190.64s)
extra head cannon and and here's the
[36:32] (2192.16s)
business that we're driving now and if
[36:34] (2194.08s)
we you know if we don't get it like we
[36:35] (2195.36s)
have to just shut it down and they're
[36:36] (2196.72s)
like oh okay I guess that makes sense
[36:38] (2198.72s)
yeah that's a no-brainer well even more
[36:40] (2200.48s)
like like like that's a little there was
[36:44] (2204.08s)
a another policy thing that came up
[36:46] (2206.08s)
because you know it started to become a
[36:48] (2208.24s)
bigger bigger and bigger company but but
[36:49] (2209.92s)
you know and especially the EU was you
[36:51] (2211.84s)
know everything the a lot of policies
[36:53] (2213.84s)
and there was a policy was coming up in
[36:56] (2216.00s)
France oh yes do you remember yeah and
[36:58] (2218.48s)
we were like holy cow how the hell are
[37:00] (2220.32s)
we going to add this to our road yes and
[37:03] (2223.20s)
um never mind the we won't talk about
[37:04] (2224.80s)
the comment the PM left um who I will I
[37:07] (2227.60s)
will stand by till today for
[37:11] (2231.32s)
craftsmanship like this team came and
[37:13] (2233.52s)
said, "You have to build this thing.
[37:14] (2234.56s)
It's a directive from DAR." And the PM
[37:17] (2237.04s)
said, they edited the comment later on.
[37:18] (2238.80s)
I saw it was edited. I I wanted to
[37:20] (2240.40s)
screenshot it and save it. And he said,
[37:22] (2242.08s)
"I don't care who came up with this. It
[37:24] (2244.16s)
is a bad user experience. And I don't
[37:26] (2246.40s)
care if you give me um Dar's name signed
[37:29] (2249.28s)
in blood. I am not approving this." And
[37:30] (2250.96s)
I was like, "Wow." Like, do you know
[37:33] (2253.84s)
what it t do you know how much skin how
[37:35] (2255.76s)
much guts you have to have in your
[37:37] (2257.12s)
decision to do that? But anyway, he he
[37:38] (2258.72s)
so he did that. It just showed you the
[37:40] (2260.80s)
kind of love we had for shipping the
[37:42] (2262.40s)
right product. Um but maybe don't say
[37:45] (2265.28s)
co's name in blood next time. But
[37:46] (2266.80s)
anyway, um these two engineers then came
[37:48] (2268.96s)
up and suggested building instead of
[37:51] (2271.12s)
because Uber Eats had built their own
[37:52] (2272.88s)
like a flow which didn't have this the
[37:55] (2275.60s)
the policy stuff that we needed and they
[37:57] (2277.44s)
were like okay we're actually going to
[37:58] (2278.40s)
build this and use it as the web
[38:01] (2281.48s)
platform that everybody can use across
[38:04] (2284.08s)
the different products. So they actually
[38:05] (2285.84s)
used a real problem which I think is a
[38:07] (2287.92s)
very important thing that people miss
[38:10] (2290.24s)
when it comes to vision setting and
[38:12] (2292.08s)
getting a win is that it's very hard
[38:15] (2295.20s)
actually even at my level to come up
[38:17] (2297.52s)
with something that is
[38:19] (2299.64s)
novel right that no one can see and
[38:23] (2303.84s)
somehow magically miraculously get the
[38:26] (2306.56s)
blessing to just go off and do it. So,
[38:29] (2309.12s)
so you're you're you're specifically
[38:31] (2311.04s)
talking about getting headc count for a
[38:32] (2312.56s)
team may that be a platform or a
[38:34] (2314.32s)
product. Even at my level, it is so hard
[38:36] (2316.24s)
to pull that off. You're director of
[38:38] (2318.08s)
product. I'm a director of product like
[38:39] (2319.92s)
my my skip level, sorry, my uh my uh
[38:43] (2323.28s)
manager is a VP. That's like into big
[38:45] (2325.52s)
tech. That's the height of it, right?
[38:47] (2327.36s)
They're only like five SVPs at Google or
[38:49] (2329.68s)
something. So, like that's the height of
[38:51] (2331.20s)
your career. So even at that it is so
[38:53] (2333.20s)
hard to say I'm going to ring fence five
[38:54] (2334.88s)
people to go play around with this new
[38:57] (2337.04s)
thing with no direct like no direct core
[38:59] (2339.44s)
problem. The best ways we you and I
[39:02] (2342.08s)
always got visions off the ground was we
[39:04] (2344.40s)
took a problem. So in the case of Uber
[39:06] (2346.40s)
pay well they needed us to integrate a
[39:08] (2348.48s)
payment method and instead of just
[39:10] (2350.24s)
building that integration which we would
[39:11] (2351.76s)
have done which took I still remember
[39:12] (2352.96s)
till today 14 weeks of engineering we
[39:15] (2355.84s)
have we have the lingo. We said,
[39:17] (2357.84s)
"Actually, we're going to use it to
[39:19] (2359.04s)
bootstrap this
[39:20] (2360.84s)
API, integrate this partner in Latin
[39:23] (2363.76s)
America. We'll still give you the thing
[39:25] (2365.68s)
you want, but use this slightly longer
[39:28] (2368.72s)
to get you something that actually
[39:30] (2370.08s)
unlocks many more payment methods." And
[39:32] (2372.16s)
we did that every single time. Before we
[39:34] (2374.72s)
jump back into the episode, I want to
[39:36] (2376.16s)
let you know that the audiobook version
[39:37] (2377.60s)
of my bestselling book, The Software
[39:39] (2379.20s)
Engineers Guide Book, is out now. You
[39:41] (2381.04s)
can get it on all major audiobook
[39:42] (2382.72s)
platforms like Spotify, Audible,
[39:44] (2384.72s)
Liberal.fm, FM Apple books to Google
[39:46] (2386.56s)
Play and also DRM free MP3 files. I
[39:50] (2390.00s)
started writing this book after a decade
[39:51] (2391.52s)
of working as a software engineer when I
[39:53] (2393.28s)
was working as an engineering manager
[39:54] (2394.96s)
for a few years already at Uber. Here's
[39:57] (2397.60s)
a review from the book from senior
[39:59] (2399.04s)
principal engineer Tanya Reley who is
[40:01] (2401.04s)
the author of the staff engineer's path.
[40:03] (2403.52s)
From performance reviews to P95 latency,
[40:06] (2406.00s)
from team dynamics to testing, GG
[40:08] (2408.32s)
diversifies all aspects of a software
[40:10] (2410.08s)
career. This book is well named. It
[40:12] (2412.16s)
really does feel like the missing
[40:13] (2413.28s)
guidebook for the whole industry. You
[40:15] (2415.68s)
can get the book at ngeguidebook.com or
[40:18] (2418.08s)
search for the software engineers guide
[40:19] (2419.44s)
book on your favorite audiobook
[40:20] (2420.80s)
platform. I hope you'll enjoy it. And I
[40:23] (2423.36s)
think this is a tactic like I've gotten
[40:25] (2425.12s)
a lot of questions especially since I
[40:26] (2426.80s)
wrote the book building mobile apps at
[40:28] (2428.32s)
scale about how to fund a platform team.
[40:30] (2430.24s)
And a lot of engine managers ask this
[40:31] (2431.76s)
like I'm now growing. I would like a
[40:33] (2433.20s)
platform team. How can I fund it? How
[40:34] (2434.88s)
can I make a business case? And there's
[40:36] (2436.08s)
a template. But I think the secret to
[40:38] (2438.24s)
funding any engineering team is build
[40:41] (2441.20s)
something without funding and then show
[40:43] (2443.76s)
it. May that be a prototype or
[40:45] (2445.84s)
something, but show that it's going to
[40:46] (2446.96s)
make money for if if it makes money for
[40:48] (2448.88s)
the business or it's it saves money for
[40:51] (2451.36s)
the business, you should have a case.
[40:52] (2452.64s)
And if it doesn't grow or whatever, and
[40:54] (2454.16s)
if it doesn't do either that they care
[40:55] (2455.92s)
about, then what's the point, right?
[40:58] (2458.08s)
Especially these days now that companies
[40:59] (2459.76s)
are paying about efficiency clear value
[41:01] (2461.44s)
ad in doing it once and yes you always
[41:04] (2464.80s)
have to trade off like our design you
[41:06] (2466.32s)
always say you're always trading off
[41:07] (2467.92s)
relevance versus
[41:09] (2469.72s)
consistency. You may not get the 100%
[41:12] (2472.48s)
optimized version for your specific use
[41:14] (2474.72s)
case because ultimately what is
[41:15] (2475.84s)
platform? A platform is a stage that
[41:18] (2478.80s)
allows multiple teams dance on it. So
[41:21] (2481.12s)
each person isn't building their own
[41:22] (2482.88s)
podium, right? Like that's that's really
[41:25] (2485.52s)
how I like to think about it. If no one
[41:26] (2486.96s)
is dancing on your platform and you
[41:29] (2489.36s)
can't, you know, then why do you exist?
