Episode Transcript
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Hey folks, today we have Andrew Ettinger
0:41
on the show, a gentleman that's been a friend for
0:43
a number of years. He's kind of my go-to guy
0:46
on DevOps and infrastructure.
0:48
Pretty unique sales motion. He's
0:51
been a sales leader across
0:54
six or seven companies.
0:56
He was the one that took Pivotal
0:58
from $0 to $500 million in ARR, and
1:01
it was eventually sold to VMware. Another
1:04
one he did was Astronomer, where
1:06
we're going to unpack that a little bit and sort of the
1:08
early signs of community-led growth. And
1:11
more recently, he's joined Appen as
1:14
CRO, a $300 million
1:17
revenue company out of Australia that's publicly
1:19
traded, as he tries to help
1:21
the team pivot to more of a software
1:24
product-led company. All right,
1:26
here's my conversation with Andrew. We
1:31
got a lot to cover today. I do want to
1:33
start with Astronomer. Give us the 30 seconds
1:35
on what Astronomer does, and then tell
1:38
us a little bit of what
1:39
the context was like there when you joined.
1:41
Yeah, happy to, Mark, and thanks for that. I
1:43
think like most folks on your show, I like to build, I
1:45
like to fix, I like to grow.
1:47
And it was one of those opportunities in your career
1:50
where there was an open-source community that was
1:52
vibrant but also fractured at the same
1:54
time and needed to be repaired
1:56
and restored for growth.
1:58
At the end of the day, it was an an open
2:00
source company around Apache
2:02
Airflow, which very simply put was data orchestration.
2:05
Basically connecting all your disparate parts inside
2:07
of your modern data stacks, your data gets from point
2:10
A, right to point B in a safe, secure
2:12
and reliable way. So when I joined,
2:14
it was like an opportunity to say, hey, look, how many times
2:16
in your life do you get to go join a top level Apache
2:19
project, all the vanity metrics
2:21
of 20,000 plus stars and a million
2:23
downloads, et cetera, and really actually
2:25
give that some new energy. There were about 20,
2:27
25 people in the company and
2:30
sub a million dollars in revenue when I started.
2:32
So we went from that sub million to the mid
2:35
twenties, which included launching a cloud
2:37
product and taking some other revenue that
2:39
were, you know, in other channels
2:41
down. So it was actually more growth than that, but it was a
2:43
really exciting time and companies continue
2:45
to do absolutely fantastic under Andy Byron
2:48
and team and they're crushing it right now. Awesome.
2:50
You said coming in, it
2:53
was a little fractured, the community.
2:55
Can you tell us what that means? Like, how
2:58
did you know it was fractured? How do you measure
3:00
that? And what do you think was the cause of it? Yeah,
3:02
look, again, you know, I think the developer
3:04
is very powerful and they have a very powerful
3:07
voice. And there was a number of kind
3:09
of core and foundational features that
3:12
had been asked to be included in the
3:14
project for a number of years. It just never materialized
3:17
into a packaged upgrade
3:19
and piece of software that folks could use. Namely,
3:22
the scheduler, which made all of these things
3:24
work was not highly available. So
3:26
as you saw to put this into your
3:28
mission critical workloads, you couldn't have a single
3:30
point of failure. Something just very basic,
3:33
such as that. And there were a lot of promises made
3:35
that weren't fulfilled. And so ultimately
3:37
to astronomers credit, the engineering team really
3:39
delivered on that promise. And that really kind
3:42
of gave a rebirth to
3:44
the growth of the project. And a lot
3:46
of hard work went into that and further, but that
3:48
was really it. There were just a lot of skeptics that maybe in
3:50
fact, there was a new way of doing things because
3:52
there was not enough attention paid to some of
3:54
the legacy features that were required. So
3:57
this is a pretty unique context. We haven't really
3:59
unpacked. on the show and that
4:02
is this very developer centric open
4:04
source context. As a newcomer
4:07
to that, as a revenue person, as
4:09
a salesperson, I would be a little freaked
4:12
out. Developers, it's a culture
4:14
of its own and I don't, generally
4:16
speaking, I might say that developers
4:19
don't have a ton of respect for salespeople
4:22
per se. Was that the context
4:24
there? How did you navigate that? How would you
4:26
recommend a sales leader coming into
4:28
a context like take that on? Yeah,
4:31
well, I think, Mark, you hit the nail on the
4:33
head. Look, I've had a lot of history before this
4:35
with open source developers at Pivotal and Spring
4:38
Boot and that whole movement. So I had a little
4:40
bit of experience here and as a
4:42
result, I built technical chops and capabilities
4:44
that I didn't have in my career. And
4:47
so the first thing to your point, you
4:49
cannot do is sell and you have to add
4:51
value. And so obviously
4:54
I show up looking like a salesperson, probably
4:56
talk like a salesperson and probably
4:58
I'm not that incognito there. But once
5:00
you start to add value and actually
5:02
show that you can help and understand
5:05
and have empathy to solve the
5:07
problems that they have and show them the way you
5:09
start to earn the credibility and the respect.
