WEBVTT
1
00:00:00.160 --> 00:00:04.900
Welcome to the Foundation Series, where we explore startup compensation with top minds in the industry.
2
00:00:05.300 --> 00:00:15.540
You'll hear from heads of people, from founders and VCs on how to drive results through startup compensation strategies and practices. Let's dive into today's episode. So Paul, welcome.
3
00:00:15.880 --> 00:00:25.350
Great to have you here on the Foundation Series. I really appreciate your time, uh, joining me today to, to talk about pay transparency. Uh, [chuckles] what... How to introduce you?
4
00:00:25.760 --> 00:00:37.760
Octopus Deploy has been a company that has been renowned, certainly within Australia, I think not just because you have a really novel name as a company, but also because you've been, like, a standout success within the, the, the technology space as well.
5
00:00:37.900 --> 00:00:42.140
Um, but excited to, to speak to you today on the topic of pay transparency.
6
00:00:42.720 --> 00:00:58.340
Um, I'm gonna obviously get you to introduce yourself and, and Octopus and, and the things you've done in pay in a second, but I've, I've always been really impressed with how forward-leaning I think you've been as a company in, in a lot of different aspects when it comes to your people practices, not just p- uh, pay transparency.
7
00:00:58.440 --> 00:01:10.100
Um, and so yeah, really excited to have you on the, on the series today. So welcome and, um, I'd love to have you introduce yourself, share a bit about, about Octopus and about your role as a founder. Uh, thank you.
8
00:01:10.160 --> 00:01:16.820
That, that's a very kind introduction too. So, so thank you, and thanks for having me. Um, yeah, and hopefully this is, uh, useful for, for people who find it interesting.
9
00:01:17.660 --> 00:01:28.460
Um, yeah, so look, I'm, I'm the founder and CEO of Octopus. I started it, uh, about twelve years ago, um, as a sort of nights and weekends hobby project and then eventually grew it into a business.
10
00:01:28.560 --> 00:01:35.280
And, um, you know, at the moment we are... we've just crossed three hundred employees. Um, they're globally distributed around the world.
11
00:01:35.580 --> 00:01:47.040
Um, most of R&D is in Australia, New Zealand, and now Israel, um, and a little bit in Ukraine. Uh, and then we've got sales and marketing support geographically distributed, uh, everywhere.
12
00:01:47.120 --> 00:01:51.770
And, um, yeah, we just crossed a hundred million in revenue too, which was another pretty cool milestone. Nice.
13
00:01:51.820 --> 00:02:03.440
So, um, and look, we help companies with deployment automation, so all things CI/CD for, uh, for your engineering teams out there. And tell me, what's it been like being the, uh, the founder of a company like this?
14
00:02:03.450 --> 00:02:15.460
[chuckles] So Octopus started when I was twenty-five, and I think I'm approaching sixty now, so you know, uh, [laughs] In startup years. Yeah, in startup years, exactly. Um, you know, it's different to what I expected.
15
00:02:15.540 --> 00:02:22.440
So I'm a software developer by background, right? That's, that's how I, uh, got into this space and sort of fell in love with software creation.
16
00:02:22.580 --> 00:02:29.440
Um, and so the thing I thought I would enjoy is, you know, writing code and, and, um, and, and maybe building an engineering team.
17
00:02:30.020 --> 00:02:37.320
Actually, I think the thing I've enjoyed over the twelve years has been, like, there's always something that your organization can do just a bit better, right?
18
00:02:37.420 --> 00:02:43.240
Like, we're really good at this, this, and this, but we're just not very good at this thing yet. But we're gonna get really good at that thing soon.
19
00:02:43.260 --> 00:02:53.200
And so almost every year is a case of picking, like, what are the two or three things that we're not particularly good at that we need to get good at, and then, um, focusing down on building that capability.
20
00:02:53.260 --> 00:03:02.580
And within that, I, I learn a lot about myself, I learn a lot about other people. Um, and so that has made it a, a really enjoyable journey and has kept me engaged for many years now.
21
00:03:02.620 --> 00:03:08.680
So I think Octopus was first came onto my radar at a, a small developers conference here in Brisbane.
22
00:03:08.760 --> 00:03:17.520
I can't remember the name of it, but I remember seeing Mike, who heads up the engineering team there, who was talking about essentially like you had kinda open sourced your career framework.
23
00:03:17.560 --> 00:03:30.400
And I remember at the time being really impressed that, A, you even had a career framework, but B, that you had kinda been so thoughtful about it and then taken the steps towards, um, consulting that and making it available for anyone who, who comes across your website.
24
00:03:30.860 --> 00:03:37.420
That would've been six or seven years ago. Fast-forward now and, and that same philosophy, I think, has spread to a lot of different parts of your business.
25
00:03:37.540 --> 00:03:49.760
Most kind of, uh, relevant to this conversation is pay transparency. Tell me a bit about the, the, the philosophy about the sentiment that you have around pay as a, as a founder and, and as part of your business. Yeah.
26
00:03:49.860 --> 00:03:54.890
Um, that's a very good question. I guess we started probably like every other company in, in the early days.
27
00:03:54.910 --> 00:04:02.820
We were hiring the first couple of employees, and they were both software engineers, and so we posted a job ad for software engineers. Um, we put a salary number on it.
28
00:04:02.860 --> 00:04:08.829
We always felt it was really important that as the company, we're the ones naming the number and not asking people what they're currently on and things like that.
29
00:04:08.860 --> 00:04:13.840
So we hired the first couple of software engineers, and we paid them the same 'cause they joined at the same time to do, you know, roughly the same role.
30
00:04:14.380 --> 00:04:24.420
Then over time, as you do, you hire other people, and they're doing slightly different roles, so you pay them slightly differently and you're thoughtful about it, but there's not a systematic approach to it sort of thing 'cause it's only, it's only a few people.
31
00:04:25.240 --> 00:04:32.300
And then, of course, you end up hiring someone who's more experienced, and so you call them a senior software engineer. But now you have to sort of figure out what's the difference.
32
00:04:32.590 --> 00:04:39.720
I, I sort of know this person's gonna bring more value, but what is the value that they're gonna bring, and how do we sort of quantify that in a way that, you know, feels fair?
33
00:04:39.760 --> 00:04:47.000
And so in the early days, I think we put a bunch of emphasis on having a defined career framework that people could really connect with.