[41:31] (2491.60s)
I might as well go build my own stage or
[41:33] (2493.04s)
if I don't need one, right? Then
[41:35] (2495.04s)
actually we don't do platform for
[41:36] (2496.80s)
platform's sake. But in this case, we're
[41:38] (2498.48s)
like, we're going to give you a stage,
[41:40] (2500.00s)
this web platform thing, it works. We
[41:43] (2503.04s)
have a proven case and it means that you
[41:45] (2505.12s)
don't have to waste your resources
[41:46] (2506.32s)
building that platform again. Just dance
[41:48] (2508.32s)
on it. And it's like, you know what,
[41:50] (2510.08s)
maybe I need to share it with other
[41:51] (2511.12s)
people. Maybe it's not exactly what I
[41:52] (2512.48s)
wanted, but actually I can go use that
[41:54] (2514.72s)
extra resource to put more lights or
[41:56] (2516.80s)
change the outfit or whatever. I mean, I
[41:58] (2518.48s)
like using human analogies for these
[42:00] (2520.08s)
things, but I think that's such a
[42:02] (2522.00s)
crucial thing cuz when we go back and
[42:03] (2523.76s)
look at all these things that we
[42:04] (2524.80s)
bootstrapped, we always used a very
[42:07] (2527.68s)
small example of a problem and turned it
[42:10] (2530.80s)
into something that we actually wanted
[42:12] (2532.56s)
to realize in our vision. Yeah. Right.
[42:14] (2534.96s)
And so in a
[42:17] (2537.40s)
way at the worst case, if you think
[42:20] (2540.08s)
about it, you've solved the problem
[42:21] (2541.76s)
still. Yeah. Best case, you've actually
[42:24] (2544.72s)
built something that creates a billion
[42:26] (2546.00s)
dollars. Yeah. Right. Like like Yeah.
[42:29] (2549.60s)
It's kind of win-win. Yeah. And I I I
[42:32] (2552.08s)
think it's good good to remind like, you
[42:33] (2553.76s)
know, anyone working in engineering that
[42:35] (2555.52s)
it's not supposed to be easy. Like it's
[42:37] (2557.04s)
not supposed to be easy to to get
[42:38] (2558.96s)
headcount or do a new new initiative. So
[42:41] (2561.28s)
you know, you need to put a startup. You
[42:43] (2563.12s)
have to show if I went and said it is
[42:45] (2565.36s)
it's it's a very different game. So when
[42:47] (2567.76s)
you're raising preede so I do a lot of
[42:49] (2569.36s)
angel investing and I actually do it
[42:51] (2571.04s)
honestly I've lost way more money than
[42:52] (2572.40s)
I've gained which is part of the the
[42:53] (2573.68s)
thing but actually I I do these things
[42:56] (2576.68s)
because I like to see what parts of
[43:00] (2580.80s)
something I've learned a skill or you
[43:03] (2583.36s)
know like knowledge. I like to figure
[43:06] (2586.00s)
out how much of this is a pattern that
[43:08] (2588.72s)
is reusable like I can reuse it versus
[43:11] (2591.04s)
how much of this is something that's
[43:12] (2592.48s)
just contained in what I'm doing right
[43:16] (2596.64s)
and so my onboarding flow like you know
[43:20] (2600.80s)
um uh conversations uh comprehension
[43:23] (2603.92s)
conviction I have used that to onboard
[43:25] (2605.68s)
into many roles I've used it my my board
[43:28] (2608.16s)
position I've used it um that Lego that
[43:31] (2611.28s)
Lego I used it the same framework I've
[43:33] (2613.44s)
used you know like I I I remember
[43:35] (2615.12s)
sitting with the uh chairman of the Lego
[43:37] (2617.04s)
board, the the fourth generation. I was
[43:38] (2618.64s)
like, for the first month or so or two,
[43:41] (2621.44s)
it's I'm going to look dumb because I'm
[43:43] (2623.28s)
just going to be listening and tell me
[43:44] (2624.40s)
who I need to talk to. And I asked all
[43:46] (2626.08s)
of them similar questions. Same
[43:47] (2627.92s)
playbook. Then I came back. I was like,
[43:49] (2629.44s)
here's what I understand. And then I
[43:51] (2631.04s)
came back and said, here's what I
[43:52] (2632.32s)
fundamentally think we should be doing.
[43:53] (2633.92s)
Even though, you know, as a board you
[43:55] (2635.20s)
can have conviction, but ultimately the
[43:57] (2637.04s)
exact team is the what the exact team.
[43:59] (2639.12s)
But I've used that. I also used it when
[44:00] (2640.64s)
I took on my um ERG chairmanship within
[44:03] (2643.32s)
Google. Same playbook, different people,
[44:05] (2645.92s)
nothing to do with tech. So I'm like,
[44:07] (2647.36s)
"Oh, this thing is a rinse and repeat."
[44:09] (2649.28s)
So now I can teach someone that playbook
[44:11] (2651.20s)
and stand in it. Same goes for like
[44:13] (2653.36s)
vision setting. I did vision setting in
[44:15] (2655.36s)
my GM role. I did it again with our
[44:17] (2657.60s)
state of the union, right? I did it
[44:20] (2660.08s)
again when I joined Netflix. I did it
[44:22] (2662.24s)
again when I joined Google. Now it's
[44:24] (2664.24s)
worked so many times. I'm like, "Oh,
[44:25] (2665.44s)
this is a playbook. I like I know I have
[44:27] (2667.36s)
a playbook here and I know what doesn't
[44:29] (2669.04s)
work and what d things knobs I need to
[44:31] (2671.36s)
twist. Same goes for like fundraising
[44:34] (2674.16s)
and what I call perception shifting
[44:36] (2676.40s)
which we had to do. So I had to do a lot
[44:38] (2678.48s)
of that within like when I joined Google
[44:40] (2680.56s)
the team I inherited there was a lot of
[44:42] (2682.88s)
perception not reality some of it was
[44:44] (2684.96s)
reality but a lot of it was perception
[44:46] (2686.88s)
within the organization they're
[44:48] (2688.72s)
difficult to work with um they block we
[44:51] (2691.04s)
had very similar things in Amsterdam
[44:52] (2692.64s)
like oh they're difficult they hold you
[44:54] (2694.48s)
know they're blocking they're this and
[44:56] (2696.64s)
it's the same playbook I've used it
[44:58] (2698.48s)
again I'm like okay quick wins go and
[45:00] (2700.96s)
tell a story consistent monthly updates
[45:04] (2704.24s)
we had that the Amsterdam newsletter
[45:06] (2706.40s)
which had the Amsterdam pictures and
[45:08] (2708.16s)
like fun facts, right? And something
[45:10] (2710.80s)
that is engaging. Um, and then also like
[45:14] (2714.24s)
this actively road sharing. So, we would
[45:16] (2716.16s)
go and meet the GMs. Remember, we would
[45:17] (2717.92s)
actually have this meeting to share the
[45:19] (2719.60s)
plan and have it blessed by like the
[45:22] (2722.80s)
VPs. Yeah. Same playbook. I have a plan.