5:12
And I think it all comes down to understanding
5:14
the user journey that they're on, because
5:16
once you understand that user journey, you can
5:19
understand the pain that they're in, in
5:21
their environment, their situation, ultimately the impact
5:23
you could have. So it still comes down to the basics of
5:25
fundamental selling and qualification. You're
5:27
just doing it a much different way. That's much more
5:29
technical led than sort of sales
5:32
and qualification led, if that makes sense. It
5:34
does, but can you unpack value a little
5:36
bit? Because I'm going to channel
5:38
a new seller or leader coming into this context.
5:41
It almost feels like I
5:42
have to go
5:43
spend three years in some sort of computer
5:45
science department to go
5:48
toe to toe with these folks. How can I possibly
5:50
add value to a developer
5:53
who's been coding for 15 years when I've never
5:55
touched code? Or did you have to go and
5:57
literally learn to code a little bit? I
5:59
would say. that I had to learn to code, but
6:01
I did learn how to use the product.
6:04
And I did learn how at the
6:06
end of the day, if you're a developer
6:08
and you're deploying something to production and
6:10
being able to view and look at logs and
6:13
metrics in a dashboard that could tell you
6:15
the health, the state, and how things
6:17
are running in production, you could very easily
6:19
show them how that might be something that would add
6:21
value to them that was previously
6:24
impossible in the open source world, or
6:26
that they would have to spend their precious time
6:28
coding, configuring, managing, upgrading,
6:31
supporting, and scaling out to the rest of the enterprise.
6:34
And that at the end of the day was not something
6:36
that a data engineer and that core persona
6:39
was really interested in doing. They were interested in
6:41
doing their daily lives of getting data ready
6:43
for the organization to consume and for business
6:45
leaders to make informed decisions and actions
6:47
to run the business off of. Okay. So if
6:50
I know like medic or I know like challenger
6:52
sale, something off the shelf, it
6:54
feels like I have to customize
6:56
that to this buyer context.
7:00
Like what falls flat if I'm just like
7:02
a straight out medic, implementer,
7:05
and I did that in whatever healthcare, finance,
7:07
whatever, and now I'm going into the developer environment.
7:10
How does that have to be tweaked? Yeah. Well,
7:13
for starters, most of the developers in
7:15
the open source world don't have any money. They don't
7:17
actually care about your metrics. They don't actually care
7:19
about being qualified and worse.
7:22
They actually have no idea how software gets procured
7:24
inside of their organization. At the end
7:26
of the day, you have to implement a process
7:29
such that they understand that you can
7:31
make their life better. And once you
7:33
do that, you've earned the credibility to then ask
7:36
for the next step on how you
7:38
would get to their boss, what this would
7:40
mean and how you would articulate the value. And
7:42
we've learned this the hard way, right? There were plenty
7:45
of times I called a Casper the ghost. You
7:47
thought you did a great job. You let them go
7:49
sell on your behalf to their boss and
7:51
guess what you see in Salesforce close
7:54
unresponsive. And so we had to really
7:56
radically change our engagement model around
7:59
situation. main impact that would
8:01
then frame up sort of where they
8:03
were trying to go and be very prescriptive about
8:06
how the engagement model worked and
8:08
earning the right and the credibility to
8:10
then take that next step together with
8:13
them and enabling them with the tools
8:15
and us and our technical personas
8:18
to be able to communicate with their VPs and heads
8:20
of engineering on the value that we could provide
8:23
and so it was a delicate dance mark there's no doubt about it.
