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This file was generated by Descript <www.descript.com>

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Hey folks, today we have
Andrew Edinger on the show.

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A gentleman that's been a
friend for a number of years.

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He's kind of my go to guy on
DevOps and infrastructure.

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Pretty unique sales motion.

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He's been a sales leader
across six or seven companies.

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He was the one that took Pivotal from
zero to five hundred million in ARR

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and it was eventually sold to VMware.

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Another one he did was Astronomer.

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Where we're going to unpack that
a little bit and sort of the early

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signs of community led growth.

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And more recently he's
joined Appen as CRO.

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A 300 million dollar revenue company
out of Australia that's publicly traded

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as he tries to help the team pivot to
more of a software product led company.

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All right.

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Here's my conversation with Andrew.

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We got a lot to cover today.

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I do want to start with astronomer.

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Give us the 30 seconds
on what astronomer does.

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And then tell us a little bit of what the
context was like there when you joined.

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Yeah, happy to Mark.

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And thanks for that.

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I think like most folks on
your show, I like to build, I

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like to fix, I like to grow.

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And it was one of those opportunities
in your career where there was an open

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source community that was vibrant, but
also fractured at the same time and needed

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to be repaired and restored for growth.

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At the end of the day, it was an
open source company around Apache

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Airflow, which very simply put was data
orchestration, basically connecting

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all your disparate parts inside of
your modern data stacks, your data

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gets from point A right to point B
in a safe, secure, and reliable way.

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So when I joined, it was like an
opportunity to say, Hey, look, how

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many times in your life do you get to
go join a top level Apache project?

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All the vanity metrics are 20,
000 plus stars in a million

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downloads, et cetera, and really
actually give that some new energy.

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There were about 20, 25 people
in the company and sub a million

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dollars in revenue when I started.

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So we went from that sub million
to the mid twenties, which included

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launching a cloud product and taking
some other revenue that were, you

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know, in, in, in other channels down.

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So it was actually more growth than
that, but it was a really exciting time.

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And companies continue to do absolutely
fantastic under Andy Byron and team

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and they're crushing it right now.

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Awesome.

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You said coming in, it was a
little fractured, the community.

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Can you tell us what that means?

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Like what, how did you
know it was fractured?

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How do you measure that?

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And what do you think was the cause of it?

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Yeah, look again, you know, I think
the developer is very powerful and

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they have a very powerful voice.

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And there was a number of kind of
core and foundational features that

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had been asked to be included in
the project for a number of years.

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It just never materialized into
a packaged upgrade and piece of

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software that folks could use.

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Namely the scheduler, which
made all of these things work

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was not highly available.

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So as you sought to put this into
your mission, critical workloads, you

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couldn't have a single point of failure,
something just very basic, such as that.

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And there were a lot of promises
made that weren't fulfilled.

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And so ultimately.

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To astronomers credit, the engineering
team really delivered on that promise.

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And that really kind of gave a
rebirth to the growth of the project.

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And a lot of hard work went into that
and further, but that was really it.

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There were just a lot of skeptics that
maybe in fact, there was a new way

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of doing things because there was not
enough attention paid to some of the

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legacy features that were required.

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Alright, so this is a pretty unique
context we haven't really unpacked

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on the show, and that is this very
developer centric, open source context.

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As a newcomer to that, as a
revenue person, as a salesperson,

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I would be a little freaked out.

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You know, developers, it's a
culture of its own, and I don't Uh,

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generically speaking, I might say
that like developers don't have a ton

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of respect for salespeople per se.

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Was that the context there?

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How did you navigate that?

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How would you recommend a sales leader
coming into a context like, take that on?

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Yeah.

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Well, I think Mark, you
hit the nail on the head.

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Look, I've had a lot of history before
this with open source developers at

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Pivotal and Spring Boot and that whole.

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Movement.

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So I had a little bit of experience here.

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And as a result, I built technical
chops and capabilities that

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I didn't have in my career.

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And so the first thing to your
point, you cannot do is sell

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and you have to add value.

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Right.

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And so obviously I show up looking like
a salesperson, probably talk like a

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salesperson and probably I'm not that
incognito there, but once you start to

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add value and actually show that you can
help and understand and have empathy,

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To solve the problems that they have
and show them the way you start to

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earn the credibility and the respect.

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And I think it all comes down to
understanding the user journey that

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they're on, because once you understand
that user journey, you can understand

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the pain that they're in and in their
environment, their situation, ultimately

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the impact you're going to have.

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So it still comes down to the
basics of fundamental selling.

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And qualification, you're just
doing it a much different way.

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That's much more technical led than
sort of sales and qualification

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led, if that makes sense.

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It does.

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But can you unpack value a little bit?

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Because I'm going to channel a new seller
or leader coming into this context.

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It's almost feels like I have to
go spend three years in some sort

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of computer science department to
like go toe to toe with these folks.

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How can I possibly add value to a
developer who's been coding for 15

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years when I've never touch code or.

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Did you have to go and literally
learn to code a little bit?

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I would say that I had to learn to code,
but I did learn how to use the product.

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And I did learn how at the end of the
day, if you're a developer and you're

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deploying something to production and
being able to view and look at logs

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and metrics in a dashboard that could
tell you the health, the state, and

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how things are running in production,
you could very easily show them how

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that might be something that would
add value to them that was previously

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impossible in the open source world.

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Or that they would have to spend their
precious time coding, configuring,

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managing, upgrading, supporting, and
scaling out to the rest of the enterprise.

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And that at the end of the day was not
something that a data engineer and that

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core persona was really interested in
doing, they were interested in doing

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their daily lives of getting data ready.

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For the organization to consume
and for business leaders to make

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informed decisions and actions
to run the business off of.

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Okay.

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So if I know like medic or I know
like challenger sale, something off

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the shelf, it feels like I have to
customize that to this buyer context.