[45:25] (2725.76s)
I do a road show with all the partner
[45:27] (2727.84s)
teams. My remember the first couple of
[45:29] (2729.84s)
years my, you know, my partners were
[45:31] (2731.44s)
like, "Oh my god, that's very
[45:32] (2732.72s)
expensive." I'm like, "Trust me, it's
[45:34] (2734.56s)
one day you will spend. You might think
[45:36] (2736.48s)
you're wasting it. It's multiple
[45:38] (2738.88s)
meetings of escalations you will save
[45:41] (2741.52s)
because you have a shared language and
[45:43] (2743.36s)
they understand what else you're doing
[45:45] (2745.36s)
so that not everyone thinks they're a
[45:46] (2746.72s)
snowflake and like my thing isn't
[45:48] (2748.08s)
getting prioritized. So I I look for
[45:49] (2749.76s)
these patterns and what you tend to find
[45:51] (2751.76s)
is actually a lot of them scale beyond
[45:54] (2754.48s)
even tech. Well, but a lot of them
[45:56] (2756.40s)
really scared for entry management
[45:57] (2757.68s)
because I actually got the inspiration
[45:59] (2759.36s)
from you. So when I would go to San
[46:00] (2760.96s)
Francisco the first few times I went to
[46:02] (2762.48s)
San Francisco I would just you know like
[46:05] (2765.36s)
just do like we worked with a few teams
[46:07] (2767.12s)
in San Francisco. So I would meet with
[46:08] (2768.64s)
them, we would like, you know, talk
[46:10] (2770.32s)
about stuff. But I kind of saw that when
[46:12] (2772.32s)
you went, you met a lot of people. And
[46:14] (2774.56s)
so what I started to do later, which
[46:16] (2776.24s)
turned out to be a really good decision
[46:17] (2777.52s)
is when I went, I actually prioritized
[46:19] (2779.20s)
meeting people and understanding them,
[46:21] (2781.60s)
telling them what we do, understanding
[46:23] (2783.04s)
what they do, and trying to get to this
[46:24] (2784.48s)
point where we had like, you know, just
[46:25] (2785.92s)
tell me who are you like, you know, what
[46:27] (2787.28s)
is your background? Like how did you get
[46:29] (2789.04s)
into Uber? Uh what do you want to do
[46:30] (2790.88s)
after Uber? like, you know, are are you
[46:33] (2793.52s)
trying to is this temporary and you're
[46:35] (2795.36s)
trying to, you know, be a CTO one day or
[46:37] (2797.52s)
or you're actually really into it? And
[46:39] (2799.28s)
it's just it and since I started to do
[46:42] (2802.00s)
that, I kind of it felt cheating cuz I
[46:44] (2804.08s)
was not doing work per se, but it it
[46:48] (2808.24s)
made everything so much easier. This is
[46:49] (2809.68s)
such an important point. This thing that
[46:50] (2810.96s)
you say it felt like cheating like we
[46:53] (2813.28s)
should actually unpack that a little bit
[46:55] (2815.44s)
because we've been conditioned. Now, now
[46:58] (2818.24s)
I'm gonna, you know, ab the sort of like
[47:00] (2820.32s)
philos um
[47:02] (2822.20s)
philosoph I think we've been conditioned
[47:04] (2824.16s)
so much to like squeeze out efficiency.
[47:07] (2827.28s)
Like I go in nine, I clock in, we get in
[47:09] (2829.92s)
a room 30 minutes, it's like, let's get
[47:11] (2831.76s)
into it. And actually, that's fine. And
[47:14] (2834.72s)
I'm a big believer. I actually think I'm
[47:17] (2837.36s)
highly efficient, but I go slow to go
[47:21] (2841.32s)
fast. So, we might be in a 1-hour
[47:23] (2843.60s)
meeting. I remember I literally just met
[47:26] (2846.32s)
um a UXR lead on our on the team. Um
[47:29] (2849.76s)
never met him in person. Uh one of the
[47:31] (2851.84s)
things I like to do, I'm not saying
[47:32] (2852.72s)
everyone should do that and maybe you
[47:33] (2853.92s)
know like I hug everyone as you know I
[47:36] (2856.16s)
hug everyone because I'm always on a
[47:38] (2858.40s)
screen, right? I'm always on a screen.
[47:40] (2860.96s)
90% of the time I'm going to be talking
[47:42] (2862.24s)
to people on a screen like you know over
[47:44] (2864.96s)
continents, time zones,
[47:49] (2869.16s)
podcast. This is my second inerson
[47:51] (2871.76s)
podcast. Can we do more of these? Um,
[47:53] (2873.52s)
but like you're always on the screen and
[47:55] (2875.52s)
it's if I meet you and for 30 minutes
[47:58] (2878.40s)
I've come all the way 9 9 hours and we
[48:01] (2881.12s)
spend that 30 minutes talking about
[48:02] (2882.96s)
something we could have hashed out on an
[48:04] (2884.88s)
email. You failed for me. We failed.
[48:08] (2888.08s)
Instead, it's 30 minutes to see your
[48:10] (2890.72s)
body language. It's 30 minutes to
[48:12] (2892.40s)
understand this human, to hug them, to
[48:15] (2895.68s)
bring the the 3D, the 4D, right? And we
[48:19] (2899.84s)
can go back and do the efficient stuff
[48:21] (2901.52s)
by email, but how much more efficient
[48:23] (2903.76s)
will I be when I'm pinging that person?
[48:26] (2906.40s)
A very blunt, you know, I'm I'm
[48:28] (2908.00s)
horrible. I don't even do like hi. I
[48:29] (2909.60s)
just get into it. Like I'm I'm really,
[48:31] (2911.36s)
you know, I'm like I just get into a
[48:32] (2912.56s)
message. That's how efficient I am. But
[48:34] (2914.32s)
when I meet you and I spend that time,
[48:36] (2916.96s)
whether it's a dinner or a lunch and
[48:39] (2919.28s)
it's a human connection, we will do so
[48:42] (2922.40s)
much more and go so much further on in
[48:45] (2925.76s)
the document when I say I disagree with
[48:47] (2927.60s)
this because you've met AB the human and
[48:49] (2929.92s)
I've connected with Gerge the human. The
[48:52] (2932.72s)
I disagree with this is contained into
[48:54] (2934.80s)
the thing we're talking about, not how
[48:56] (2936.64s)
dare she once again and egos and all of
[48:59] (2939.52s)
that. So people think they're being
[49:00] (2940.80s)
efficient. They go in a meeting five
[49:01] (2941.92s)
minutes, how are you? How's your
[49:02] (2942.96s)
weekend? this sort of nonsense small
[49:04] (2944.96s)
talk and move on. When I've been in
[49:07] (2947.84s)
meetings where I'm literally like, "How
[49:09] (2949.04s)
was your weekend?" And I have something
[49:10] (2950.72s)
in my weekly meetings where we say,
[49:13] (2953.04s)
"What's your personal win?" And someone
[49:15] (2955.04s)
was like, "I got married last weekend."
[49:16] (2956.96s)
None of us knew. It would never have
[49:18] (2958.24s)
come up,
[49:19] (2959.92s)
right? I mean, this is a this is not my
[49:21] (2961.92s)
core team. This was like a team I had
[49:23] (2963.28s)
just inherited for um um one of the ERGs
[49:26] (2966.24s)
at Google. And we were like the rest of
[49:28] (2968.08s)
the meet like for 15 minutes. How was
[49:30] (2970.16s)
it? Share us pictures. Da da da da. It
[49:32] (2972.16s)
was you just had this little spark and
[49:34] (2974.88s)
then we can go to the rest of the
[49:36] (2976.32s)
meeting but you will never that those
[49:38] (2978.24s)
moments you just can't trade those. So I
[49:40] (2980.08s)
want to go back to it's not cheating
[49:41] (2981.68s)
like let's just it is not cheating to
[49:44] (2984.32s)
connect at a human level right in a way
[49:47] (2987.36s)
that's comfortable in working hours in
[49:49] (2989.36s)
working hours because you will do so
[49:52] (2992.48s)
much more and achieve much more without
[49:55] (2995.36s)
the squabbbling the bickering the e you
[49:58] (2998.40s)
know whatever because it's not a zero
[50:00] (3000.08s)
sum game. No, it's a reminder that we're
[50:02] (3002.08s)
two humans at the end of the day who are
[50:04] (3004.00s)
in this construct of a company because
[50:05] (3005.60s)
we both believe in a common goal. And if
[50:07] (3007.68s)
you can just remember that so much more
[50:09] (3009.60s)
be effective. So can we demystify? Let's
[50:13] (3013.56s)
normalize connections during working
[50:16] (3016.32s)
hours that are not about like some
[50:17] (3017.92s)
efficient whatever and then your meeting
[50:19] (3019.60s)
might be five minutes. And so you you
[50:22] (3022.72s)
you mentioned patterns that you know
[50:24] (3024.64s)
you've you've seen, but one pattern I'm
[50:26] (3026.48s)
interested so you worked at Uber for a
[50:28] (3028.08s)
long time, you worked at Netflix, you're
[50:30] (3030.24s)
now working at at Google. What are
[50:32] (3032.56s)
patterns you've seen truly standout
[50:35] (3035.68s)
software engineers be like across these
[50:38] (3038.96s)
companies? like not not you know at Uber
[50:40] (3040.88s)
we we we had a team and maybe it was
[50:42] (3042.40s)
special maybe it was not but are there
[50:45] (3045.36s)
some kind of behaviors either skill sets
[50:48] (3048.16s)
or or things that people do that that
[50:50] (3050.64s)
make them just a great engineer someone
[50:52] (3052.88s)
that you as a product manager are like I
[50:55] (3055.36s)
I I I can work with this person at
[50:57] (3057.60s)
either of these large companies I'll say
[51:00] (3060.48s)
I'll start with the opposite let's just
[51:02] (3062.00s)
contradict for a second y one pattern is
[51:05] (3065.68s)
everyone in their gut knows intuitively
[51:08] (3068.96s)
when they have encountered a genius
[51:13] (3073.28s)
Oh yeah, I I I remember the ones I work
[51:15] (3075.84s)
with. And 10 times out of
[51:19] (3079.32s)
10, remember we used to have a a
[51:21] (3081.76s)
director, Daniel. This is one thing I
[51:23] (3083.84s)
loved about him and I still hear his
[51:26] (3086.08s)
voice in the back of my head, right? It
[51:28] (3088.96s)
drags the entire team down. They might
[51:31] (3091.52s)
have brilliance in code and brilliance
[51:34] (3094.08s)
in execution, but when it comes down to
[51:36] (3096.88s)
it, those genius jerks, the net effect
[51:41] (3101.76s)
is exponentially worse. Oh yeah. Than
[51:43] (3103.76s)
not having them. So I'll just start with
[51:46] (3106.00s)
that. And it's consistent across all the
[51:47] (3107.92s)
businesses. Different businesses have
[51:49] (3109.44s)
different tolerances, but it's
[51:51] (3111.04s)
consistent across all the businesses.