34
00:04:47.060 --> 00:04:57.780
And, and this was definitely Mike's doing in, in the early days of growing our engineering org because it was always the biggest organization at Octopus, where we wanted to have five different levels of what a software engineer is.
35
00:04:57.820 --> 00:05:04.940
So from junior, intermediate, senior, lead, principal, that sort of thing. Um, and we wanted very clear criteria for all of those things.
36
00:05:04.969 --> 00:05:12.300
And so what we wanted to be able to do when we sit down with someone and say, "Look, we think you're, you know, ready to be promoted to a senior engineer," or, "We think you're not ready to be promoted t-to senior engineer.
37
00:05:12.469 --> 00:05:19.900
Here's how we think about that. And, and if we share that in advance, then you can think about it too, and you can kind of make sure that you're, you know, working towards these things."
38
00:05:19.920 --> 00:05:24.360
And so it's really constructive way to have conversations around performance with people.
39
00:05:24.370 --> 00:05:31.020
And, and then when we introduced that, that was also the time we started thinking, "Well, you know, if we've got two people doing the same thing, we should be paying them broadly the same."
40
00:05:31.060 --> 00:05:40.740
So I think back then, going back eight or nine years, we probably had salary bands within those roles that were applicable. And I'd say that's probably where most companies are and, and probably where they stopped.
41
00:05:40.800 --> 00:05:47.390
As the company kind of evolved over time, we, we really leaned into having a very systematic approach to how we thought about compensation.
42
00:05:47.440 --> 00:06:01.280
And the way that I guess we always thought about it was if we were to accidentally print all of the salaries that everybody was being paid and leave it on the printer or forget to collect it from the printer, um, you know, and someone was to pick that up and share it with the whole company, would we feel embarrassed?
43
00:06:01.360 --> 00:06:06.940
Would we feel ashamed? Like, would we feel like we're doing something wrong? Now that-that's different to, like, does everyone else agree?
44
00:06:07.100 --> 00:06:16.100
They might, they might think it's really unfair this person gets paid this and I get paid that. But it was very important to us that we felt like we, we could justify our decisions, and we could stand behind them, right?
45
00:06:16.180 --> 00:06:21.872
And that, like, that's just part of being an, an ethical person.And so that was kind of always part of the system.
46
00:06:21.892 --> 00:06:33.132
And then over time, though, what we, what we then introduced was a little bit more of a matrix model where we said, "Okay, within those five bands, let's have different maturity ratings for those things, and we're gonna have three maturity ratings."
47
00:06:33.172 --> 00:06:42.692
And so we introduced, uh, performing, exceeding, and, uh, maturing. Then if you imagine the table now is five rows, and this is just for one career pathway for software engineer, right?
48
00:06:42.772 --> 00:06:47.942
So we've got junior through to principal, and then we've got three columns, maturing, performing, exceeding.
49
00:06:48.292 --> 00:06:55.632
If we were to say this is what we expect of a senior software engineer, someone who's maturing is probably meeting like seventy percent of those dot points.
50
00:06:55.952 --> 00:07:03.232
Someone who's performing should be meeting like ninety percent of them, and someone who's exceeding is probably doing all of them plus some of the things that would be expected from the next level up.
51
00:07:04.052 --> 00:07:12.252
So that's a, a way you kinda break down th-that matrix. And then what we said was, in every one of those cells in that matrix, there's not going to be a range.
52
00:07:12.632 --> 00:07:18.712
It is gonna be a single number, and that's what we're going to pay for people in that role, and they're going to know where they are within that matrix.
53
00:07:19.152 --> 00:07:29.112
And again, this is probably seven years or so ago, we started to do that. And then of course, we went and rationalized everybody 'cause over the years we'd hired a whole bunch of people for different rhymes and reasons.
54
00:07:29.142 --> 00:07:36.862
They had different salaries, and so we sort of normalized it into this thing. Over the years, things caught up. We got to a point where everybody was sort of fitting within, within that matrix.
55
00:07:37.512 --> 00:07:44.292
The thing that we did more recently, which I think touches on the transparency aspect you asked about, is we started sharing that-- those tables internally.
56
00:07:44.452 --> 00:07:54.892
So within the company, you can go and look up, uh, for marketing, the marketing career pathway, what are the five levels? What's expected of them? What is the difference between maturing, performing, exceeding?
57
00:07:55.372 --> 00:08:05.052
And what are we paying people to do those roles? And so you can see yourself on that matrix, and you can look at your salary, and you can say, "I'm being paid thing that the matrix says I'm supposed to be paid."
58
00:08:05.322 --> 00:08:13.012
And, and that goes a really long way, right? I think the thing people get wrong about compensation is it's not the dollar value. The dollar value actually for most people doesn't mean a whole lot.
59
00:08:13.052 --> 00:08:22.042
Like, it has a, it has an important meaning to their family and how they provide for them and so on, but, but, you know, by and large, people don't get emotional over that number, and it's not really very healthy to get emotional over that number.
60
00:08:22.452 --> 00:08:32.982
What they do get emotional about, and quite rightly so, is when it feels like it's not fair, when it feels like there is someone else doing the same thing as me but being paid more and actually and less too, right?
61
00:08:33.292 --> 00:08:40.632
Most people don't really wanna be the person who's being paid more to do the same role as everyone else either, right? 'Cause they work in teams, and being a good teammate is important.
62
00:08:40.892 --> 00:08:46.832
So that was sort of our evolution over time. Interesting story. I completely agree.
63
00:08:46.872 --> 00:08:59.302
I think so often it's, it's less about the number, and it's more about how it relates to peers or other roles outside the company that you could reasonably expect to, to be successful in and, and am I being paid commensurate maybe with the market, things like that.
64
00:08:59.332 --> 00:09:08.592
So completely relate with that experience. You... Talking about the catalyst, I mean, I think the, the question a lot of people may wanna ask is why. You've talked about there was the printer scenario.
65
00:09:08.752 --> 00:09:16.452
If someone were to walk past and pick up that piece of paper, I think that's, that's a reason for having a solid foundation and, and logic behind your salaries.
66
00:09:16.652 --> 00:09:24.432
What was the main driver for then going, "Actually, let's just make them available. Let's just give them to people, and, and even if they walk past the printer, they've seen the numbers before"? Yeah. Yeah.
67
00:09:25.052 --> 00:09:32.432
So I'd say part of it was just part of growing as a company. Like, as you add more people, things just become a little bit more complicated.