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Like what falls flat if I'm just
like a straight out medic implementer

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and I did that and whatever.

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Healthcare, finance, whatever.

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And now I'm going into
the developer environment.

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How does that have to be tweaked?

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Yeah.

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Well, for starters, most of the
developers in the open source

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world don't have any money.

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They don't actually
care about your metrics.

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They don't actually care about
being qualified and worse.

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They actually have no idea
how software gets procured

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inside of their organization.

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At the end of the day, you
have to implement a process.

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Such that they understand that
you can make their life better.

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And once you do that, you've earned
the credibility to then ask for the

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next steps on how you would get to
their boss, what this would mean and

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how you would articulate the value.

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And we've learned this
the hard way, right?

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There were plenty of times I
called a Casper, the ghost.

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You thought you did a great job.

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You let them go sell on
your behalf to their boss.

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And guess what you see in
salesforce close unresponsive.

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And so we had to really radically
change our engagement model around

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situation, Bain impact that would
then frame up sort of where they were

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trying to go and be very prescriptive
about how the engagement model worked.

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And earning the right and the credibility
to then take that next step together

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with them and enabling them with
the tools and us and our technical

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personas to be able to communicate
with their VPs and heads of engineering

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on the value that we could provide.

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And so it was a delicate dance mark.

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There's no doubt about it.

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Help me unpack that as like
a sales coach or manager.

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So it's like, okay.

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You're listening to a first meeting
between one of your reps and these,

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this engineer and the engineer is loving
it like, Oh my gosh, this is great.

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I had no idea.

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You've showed me exactly the value.

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I'm going to take this to my VP
engineer and I need this product

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and the engineer and the salesperson
is like, okay, that's great.

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Can I join the meeting?

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I'd like to be part of that.

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And the answer is no, no, no, no, no.

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My VP of engineering is extremely busy.

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I'll just handle this on my own.

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And your salesperson's like, okay, that's
not acceptable from what you're saying.

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So how do you handle that objection of
like getting to power in this context?

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Yeah, it's a very good question.

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Very astute, Mark.

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And look, at the end of the day,
uh, we did a lot of that early on

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and we learned our lessons, right?

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And they were, it was variable.

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Obviously hard to predict, hard to
forecast and hard to understand.

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And so what we did was we learned that
if we drove them into the product,

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which was not product led growth, it
was sales led growth into the product.

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And we got them to deploy literally
in a few hours in a workshop, a

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few of their pipelines so that we,
we could show their management,

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their code working in this cloud.

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We drove an engagement process that we
were up front and unapologetic about.

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It was like, look, here's our process.

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Here's how we engage.

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Here's your investment.

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And here's what we would
like to do in return.

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If we prove these things,
like, does this work for you?

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And we were able to attract them
because we were willing to invest

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the time in the product with their
working code and our engineers.

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To solve the problems that they had, and
ultimately, because you're making their

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life 10x better, and because you're giving
them their time away from focusing on the

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undifferentiated heavy lifting required
on a lot of developers these days, they

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ultimately were ready to take you there.

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Hey folks, just Mark here
to stop the recording.

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Yeah, this is an extremely
abstract, common, and very

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challenging objection in sales.

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That, I suppose, we'll
categorize as getting to power.

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It's coming up more often
because historically in

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sales, we always called power.

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And due to some of these new motions like
product led growth or even community led

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growth like we're talking about here,
it's actually beneficial to engage the

00:10:11.924 --> 00:10:17.034
non decision maker, the people closer to
the front line first, and then use their

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excitement and their support for it.

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To get to the decision maker.

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Now, in most situations like this one
with Andrew, the engineer, even though

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they're so excited for this product,
would prefer to go to their VP of

00:10:31.709 --> 00:10:36.830
engineering boss themselves without
the salesperson, they know the boss,

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they know she is very busy and they
want to be very protective of her time.

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And most of the time that's
going to be a closed law.

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And here's the reason why.

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Engineers are not salespeople.

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And this is true in almost any
other product you're trying to sell.

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They're going to position the product
in how it benefits them, not how it

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optimally benefits the VP of Engineering.

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And that's what we have to
get through first and foremost

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by getting access ourselves.

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So Andrew walked through a couple
techniques that he uses with

00:11:10.069 --> 00:11:12.429
his team to get that access.

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I'll give you two more.

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One that I like to do is I like to say,
You know, first off, just ask, like, do

00:11:18.440 --> 00:11:19.700
you mind if I join you in the meeting?

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Quarter of the time,
that might actually work.

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And if they say, no, I'd prefer
just to take this myself, then

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I'll ask them, okay, great.

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Just walk me through how you're
going to explain the product to them.

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And there's a lot of different
variations that you can take.

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But essentially, you, after they
do so, you express some concern.

00:11:40.930 --> 00:11:46.084
You express some concern, like, hey,
I know you really want this product,

00:11:46.084 --> 00:11:48.135
but like, I do this every day.

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And if I were your VP of engineering, I'm
not sure I would be that excited based on

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how you just walk me through the product.

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Are you sure I can't just be sitting there
in the room with you or sitting on the

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zoom with you to walk them through it?

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I'm going to take another stab at it.

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And if they absolutely deny
me, now I am sales coach.

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I'm going to build the slide with
them that they're going to walk

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into the office or walk the VP
of Engineering through on Zoom.

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I'm going to explain to them and build
out the content that positions my

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product in the way that resonates best
with the VP of Engineering to make sure

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that this doesn't stall and I can get
through this stage of the opportunity.

00:12:30.355 --> 00:12:31.725
Really common objection.

00:12:32.064 --> 00:12:33.675
And thank you for Andrew
for bringing this up.

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All right, let's get back to Andrew.

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Now, yes.

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Were there times in which there
was friction and it just fell flat?