[51:53] (3113.08s)
Um, now unpacking that a little bit
[51:55] (3115.44s)
more, there are some people who may
[51:57] (3117.52s)
manifest as jerks,
[51:59] (3119.84s)
but actually they're not they they've
[52:01] (3121.20s)
never been told. And the moment they're
[52:03] (3123.36s)
confronted with their jerkness, they
[52:05] (3125.52s)
correct it. So, you know, we've had, you
[52:07] (3127.36s)
know, like um certain PMs who may come
[52:09] (3129.92s)
up abrasive, but actually they mean
[52:11] (3131.52s)
well, and when you actually have a
[52:13] (3133.20s)
conversation like, oh, the human is a
[52:14] (3134.88s)
good person, they just they need to work
[52:16] (3136.72s)
on their comms. So, I want to also want
[52:18] (3138.32s)
to deem like that's the second thing. So
[52:19] (3139.60s)
you see these brilliant people who are
[52:21] (3141.60s)
not very good at like the social skills
[52:23] (3143.60s)
that is different from a jerk. Yeah.
[52:25] (3145.84s)
Right. And you actually intuitively know
[52:27] (3147.76s)
the difference. Yeah. So so that's the
[52:30] (3150.40s)
extreme. I want to start with that
[52:31] (3151.68s)
because that is so important to remember
[52:33] (3153.52s)
and to state because our time on this
[52:36] (3156.32s)
world is limited and I just don't think
[52:38] (3158.32s)
anyone deserves to be in an environment
[52:39] (3159.84s)
with anyone who makes them feel less
[52:41] (3161.76s)
than. Period. No. Um now going in terms
[52:45] (3165.68s)
of the good patterns I think the ones I
[52:48] (3168.72s)
have seen and this is irrespective of
[52:52] (3172.24s)
I'm talking from VP all the way down to
[52:55] (3175.12s)
like L4 IC there's a pattern that you
[52:58] (3178.72s)
see the tracks right so I'm literally
[53:01] (3181.28s)
thinking in my head of like personas
[53:03] (3183.28s)
right now um one is they never stop
[53:07] (3187.56s)
learning so my partner now she over
[53:11] (3191.76s)
Christmas was like I feel like I'm not
[53:13] (3193.52s)
up to speed on like the latest on the
[53:15] (3195.04s)
models. I'm just going to go spend some
[53:16] (3196.40s)
time and play with it. I remember like
[53:19] (3199.04s)
Daniel Essen, he'd be like, I'm going to
[53:20] (3200.48s)
go write some code. I'm solving some Lee
[53:22] (3202.64s)
uh sorry, what do you call it? Um not uh
[53:24] (3204.80s)
Lee coding uh exercise, right? Lee when
[53:26] (3206.96s)
I was building some cyber building
[53:28] (3208.72s)
stuff. And this was a director of
[53:29] (3209.92s)
engineering, senior director of
[53:31] (3211.28s)
engineering, something like that.
[53:32] (3212.16s)
Phenomenal guy and it wasn't to
[53:33] (3213.76s)
everybody's liking or taste, but I loved
[53:36] (3216.64s)
loved him because like this was just a a
[53:38] (3218.40s)
human who cared deeply. And this is
[53:40] (3220.80s)
actually a good example of the second
[53:42] (3222.08s)
category I was talking about where the
[53:43] (3223.60s)
delivery might have come across in a
[53:45] (3225.04s)
certain way but actually at the core it
[53:47] (3227.28s)
was just a good human. Um um and so and
[53:52] (3232.16s)
I you know nobody uh nobody hates it. No
[53:55] (3235.36s)
one truly loves it. It's what I believe
[53:56] (3236.72s)
as well. But anyway um but but there's
[53:59] (3239.60s)
another persona at YouTube now that I'm
[54:01] (3241.68s)
thinking of a VP been there for a while.
[54:03] (3243.92s)
Phenomenal guy um um uh Christos. And I
[54:07] (3247.68s)
remember when I joined people were like,
[54:08] (3248.96s)
"Oh my god, Christos, you know, I don't
[54:11] (3251.04s)
know, you know, I'm just going to talk
[54:12] (3252.48s)
about it like you know who how I am. I
[54:14] (3254.00s)
just, you know," and they were like,
[54:15] (3255.12s)
"Oh, you know, like warning." And I, you
[54:17] (3257.84s)
know, we're in a meeting and I he said
[54:18] (3258.96s)
something and I was like, "I disagree."
[54:20] (3260.32s)
And people ping me later like, "Oh, no
[54:22] (3262.24s)
one disagrees with Christos." And I I
[54:24] (3264.88s)
just saw a human who was curious and
[54:27] (3267.28s)
we've gone on like we don't interact
[54:28] (3268.88s)
that much, but he's gone out of his way
[54:30] (3270.48s)
to literally I Google with something
[54:32] (3272.08s)
called spot bonuses. It's a weird thing.
[54:34] (3274.56s)
I still don't understand. I get it. And
[54:36] (3276.32s)
I'm like, you just gave me money for
[54:37] (3277.76s)
doing a good job. Okay. But anyway, um,
[54:39] (3279.84s)
but it's not so much about the money.
[54:41] (3281.04s)
It's a token of recognition. Literally,
[54:43] (3283.12s)
my my my, you know, I have two spot
[54:46] (3286.24s)
bonuses from Christos because he's like,
[54:48] (3288.96s)
you delivered something that took
[54:51] (3291.28s)
multiple people tried and failed. It
[54:53] (3293.60s)
took 10 years. Nobody shipped it.