8:25
How be unpacked that is like a sales
8:28
coach or manager so it's like okay
8:30
you're listening to a first
8:33
meeting between one of your reps and these
8:36
this engineer and the engineer
8:38
is loving it like oh my gosh this is great I
8:41
had no idea you've showed me exactly the
8:43
value I'm gonna take this to my VP
8:45
engineer and I need this product and
8:47
the engineer and this salesperson is like okay
8:49
that's great can I join the meeting
8:52
I'd like to be part of that and
8:54
the engine is no no no my VP
8:56
of engineering is extremely busy I'll just handle
8:59
this on my own and your salesperson
9:01
is like okay that's not acceptable
9:04
from what you're saying so how do you handle
9:06
that objection of like getting
9:08
the power in this context? Yeah it's
9:11
a very good question various student
9:13
mark and look at the end of the day
9:15
we did a lot of that early on and we learned our lessons
9:18
right and they were it was variable
9:20
obviously hard to predict hard to forecast and hard to
9:22
understand and so what we did was we learned
9:25
that if we drove them into the product which
9:27
was not product-led growth it was sales
9:29
led growth into the product and we got
9:31
them to deploy literally in a few hours
9:34
in a workshop a few of their pipeline
9:36
so that we we could show their
9:39
management their code working in this cloud
9:42
we drove an engagement process that we were
9:44
upfront and unapologetic about is like look
9:46
here is our process here's how we engage
9:49
here's your investment and here is what
9:51
we would like to do in return if we prove these things
9:53
like does this work for you and we were
9:55
able to attract them because we were willing to
9:57
invest the time in the product with their working
10:00
code and our engineers to solve
10:02
the problems that they had. And
10:04
ultimately because you're making their life 10 X
10:07
better and because you're giving them their time
10:09
away from focusing on the undifferentiated
10:12
heavy lifting required on a lot of developers
10:14
these days, they ultimately were ready to
10:16
take you there. Hey folks,
10:18
just Mark here. I stopped the recording. Yeah,
10:21
this is an extremely abstract,
10:23
common and very challenging
10:26
objection in sales that
10:28
I suppose we'll categorize as getting to power.
10:32
It's coming up more often because historically
10:34
in sales, we always call power
10:37
and due to some of these new motions
10:40
like product led growth or even community led
10:42
growth, like we're talking about here, it's
10:44
actually beneficial to engage the
10:46
non decision maker,
10:48
the people closer to the front line first,
10:51
and then use their excitement and their
10:53
support
10:54
to get to the decision maker. Now,
10:57
in most situations like this one with
10:59
Andrew, the engineer, even
11:02
though they're so excited for this product
11:04
would prefer to go to their VP
11:06
of engineering boss themselves
11:09
without the salesperson, they know
11:11
the boss, they know she is very busy and
11:14
they want to be very protective of her time.
11:17
And most of the time that's going to be a close
11:20
lost. And here's the reason why. Engineers
11:24
are not salespeople, and this is true in almost
11:26
any other product you're trying to sell. They're
11:29
going to position the product in how it benefits
11:32
them, not how it optimally benefits the
11:34
VP of engineering. And that's
11:37
what we have to get through first and foremost by getting access ourselves.
11:41
So Andrew walked through a couple techniques that he
11:43
uses with his team to get that access. I'll
11:46
give you two more. One that I like to
11:49
do is I like to say, okay, you know, first off, just ask, like, do you mind if I join
11:52
you in the meeting? Quarter of the time that
11:54
might actually work. And if they
11:56
say no, I'd prefer just to take this might be a good
11:58
time.