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Of course, just like any perfectly
run medic process, it doesn't work

00:12:42.865 --> 00:12:44.094
a hundred percent of the time.

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Right.

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But what that gave us was a far
greater level of predictability.

00:12:48.365 --> 00:12:52.240
And most importantly, When you look
at the consumption metrics, right?

00:12:52.260 --> 00:12:55.540
Those were the ones that ultimately
wound up consuming more, which meant

00:12:55.540 --> 00:12:57.020
their net retention rates went up.

00:12:57.210 --> 00:12:57.490
Right.

00:12:57.490 --> 00:13:00.069
And as you very well know, and preach
better than anyone in the world, that

00:13:00.069 --> 00:13:01.799
is the best leading indicator, right.

00:13:01.800 --> 00:13:03.149
Of a healthy software company.

00:13:03.149 --> 00:13:06.390
And so sometimes there's a little bit
of pain involved in getting there, but

00:13:06.390 --> 00:13:08.320
it's necessary if you want to have right.

00:13:08.320 --> 00:13:09.579
A sustainable business.

00:13:09.579 --> 00:13:09.929
Do

00:13:09.930 --> 00:13:13.720
you think that's a shift in the last
like decade or two of like, if we

00:13:13.720 --> 00:13:18.365
went back 20 years ago, The VP of
engineering was doing more top down.

00:13:18.485 --> 00:13:20.595
They were like, this is
going to be my tech stack.

00:13:20.595 --> 00:13:22.435
This is going to be our
developer environment.

00:13:22.915 --> 00:13:25.415
And people can sort of just conform.

00:13:25.955 --> 00:13:31.955
And have we shifted to a more engineering
first culture where it's like, almost like

00:13:31.955 --> 00:13:36.655
a servant leadership, you know, like as
the VP of engineering, my job is to make

00:13:36.665 --> 00:13:39.505
my engineers as productive as possible.

00:13:39.505 --> 00:13:42.155
And if they're servicing cool
tools that will help that they

00:13:42.155 --> 00:13:43.694
like that shows that productivity.

00:13:44.170 --> 00:13:46.800
That's my job is to clear that
space and make that happen.

00:13:46.800 --> 00:13:48.000
Has that flipped a little bit?

00:13:48.479 --> 00:13:50.010
I absolutely believe so, Mark.

00:13:50.010 --> 00:13:53.930
And you know, I speak with many C
level executives and they do reach

00:13:53.930 --> 00:13:57.050
down into their organization to find
out the trends and what's happening.

00:13:57.365 --> 00:14:00.605
And I think there's this old saying that
goes, don't ever bet against open source.

00:14:00.675 --> 00:14:03.645
And it's because it is so easy,
but at the end of the day,

00:14:03.645 --> 00:14:04.965
these developers are powerful.

00:14:04.965 --> 00:14:05.634
They're smart.

00:14:05.635 --> 00:14:08.725
They spend their spare time
evaluating these things and

00:14:08.755 --> 00:14:10.244
participating in these communities.

00:14:10.244 --> 00:14:14.614
And it's a really nice leading indicator
of the future of, you know, what products,

00:14:14.615 --> 00:14:18.265
particularly in cloud infrastructure
and data are going to rise to the top.

00:14:18.655 --> 00:14:19.935
Community led growth

00:14:19.944 --> 00:14:24.415
has become a bit of an acronym,
you know, like product led growth.

00:14:24.694 --> 00:14:27.745
I think it's about maybe a
five year delay in a way.

00:14:27.745 --> 00:14:29.115
I'm quite intrigued by it.

00:14:29.505 --> 00:14:33.214
Would you consider this motion
that you all used at Astronomer

00:14:33.234 --> 00:14:34.734
as community led growth?

00:14:35.095 --> 00:14:37.555
Yeah, I mean, look, anytime
you're an open source, like

00:14:37.555 --> 00:14:39.535
your first job is the community.

00:14:39.835 --> 00:14:40.335
That's it.

00:14:40.444 --> 00:14:40.865
Period.

00:14:40.865 --> 00:14:41.204
The end.

00:14:41.204 --> 00:14:43.505
And without a vibrant community,
you don't earn the right to

00:14:43.505 --> 00:14:45.495
actually monetize anything.

00:14:45.495 --> 00:14:48.564
And so we took a strategy was
called the three C's, which was

00:14:48.564 --> 00:14:50.345
community content conversion.

00:14:50.535 --> 00:14:53.795
And if we didn't do all of the right
things to engage the community, which is

00:14:53.795 --> 00:14:59.785
a combination of obviously solid technical
leadership and feature velocity and

00:14:59.795 --> 00:15:02.204
development into the core open source.

00:15:02.530 --> 00:15:07.500
But also rich documentation, rich
libraries, rich certifications, right?

00:15:07.500 --> 00:15:09.710
Where we hired the top person
from Udemy to run these

00:15:09.710 --> 00:15:11.719
classes and gave away 25, 000.

00:15:11.990 --> 00:15:14.030
Free certifications to go do that.

00:15:14.310 --> 00:15:18.089
All of the right content that HubSpot
and others made very famous, where it was

00:15:18.089 --> 00:15:20.810
like, look, you're looking to integrate
this with Snowflake or Databricks and

00:15:20.810 --> 00:15:25.589
provide all of that with no paywall, no
emails, I don't want anything from you.

00:15:25.589 --> 00:15:27.309
Just use all that information.

00:15:27.559 --> 00:15:30.609
You have to combine those two
things before you have the right

00:15:30.619 --> 00:15:32.310
to even think about converting.

00:15:32.590 --> 00:15:36.720
Them into some paid product or
into a conversation around where

00:15:36.720 --> 00:15:39.150
your value can materialize itself.

00:15:40.430 --> 00:15:41.870
Hey folks, just Mark here.