[54:54] (3294.96s)
Thumbnail AB thumbnail testing. And you
[54:57] (3297.76s)
guys, you did it. And he he saw that and
[55:00] (3300.32s)
we went through what I just thought was
[55:02] (3302.56s)
a high friction comp because he was this
[55:05] (3305.04s)
this guy is like somewhere else in the
[55:06] (3306.64s)
org and he was like I am concerned about
[55:09] (3309.44s)
this for creators. Explain to me not is
[55:11] (3311.76s)
his domain but he cared deeply and never
[55:14] (3314.24s)
stopped being curious. He was like this
[55:16] (3316.00s)
is kind of a mix of caring and
[55:17] (3317.60s)
curiosity. It's curiosity. It's never
[55:19] (3319.60s)
stop learning. And one thing with
[55:22] (3322.00s)
Christos is VP but you can bring up
[55:24] (3324.88s)
anything. He will go down to the detail
[55:27] (3327.20s)
like he understands it deeply. And by
[55:30] (3330.56s)
the way, this what I'm describing for
[55:32] (3332.20s)
engineering, for UX, for product, for
[55:35] (3335.92s)
data science, this ability to understand
[55:38] (3338.24s)
that you're a student of life and you
[55:40] (3340.32s)
keep learning. You never get tired of
[55:43] (3343.20s)
learning. So that's one thing I always
[55:45] (3345.28s)
see. They're like even the IC's, it's
[55:47] (3347.04s)
like I just found, you know, the ones
[55:48] (3348.48s)
that send you, hey, I just played around
[55:50] (3350.16s)
with this new model, da da da, check it
[55:51] (3351.68s)
out. Here's my observations. like this
[55:53] (3353.92s)
yearning for learning, right? So that's
[55:56] (3356.40s)
yeah, what I would add is at the
[55:58] (3358.32s)
engineer level, I think, you know,
[55:59] (3359.84s)
outside of the the engine manager is a
[56:02] (3362.64s)
little bit different, but as engineers,
[56:04] (3364.56s)
they're not afraid to get their hands
[56:05] (3365.84s)
dirty. So they learn and get their hands
[56:08] (3368.56s)
dirty. It's a nice and and you know,
[56:10] (3370.64s)
like they they will not just come like,
[56:11] (3371.92s)
oh, I I've learned this. They were like,
[56:13] (3373.28s)
no, like I I wrote the code here here's
[56:15] (3375.92s)
here's a poll request that does it. And
[56:17] (3377.60s)
they'll often, you know, create a bit of
[56:19] (3379.92s)
a friction where they'll go to a team
[56:21] (3381.68s)
and they'll be like, "Oh, we'd like to
[56:23] (3383.52s)
do this." And the team will be like,
[56:24] (3384.56s)
"Nah, that'll take us like two, three
[56:26] (3386.16s)
weeks. Can't do it." And, you know,
[56:28] (3388.00s)
these people
[56:30] (3390.04s)
they'll either they'll ask why and then,
[56:32] (3392.88s)
you know, they'll get to the point that
[56:33] (3393.84s)
it's not that difficult and they'll do
[56:35] (3395.04s)
it or sometimes they just do it and but
[56:36] (3396.88s)
they do it in a way where it's not
[56:38] (3398.24s)
showing off or something. It's it's like
[56:40] (3400.24s)
no like like I did it like can can can
[56:42] (3402.08s)
we progress or or or tell me what I'm
[56:44] (3404.16s)
missing because because you know you're
[56:45] (3405.36s)
the expert and and I know that used to
[56:48] (3408.16s)
it can piss off people. Yeah. But but
[56:50] (3410.32s)
it's the like same with my partner
[56:52] (3412.32s)
Matild. Same thing. She'll be like I'm
[56:54] (3414.00s)
sorry. I'm going to call uh I'm going to
[56:56] (3416.00s)
call this is this is not passing my
[56:57] (3417.84s)
sniff test. Why is it two months? And
[57:00] (3420.08s)
then as they start going in, what you
[57:02] (3422.00s)
find is you'll be able to help them
[57:03] (3423.04s)
problem solve. Oh, because you thought
[57:04] (3424.72s)
you needed to do this extra thing. Have
[57:06] (3426.48s)
you thought about doing that? Oh, okay.
[57:08] (3428.48s)
Like there was something we were talking
[57:09] (3429.52s)
about recently like we could just remove
[57:11] (3431.04s)
this this traffic. Have we oh okay we
[57:14] (3434.08s)
didn't realize that was an option and
[57:15] (3435.68s)
actually you know so that's there's two
[57:18] (3438.00s)
sides to that. One is they're willing to
[57:20] (3440.64s)
get their hands messy and you know roll
[57:23] (3443.12s)
up their sleeves but the other side of
[57:24] (3444.96s)
it which is they're also very
[57:26] (3446.64s)
comfortable with that being done to
[57:28] (3448.72s)
them. Yeah. Like the strongest leaders
[57:32] (3452.00s)
they're the ones who in a room be like
[57:33] (3453.60s)
huh I never thought about it that way.
[57:35] (3455.04s)
That's a good point. They're willing to
[57:36] (3456.96s)
call out that they were wrong. Yeah.
[57:39] (3459.04s)
It's a v that's what I this this notion
[57:41] (3461.28s)
of vulnerability is your strength. Yeah.
[57:43] (3463.04s)
I I I think they basically, you know,
[57:44] (3464.80s)
they're competent, but they don't let
[57:46] (3466.32s)
the ego get ahead of it. Like they kind
[57:48] (3468.24s)
of put away their ego and they they
[57:50] (3470.24s)
assume that they might not be competent
[57:51] (3471.60s)
all the time, right? And is it's the
[57:53] (3473.68s)
same I think the common it's like
[57:55] (3475.44s)
because you're a student of life and
[57:56] (3476.80s)
you're always learning. You understand
[57:58] (3478.48s)
that the more you learn in life, anyone
[58:00] (3480.16s)
who's a student of life knows that the
[58:01] (3481.76s)
more you learn, the more you realize how
[58:03] (3483.28s)
much [Β __Β ] you do not know, right? Like
[58:05] (3485.52s)
just how much you don't know, you know,
[58:07] (3487.68s)
and so if you but but they have strong
[58:11] (3491.28s)
conviction, which I'll get to in a
[58:13] (3493.20s)
minute. If I say this is the way to do
[58:14] (3494.80s)
a, they're open, but you better have a
[58:17] (3497.60s)
strong rationale, which is where some
[58:19] (3499.28s)
people buckle because they're not
[58:20] (3500.64s)
willing, they're not able to have the
[58:22] (3502.56s)
vulnerable conversation to say actually
[58:24] (3504.56s)
I disagree. And then, oh actually, no,
[58:26] (3506.72s)
no, no, actually, you were right. Right.
[58:29] (3509.12s)
So, most people are like, I'm not even
[58:30] (3510.32s)
going to defend or challenge them
[58:32] (3512.08s)
because they have such a, you know,
[58:34] (3514.00s)
they're they're so clear in what is, you
[58:36] (3516.32s)
know, you know the type, it's like, you
[58:37] (3517.76s)
can't challenge them. No, no, no. They
[58:39] (3519.28s)
just thought about what they're saying
[58:41] (3521.20s)
before they open their mouth. Yeah. But
[58:43] (3523.44s)
they're usually open to being wrong.
[58:45] (3525.76s)
It's just that they've thought about it
[58:47] (3527.68s)
so much that you need to do the work to
[58:50] (3530.24s)
rationalize why it's wrong. And they're
[58:52] (3532.08s)
okay with being like, actually, you know
[58:53] (3533.44s)
what? Good point.
[58:55] (3535.52s)
um I'm wrong. Like in this case with
[58:57] (3537.36s)
this example, I was like, you know what
[58:59] (3539.04s)
I'm going to do? I I I I hear you. I
[59:01] (3541.52s)
understand the feedback you're giving. I
[59:03] (3543.04s)
don't think it's a concern, but I'm we
[59:05] (3545.76s)
may be wrong, right? But what I'm going
[59:08] (3548.08s)
to do is at every step of the roll out,
[59:10] (3550.00s)
you're not in my chain. I don't need
[59:12] (3552.08s)
your approval, but I will send you an
[59:14] (3554.40s)
email with the metrics that I'm seeing
[59:15] (3555.68s)
and we should make let's have a
[59:16] (3556.80s)
one-on-one or discussion. This is what I
[59:18] (3558.64s)
did with uh the VP Crystals. Let's have
[59:20] (3560.48s)
a one on like what you think and maybe
[59:22] (3562.48s)
there's something I'm not seeing. And
[59:24] (3564.24s)
both parties are like my case I've not
[59:26] (3566.88s)
been at YouTube for that long. This
[59:27] (3567.84s)
guy's been there for like 15 years. Like
[59:29] (3569.44s)
in his case, he also doesn't know like I
[59:31] (3571.52s)
I know what I'm talking about. And so at
[59:33] (3573.60s)
each step actually the conviction was
[59:36] (3576.32s)
correct and but the thing he called out
[59:38] (3578.64s)
made me think about oh these metrics
[59:40] (3580.88s)
that he's called out and I just need to
[59:42] (3582.00s)
make sure on the go to market we solve
[59:43] (3583.76s)
for. So they are one students of they're
[59:46] (3586.80s)
willing to they always be learning. two,
[59:50] (3590.08s)
they're willing to roll up their sleeves
[59:51] (3591.28s)
and get their hands in it. And that
[59:53] (3593.04s)
usually means you actually need to like
[59:55] (3595.12s)
dog food your own products. Yeah, sorry
[59:57] (3597.44s)
PMs and people out there. It is not okay
[60:00] (3600.16s)
to never have gone through your
[60:01] (3601.28s)
onboarding flow like because and also
[60:03] (3603.84s)
also engineers I'll call out the the
[60:06] (3606.24s)
most efficient engineers were the ones
[60:07] (3607.76s)
who went through the at Uber for example
[60:10] (3610.24s)
create a driver account and you know and
[60:13] (3613.20s)
delivered food or or or even just do the
[60:15] (3615.44s)
simulator and see what the onboarding
[60:16] (3616.88s)
flow is like or open the competitor's
[60:18] (3618.80s)
app and see what it takes to sign up
[60:20] (3620.24s)
there. Thank you. And I I think
[60:22] (3622.72s)
especially in big tech people get so
[60:25] (3625.28s)
removed from the product that they just
[60:26] (3626.64s)
forget to use it and I'm like how are
[60:27] (3627.92s)
you going to have empathy? You're
[60:29] (3629.04s)
building something and putting it in the
[60:30] (3630.24s)
world to millions of people. You don't
[60:31] (3631.92s)
care enough to use it. Yeah. That that's
[60:35] (3635.36s)
I feel like that's it's it's it's
[60:38] (3638.32s)
happening. But I I think it's good that
[60:39] (3639.60s)
we're talking about it. And and then
[60:40] (3640.96s)
this final piece which is that you know
[60:43] (3643.36s)
um the conviction like they have a
[60:45] (3645.52s)
strong opinion, they have conviction. So
[60:47] (3647.60s)
where they say like this is the way
[60:49] (3649.44s)
they're not like wobbly like h maybe
[60:51] (3651.84s)
whatever. They're willing to have skin
[60:53] (3653.04s)
in the game but they're also willing to
[60:54] (3654.72s)
be wrong and be like you know what
[60:56] (3656.48s)
actually I take it back. Actually, I
[60:58] (3658.40s)
didn't realize that. I see Mattil do
[60:59] (3659.92s)
that all the time like on meetings.