68
00:09:32.472 --> 00:09:44.732
And so as an example, when you have a system where people are just on different ranges, A, it becomes really hard even internally for people to justify why is this person being paid four thousand dollars more than that person.
69
00:09:44.812 --> 00:09:48.412
They seem to do roughly the same role. We seem to have the same level of expectations from them.
70
00:09:48.492 --> 00:09:55.912
So, so I don't think ranges kind of ever make sense, and I think they're a pretty hard thing to defend from, like, is it keeping me up at night as a CEO?
71
00:09:56.052 --> 00:10:02.832
But then you have this systematic approach that, that we took, and that allows you as a management team, and it wasn't just a couple of us.
72
00:10:02.912 --> 00:10:14.092
As we grew, most of the sort of mid-level managers, for example, saw those spreadsheets, and if you were like an engineering director, you would see all of the engineers, and you could see, yep, this is what they're being paid, and this is where they fit within that matrix.
73
00:10:14.152 --> 00:10:21.732
And the spreadsheet says it should be this. So that's good because then you've got a whole bunch of people who understand the philosophy and can explain it and defend it to people who haven't seen it.
74
00:10:22.312 --> 00:10:39.592
But it does, I guess, ask for a whole lot of trust from the average employee, let's say, who's sort of like, "Well, I've heard Octopus has this systematic approach to doing it, and if I'm being paid my salary, and I know Octopus has a systematic approach to doing it, I suppose I'll just trust that the company is following that systematic approach."
75
00:10:40.292 --> 00:10:44.492
But there's no way to verify that, right? There's no way that, that, that they can check it.
76
00:10:44.861 --> 00:10:56.212
And actually, I think one of the catalysts was over time we would do our own little audits on it, and we would go, and we would say, "Okay, for all the people that we've got, are they actually being paid according to what the system says they should be paid, you know, for their, their level and band?"
77
00:10:56.712 --> 00:11:09.142
And we, we screwed it up a couple of times, and the reason we screwed it up was someone got promoted, but at the time we had a hiring freeze or something, and we were meant to pick it up three months later, or they're in, they're in probation 'cause they'd only just joined, and so they missed out on one round of things.
78
00:11:09.712 --> 00:11:13.052
All kind of, I guess, understandable reasons, but not good reasons.
79
00:11:13.112 --> 00:11:22.892
And so as we would find those things, we'd go and fix it, um, but one of the things we realized is sharing the actual tables with people is super meaningful because what it gave people was firstly a sense of confidence.
80
00:11:22.932 --> 00:11:32.252
Like, okay, this is actually what the thing looks like. It's real, and it's concrete. I can see myself on it, and I can see if it's wrong, right? And so I can tell you if something's not wrong, and so that's good, right?
81
00:11:32.292 --> 00:11:36.772
It sort of puts power back in people's hands to be able to help us make sure the system is working as it's intended.
82
00:11:36.912 --> 00:11:40.912
And it also gives them a, a framework to think about the next few years 'cause they can look at that and can say, "You know what?
83
00:11:40.992 --> 00:11:48.082
Realistically, if I'm a senior engineer and I wanna become a principal engineer because that's the number I wanna get paid, can I meet that criteria in the next couple of years?
84
00:11:48.172 --> 00:11:54.612
Can I grow with the company, or do I need to look at changing career pathways or, you know, go somewhere else?" And so that was a really powerful thing as well.
85
00:11:55.112 --> 00:12:00.392
But the other thing we were quite transparent about is here's the benchmarks we're using to come up with these numbers, and here's how we come up with them.
86
00:12:00.582 --> 00:12:05.792
And so people can go and check the benchmark data themselves and, and sort of feel like, yep. Oh, okay. Wow. We have a philosophy.
87
00:12:06.012 --> 00:12:15.572
The way we think about it is if you imagine those three columns, maturing, performing, exceeding, maturing should be like the fiftieth percentile of the benchmarks we can find for that particular role.
88
00:12:15.612 --> 00:12:25.136
Performing should be like the seventy-fifth to... and exceeding should be in the ninetieth percentile.Now that's hard to do because in reality, when you pull these benchmarks, they're kind of all over the place, right?
89
00:12:25.196 --> 00:12:32.436
There's some juniors at the ninetieth percentile who get paid more than seniors at the fiftieth percentile, and you need to create a table that's only going upwards, right, as people progress through their careers.
90
00:12:32.456 --> 00:12:39.926
So you have to normalize and flatten things, and there's a lot of art that goes into it. But people being able to go and see those benchmarks themselves and kinda say, "Right.
91
00:12:39.996 --> 00:12:47.696
Octopus says we pay the seventy-fifth percentile," and, "Yep. Oh, that works. I can see it, and that's what I'm getting paid." Yeah. Wow. They feel a lot of confidence in the system. Yeah.
92
00:12:47.716 --> 00:12:50.576
So you-- I guess you're kinda letting people check your homework in a way.
93
00:12:50.656 --> 00:13:00.486
Like, it's, it's a, it's a sense of here's, here's the set of numbers that we will share with you as, as part of our pay transparency, but here's the actual numbers that underlie those figures and what we've- Yep.
94
00:13:00.726 --> 00:13:10.136
-how we've kind of handled them to land where we've landed. Yeah. And, like, I-- for some reason, companies are, like, really defensive about this. But if you imagine, like, what is the point?
95
00:13:10.156 --> 00:13:12.936
Like, what is the company trying to optimize for here?
96
00:13:13.676 --> 00:13:24.336
What we're trying to optimize for is we want to hire the maximum number of really smart, talented people, you know, that we can afford to do the work that, that we need to do, and we wanna retain those people.
97
00:13:24.346 --> 00:13:27.656
And so we have to pay them competitively or we won't be able to hire them.
98
00:13:27.686 --> 00:13:36.616
And we have to do that consistently or, you know, we can't just hire the new people at a higher rate because then the old people will know they can earn more elsewhere and so leave, right? So that's a silly idea.
99
00:13:36.696 --> 00:13:43.416
So you have to pay them all the same for the same work, and you wanna pay them competitive enough that they're not really thinking too much about salary, right?
100
00:13:43.456 --> 00:13:52.916
And we sort of aim for, like, again, that seventy-fifth, eighty-fifth percentile. Yes, you could possibly get paid three thousand dollars, five thousand dollars more if you go to another company somewhere else.
101
00:13:52.956 --> 00:13:59.946
Chances are you probably actually get paid less. That's what we're aiming for. Those jobs are out there though. But that's not the only reason we want you to be here. Yeah.