11:59
myself, then I'll
12:01
ask them, okay, great, just walk me through
12:03
how you're going to explain the product to them. And
12:08
there's a lot of different variations that you can
12:10
take. But essentially, after
12:13
they do so, you express some concern. You
12:16
express some concern like, hey, I
12:19
know you really want this product, but I
12:22
do this every day. And if I were
12:24
your VP of engineering, I'm not sure I would be that
12:26
excited based on how
12:28
you just walk me through the product. Are you sure
12:30
I can't just be sitting there in the room with you
12:32
or sitting on the Zoom with you to walk them through
12:34
it? I'm going to take another stab at it. And
12:37
if they absolutely deny me, now
12:40
I am sales coach. I'm
12:43
going to build the slide with
12:45
them that they're going to walk into
12:48
the office or walk the VP of
12:50
engineering through on Zoom. I'm
12:52
going to explain to them and build out
12:54
the content that positions my
12:57
product in the way that resonates best with
12:59
the VP of engineering to make sure that this
13:01
doesn't stall, that I can get through the
13:03
stage of the opportunity. Really
13:05
common objection. And thank you for Andrew
13:07
for burning this up. All right, let's get back to Andrew. Now,
13:11
yes, were there times in which there was friction
13:13
and it just felt like, of course, just like
13:15
any perfectly run medic process, it doesn't work 100%
13:17
of the time, right? But
13:20
what that gave us was a far greater
13:22
level of predictability. And most importantly,
13:24
when you look at the consumption metrics, right,
13:27
those were the ones that ultimately wound up consuming
13:29
more, which meant their net retention rates went up,
13:32
right. And as you very well know, and preach better than
13:34
anyone in the world, that is the best leading indicator, right,
13:36
of a healthy software company. And so sometimes
13:38
there's a little bit of pain involved in getting
13:40
there, but it's necessary if you want to have right,
13:43
a sustainable business. Do you think that
13:45
the shift in the last decade or two
13:47
of like, if we went back 20 years ago,
13:50
the VP of engineering was doing more top down,
13:53
they were like, this is going to be my tech stack,
13:55
this is going to be our developer environment. And
13:58
people can sort of just conform.
13:59
And
14:00
have we shifted to a more
14:03
engineering first culture where
14:05
it's like almost like a servant leadership,
14:08
you know, like as the VP of engineering, my job
14:11
is to make my engineers as productive
14:13
as possible. And if they're servicing cool
14:15
tools that will help that they like, that shows
14:17
that productivity, that's my job
14:19
is to clear that space and make that happen. Has that
14:22
flipped a little bit? I absolutely believe
14:24
so, Mark. And, you know, I speak with many
14:26
C-level executives and they do reach
14:28
down into their organization to find out the trends
14:31
and what's happening. And I think there's this
14:33
old saying that goes, don't ever bet against open source.
14:35
And it's because it is so easy. But
14:37
at the end of the day, these developers are powerful.
14:40
They're smart. They spend their spare time
14:42
evaluating these things and participating
14:44
in these communities. And it's a really nice leading indicator
14:47
of the future of, you know, what products,
14:49
particularly in cloud infrastructure and
14:51
data are going to rise to the top. Community
14:54
led growth has become a bit
14:56
of an acronym, you know, like product
14:58
led growth. I think it's about maybe
15:01
a five year delay in a way. I'm quite intrigued
15:03
by it. Would you consider this motion
15:06
that you all used as a astronomer as community
15:09
led growth? Yeah. I mean, look, anytime
15:11
you're an open source, like your first job
15:13
is the community. That's it. Period.
15:16
The end and without a vibrant community, you don't earn the
15:19
right to actually monetize anything. And
15:21
so the first strategy was called the three C's, which
15:23
was community content conversion. And
15:25
if we didn't do all of the right things to engage
15:27
the community, which is a combination of
15:30
obviously solid technical leadership and
15:32
future velocity and development
15:35
into the core open source, but
15:37
also rich documentation, rich
15:39
libraries, rich certifications,
15:42
right? Where we hired the top person from Udemy to
15:44
run these classes and gave away 25,000 free certifications
15:48
to go do that. All of the right content
15:50
that HubSpot and others made very famous
15:52
where it was like, look, you're looking to integrate this with snowflake
15:55
or Databricks and provide all of that with
15:57
no paywall, no emails. I don't
15:59
want any. from you just use all that information.
16:02
You have to combine those two things before
16:04
you have the right to even think about converting
16:07
them into some paid product or into
16:09
a conversation around where your value
16:12
can materialize itself. Hey
16:15
folks, just Mark here. Yeah, I'm just
16:18
loving this journey with
16:20
Andrew right now. I'm loving learning from
16:22
him. You know, there's some
16:24
big movements at play
16:26
here. This is getting back to empowered
16:29
buyers. I
16:31
think that's partially what drove the
16:34
interest and success of product-led
16:36
growth, empowering buyers to go
16:39
try product. And I feel like community-led
16:41
growth is coming fast. This
16:44
is a new marketing mechanism.