[61:01] (3661.04s)
She'll be like, "Oh, no, no, I didn't.
[61:02] (3662.40s)
Okay, that's a good point. Oh, I never
[61:03] (3663.52s)
thought about that." Right. So, but
[61:05] (3665.52s)
she's also be like, "Guys, I'm sorry.
[61:06] (3666.80s)
No, no, no. My sniff test, my intuition,
[61:09] (3669.04s)
like they trust their gut." So, and that
[61:11] (3671.36s)
comes from years of training. So, those
[61:13] (3673.12s)
are some patterns. And then, of course,
[61:14] (3674.40s)
there's some or other tactical things
[61:15] (3675.92s)
like, you know, they're actually able to
[61:18] (3678.00s)
communicate. Like, you might not be I
[61:20] (3680.48s)
don't mean you need to be able to go on
[61:21] (3681.76s)
stage and present or whatever, but you
[61:23] (3683.84s)
can just talk human to human. you can
[61:26] (3686.00s)
have a conversation and because it's so
[61:28] (3688.24s)
important even if you're like shy or
[61:30] (3690.16s)
tester you're able to kind of distill
[61:32] (3692.00s)
what you're saying into simple terms and
[61:33] (3693.44s)
the ones I love the most are the
[61:35] (3695.20s)
engineers that don't make you feel like
[61:37] (3697.20s)
an idiot. Yeah. And even at my you know
[61:39] (3699.76s)
I I I was an engineer I think I'm
[61:41] (3701.68s)
actually good at you know technicalities
[61:43] (3703.76s)
but there's some engineers in the room
[61:45] (3705.04s)
they just throw out the acronyms and
[61:46] (3706.40s)
throw out the this and throw out the
[61:47] (3707.52s)
that and I'm like you think this makes
[61:49] (3709.36s)
you look smart but you're actually
[61:50] (3710.72s)
isolating yourself. Actually power is
[61:53] (3713.12s)
when you're able to take wisdom and tr I
[61:56] (3716.08s)
mean you know Buddha or Gandhi they have
[61:58] (3718.40s)
these very simplistic quotes because
[62:00] (3720.80s)
they take something that's so
[62:01] (3721.92s)
complicated distill it down where
[62:03] (3723.80s)
everyone can access that information and
[62:06] (3726.32s)
that power and that's powerful. Now,
[62:09] (3729.04s)
here's the, you know, the shock or
[62:11] (3731.12s)
whatever. Everything I've just
[62:12] (3732.24s)
described, I think, applies to every
[62:14] (3734.08s)
strong person that I have met. The
[62:16] (3736.72s)
designers, the PMs, the data scientists,
[62:19] (3739.52s)
it's the same patterns. They're hungry.
[62:22] (3742.32s)
They stay hungry, stay foolish, they
[62:24] (3744.40s)
have conviction. I I'll just add that
[62:26] (3746.00s)
for for software engineers what what
[62:27] (3747.36s)
what I've seen do not be afraid to get
[62:28] (3748.88s)
your hands dirty and code like because
[62:32] (3752.16s)
because there there are the things that
[62:33] (3753.28s)
apply to everyone but the the people who
[62:34] (3754.96s)
I've seen fail uh at teams who look good
[62:37] (3757.60s)
is they just talk the talk but they
[62:39] (3759.28s)
don't they don't they don't get involved
[62:41] (3761.20s)
for whatever reason. The same with
[62:42] (3762.64s)
designers who design leaders who have
[62:45] (3765.60s)
not open Figma to actually play with a
[62:47] (3767.28s)
mock. Yeah. My design partner Brian he
[62:50] (3770.08s)
literally will mock up something as
[62:51] (3771.20s)
we're talking.
[62:53] (3773.04s)
you know, I mock up stuff till today.
[62:54] (3774.96s)
Say close to the tools. I can write a
[62:56] (3776.80s)
PRD like now I'm not going to be 100% as
[62:59] (3779.12s)
efficient, but I can still do it. And
[63:01] (3781.44s)
that is so important because you have
[63:02] (3782.88s)
empathy for the person in the role, not
[63:04] (3784.72s)
just marching orders, you know? So, like
[63:07] (3787.28s)
I really genuinely think it's like these
[63:10] (3790.16s)
skills you get better and better by
[63:12] (3792.56s)
being the student all the time and like
[63:14] (3794.24s)
getting your hands dirty. One thing that
[63:16] (3796.00s)
you've done which was really really
[63:17] (3797.76s)
interesting to me is you mentored a lot
[63:19] (3799.84s)
of my engineers on the team and they
[63:23] (3803.44s)
actually grew a lot faster
[63:25] (3805.40s)
professionally. Uh it it was great. I
[63:28] (3808.56s)
haven't seen other PMs do it. What are
[63:30] (3810.48s)
tactics that you suggested to them? And
[63:32] (3812.56s)
these could be things that an injury
[63:34] (3814.08s)
manager could also use a tech lead or or
[63:36] (3816.96s)
or even just an engineer who's you know
[63:38] (3818.80s)
like a senior or or or engineer who's
[63:41] (3821.28s)
mentoring other engineers because
[63:42] (3822.48s)
luckily there's more and more engineers
[63:43] (3823.92s)
mentoring. what what works. Um, I know
[63:45] (3825.60s)
I'm going to sound like a a broken
[63:47] (3827.76s)
record, but I I do believe repetition
[63:49] (3829.52s)
doesn't spoil the prayer. Um, this is a
[63:51] (3831.84s)
phenomenal example of where the playbook
[63:54] (3834.08s)
tracks regardless of the role.
[63:57] (3837.12s)
Really? So, I it's not just engineers. I
[63:59] (3839.04s)
mentored designers as you know on the
[64:01] (3841.36s)
team. Yeah, you did. Yeah. I actually
[64:02] (3842.56s)
even managed the team. I managed the
[64:04] (3844.00s)
design team when our when our design
[64:06] (3846.24s)
manager went out on parental leave and
[64:07] (3847.92s)
then you were swamped and then we wrote
[64:09] (3849.44s)
some PRDs for you. Yeah,
[64:11] (3851.24s)
I Yeah, I was so swamped. She wrote the
[64:15] (3855.68s)
um which by the way is one of the the
[64:17] (3857.60s)
tactics it's
[64:18] (3858.92s)
like care so much about the product be a
[64:22] (3862.64s)
product leader first you care about the
[64:25] (3865.28s)
data science you care about the metrics
[64:26] (3866.96s)
so that you are a participant in what
[64:29] (3869.60s)
are these artifacts that you contribute
[64:31] (3871.68s)
to it's the vision
[64:33] (3873.64s)
dock it's actively participating in the
[64:36] (3876.36s)
PRD it's you know and this would apply
[64:39] (3879.28s)
not just for product managers but for
[64:40] (3880.56s)
engine managers or anyone who either in
[64:42] (3882.88s)
leadership position or thinks that or
[64:44] (3884.96s)
wants to be involved. You know, the
[64:45] (3885.76s)
Oprah gif, Oprah Winfrey gift where
[64:49] (3889.80s)
like it applies. So, you know, and it's
[64:53] (3893.36s)
not like checking a box. It's something
[64:56] (3896.44s)
meaningful because when you now go to
[64:59] (3899.28s)
that PM that you helped out or that BIS
[65:01] (3901.76s)
busy partner or that marketing partner
[65:04] (3904.64s)
or that designer to say, "Hey, endorse
[65:06] (3906.88s)
my promo." They are like filming at the
[65:10] (3910.40s)
bit to do it. Yeah. because they've seen
[65:12] (3912.48s)
you actively participate right so I
[65:15] (3915.12s)
think caring about the product in a way
[65:16] (3916.96s)
where you're also a contributor actively
[65:18] (3918.96s)
to like the OKRs the what you know so
[65:21] (3921.52s)
when you say caring about the product
[65:22] (3922.56s)
and the business right why why we're
[65:25] (3925.28s)
here why we're working here actually we
[65:26] (3926.64s)
didn't do that you know product is like
[65:29] (3929.28s)
three things at its core it's the
[65:32] (3932.24s)
business impact y it's the feasibility
[65:34] (3934.64s)
the technical you know what's possible
[65:37] (3937.76s)
and it is the customer experience that's
[65:39] (3939.76s)
product that's the definition of So when
[65:41] (3941.68s)
I say we're all product leaders, you
[65:43] (3943.60s)
never told me this before. No, I don't
[65:46] (3946.32s)
know where I read that from. Oh, it's
[65:47] (3947.68s)
like say call it viability, usability,
[65:49] (3949.84s)
feasibility. That's what we used to call
[65:51] (3951.60s)
it back then. Yeah, I like the second
[65:54] (3954.16s)
one better. And that is actually why the
[65:56] (3956.12s)
first. That's why I like to say we are
[65:59] (3959.44s)
all product leaders because there is no
[66:01] (3961.20s)
product. If I come up with a shiny UX
[66:02] (3962.96s)
mock and it will be great for the
[66:04] (3964.72s)
business, but engineers like this thing
[66:06] (3966.16s)
is going to take two sweet years.