102
00:13:59.956 --> 00:14:08.636
But we want you to be compensated well enough you're not thinking... And it's important, right? Because then that also allows us to then maximize how many people we have, which also takes pressure off people, right?
103
00:14:08.696 --> 00:14:15.496
I'm not the only support rep answering tickets in this time zone 'cause Octopus can afford two people because we're not paying the hundredth percentile, we're paying the seventy-fifth percentile.
104
00:14:15.506 --> 00:14:20.706
And so that's the sort of thing the company's optimizing for. If our benchmarks are wrong, we wanna know, right?
105
00:14:20.736 --> 00:14:30.756
Like, I mean, it's ridiculous that if we have a software engineer who's been here for four years, they've built some amazing stuff, and they're leaving because they can make ten thousand dollars more elsewhere, we should have known that.
106
00:14:30.775 --> 00:14:39.866
We should have had our pulse on the market. We're active. We're hiring in the market. We should have a sense of what's going on with that market, and we should be making sure our pay is, you know, competitive to that.
107
00:14:39.916 --> 00:14:47.536
And when it's not, we're not just up-upping it for new people we're hiring, we're going back and we're fixing it for everybody else that's here as well, so they feel confident that the system's working.
108
00:14:47.576 --> 00:14:54.836
And so if people find better benchmarks, you know, we encourage them, like, share it with us. If you get an offer from someone else, you know, share it with us, 'cause that's what we're optimizing for.
109
00:14:55.156 --> 00:15:04.986
You know, we're not emotional about how much a software engineer costs, [chuckles] right? That's what the market says it costs. So we're just trying to keep as many of them as we can. Yeah. So why hide it?
110
00:15:05.336 --> 00:15:08.696
It's, it's really insightful. You touched on two things earlier that I'm keen to dive into.
111
00:15:08.756 --> 00:15:17.316
One of them is around what it's meant for people in terms of their own career mobility, so being able to identify a path that they may wanna pursue and factoring in the salary as part of that decision.
112
00:15:17.356 --> 00:15:25.216
Maybe they do wanna buy a house, maybe they wanna start a family, whatever that might be. The other is the, the trust side and the fact that you're going, "Hey, here's what we pay.
113
00:15:25.336 --> 00:15:32.176
We do pay consistently," and I wanna touch on pay points versus pay bands in a second as well. But what's it done from a, a trust perspective?
114
00:15:32.236 --> 00:15:37.996
And I think, you know, those dialing in here are probably gonna be very interested from an engagement perspective on what it means for them environment.
115
00:15:38.076 --> 00:15:46.976
I think we're in a, an interesting space as an industry where I would say, and certainly a lot of research shows that trust is, is diminishing between employees and employers at the moment.
116
00:15:47.076 --> 00:15:59.476
How have you seen this counter that trend? Yeah. I think sometimes, like, the worst place to be as an employer is, like, actually be doing everything right, but for people to have the perception that you're not, right.
117
00:15:59.556 --> 00:16:07.595
For people to have the perception... 'Cause then it is sort of like at least if you're doing everything wrong, you'd be getting away with it, right? Like, at least there'd be some, some upside to it.
118
00:16:07.636 --> 00:16:15.676
But if you're actually in fact kinda doing everything as well as you possibly can and people don't know about it, that's, that's kind of a worse outcome in some ways. Yeah.
119
00:16:15.716 --> 00:16:20.996
You're not cashing in on the trust credits, are you? Right. E-exactly. And so trust is, like, hugely important, right?
120
00:16:21.076 --> 00:16:29.306
Like, I mean, the employer-employee relationship, obviously, like we hold the power to some, to some degree there, right? So, you know, we have to kinda be very responsible with that.
121
00:16:29.316 --> 00:16:39.416
And so by sharing those tables, it does give people a very high level of trust because they can see where they're at. They also know that, you know, their peers are going to be there.
122
00:16:39.456 --> 00:16:47.496
Now, like, I think when people think about pay transparency, what they think, we're gonna create a spreadsheet, and we're gonna put everybody's actual salary into that spreadsheet, so you know exactly what, you know, Sarah's getting paid.
123
00:16:48.056 --> 00:16:51.456
But in practice, you don't, you don't have to do that. That's not required.
124
00:16:51.516 --> 00:16:59.876
If the goal is for people to feel like you have a fair and just systematic approach to compensation that's market competitive, you don't actually need to go that far.
125
00:17:00.376 --> 00:17:03.416
But what you can say is, you know, "Here's, here's the system.
126
00:17:03.496 --> 00:17:09.476
You can go and check your salary on it, um, and we're doing our own internal audits, but everyone else can call it out, you know, if we've made a mistake here or there."
127
00:17:09.676 --> 00:17:13.096
And that can give people a whole lot of confidence in it. Now, it's not, it's not always perfect.
128
00:17:13.136 --> 00:17:19.956
And I would say, like, even within Octopus today, we probably have a handful of cases of people who aren't being paid according to what's in that matrix.
129
00:17:20.096 --> 00:17:25.616
They're not being paid less than the thing they should be getting paid, but sometimes they're getting paid a bit more. And the reasons for those are purely historic, right?
130
00:17:25.716 --> 00:17:32.036
Like, every case is a bit different, but they're self-correcting. And so I think that's like the ideal spot to go, I guess, as far as, as transparency goes.
131
00:17:32.066 --> 00:17:40.216
And I think internally, actually, we share with people they know which of the rows, you know, as far as, like, they know they're a senior software engineer, right?
132
00:17:40.256 --> 00:17:49.256
They know they're a level three, and they know their peers are as well. They know for themselves whether they're maturing, performing, exceeding. They don't know if their peers are maturing, performing, exceeding.
133
00:17:49.396 --> 00:17:57.856
Part of that is really awkward, right? You know, Fred's maturing. Yeah, what does that mean? So the person knows and the managers know, but it's not broadly known outside of the organization.
134
00:17:57.906 --> 00:18:04.456
And so you don't actually know what Sarah or Fred are getting paid because it is going to be somewhere in those three numbers within that row.
135
00:18:05.076 --> 00:18:09.936
And that, that does give people some privacy, I guess, as far as what their income is. Yeah. Yeah. And that makes sense, right?
136
00:18:09.976 --> 00:18:18.056
That's a, a relatively personal thing in the sense of you're on a, a personal performance trajectory. It makes sense that that's something that's kept between the, the leader and the individual.