00:15:42.060 --> 00:15:46.129
Yeah, I'm just loving this
journey with Andrew right now.

00:15:46.130 --> 00:15:47.930
I'm loving learning from him.

00:15:48.639 --> 00:15:52.379
You know, there, there's some
big movements at play here.

00:15:52.529 --> 00:15:54.909
This is getting back to empowered buyers.

00:15:56.369 --> 00:15:58.169
I think that's partially what drove.

00:15:58.634 --> 00:16:03.355
The interest and success of
product led growth, empowering

00:16:03.355 --> 00:16:05.365
buyers to go try product.

00:16:05.584 --> 00:16:08.915
And I feel like community
led growth is coming fast.

00:16:09.555 --> 00:16:12.094
This is a new marketing mechanism.

00:16:12.094 --> 00:16:16.494
This is a new go to market motion that's
going to be just as disruptive and

00:16:16.495 --> 00:16:18.395
just as powerful as product led growth.

00:16:18.594 --> 00:16:22.765
It's obviously crawling out
of The open source arena.

00:16:23.365 --> 00:16:27.724
And I believe it's applicability beyond
that domain, beyond DevOps, beyond

00:16:27.765 --> 00:16:31.635
infrastructure to almost any type of
B2B software is going to be powerful.

00:16:32.145 --> 00:16:37.674
So I love digging in here with Andrew
to learn these concepts like community,

00:16:37.994 --> 00:16:44.454
content, and conversion to really dive
into the uniqueness of dark social, a

00:16:44.454 --> 00:16:48.634
concept that's coming up here, but it's
becoming ever increasingly important

00:16:49.005 --> 00:16:51.924
to marketers to be at the front.

00:16:52.425 --> 00:16:55.655
Of when the demand and awareness
cycle happens and get visibility

00:16:55.655 --> 00:17:00.234
into that and nurture it and create
a moat at the marketing side for

00:17:00.234 --> 00:17:01.915
your business through your community.

00:17:02.665 --> 00:17:02.915
All right.

00:17:02.915 --> 00:17:03.494
This is important.

00:17:03.504 --> 00:17:05.415
Let's hear more from
Andrew on this concept.

00:17:06.774 --> 00:17:10.064
And so we really worked very hard
on those three C's, but really

00:17:10.064 --> 00:17:11.294
the first two to earn the right

00:17:11.294 --> 00:17:11.854
for the third.

00:17:12.105 --> 00:17:13.365
So define that for us.

00:17:13.365 --> 00:17:17.314
Cause I think as PLG took off, I
mean, it was kind of called freemium

00:17:17.314 --> 00:17:21.024
before, and then people call it
PLG and that really took off.

00:17:21.025 --> 00:17:21.279
And.

00:17:22.240 --> 00:17:28.550
It was, it was a little difficult to
define the boundaries of where PLG sat.

00:17:28.780 --> 00:17:33.040
And after staring at this for a
long time, for me, it was basically.

00:17:34.505 --> 00:17:39.655
If I could use your product and
extract value from your product without

00:17:39.665 --> 00:17:43.644
talking to a human, whether it was
for seven day trial, whether it was

00:17:43.655 --> 00:17:48.404
forever without any payroll, that to
me was a product led growth motion.

00:17:49.055 --> 00:17:50.745
How do you define community led growth?

00:17:50.915 --> 00:17:53.415
Like, where is the, is there
a clear boundary there?

00:17:55.095 --> 00:17:58.395
Yeah, I mean, look, PLG is, as
you suggested, and many folks have

00:17:58.395 --> 00:18:02.065
done, a world class job against
that and instrumenting for the aha

00:18:02.065 --> 00:18:04.485
moment, and when users convert into.

00:18:04.919 --> 00:18:07.129
Teams, and then you can go after
the enterprise and all of that.

00:18:07.129 --> 00:18:09.800
And I think that's well defined
and well pioneered by many of

00:18:09.800 --> 00:18:10.919
the greats that are out there.

00:18:11.250 --> 00:18:14.479
I think on the community side, you know,
there's a lot of adjacencies there.

00:18:14.479 --> 00:18:17.759
So you have the core community of like
the personas that you serve, where

00:18:17.759 --> 00:18:21.849
you want them speaking, evangelizing,
and talking to their peers about

00:18:21.850 --> 00:18:26.020
using your technology or your set of
technologies, but then you also have

00:18:26.020 --> 00:18:29.850
the spheres of influence and sort of the
adjacencies, like the VP of engineering,

00:18:29.850 --> 00:18:31.589
right, in this case, or the CIOs.

00:18:31.865 --> 00:18:35.585
Or the heads of business or the
folks that run, you know, your cloud

00:18:35.605 --> 00:18:37.245
data warehouses in this example.

00:18:37.245 --> 00:18:39.155
And so you have a multitude
of these communities that

00:18:39.175 --> 00:18:40.565
ultimately then can intersect.

00:18:41.045 --> 00:18:41.235
Right.

00:18:41.235 --> 00:18:42.605
And that's much different than PLG.

00:18:42.605 --> 00:18:46.944
PLG is like just getting the product at
all costs and then our system takes over.

00:18:47.145 --> 00:18:51.074
The communities are a lot more
intricate and a lot more complicated

00:18:51.244 --> 00:18:53.155
and intersect in many different ways.

00:18:53.185 --> 00:18:57.275
And in fact, actually running both
strategies is really powerful.

00:18:57.275 --> 00:18:57.985
It's tricky.

00:18:58.175 --> 00:19:02.015
But if you think about it, actually
executing against that community process

00:19:02.045 --> 00:19:05.905
into a PLG motion gives you perfect
nirvana because in theory, then they get

00:19:05.905 --> 00:19:10.295
into your funnel, a lot more educated, a
lot more willing, and sort of already down

00:19:10.295 --> 00:19:12.125
that path versus just, Oh, I landed here.