[66:08] (3968.64s)
But I I think this is just really good
[66:10] (3970.72s)
to think about because these days I feel
[66:12] (3972.64s)
more and more engineers will become
[66:15] (3975.04s)
product people because for example you
[66:17] (3977.84s)
you you leave your your tech company you
[66:19] (3979.84s)
have a lot of savings you start a
[66:21] (3981.04s)
startup to build a product you are a
[66:22] (3982.40s)
product leader you're now a product
[66:23] (3983.52s)
leader you you join a team where there's
[66:25] (3985.36s)
not a product manager either you become
[66:26] (3986.80s)
a product leader uh or you know linear
[66:30] (3990.56s)
like I mean them multiple founders but
[66:32] (3992.40s)
linear that the you know we remember
[66:35] (3995.68s)
working with him they they hire for
[66:38] (3998.08s)
product sense and taste for all of the
[66:40] (4000.32s)
engineers and the reason they have so
[66:41] (4001.60s)
few product managers. They now have one
[66:43] (4003.52s)
or two because everyone is Yeah. Yeah.
[66:47] (4007.12s)
Which makes it that more this this
[66:49] (4009.76s)
another podcast but that more that much
[66:51] (4011.92s)
more important that I used to say this
[66:54] (4014.16s)
you remember me saying this a if you
[66:56] (4016.24s)
take a PM out from a project there
[66:59] (4019.36s)
should be an order of magnitude
[67:01] (4021.12s)
exponential
[67:02] (4022.76s)
effect. it not it's not like you went
[67:05] (4025.12s)
from nine to 10 because we've worked
[67:08] (4028.56s)
with nge leaders we had people on the
[67:11] (4031.20s)
team who could do the the nine to 10
[67:13] (4033.60s)
they were really thoughtful in sending
[67:15] (4035.68s)
the updates in you know the standups so
[67:18] (4038.32s)
a PM comes in this like your goal should
[67:20] (4040.96s)
be like an order of
[67:22] (4042.28s)
magnitude and so in a world where like
[67:24] (4044.48s)
what do PMs do I'm like if you are going
[67:26] (4046.24s)
from 9 to 10 you need to go rethink what
[67:28] (4048.24s)
you're doing as a PM it's like it's
[67:29] (4049.84s)
exponential it's not immediate but it's
[67:31] (4051.52s)
exponential so going back to like this
[67:33] (4053.76s)
this stuff I think one is um be a
[67:36] (4056.56s)
product leader now we all have the same
[67:38] (4058.08s)
definition and that means you understand
[67:39] (4059.84s)
the business implications you understand
[67:41] (4061.60s)
how the metrics that you move ladder up
[67:44] (4064.32s)
to the core business's metrics like
[67:46] (4066.72s)
there's a direct correlation we knew how
[67:49] (4069.52s)
we knew it right we knew how incremental
[67:52] (4072.16s)
whatever moved Uber's numbers um I think
[67:55] (4075.52s)
the second one is treat your career like
[68:00] (4080.00s)
a project what do I mean by
[68:03] (4083.28s)
Most of the time I'm not a fan of when
[68:04] (4084.96s)
people reach out to me like hey I have
[68:06] (4086.40s)
this issue I and can you be my mentor
[68:09] (4089.36s)
sounds horrible but nine times out of 10
[68:10] (4090.88s)
I don't even engage because I just don't
[68:14] (4094.32s)
know enough about you to help you. Yeah,
[68:16] (4096.24s)
I think mentorship and I've become more
[68:19] (4099.12s)
of a big believer in sponsorship which
[68:21] (4101.84s)
is even more important than mentorship I
[68:23] (4103.60s)
think for the so I didn't do I didn't I
[68:26] (4106.80s)
met everyone on the team at the
[68:28] (4108.00s)
beginning but over time when I became
[68:29] (4109.84s)
more of a lead of the the the money hub
[68:32] (4112.24s)
site I started meeting what I called
[68:34] (4114.48s)
like the like for me like the the those
[68:36] (4116.96s)
sort of the the the
[68:39] (4119.60s)
um those kind of ambassadors of the
[68:41] (4121.68s)
product the ones that I knew were like
[68:43] (4123.44s)
at the top top fifth percentile
[68:45] (4125.76s)
who they could have an exponential
[68:47] (4127.76s)
effect. They would come to me and tell
[68:48] (4128.96s)
me something is wrong with the
[68:50] (4130.40s)
architecture or there's something and
[68:51] (4131.60s)
then I would catch it and that's where
[68:52] (4132.64s)
we did the architecture sprint remember
[68:55] (4135.60s)
to redesign the stack but that came from
[68:58] (4138.32s)
a one-on-one walk with an engineer
[69:00] (4140.48s)
flagging it right who cared enough to
[69:02] (4142.64s)
bring that to me. So I start thinking
[69:05] (4145.20s)
more about sponsorship which is like I'm
[69:07] (4147.36s)
a voice for you when you're not in the
[69:09] (4149.20s)
room. Yeah. I am um you know helping you
[69:14] (4154.32s)
sort of get to the next level. It's not
[69:16] (4156.80s)
just fixing skills. It's like we're
[69:18] (4158.64s)
actively getting you to the next level.
[69:20] (4160.48s)
So I start to say you know look for
[69:22] (4162.16s)
sponsorships instead of mentorship. But
[69:24] (4164.56s)
your sponsors and mentors should be
[69:26] (4166.40s)
people who are deeply aware of your
[69:28] (4168.64s)
work. It's not some random person online
[69:30] (4170.80s)
that you message on LinkedIn. That's not
[69:32] (4172.64s)
an that's not you know. So when you have
[69:35] (4175.28s)
that, your career becomes a bit more
[69:37] (4177.20s)
like a project because if this was a
[69:39] (4179.68s)
project, you would check in on a weekly
[69:41] (4181.28s)
basis. Maybe you'd have monthly updates.
[69:43] (4183.60s)
You'd be aware of what the risk the
[69:45] (4185.12s)
results are, what the challenges are,
[69:46] (4186.96s)
what the object, you know, PPP progress
[69:48] (4188.88s)
plans, problems. Too many people have
[69:51] (4191.12s)
that conversation when it's too late
[69:52] (4192.72s)
after you've gotten your rating and
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they're like, "Oh my god, what did I
[69:55] (4195.68s)
do?" It's like, "Actually, why don't you
[69:57] (4197.04s)
have an active forward-looking
[69:58] (4198.72s)
conversation where you're like, "Hey,
[70:00] (4200.08s)
Gay manager, I'm aware that I'm not
[70:02] (4202.40s)
doing XY Z. How can I fix this skill?
[70:04] (4204.64s)
Yeah. What are examples of other people
[70:06] (4206.24s)
who are doing a really good job of this
[70:07] (4207.52s)
skill that I can emulate? That is such a
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more collaborative way to step up
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because it comes from a place of
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curiosity and learning which we just
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talked about, right? And then I think
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the the the the final one I'll say is
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this is going to be hard and why this is
[70:23] (4223.28s)
why sponsorship is so important. I've
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never gotten a job that I applied for.