137
00:18:18.136 --> 00:18:26.336
Um, what's it done for those conversations, though? Like, as a manager, I'm imagining that that has just made these conversations infinitely easier.
138
00:18:26.396 --> 00:18:35.736
If you think about, you know, and you've worked in, in other companies before- Yeah. -where you maybe haven't had the level of pay transparency or even the level of definition around pay practices or pay philosophy.
139
00:18:36.196 --> 00:18:45.928
What's it done for you if you contrast the experience here with the, the, the experience there in terms of those conversations and the ease with which your managers and people are having them?Yeah, I mean, there are some downsides.
140
00:18:45.988 --> 00:18:50.548
We can talk about, I guess, some of the challenges that do come with it, but I'd-- but it is very much mostly upsides, I would say.
141
00:18:50.948 --> 00:18:59.428
If I go back to before Octopus, I worked for a consulting company for a while, and, you know, within that company, uh, I don't think they really had that systematic of an approach to compensation.
142
00:18:59.558 --> 00:19:08.908
And generally, you know, and you find this in every role, you know, there are people who feel confident asking for a higher salary every year, every six months, and there are, there are people who don't.
143
00:19:08.948 --> 00:19:19.928
There are people who just sort of silently get on with the work and sort of assume that they'll be rewarded over time, and that, that was me, and that strategy worked well for me over time, but it doesn't, doesn't work for everybody, and certainly it's easy to create systems where people are overlooked.
144
00:19:20.348 --> 00:19:25.408
And then even when it does, when you say, "Hey, I, I think I should be getting paid more for this role. I've matured a lot in the last few years."
145
00:19:25.428 --> 00:19:30.228
They kinda just throw a number at you and like, "Is that enough to kinda get you to go away?" And actually that, that doesn't really satisfy me.
146
00:19:30.388 --> 00:19:38.998
You can actually give me a lower number if you help me understand how you got to it and it feels fair. Like that's... And so, and if I contrast that to like I think the manager experience at Octopus, right?
147
00:19:39.068 --> 00:19:48.227
So someone comes and says, "Hey, manager, I've, I've been here for a couple of years now. I think I should be getting paid more." Well, you can deconstruct that question. You can say, "Why do you think that?
148
00:19:48.348 --> 00:19:57.808
Do you think because the market for your role has changed in the wider market? Are you seeing job offers? Are you seeing friends doing the same role who are being paid more?"
149
00:19:57.848 --> 00:20:04.048
Because that's data that our people team would really like to know because they can factor it in when they do their benchmarking rounds next time, right? Yeah.
150
00:20:04.768 --> 00:20:12.368
So that's half of the reasons why you might think you deserve a, a pay rise, just because the market is booming for your role. And the other half is because, no, I'm doing different things, right?
151
00:20:12.698 --> 00:20:20.948
I was doing this, and now I'm doing that, and so I'm a senior, and I should be paid more. Well, we've got fairly well-written criteria for what's involved in those things. Let's go through them together.
152
00:20:20.988 --> 00:20:25.748
And you know what? Actually, I agree. Six months ago, I wouldn't have said yes on this dot point, you know, this dot... You know, now you can.
153
00:20:25.828 --> 00:20:34.128
So yep, let's go and make that case, and we do performance review cycles every six months to pick up, you know, those, those kind of things, 'cause it's really important that people aren't languishing for too long.
154
00:20:34.648 --> 00:20:42.268
So that's a really powerful thing for managers. It, it puts the benchmarking problem to the people team because they can spend the time doing that.
155
00:20:42.278 --> 00:20:51.988
And for a manager, generally my focus is on the people I've got and the expectations they have and the career pathways they want, and are they meeting it, and it's those two things combined that's producing the number they're getting paid.
156
00:20:52.008 --> 00:21:00.288
It's, it's one less thing to worry about, right? So often managers are, are left scratching their heads around pay decisions and, and having to try to justify them to their people.
157
00:21:00.348 --> 00:21:08.508
This takes a lot of that out of it because they've got the context behind what a pay point constitutes because the language is there. But then also it's just a point and it's not a band.
158
00:21:08.518 --> 00:21:18.488
And so now suddenly it's, it's very linear in that sense. Yep. Yep. And it also gives everyone a sense that it's happening fairly as well, which I think is actually the most important thing in this whole space.
159
00:21:19.348 --> 00:21:28.128
Now, the, the managers do have to be prepared for other questions, though. So for example, because we share the salary tables for all of the roles within Octopus, right?
160
00:21:28.138 --> 00:21:34.548
And so you can go and see, uh, what does the job band for IT look like? What does the job band for marketing look like? They're all different numbers.
161
00:21:35.228 --> 00:21:42.757
And we can kinda maybe talk philosophically about, you know, why that should be the case or why it is the case, whether it should be or not, but, um, they're different.
162
00:21:42.788 --> 00:21:50.968
And so the manager actually has to be prepared to explain that. Do we pay designers differently to engineers? Do we pay product managers differently to engineers? Why do we do that?
163
00:21:51.068 --> 00:21:53.828
But they can also lean on the people team who can provide some of that explanation.
164
00:21:53.928 --> 00:22:04.648
So before we had this conversation, you shared with me the compensation philosophy, which I think was seventy, uh, seventy pages of a, of a slide deck, but again, it went into such nuance and intricate detail.
165
00:22:04.768 --> 00:22:13.648
Have you found that being able to go to that length has, has made those conversations easy because they can speak to, to, to the nuance there in the, in the background? Definitely.
166
00:22:13.708 --> 00:22:21.648
Because everyone in your organization has joined with different context, right? They're all different people. They all went to different schools. They all have different politics.
167
00:22:21.688 --> 00:22:27.768
They all have different lived experiences. They've worked at different companies. And so what you have is this melting pot of people with different experiences.
168
00:22:27.798 --> 00:22:36.868
And most, I guess, the way a lot of people and HR practices work, the sort of default way that a lot of companies do kind of stuff, and so people assume that's how it must work here as well.
169
00:22:36.948 --> 00:22:47.097
And this is an area that people do care a lot about. Particularly they care about the fairness, I would say, of it a lot. We, we've always operated under this philosophy of we're hiring really smart, talented people.
170
00:22:47.608 --> 00:22:56.438
And so you're hiring these smart people, you need to trust them, and not because they earn the trust. You should sort of default to offering a really high level of trust as they join and leaning in on that.