00:19:12.125 --> 00:19:13.585
Let me check this out
and see what it's like.

00:19:13.775 --> 00:19:17.834
Let's stretch the boundaries on
that and go way outside this context

00:19:17.914 --> 00:19:19.024
where it's typically applied.

00:19:19.545 --> 00:19:21.645
You know, there's just a lot
of companies, for example, a

00:19:21.645 --> 00:19:22.975
lot of entrepreneurs right now.

00:19:23.245 --> 00:19:26.755
Creating SDR co-pilot
technology, something that our

00:19:26.755 --> 00:19:28.315
audience can relate to, right?

00:19:28.315 --> 00:19:32.335
So basically these are, you know,
ai, ai co-pilots where it's like,

00:19:32.340 --> 00:19:38.025
okay, I as an SDRI go out, I find 50
accounts a month, create sequences,

00:19:38.025 --> 00:19:42.475
I execute them, I manage connect
calls, I set appointments, whatever.

00:19:43.015 --> 00:19:46.555
And you know, a lot of that
can be streamlined, automated

00:19:46.555 --> 00:19:50.165
using AI as an entrepreneur.

00:19:50.165 --> 00:19:54.275
In that use case, can I
use community led growth?

00:19:54.699 --> 00:19:55.469
Absolutely.

00:19:55.499 --> 00:19:59.790
At the end of the day, you just still
have to balance, right, the boundaries

00:19:59.790 --> 00:20:02.739
of these technologies like anything
else, whether you're using community

00:20:02.739 --> 00:20:04.340
led growth in that AI context.

00:20:04.700 --> 00:20:07.560
Or you're using, right, those
AI tools just to automate

00:20:07.570 --> 00:20:09.220
outreach or other sequences.

00:20:09.260 --> 00:20:12.629
You need to still ensure that you
have that personalized touch and

00:20:12.629 --> 00:20:16.979
you don't come off as a robot and a
machine because it's very disingenuous.

00:20:17.040 --> 00:20:20.230
And I've used some of these things and
seen some of these messages from like,

00:20:20.550 --> 00:20:23.580
I'm not really sure if the person on
the other end is going to look at this

00:20:23.820 --> 00:20:25.820
and actually believe that I'm a human.

00:20:25.820 --> 00:20:27.000
Now, some of them are good enough.

00:20:27.070 --> 00:20:31.040
And so I guess my long winded answer
is to say, yes, but you absolutely need

00:20:31.040 --> 00:20:34.020
to be careful like you would with any
other applied use of that technology.

00:20:38.160 --> 00:20:42.050
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00:21:21.210 --> 00:21:28.100
What new roles come up in taking a
community led growth first mentality?

00:21:28.119 --> 00:21:34.610
Because I, if I draw an analogy to
PLG, you know, in B2B software, The

00:21:34.610 --> 00:21:38.003
PLG movement created this growth role.

00:21:38.003 --> 00:21:41.900
It kind of like blurred the
boundaries between product and

00:21:41.900 --> 00:21:43.820
marketing and brought them together.

00:21:44.350 --> 00:21:48.319
This sort of like growth role
would own this human, this funnel.

00:21:48.460 --> 00:21:50.810
They would run experiments like crazy.

00:21:50.859 --> 00:21:52.129
They would be data driven.

00:21:52.570 --> 00:21:55.159
These data scientists became popular.

00:21:55.479 --> 00:21:57.740
They often had data analysts on the team.

00:21:58.129 --> 00:22:01.759
They were product managers working with
engineers working side by side with like

00:22:01.939 --> 00:22:04.439
paid digital designers and marketers.

00:22:05.414 --> 00:22:08.685
What's the analog to that
in the community side?

00:22:08.695 --> 00:22:10.555
Do we have like community managers now?

00:22:10.555 --> 00:22:11.845
Or how do you, how does this.

00:22:12.350 --> 00:22:14.090
evolve the roles and the team.

00:22:15.479 --> 00:22:20.959
In the open source world to developers
is developer advocates, and you can

00:22:20.969 --> 00:22:24.489
argue whether they belong in product,
whether they belong in marketing.

00:22:24.629 --> 00:22:26.120
They shouldn't be in sales, right?

00:22:26.120 --> 00:22:30.360
They certainly can be under a CRO org, if
you have enough of the wall set up, but

00:22:30.360 --> 00:22:34.230
their job and their team's job is simply
to go out there and help the community.

00:22:34.545 --> 00:22:38.635
And it does drive sales professionals
crazy when they find out that Mark was

00:22:38.635 --> 00:22:42.445
at a conference and spoke with Jane and
Jane's in charge of data engineering

00:22:42.445 --> 00:22:44.325
at JP Morgan or whatever company.

00:22:44.515 --> 00:22:46.695
And you didn't tell
sales, what are you doing?

00:22:46.695 --> 00:22:47.055
Mark?

00:22:47.084 --> 00:22:50.345
Like, and it's like, no, no, no, that's
actually the worst thing you could do.

00:22:50.614 --> 00:22:53.995
And so there's definitely friction
there, but it is necessary.

00:22:53.995 --> 00:22:54.445
And as.

00:22:54.740 --> 00:22:59.860
You know, revenue leaders in that space
is incumbent on us to give those teams,

00:22:59.880 --> 00:23:04.670
the space to breathe and to foster
those relationships, because it is

00:23:04.850 --> 00:23:09.160
something that compounds over time into
material value for your organization.

00:23:09.419 --> 00:23:10.790
But it's not a one hit wonder.

00:23:10.900 --> 00:23:12.220
You've got to be comfortable with that.

00:23:12.220 --> 00:23:13.729
It's hard and it takes time.

00:23:13.730 --> 00:23:16.740
And that's the flywheel that
ultimately gets going there.

00:23:16.740 --> 00:23:18.990
And then you can choose
to invest in one or 10 or.