16:47
This is a new go-to-market motion that's
16:49
going to be just as disruptive and
16:51
just as powerful as product-led growth. It's
16:53
obviously crawling out of the open
16:56
source, arena, and
16:58
I believe it's applicability beyond
17:00
that domain, beyond DevOps, beyond infrastructure,
17:03
to almost any type of B2B software is
17:05
going to be powerful.
17:07
So I love digging in here with
17:09
Andrew to learn these concepts like
17:12
community,
17:12
content, and conversion. To
17:15
really dive into the uniqueness
17:17
of dark social, a concept
17:19
that's coming up here, but it's becoming ever
17:22
increasingly important
17:23
to marketers,
17:25
to be at the front of
17:27
when the demand and awareness cycle happens
17:29
and get visibility into that and nurture it
17:32
and create a moat at the marketing side
17:35
for your business, through your community. All
17:37
right, this is important. Let's hear more from Andrew on this
17:39
concept. And
17:41
so we really worked very hard on those three Cs,
17:44
but really the first two to earn the right for the third.
17:47
So define that for us, because I think as PLG
17:49
took off, I mean, it was kind of called freemium
17:52
before, and then people called
17:54
it PLG and that really took off. And it
17:58
was a little difficult to... to
18:00
find the boundaries of where PLG
18:03
sat. And after staring at this for a long
18:05
time, for me, it was basically
18:09
if I could use your product
18:11
and extract value from your product without
18:14
talking to a human, whether
18:16
it was for seven day trial, whether it was forever
18:19
without having a payroll, that to me
18:21
was a product led growth motion. How
18:24
do you define community led growth? Like where
18:26
is the, is there a clear boundary there? Yeah,
18:30
I mean, look, PLG is, as you suggested,
18:32
and many folks have done a world-class job
18:35
against that and instrumenting for the aha moment
18:37
and when users convert into teams,
18:40
and then you can go after the enterprise and all of that. And
18:42
I think that's well defined and well pioneered
18:44
by many of the grades that are out there. I
18:46
think on the community side, there's a lot
18:48
of adjacencies there. So you have the core community of
18:50
like the personas that you serve, where
18:52
you want them speaking, evangelizing
18:55
and talking to their peers about using
18:57
your technology or your set of technologies.
19:00
But then you also have the spheres of influence
19:02
and sort of the adjacencies like the VP of engineering,
19:04
right? In this case, or the CIOs or
19:07
the heads of business or the folks that
19:09
run, you know, your cloud data warehouses
19:11
in this example. And so you have a multitude of these
19:13
communities that ultimately then can intersect, right?
19:16
And that's much different than PLG. PLG
19:18
is like just getting the product at all costs. And then our
19:20
system takes over. The communities are
19:22
a lot more intricate and a lot more
19:25
complicated and intersect in many
19:27
different ways. And in fact, actually
19:29
running both strategies is really powerful.
19:32
It's tricky. But if you think about it, actually
19:34
executing against that community process
19:37
into a PLG motion gives you perfect
19:39
nirvana. Because in theory, then they get into your funnel
19:41
a lot more educated, a lot more willing
19:44
and sort of already down that path versus just,
19:46
oh, I landed here. Let me check this out and see what it's like.
19:48
Let's stretch the boundaries on that and
19:51
go way outside this context where it's typically
19:53
applied. You know, there's just a lot
19:55
of companies, for example, a lot of entrepreneurs right
19:57
now, creating SDR copal.
20:00
technology, something that our audience can relate
20:02
to, right? So basically these are, you
20:05
know, AI, AI co-pilots where it's like, okay,
20:07
I as an SDRI go out, I find 50 accounts
20:10
a month, I create sequences,
20:13
I execute them, I manage connect
20:15
calls, I set appointments, whatever. And
20:18
you know, a lot of that can be streamlined,
20:21
automated using AI. As
20:24
an entrepreneur in that use case,
20:27
can I use community-led growth? Absolutely.
20:30
At the end of the day, you just still
20:32
have to balance, right, the boundaries
20:34
of these technologies like anything else, whether
20:36
you're using community-led growth in that AI context,
20:39
or you're using, right, those AI tools just
20:41
to automate outreach or other sequences.