171
00:22:56.448 --> 00:23:03.868
And so part of trusting people is trusting that you can... That they are worthy of being given an explanation of why something is the way it...
172
00:23:03.887 --> 00:23:12.108
Like, I don't know if you have kids or not, but, like, the argument of, like, "Because I said so," it doesn't work on toddlers, right? It doesn't work on adults, certainly, and not in a workplace.
173
00:23:12.328 --> 00:23:22.738
So for us as a company, in every decision we've made, every controversial decision and, and even a lot of the basic decisions, we assume our people are worthy of us taking the time to explain to them.
174
00:23:22.748 --> 00:23:31.728
And it may not be the explanation they want to hear. It may be different. They may think we should do something different. But we assume that they're worthy of hearing that, and we lean in on that, and we overexplain.
175
00:23:31.748 --> 00:23:34.108
You know, here's, here's why for the people that care about it.
176
00:23:34.348 --> 00:23:41.248
And, and then what's powerful about that is if there is something we could be doing better, we get to have a conversation around that that's really well informed.
177
00:23:41.268 --> 00:23:48.898
The most frustrating thing is when you've got this gap between what the company thinks it should be doing and what the employees think it should be doing, and employees are angry at the company 'cause they...
178
00:23:49.188 --> 00:23:51.348
the company should be doing something different, but it's without context.
179
00:23:51.368 --> 00:23:57.168
They don't really understand the nuance of it, and that's because you haven't explained it to them, and you haven't assumed they can understand the explanation.
180
00:23:57.228 --> 00:24:06.248
So we really lean in on explain everything, and then if we're doing something wrong, let's have really constructive conversations around the reality of the thing we're doing, not, not the sort of thing that you perceive that we're doing.
181
00:24:06.428 --> 00:24:11.348
So that, that's where the transparency matters a lot too. So defaulting to trust. I really liked...
182
00:24:11.368 --> 00:24:20.888
And actually reading through the comp philosophy, what I loved about it is that throughout key sections, you actually just ask the question, "Does this make sense? Do you align with it? Do you have any questions?"
183
00:24:20.928 --> 00:24:30.208
And I think something that I often see in conversations around compensation is that a lot of companies and, and, and people within them presumably are trying to be all things to all people.
184
00:24:30.248 --> 00:24:40.258
As a company, you need to pick who it is that you want to employ and, and bring along on your journey and, and tailor and cater as much to that population. But sometimes it's gonna be to the exclusion of others.
185
00:24:40.288 --> 00:24:47.788
And presumably you've had people who have gone, "Actually, I don't agree with how you try and pay people here." And so maybe they will opt out, and that's okay sometimes.
186
00:24:48.028 --> 00:24:55.728
Have you, have you found that as part of the journey or, or maybe just an alignment? So I think there's parts of that deck that are possibly a bit controversial that, you know, talk to.
187
00:24:55.818 --> 00:25:02.788
And I thought we'd have some people who would... 'Cause... So I guess I kind of operate under this idea that don't owe you the explanation you want.
188
00:25:03.028 --> 00:25:13.608
I owe you-The explanation that I think is accurate and, and correct, and then you can feel about it how you wanna feel about it. And if your decision is then the company's not right for you, that's okay.
189
00:25:14.348 --> 00:25:20.928
You've done great things. You'll go on to do great things elsewhere. We'll go on to be a successful company. It's totally fine, right, if we have different points of view.
190
00:25:21.068 --> 00:25:23.848
What I'm not gonna do is assume that you're not go-- that you won't understand.
191
00:25:23.888 --> 00:25:30.188
If I was to really take the time to explain a point of view to you, I'm not gonna assume that you would be disingenuous enough not to try to listen, right?
192
00:25:30.248 --> 00:25:34.268
I'm gonna assume that you will, you will try to listen and see it from my side, and, and I will do the same in return.
193
00:25:34.398 --> 00:25:42.828
And I'll assume that you're smart enough to understand where my argument is coming from, and likewise, I'd hope you do the same. So that's a really important ground, I guess, for, for the company to, to agree on.
194
00:25:42.848 --> 00:25:54.268
And so, like for example, in the deck, we talk about this question of, okay, why do different roles get paid different amounts? Why do software engineers get paid more than marketers, right?
195
00:25:54.348 --> 00:26:01.408
Because, you know, we're not hiding that. It's, it's a clear thing within the, the tables as you'll go and look at them. And, and so, you know, where does that come from?
196
00:26:01.448 --> 00:26:05.828
And we, we lay out the, the sense that our job is to hire as many people as we can.
197
00:26:06.038 --> 00:26:12.488
In order to do that, we need to make job offers that they will accept, and so it has to clear a market price, and the market price for all roles is different.
198
00:26:12.968 --> 00:26:15.828
And we actually don't want to overpay people for a role, right?
199
00:26:15.968 --> 00:26:24.148
If the software engineers are paid more than the marketers, and we go and pay the marketers what we pay the software engineers, what it means is we just can't afford as many marketers as we could otherwise have.
200
00:26:24.448 --> 00:26:32.188
And the marketers we do have are the most overpaid marketers, and so they're never gonna leave, even if they totally hate the company. So there's all kinds of bad actually things to avoid in that.
201
00:26:32.808 --> 00:26:38.478
As a company, we actually don't care what we pay the marketers or the software engineers. It's just there's a market price that we're trying to clear. Yeah, it's a reality.
202
00:26:38.478 --> 00:26:47.188
It's just the reality that we're in, and it's the reality you're in. Now, y-you as a company, you could sort of say, "You know what? We are gonna pay the software engineers the same as, as the marketers."
203
00:26:47.308 --> 00:26:54.728
I don't think it makes a lot of sense to do that, but, but you could certainly decide to do that. And your employees may say, "You know what? That is the just and right thing to do."
204
00:26:54.868 --> 00:27:03.248
But I guess my view of it is, no, that's how the economy works. That's how the market works. Our job is to build amazing products for our company. We need the most smart and talented people as we can.
205
00:27:03.348 --> 00:27:09.768
And so we're just totally up front with that. Like, "Hey, that's how we think about it. And if that's a problem, there are other companies to work for. That's okay, right?
206
00:27:10.048 --> 00:27:13.988
But at least we've been honest with you," which a lot of companies aren't. Like we've, we've been totally honest of where it comes from.