00:23:19.005 --> 00:23:21.975
20 or 30 of those and you know,
how you scale that out, but

00:23:21.975 --> 00:23:23.265
it's the developer advocacy.

00:23:23.785 --> 00:23:23.985
All right.

00:23:23.985 --> 00:23:24.985
This is intriguing,

00:23:25.005 --> 00:23:25.575
Andrew.

00:23:25.625 --> 00:23:28.744
I want to make sure we have
time to get to your latest role.

00:23:28.744 --> 00:23:32.214
Cause there's a whole new set
of go to market challenges.

00:23:32.225 --> 00:23:33.015
So happen.

00:23:33.930 --> 00:23:39.550
Rockstar company, your CRL, very different
context that you're walking into.

00:23:40.430 --> 00:23:43.800
Paint that for us and what's
ahead for you in this role.

00:23:44.169 --> 00:23:44.499
Yeah.

00:23:44.500 --> 00:23:48.030
So look, we're publicly traded company
in the Australian stock exchange, right?

00:23:48.030 --> 00:23:50.834
Our revenues, 330 million a year.

00:23:50.834 --> 00:23:52.739
Appen is so exciting.

00:23:52.749 --> 00:23:57.050
And you know, on one hand, it's
the forefront of where AI is

00:23:57.080 --> 00:23:58.450
being developed and consumed.

00:23:58.450 --> 00:24:00.330
And on the other hand,
it's a very mature company.

00:24:00.330 --> 00:24:01.670
It's been around for a while.

00:24:02.054 --> 00:24:06.574
Helping companies create the necessary
data to train their AI model.

00:24:06.704 --> 00:24:10.624
We've had those tools forever that
happened in a more services led approach.

00:24:10.624 --> 00:24:14.444
And now we're combining those to be
much more product led with services

00:24:14.444 --> 00:24:15.424
that are enabled around that.

00:24:15.424 --> 00:24:18.245
It's really exciting given
the rise of LLMs and all the

00:24:18.245 --> 00:24:19.844
conversation we find ourselves in.

00:24:20.724 --> 00:24:20.924
So

00:24:20.935 --> 00:24:23.175
how does a 300 million plus.

00:24:24.120 --> 00:24:28.080
Services, consulting business run.

00:24:28.740 --> 00:24:33.440
And in parallel, you are launching and
growing a product business within that.

00:24:33.480 --> 00:24:36.800
That must create some operational
challenges and tension.

00:24:38.499 --> 00:24:39.700
This is a very good question, Mark.

00:24:39.730 --> 00:24:43.599
Look at the end of the day, this
is a set of tooling that we've

00:24:43.599 --> 00:24:48.950
run 24, 000 AI projects over the
last 15 years on our own tooling.

00:24:49.290 --> 00:24:53.280
Some of our customers use that tooling
and it's really just to say, Hey, look,

00:24:53.520 --> 00:24:59.250
we've done that many projects with 50 plus
million man hours on these tools that now

00:24:59.250 --> 00:25:04.220
we're just going to expose out to folks to
be able to use because what we're finding,

00:25:05.100 --> 00:25:09.864
I don't know why more entrepreneurs
don't start as a services business.

00:25:10.194 --> 00:25:12.525
And then turn into a product business.

00:25:13.254 --> 00:25:14.414
Yeah, there are some issues.

00:25:14.514 --> 00:25:16.074
You know, I think I do know why.

00:25:16.784 --> 00:25:21.084
And that is because back in the
day, we used to think that services

00:25:21.084 --> 00:25:23.684
businesses were VC fundable.

00:25:23.685 --> 00:25:28.374
And they became a really tarnished
business model, especially

00:25:28.374 --> 00:25:29.294
for venture capitalists.

00:25:29.294 --> 00:25:30.444
They weren't as scalable.

00:25:30.925 --> 00:25:32.995
And so I think a lot of
people have walked away.

00:25:33.555 --> 00:25:35.495
From pursuing a services business.

00:25:36.205 --> 00:25:42.475
And yet I think it's an amazing foundation
upon which to build a product business.

00:25:43.085 --> 00:25:48.305
You are essentially getting paid by
the market to do your market research.

00:25:48.685 --> 00:25:50.165
You are not sitting in.

00:25:50.804 --> 00:25:57.054
An insular room hypothesizing on where
the demand is, you are out there solving

00:25:57.064 --> 00:26:02.644
real problems for real customers, driving
value and understand how it works.

00:26:02.704 --> 00:26:05.665
You are seeing the patterns
from client to client to client.

00:26:05.945 --> 00:26:09.885
You are in such a better position
to architect and get right

00:26:09.894 --> 00:26:13.695
from the beginning your minimal
viable product as you transition.

00:26:14.094 --> 00:26:18.415
Now, there are certainly challenges
in that as you make that transition.

00:26:18.415 --> 00:26:18.479
Appreciate it.

00:26:18.960 --> 00:26:23.650
But I wish I saw more entrepreneurs start
in their pursuit of their problem they're

00:26:23.650 --> 00:26:29.639
solving with a services orientation and
then use that to transition into product.

00:26:30.189 --> 00:26:31.319
All right, let's get back to Andrew.

00:26:32.640 --> 00:26:36.060
It's like in the case of a large
financial institution, if you're

00:26:36.060 --> 00:26:41.780
going to create an LLM in sort of
wealth management and 401k rollovers.

00:26:42.060 --> 00:26:45.690
The experts on that data and their
call center transcripts and your

00:26:45.710 --> 00:26:49.790
internal acronyms and how your software
works are best held internally.

00:26:49.919 --> 00:26:53.800
And so you're going to need these tools
and these platforms for your internal

00:26:53.800 --> 00:26:58.170
people to go create all of those
workflows and collaborate with each other.