20:44
You need to still ensure that you have that
20:46
personalized touch, and you don't come
20:48
off as a robot and a machine because
20:50
it's very disingenuous. And I've used
20:52
some of these things and seen some of these messages
20:54
from Mike. I'm not really sure if the
20:56
person on the other end is going to look at this and
20:59
actually believe that I'm a human. Now, some of them
21:01
are good enough, and so I guess my long-winded
21:03
answer is to say yes, but you absolutely
21:05
need to be careful like you would with any other applied
21:08
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22:03
What new roles come
22:05
up in taking a community-led
22:07
growth first mentality? Because
22:10
if I draw an analogy to PLG, you
22:13
know, in B2B software,
22:16
the PLG movement created this growth
22:19
role.
22:19
It kind of like blurred the
22:22
boundaries between product and marketing
22:24
and brought them together. This
22:26
sort of growth role would own
22:28
this human-less funnel. They would run
22:30
experiments like crazy. They would
22:33
be data-driven.
22:34
These data scientists became popular.
22:37
They often had data analysts on the team.
22:40
They were product managers working with engineers,
22:42
working side-by-side with paid digital
22:44
designers and marketers.
22:47
What's the analog to that in
22:49
the community side? Do we have community managers
22:52
now? How does this
22:54
evolve the roles in the team?
22:57
In the open source world to developers
23:00
is developer advocates. You
23:02
can argue whether they belong in product,
23:04
whether they belong in marketing, they shouldn't
23:06
be in sales. They certainly can be under a CRO
23:09
org if you have enough of the wall set up. Their
23:12
job and their team's job is simply to go
23:14
out there and help the community. It
23:16
does drive sales professionals crazy
23:18
when they find out that Mark was at a conference
23:21
and spoke with Jane. Then Jane's in charge of
23:23
data engineering at JP Morgan or whatever
23:25
company. You didn't sell sales? What
23:27
are you doing, Mark? It's like, no,
23:30
no, no, that's actually the worst thing you could do. There's
23:33
definitely friction there, but it is necessary.
23:37
Revenue leaders in that space and incumbent
23:39
on us to give those teams the space
23:43
to breathe and to foster those relationships
23:45
because it is something that compounds
23:48
over time into material value for your
23:50
organization. It's not a one-hit
23:52
wonder. You've got to be comfortable with that. It's hard
23:54
and it takes time. That's the flywheel
23:57
that ultimately gets going there. You can choose
23:59
to invest in one. or 10 or 20 or 30
24:01
of those and how you scale that out, but it's
24:04
a developer advocacy. This is
24:06
intriguing, Andrew. I want to make
24:08
sure we have time to get to your latest role,
24:10
because there's a whole new set of go-to-market
24:13
challenges. So Appen,
24:15
Rockstar Company, your
24:17
CRL, very different
24:19
context that you're walking into. Pay
24:22
that for us and what's ahead for
24:24
you in this role? Yeah. So look,
24:26
we publicly trade a company in the Australian Stock
24:29
Exchange, our revenues, $330 million a year.
24:31
Appen is so exciting. And on one hand, it's the forefront
24:37
of where AI is being developed and
24:39
consumed. And on the other hand, it's a very mature
24:41
company that's been around for a while, helping
24:44
companies create the necessary
24:46
data to train their AI model. We've had
24:49
those tools forever that Appen
24:51
in a more services-led approach. And now we're combining
24:53
those to be much more product-led with services
24:56
that are enabled around that. That's really exciting, given
24:58
the rise of LLMs and all the conversation we
25:00
find ourselves in. So how
25:03
does a $300 million plus
25:05
services
25:07
consulting business run? And in
25:11
parallel, you are launching and
25:13
growing a product business within that. That
25:15
must create some operational
25:17
challenges and tension. That's
25:20
a very good question, Mark. Look, at the end
25:22
of the day, this is a set of tooling that
25:25
we've run 24,000 AI
25:27
projects over the last 15 years on
25:30
our own tooling. Some of our customers
25:32
use that tooling. And it's really just
25:34
to say, hey, look, we've done that
25:36
many projects with 50 plus million
25:38
man hours on these tools that
25:40
now we're just going to expose out
25:43
to folks to be able to use. Because what we're finding...