207
00:27:14.408 --> 00:27:22.068
And it doesn't come from the cabal of CEOs that get together every six months and decide how much do we pay people or something, right? [chuckles] It doesn't work that way. You're not supposed to talk about that, Paul.
208
00:27:22.248 --> 00:27:30.058
No. I said the quiet part out loud. The first rule of the cabal. [laughs] But I mean, that would never work, right? Because the first person to just be like, "Oh, cool.
209
00:27:30.128 --> 00:27:36.348
I'll just pay everyone more than what the cabal agreed," would get all the good people. So [chuckles] it doesn't... It's a market. It's a market like anything else.
210
00:27:36.688 --> 00:27:42.748
And the other part, I suppose, is you have upfront conversations around, like, how does gender kind of play into that, right? And so- Mm.
211
00:27:42.768 --> 00:27:49.737
In the philosophy of the systematic approach that we have, it doesn't matter what your gender is, you're still gonna fall within some part of that matrix.
212
00:27:49.808 --> 00:27:59.248
So you're gonna be paid exactly the same as your peers no matter what their gender is. That's really important. There's other questions around gender you can look at too. You can look at performance review time.
213
00:27:59.628 --> 00:28:04.188
Who gets the promotions? Who gets put into maturing? Do people linger in maturing longer?
214
00:28:04.368 --> 00:28:11.048
If we look at the sort of outcomes of performance reviews from a low result to a high result, where do they tend to fall as far as gender goes?
215
00:28:11.448 --> 00:28:20.208
And if all of those things are sucking really well, then you know you've got a system that is fair and just, it is doing the right thing. But then there's a reality of like, we hire software engineers.
216
00:28:20.708 --> 00:28:31.088
The, the broader talent pool for software engineering isn't fifty/fifty male, female, right? Like it, it just isn't. It's a very long way from that. And so what's our obligation in that world?
217
00:28:31.208 --> 00:28:38.308
Is it to get to fifty/fifty engineers, you know, that are, that are male or female? No, that doesn't, that doesn't make sense, right?
218
00:28:38.568 --> 00:28:44.928
But but at the same time, if the broader talent pool is like twenty percent, then if we're five percent, we must be doing something wrong as well, so- Yeah, there's a problem there.
219
00:28:44.968 --> 00:28:48.228
So as a company, you know, we just lay out, this is the philosophy, this is how we think about it.
220
00:28:48.648 --> 00:28:55.388
If you think it's wrong, then tell us, but we get to have a constructive conversation and learn something from each other around how it can be improved.
221
00:28:55.478 --> 00:28:58.148
'Cause there's definitely parts of it we're thinking of tweaking and, and improving on.
222
00:28:58.348 --> 00:29:06.388
But they get to be concrete things about the real thing you're doing, not what people think you might be doing based on what their old company did. Yeah. Yeah. I, I agree.
223
00:29:06.448 --> 00:29:25.508
And I think I'm keen to wrap that up as well into the, the topic of pay points versus pay bands, because I think, you know, certainly again, my experience, the people that are prepared to negotiate, and it's just a, it's just an inherent part of our society, um, in a, in a lot of different places, is that when they get to the stage of offer, a lot of people feel prepared and, and, um, negotiation is just a, a step in the road.
224
00:29:26.108 --> 00:29:34.138
You've got pay points which presumably eliminates that entirely. How have you found that approach? Because another thing that I, I get from a lot of...
225
00:29:34.268 --> 00:29:39.268
whether it's founders or heads of people, is that they want flexibility in their pay structures.
226
00:29:39.688 --> 00:29:48.048
Now, you already aim to pay generously, so presumably when you're speaking to a lot of candidates, they're probably not seeing the same maybe caliber of offers in the market.
227
00:29:48.108 --> 00:29:56.958
But how have you navigated the, the elimination of negotiation, if you have? So again, it's a-- there's a way you deconstruct that, right? So someone...
228
00:29:57.068 --> 00:30:06.288
So you say, like, through the interview process, we've assessed that we think you're a senior software engineer. We don't think you're a lead. We think you're a senior. Within that, we think you're performing.
229
00:30:06.418 --> 00:30:12.968
Like, we're pretty confident if you join within the first six months, as you learn stuff, you'll be performing. We don't think you'll be meeting what we expect of exceeding.
230
00:30:13.408 --> 00:30:23.248
So this is where we've placed you, and this is the number, right? Um, by the way, like the number, we, we do vary it by country that you're in, so it's not quite like one number.
231
00:30:23.448 --> 00:30:28.588
You know, if you're in the United States, you'd get paid differently. But I said this is the number, and that's the number we, we give when we offer.
232
00:30:28.988 --> 00:30:34.918
Now let's say that number is a hundred and twenty-five thousand or something. And, and they say, "Look, I, you know, I wanna negotiate that up. I think it should be one thirty. I think it should be one forty."
233
00:30:34.918 --> 00:30:40.308
It's like, where is that coming from? Is it coming b-b-from actually you think you could be a lead?
234
00:30:40.928 --> 00:30:50.308
Is it coming from you agree with us that, you know, you're kind of more within this senior, this is the set of dot points, and this is where you fit, but you're just seeing offers out there that are better?
235
00:30:50.368 --> 00:30:57.808
We wanna know about that, right? And in fact, there was a year a few years ago where engineering salaries were just ratcheting up like crazy. It was...
236
00:30:57.848 --> 00:31:01.318
And so the, the people team at the time were making offer after offer.
237
00:31:01.508 --> 00:31:13.247
Usually, we're making offers and probably out of every five offers we make, three of them, four of them get accepted.Uh, and then suddenly we have six months where we're making six offers, and one of them is getting accepted, and the rest are all saying, "It's too low.
238
00:31:13.288 --> 00:31:21.868
It's ten grand off. It's twenty grand off," you know, other offers that I'm getting. Uh, you just sort of say, "What are you doing, guys? We've got benchmarking data. Benchmarking data is helpful.
239
00:31:21.908 --> 00:31:29.948
That's-- that helps us get to a number, but we are in the market. We are-- have-- we are hiring for these roles, and the market is telling you something. The market is telling you that the price of this role has gone up.
240
00:31:30.908 --> 00:31:39.168
Up it. [chuckles] Up the offers we're making to people, right? That's where the flexibility comes from. But be prepared. You can't just hire someone doing the same role and pay them more.
241
00:31:39.208 --> 00:31:45.408
You have to go and do it to everybody else." Yeah. I was gonna ask you about the knock-on effects. If you were to say, "Oh, we can't...