00:26:58.199 --> 00:27:01.170
And the tools today and the options
that they have are spreadsheets.

00:27:01.339 --> 00:27:05.080
They have wikis, you have JIRA
tickets, you have SharePoint portals,

00:27:05.230 --> 00:27:07.159
and there is no streamlined way to.

00:27:07.340 --> 00:27:11.199
To help them mitigate their risk of
that data going to the wrong people's

00:27:11.199 --> 00:27:12.940
hands or the wrong things happening.

00:27:13.190 --> 00:27:16.509
There's no tools in place to help
them actually accelerate their time

00:27:16.509 --> 00:27:20.819
to value in, into production with
this massive backlog and at the same

00:27:20.819 --> 00:27:24.170
time, increase the effectiveness and
the efficiency and the collaboration.

00:27:24.465 --> 00:27:28.285
Across a dozen plus personas that
go involved into creating a simple

00:27:28.285 --> 00:27:30.375
LLM product into production.

00:27:30.385 --> 00:27:33.735
Because if you look at the life cycle
of personas involved, it's a lot.

00:27:33.965 --> 00:27:36.225
And they need a platform to
go work on and collaborate.

00:27:36.225 --> 00:27:37.724
And we've been doing that for a long time.

00:27:37.914 --> 00:27:39.225
We just have to reposition it.

00:27:39.225 --> 00:27:41.724
So people understand that it's
a really exciting spot to be in.

00:27:42.424 --> 00:27:44.675
Yeah, it's a, it's a
path of entrepreneurship.

00:27:44.675 --> 00:27:49.485
I wish was attempted more frequently
to really understand the market through

00:27:49.485 --> 00:27:51.495
the services and then productize it.

00:27:51.505 --> 00:27:53.165
Once you understand where the needs are.

00:27:53.710 --> 00:27:58.950
But I, I, I don't want to undermine the go
to market transitions that need to happen.

00:27:59.110 --> 00:28:00.640
So let's just talk for a second.

00:28:01.300 --> 00:28:03.650
You're mentioning the bank
and this wealth management.

00:28:04.650 --> 00:28:05.559
What did you do?

00:28:05.559 --> 00:28:09.530
Are you just giving the existing
account executive this product

00:28:09.549 --> 00:28:10.760
now and they're bringing it?

00:28:10.790 --> 00:28:14.339
Or is this a different type of
seller and different type of seller

00:28:14.339 --> 00:28:15.960
motion to, to make this happen?

00:28:16.274 --> 00:28:17.485
Very good question, Mark.

00:28:17.485 --> 00:28:20.485
And again, to your point of
entrepreneurship, maybe it's just

00:28:20.495 --> 00:28:22.225
actually called a glutton for punishment.

00:28:22.504 --> 00:28:25.314
I'm not sure, but these are
fun and interesting problems

00:28:25.314 --> 00:28:26.784
that I find myself working on.

00:28:26.925 --> 00:28:29.225
And this AI journey is
actually no different.

00:28:29.225 --> 00:28:31.745
And the common thread here
is a really technical sale,

00:28:31.935 --> 00:28:33.584
a real technical engagement.

00:28:33.850 --> 00:28:37.840
Having to hire, uh, you know,
the professionals that interface

00:28:37.840 --> 00:28:39.530
with these personas as peers.

00:28:39.739 --> 00:28:43.349
So instead of a traditional sales
engineer, you know, I'm hiring data

00:28:43.349 --> 00:28:46.010
scientists and machine learning
engineers that go and partner

00:28:46.010 --> 00:28:47.679
very deeply with these customers.

00:28:47.889 --> 00:28:49.429
Run the onsite workshops.

00:28:49.764 --> 00:28:53.975
Whiteboard their problems with them, help
them understand the data that's necessary

00:28:53.975 --> 00:28:57.745
here and help them build those prototypes
with them so that they can understand and

00:28:57.745 --> 00:29:02.084
working code on the platform, how this
would work, which allows us to create the

00:29:02.094 --> 00:29:06.254
business case and the opportunity for them
to see the light and how this can have a

00:29:06.254 --> 00:29:08.975
dramatic impact across the organization.

00:29:09.855 --> 00:29:14.945
Yeah, we're swinging back to
these very technical roles.

00:29:15.614 --> 00:29:18.495
You know, a lot of us
live in B2B SaaS and.

00:29:19.245 --> 00:29:23.965
There's kind of been a progression
from like 25 years ago of like, Hey,

00:29:24.215 --> 00:29:26.435
can the technology even do this?

00:29:26.675 --> 00:29:29.275
And we did have technical
people sitting side by side to

00:29:29.275 --> 00:29:30.555
go head to head with the CTO.

00:29:31.935 --> 00:29:37.004
To suddenly like, yeah, we pretty much
know how this tech is going to work.

00:29:37.004 --> 00:29:38.264
It's, it's well understood.

00:29:38.264 --> 00:29:39.534
It's relatively commoditized.

00:29:39.925 --> 00:29:42.225
And it's more about the go to market.

00:29:42.225 --> 00:29:43.245
It's more about the brand.

00:29:43.245 --> 00:29:46.785
And it's more about the category
creation that's going to drive

00:29:46.785 --> 00:29:47.875
the success of the business.

00:29:48.875 --> 00:29:50.805
I haven't sat around and been like, oh.

00:29:51.705 --> 00:29:55.315
Is that SaaS business
even technically feasible?

00:29:55.395 --> 00:29:57.275
That hasn't come up for
me in like a decade.

00:29:58.215 --> 00:30:01.375
Here comes AI and here comes
those challenges again.

00:30:01.925 --> 00:30:04.265
Is this even technically feasible?

00:30:04.625 --> 00:30:06.005
How does this work?

00:30:06.305 --> 00:30:08.855
What kind of security
implications does this have?

00:30:09.105 --> 00:30:10.965
I don't know how to adopt this stuff.