25:45
I don't know why
25:48
more entrepreneurs don't start
25:50
as a services business and then
25:52
turn into a product business. Yeah,
25:55
there are some issues. I think I do know
25:57
why. And
25:58
that is because...
26:00
Back in the day, we used to think that services
26:02
businesses were VC fundable
26:05
and they became a really Tarnished
26:08
business model, especially for venture
26:10
capitalists. They weren't as scalable And
26:12
so I think a lot of people have walked away from
26:15
pursuing a services business and
26:18
yet I think it's an amazing foundation
26:21
upon which to build a product business
26:24
You are essentially getting paid
26:27
by the market to do your market research
26:30
You are not sitting in an
26:32
insular room Hypothesizing
26:35
on where the demand is you are out there Solving
26:38
real problems for real customers
26:41
driving value and understand how
26:43
it works You are seeing the patterns from
26:45
client to client to client You are
26:48
in such a better position to
26:50
architect and get right from the beginning
26:52
your minimal viable product as you transition
26:55
Now
26:56
there are certainly challenges in that
26:58
as you make that transition But
27:01
I wish I saw more entrepreneurs start
27:04
in their pursuit of their problem They're solving with
27:06
a services orientation and
27:08
then use that to transition into
27:10
product. All right, let's get back to Andrew
27:14
It's like in the case of a large financial
27:16
institution If you're gonna create an LLM
27:19
in sort of wealth management and you're looking
27:22
at 401k rollovers The
27:24
experts on that data and their call
27:26
center transcripts and your internal acronyms
27:28
and how your software works are best held
27:31
internally and so you're going to need these
27:33
tools and these platforms for your internal
27:35
people to go create all of
27:37
those workflows and Collaborate with each
27:39
other and the tools today and the option that they
27:42
have our spreadsheets. They have wikis You
27:44
have Jira tickets you have SharePoint
27:46
portals Then there is no streamlined
27:48
way to help them mitigate their
27:50
risk of that data going to the wrong
27:52
people's hands or the wrong things Happening. There's
27:55
no tools in place to help them actually accelerate
27:57
their time to value in into production
28:00
with this massive backlog and
28:02
at the same time increase the effectiveness
28:04
and the efficiency in the collaboration across
28:06
a dozen plus personas that go involved
28:09
into creating a simple LLM product
28:11
into production. Because if you look at the lifecycle
28:13
of personas involved, it's a lot and
28:16
they need a platform to go work on and collaborate.
28:18
And we've been doing that for a long time. We just
28:20
have to reposition it so people understand that it's
28:22
a really exciting spot to be in. Yeah,
28:24
it's a path of entrepreneurship I wish was
28:27
attempted more frequently to
28:29
really understand the market through the services
28:32
and then productize it once you understand
28:34
where the needs are. But I
28:36
don't want to undermine the
28:38
go to market transitions that need to happen.
28:40
So let's just talk for a second. You're
28:43
mentioning the bank in this wealth management group.
28:46
What did you do? Are you just giving the existing
28:49
account executive this product
28:51
now and they're bringing it or is this
28:53
a different type of seller and motion
28:56
to make this happen? Very good
28:58
question, Mark. And again, to your point of entrepreneurship,
29:01
maybe it's just actually called a glutton for punishment.
29:04
I'm not sure. But these are fun and interesting
29:06
problems that I find myself working on. And
29:08
this AI journey is actually no different.
29:11
And the common thread here is a really technical
29:13
sell, a real technical engagement,
29:15
having to hire, you know,
29:17
the professionals that interface with these
29:20
personas as peers. So instead of
29:22
a traditional sales engineer, you know,
29:24
I'm hiring data scientists and machine learning
29:26
engineers that go and partner very deeply
29:28
with these customers, run the onsite
29:30
workshops, whiteboard their problems
29:32
with them, help them understand the data that's
29:35
necessary here, and help to build those
29:37
prototypes with them so they can understand
29:39
in working code in the platform, how
29:41
this would work, which allows us to create
29:43
the business case, and the opportunity
29:45
for them to see the light and how this can have
29:48
a dramatic impact across your organization.
29:51
Yeah, we're swinging back
29:53
to these very technical
29:56
roles.