[70:30] (4230.96s)
I know. Wow. Never. I've never gone
[70:34] (4234.48s)
online, clicked apply. Is it because you
[70:36] (4236.80s)
didn't apply or you got jobs else the
[70:38] (4238.80s)
different way? Somebody spots. It's like
[70:42] (4242.00s)
we need to hire her. Recruiter reaches
[70:44] (4244.40s)
out and then I apply. Mhm. Every single
[70:48] (4248.64s)
job. Now I have an atypical CV. I'm a
[70:50] (4250.88s)
Nigerian girl. Like we can go and you
[70:52] (4252.72s)
know like you know I'm not a typical
[70:54] (4254.16s)
profile of like 10 years or whatever.
[70:56] (4256.24s)
But I'm not a CV that you know I mean
[70:58] (4258.24s)
now maybe but at the time even when they
[71:00] (4260.88s)
hired me as a PM what did I know about
[71:03] (4263.20s)
product management? Yeah. Right. But it
[71:05] (4265.84s)
took people who had worked with as a GM
[71:08] (4268.32s)
who were like, I know her from West
[71:11] (4271.08s)
Africa, engineering brain, and that was
[71:13] (4273.60s)
like the folks in um um uh uh you
[71:17] (4277.20s)
probably remember them now, but they
[71:18] (4278.40s)
were the ones that literally worked on
[71:19] (4279.60s)
the bin numbers, the operations folks
[71:22] (4282.72s)
who had worked with me as a GM who like
[71:24] (4284.56s)
told my hiring manager like, "We know
[71:26] (4286.48s)
her absolute like joy to work with." D.
[71:30] (4290.08s)
And that's happened consistently. Like
[71:31] (4291.76s)
people come to me like oh how did you
[71:32] (4292.96s)
get on the Lego board? I met the
[71:34] (4294.72s)
recruiter 5 years ago talking about
[71:36] (4296.96s)
something else entirely different and
[71:39] (4299.76s)
from just sharing knowledge and talking
[71:41] (4301.92s)
when the time came and you know they put
[71:45] (4305.44s)
my name in the hat. So in every in every
[71:48] (4308.76s)
opportunity if you focus on doing good
[71:51] (4311.52s)
work and you focus on making every
[71:54] (4314.72s)
moment a teaching altruistic I'm not
[71:57] (4317.76s)
like I'm not doing this because I want
[71:59] (4319.36s)
to like get something like it's it's not
[72:01] (4321.28s)
like I'm doing this cuz I want to check
[72:02] (4322.48s)
a box so I can get promoted. I feel like
[72:04] (4324.48s)
people smell that stuff. Yeah, they do.
[72:06] (4326.80s)
Right. And I just I'm just like I see
[72:08] (4328.24s)
what you're doing. Like most people I I
[72:10] (4330.16s)
also remember people who were doing this
[72:11] (4331.44s)
and I look back, you know, 10 years
[72:13] (4333.12s)
later and they're stuck where they were.
[72:15] (4335.20s)
Yeah. And the ones who just did good
[72:17] (4337.76s)
work, we talk, we've been talking about
[72:20] (4340.40s)
them in this room right now. If somebody
[72:22] (4342.48s)
pings me and they're like, even if they
[72:24] (4344.16s)
don't know and they're like, would you
[72:26] (4346.08s)
refer this person? I'm like, oh my god,
[72:27] (4347.52s)
there are people I'm I've said, I would
[72:29] (4349.28s)
give move mountains to work with them
[72:30] (4350.88s)
again. They don't even know. And it goes
[72:32] (4352.64s)
both ways. When people ping me as well
[72:34] (4354.64s)
and they're like, hey, this person like,
[72:35] (4355.92s)
you know what, that person did XY Z to
[72:38] (4358.32s)
their team. These are the good things.
[72:40] (4360.40s)
These are the bad things. I'm not sure I
[72:41] (4361.76s)
would choose to work with them again for
[72:42] (4362.96s)
these reasons. It goes both. careers are
[72:45] (4365.04s)
long and so play the long game and so if
[72:48] (4368.16s)
the long game is ultimately you care
[72:50] (4370.72s)
deeply we just look we've just been
[72:52] (4372.48s)
talking about people in this room right
[72:54] (4374.08s)
we remember them Charles like I know
[72:56] (4376.48s)
what Charles did for Charles was the one
[72:58] (4378.48s)
who came to you and said you should
[73:00] (4380.08s)
listen to your PM right there's
[73:02] (4382.32s)
something to be learned from right like
[73:04] (4384.16s)
you could have had another manager was
[73:05] (4385.36s)
like oh screw product management they
[73:07] (4387.36s)
always think they're they're the CEOs
[73:09] (4389.36s)
but if you play a long game and you just
[73:11] (4391.12s)
care about doing the best that you can
[73:13] (4393.20s)
in that moment Like if you were in a
[73:15] (4395.60s)
sports team. I really like using sports
[73:17] (4397.60s)
team or musical team. When you're
[73:19] (4399.20s)
reading your notes in an orchestra,
[73:21] (4401.12s)
you're like, I'm going to play the best
[73:22] (4402.24s)
that I can for me and this group of this
[73:25] (4405.68s)
note. It's not like I'm doing it so I
[73:27] (4407.12s)
can become, you know, you're just like
[73:28] (4408.48s)
there's this love for it. I come back to
[73:31] (4411.04s)
this word. When you do that, I feel like
[73:33] (4413.20s)
the rest follows. There will be people
[73:35] (4415.36s)
who will stand up to sponsor you. And
[73:38] (4418.48s)
then you don't need to be, you know,
[73:40] (4420.24s)
think of your career, be aware of it,
[73:41] (4421.84s)
not just forget about it, but at the
[73:43] (4423.12s)
same time, let that not be the thing
[73:44] (4424.64s)
that defines you because I feel like in
[73:46] (4426.64s)
a world where everyone is doing
[73:48] (4428.00s)
everything for some outcome, it's just
[73:50] (4430.96s)
so refreshing to meet people who are
[73:52] (4432.24s)
doing it because it's like the right
[73:53] (4433.44s)
thing to do. Mhm. So then wrapping up
[73:56] (4436.00s)
the so the three things that you
[73:57] (4437.36s)
mentioned, the the first one was caring,
[74:00] (4440.96s)
care, be a product leader. Be be a be a
[74:03] (4443.84s)
true product leader. Yeah. So, so like
[74:06] (4446.08s)
all all of us are product leaders.
[74:08] (4448.00s)
Sponsor people where where you can and
[74:09] (4449.92s)
play the long game, right? Yeah. The the
[74:13] (4453.00s)
um be a product leader. Treat your
[74:16] (4456.32s)
career like a project. Periodic
[74:18] (4458.80s)
check-ins. Don't wait until you wouldn't
[74:22] (4462.32s)
get talk about a product when it's
[74:23] (4463.84s)
shipped. You would talk about it along
[74:25] (4465.12s)
the way. So, treat your career in that
[74:26] (4466.96s)
way with your manager, with your peers,
[74:28] (4468.80s)
like, "Hey, how am I doing in my this?
[74:30] (4470.40s)
How am I?" So, check in periodically
[74:31] (4471.68s)
because people are more willing to give
[74:33] (4473.12s)
you low stakes feedback. Yeah, when it's
[74:35] (4475.68s)
not like PF, right? And finally, don't
[74:38] (4478.80s)
go out just looking for like mentorships
[74:41] (4481.12s)
and checking the boxes. Just do great
[74:43] (4483.28s)
work because the sponsors will come who
[74:46] (4486.32s)
will sponsor you when you're not in the
[74:48] (4488.08s)
room by just caring. Well, well, Aie,
[74:52] (4492.24s)
this was wonderful and just really good
[74:54] (4494.40s)
to reconnect. I know. I know. In person.
[74:56] (4496.40s)
I know. I know. I wonder what our next
[74:58] (4498.48s)
eight years will look like.
[75:00] (4500.88s)
Wow. Eight years. I hope you enjoyed
[75:03] (4503.12s)
this conversation with AB in a slightly
[75:05] (4505.20s)
different format than what we do with
[75:06] (4506.64s)
most podcast episodes. You can connect
[75:08] (4508.96s)
with AB on social media as listed in the
[75:11] (4511.04s)
show notes below. For more tips on how
[75:12] (4512.96s)
to work with product managers, see deep
[75:14] (4514.64s)
dives into Pragmatic Engineer, also
[75:16] (4516.24s)
linked in the show notes below. If
[75:17] (4517.84s)
you've enjoyed this podcast, please do
[75:19] (4519.36s)
consider leaving a rating on the podcast
[75:20] (4520.96s)
player you're listening on. This helps
[75:22] (4522.88s)
more listeners discover the podcast.
[75:24] (4524.88s)
Thanks and see you in the next