00:30:11.215 --> 00:30:14.675
So here comes the technical
sales support staff back.

00:30:15.185 --> 00:30:18.495
And a lot of us haven't had
experience in that in a while.

00:30:18.965 --> 00:30:22.000
Just a heads up, This
is not unique to Appen.

00:30:22.390 --> 00:30:24.010
This is not unique to DevOps.

00:30:25.000 --> 00:30:30.120
If 90 percent of B2B software
sales is going to be AI in the

00:30:30.120 --> 00:30:34.510
next 5 or 10 years, this is coming,
especially in the early phases.

00:30:34.910 --> 00:30:37.300
So pay attention to
Andrew's guidance here.

00:30:37.660 --> 00:30:41.140
And think about it if you're going
in that direction with your product.

00:30:41.710 --> 00:30:42.820
All right, let's get back to Andrew.

00:30:44.150 --> 00:30:47.390
And so it's really just pattern
matching from my last 12 years in

00:30:47.390 --> 00:30:49.120
different areas of, of this space.

00:30:49.120 --> 00:30:52.410
And arguably this is the largest
one of them all inside of AI

00:30:52.410 --> 00:30:53.560
and really excited about it.

00:30:54.700 --> 00:30:54.980
Okay.

00:30:54.980 --> 00:30:55.920
That's fair.

00:30:56.030 --> 00:30:59.980
Now be a coach that as someone who has
experience in there, so I'm sitting here

00:30:59.980 --> 00:31:06.950
as CRO of a pretty big team and I want
to benefit from SDR co pilot technology.

00:31:07.650 --> 00:31:10.120
But my legal team's saying,
no, we're not ready.

00:31:10.230 --> 00:31:12.580
We need another six months
to get our act together.

00:31:12.580 --> 00:31:17.140
And I'm on the other side, there's
this startup seller who's like, Hey, we

00:31:17.140 --> 00:31:19.160
just raised money at a huge valuation.

00:31:19.170 --> 00:31:20.910
We need some pilots going on here.

00:31:21.390 --> 00:31:23.160
And the CRO is like, I love this.

00:31:23.180 --> 00:31:24.020
I want this.

00:31:24.970 --> 00:31:29.430
But my legal team has given
me the Heisman for six months.

00:31:30.100 --> 00:31:32.950
What is your recommendation
as a sales leader, as a sales

00:31:32.950 --> 00:31:34.470
coach to get through that?

00:31:35.040 --> 00:31:38.930
The thing that we did successfully in some
of my earlier journeys we spoke about,

00:31:39.140 --> 00:31:42.730
right, was we just ran these small pilots
and then engaged these teams earlier.

00:31:42.970 --> 00:31:45.940
Again, it's counterintuitive, but
the sooner you get security involved

00:31:45.940 --> 00:31:49.120
or risk or legal into these, you
know, engagements, uh, better,

00:31:49.120 --> 00:31:51.940
and at least you understand where
your objections are a lot sooner.

00:31:52.180 --> 00:31:55.130
It's not a fun saying is if I'm going to
lose a deal, I'd certainly rather lose

00:31:55.130 --> 00:31:58.770
it in 30 days and 90 days or the last day
of the quarter when I had it forecasted.

00:31:58.960 --> 00:32:00.920
But again, blockers still exist.

00:32:00.920 --> 00:32:01.850
This is new.

00:32:02.150 --> 00:32:05.140
There are no standards and your
mileage will vary depending on

00:32:05.150 --> 00:32:08.360
person to person and company to
company, but that's sales 101, right?

00:32:08.730 --> 00:32:08.880
I

00:32:08.880 --> 00:32:11.540
was so excited, Andrew, when I heard.

00:32:12.045 --> 00:32:17.225
Uh, sales leader caliber like yourself
was jumping into Appin to help them

00:32:17.225 --> 00:32:22.825
with this exciting transformation
and to help lay the groundwork for

00:32:22.825 --> 00:32:25.405
this AI revolution that's coming.

00:32:25.415 --> 00:32:28.285
So I'm going to watch your story closely.

00:32:28.425 --> 00:32:29.895
I'm sure it's going to be a fun one.

00:32:30.435 --> 00:32:31.099
And I really appreciate it.

00:32:31.130 --> 00:32:33.560
I appreciate you joining
us today to drop knowledge.

00:32:33.930 --> 00:32:34.510
Thanks, Mark.

00:32:34.560 --> 00:32:35.200
It was a pleasure.

00:32:35.200 --> 00:32:35.730
I appreciate it.

00:32:35.730 --> 00:32:36.150
Thank you.

00:32:43.450 --> 00:32:46.310
Today's episode is written
and produced by Matthew Brown.

00:32:46.670 --> 00:32:49.370
Our show is edited by
Pizza Shark Productions.

00:32:49.740 --> 00:32:53.159
Big thanks to HubSpot for Startups
and to the HubSpot Podcast

00:32:53.160 --> 00:32:54.880
Network for keeping the audio on.

00:32:55.080 --> 00:32:56.740
Hey, also, we're a new show.

00:32:56.810 --> 00:32:58.104
So if you like what you hear, subscribe.

00:32:58.345 --> 00:33:01.415
Or if you hate what you hear,
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00:33:01.415 --> 00:33:02.595
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00:33:02.605 --> 00:33:03.635
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00:33:03.935 --> 00:33:05.555
Also check out stage two capital.

00:33:05.675 --> 00:33:11.994
We're the first VC firm running
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00:33:11.995 --> 00:33:14.165
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00:33:14.165 --> 00:33:15.675
check out stage two dot capital.

00:33:16.055 --> 00:33:17.325
All right, that's it for today.

00:33:17.545 --> 00:33:18.305
I'm Mark Roberge.

00:33:18.315 --> 00:33:18.935
See you next week.