29:57
Yeah, a lot of us live in B2B SAS and
29:59
And there's
30:01
kind of been a progression from
30:03
like 25 years ago of like, hey,
30:06
can the technology even do this? And
30:08
we did have technical people sit inside by side
30:11
to go head to head with the CTO to suddenly
30:14
like, yeah, we pretty
30:16
much know how this tech is going to work.
30:19
It's well understood. It's relatively commoditized.
30:21
And it's more about the go to market.
30:24
It's more about the brand. And it's more about the category
30:26
creation that's
30:27
going to drive the success of the business.
30:30
Like I haven't sat around and be like, oh,
30:33
is that SAS business even technically
30:36
feasible? That hasn't come up for me in like a decade.
30:40
Here comes AI. And here comes those
30:42
challenges again.
30:43
Is this even technically feasible?
30:46
How does this work? What kind
30:48
of security implications does this have?
30:51
I don't know how to adopt this stuff. So
30:53
here comes the technical sales support
30:55
staff back. And a lot of us
30:57
haven't had experience
30:59
in that in a while. Just a heads
31:01
up.
31:02
This is not unique to Appen. This
31:04
is not unique to DevOps. If 90%
31:08
of B2B software sales is going to be
31:10
AI
31:11
in the next five or 10 years, this
31:13
is coming, especially in the early phases.
31:16
So pay attention to Andrew's guidance here
31:19
and think about it if you're going in that
31:21
direction with your product. All right,
31:23
let's get back to Andrew. And
31:26
so it's really just pattern matching from my last 12 years
31:29
in different areas of this space. And
31:31
arguably, this is the largest one of them all inside
31:33
of AI and really excited about it. Okay,
31:36
that's fair. Now be a coach
31:38
that as someone who has experience in there. So
31:41
I'm sitting here as CRO of
31:43
a pretty big team. And I want
31:46
to benefit from SDR co-pilot
31:48
technology. But my legal team
31:50
is saying, no, we're not ready. We need
31:52
another six months to get our act together.
31:55
And on the other side, there's this startup
31:57
seller who's like,
31:58
hey, we just raised money if I can.
31:59
huge valuation. We need some pilots
32:02
going on here.
32:03
And the CRO is like, I love this. I
32:05
want this.
32:06
But my legal team has given me
32:08
the Heisman for
32:10
six months.
32:11
What is your recommendation as a sales leader,
32:14
as a sales coach to get through that? The
32:17
thing that we did successfully in some of my
32:19
earlier journeys we spoke about, right, was
32:21
we just ran these small pilots and then engaged these
32:23
teams earlier. Again, it's counterintuitive,
32:26
but the sooner you get security involved or risk or
32:28
legal into these engagements, the
32:30
better. And at least you understand where your objections
32:32
are a lot sooner. It's not a fun saying.
32:35
If I'm going to lose a deal, I'd certainly rather lose it in 30 days
32:37
and 90 days or the last day of the quarter when I had it
32:39
forecasted. But again, blockers
32:42
still exist. This is new. There
32:44
are no standards and your mileage will vary
32:46
depending on person to person and company to
32:48
company. But that's sales 101, right? I
32:50
was so excited, Andrew, when I
32:52
heard sales leader, Caliber,
32:55
like yourself was jumping
32:57
into Appen to help them with this exciting
33:00
transformation and to help
33:03
lay the groundwork for this AI
33:05
revolution that's coming. So I'm going
33:08
to watch your story closely. I'm
33:10
sure it's going to be a fun one. And I
33:12
really appreciate you joining us today to drop
33:14
knowledge. Thanks, Mark. It was a pleasure.
33:17
I appreciate it. Thank you.
33:23
Today's
33:25
episode is written and produced by Matthew
33:27
Brown. Our show is edited by Pizza
33:30
Shark Productions. Big thanks to
33:32
HubSpot for startups and to the HubSpot
33:34
Podcast Network for keeping the audio on.
33:36
Hey, also we're a new show. So
33:38
if you like what you hear or if you hate what you hear,
33:41
leave us a rating and review over on your favorite
33:43
podcast site. I love the feedback. Also
33:46
check out stage two capital. We're the first
33:48
VC firm running back by
33:50
over 500 CROs, CMOs,
33:52
CCOs.
33:53
So if you're an entrepreneur looking to scale your
33:55
business, check out stage two.capital. All
33:58
right, that's it for today. I'm Mark Rabea. to
34:00
see you next week.
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