242
00:31:45.428 --> 00:31:50.088
We can only offer this extra salary to this person 'cause we're hiring them, but we can't afford to do it for everybody else."
243
00:31:50.628 --> 00:31:56.488
If you can't afford to pay them what the market says they're worth, you can't afford to replace them, right? It's gonna take way longer to replace them.
244
00:31:57.248 --> 00:32:05.478
Actually, in every role we have, engineering, sales, like there's such a long ramp time for people just getting productive within our company that it's a completely crazy way to think.
245
00:32:05.478 --> 00:32:10.528
Pay that difference over and over and over before they've even become effective in their roles, right? Yeah. Yes.
246
00:32:10.698 --> 00:32:20.508
And so even from a budgeting point of view, you might have a finance team that's like, "Oh, but the knock-on effect of meeting these higher than expected salaries is, is gonna be this." Well, tough.
247
00:32:20.998 --> 00:32:22.018
[chuckles] That's what the market's telling you.
248
00:32:22.288 --> 00:32:34.788
And in fact, if you have a compensation philosophy like we do, which is we are trying to pay at a certain percentile of the market, and the market is changing, it's not a philosophy if you only stick to it when it suits you, and you abandon it when it doesn't, right?
249
00:32:34.868 --> 00:32:41.808
That, that's just wrong. So you have to say- And it's damaging to trust, right? Like we talk about how much this, something like this can build trust. It completely undermines it. This can totally undermine it.
250
00:32:42.188 --> 00:32:46.928
It totally undermines it. And so whereas actually then when you go and do it and you say like, "Hey, uh, Fred, guess what?
251
00:32:46.988 --> 00:32:54.108
You just got a pay rise because we've been hiring software engineers lately, and they all seem to be getting paid more." Yeah. Like, how does Fred feel about the company? Like this is, this is incredible.
252
00:32:54.188 --> 00:33:02.908
You've just probably retained- Yeah. -Fred for a really long time, right? Because not 'cause of the money, but because the trust and now he knows, you know, that you're, you're looking after them. Yeah.
253
00:33:04.068 --> 00:33:10.368
And so how often do people have to advocate for themselves to do that? And whether they feel prepared to or not or confident to or not is a, is a whole another thing.
254
00:33:10.428 --> 00:33:17.507
So the fact that you've completely taken it off the table for them and just come to them and said, "Hey, here's what we're paying others that are doing a commensurate level role. Congrats.
255
00:33:17.548 --> 00:33:22.848
Here's, uh, an increase to reflect your value to the company." Just, yeah. Yep. It's a huge boon to those people.
256
00:33:23.348 --> 00:33:30.288
It's also like psychologically, I guess, you know, when, when people are negotiating salaries, partly it's because, like they have a low level of trust in companies.
257
00:33:30.328 --> 00:33:36.768
They think companies are just trying to pay them as- Yeah. -little as they can get away with, and so they feel like they have to advocate for themselves. It's the same zero sum, right? Yeah, exact-exactly.
258
00:33:36.848 --> 00:33:42.068
So why not, you know? If, if, if you're not gonna advocate for yourself, who's going to? That's a very valid, you know, line of thought.
259
00:33:42.328 --> 00:33:48.008
The other part is like sometimes people, you can tell, like they actually don't want to negotiate, but their partner or somebody is like pushing them to do it.
260
00:33:48.077 --> 00:33:56.618
And so there's like a, you know, they have to be seen to be negotiating for themselves. That can sometimes be like a, a bit of a role. But again, like showing them like, "Hey, you know, we are paying you this.
261
00:33:56.648 --> 00:34:04.748
This is the benchmark data that we've got that goes into it. It's a very, very fair offer. It's what we pay all the other people doing the same role." That can make you feel very comfortable even to think.
262
00:34:04.828 --> 00:34:09.368
It can convince your partner who has a stake in this. And if it doesn't, it doesn't. There's other people out there, you know.
263
00:34:09.428 --> 00:34:15.248
So unless you're hearing it over and over again, and then in which case your benchmark is wrong. Which is a, is a key point, right?
264
00:34:15.288 --> 00:34:23.228
Is that, you know, benchmark data only gets you so far, and then it, it is a lagging indicator. It's something that was what people were paying whenever they conducted the survey. Yeah.
265
00:34:23.238 --> 00:34:28.088
So the fact is, is that those who are in the market and accepting offers now may be on a very different salary, and so- Yeah. That's right.
266
00:34:28.128 --> 00:34:40.778
-I think it just talks to that partnership that, you know, if you're ahead of people, it's about making sure that if you do have someone who is focused on salaries and developing them based on surveys, that they are also speaking to their, the talent acquisition team and understanding- That's right.
267
00:34:40.778 --> 00:34:48.438
-whether or not those offers are being effective. 'Cause if you're not, then you're just not gonna have the talent. And to the managers within those roles too, uh, like if you're an engineering manager at Oxalys- Yeah.
268
00:34:48.438 --> 00:34:53.408
-you should kinda have your ears to the ground as far as, you know, what's going on in the, in the talent market. That's really important.
269
00:34:53.468 --> 00:35:03.388
Now, you, you will get like the anecdotal stuff you'll hear is like people will always tell you, "Oh, I've got a mate who's being paid more for this thing," but they don't tell you about the other five mates they've got that are being paid less for it, right?
270
00:35:03.428 --> 00:35:11.348
So you have to be thoughtful. And really the test is pick the number that you're offering to people. If they're accepting it, you're probably fine. You're probably clearing market, you know.
271
00:35:11.388 --> 00:35:18.488
And the same actually, when you get a benchmark and the benchmark says the role for this is this, and it's massively different. You've just hired three people to do that thing and you had no trouble.
272
00:35:18.908 --> 00:35:24.728
None of them complained about salary, then you're probably doing fairly right, you know. Yeah. No, that's really cool.
273
00:35:25.528 --> 00:35:34.648
What are, what are some of the tips that you would share with founders or, or some of the incentive behind doing something like this? Why, like, why should others think about following in these, these sorts of footsteps?
274
00:35:34.668 --> 00:35:44.268
Or what would you say to them to, to convince them? Yeah. I mean, I think some of these, some of these laws, they definitely come from a good place. And, and they probably do work to the degree that, like if you...
275
00:35:44.458 --> 00:35:48.528
a-and we've done this, you post a job ad for a range that's higher than what you're currently paying people.
276
00:35:48.588 --> 00:35:58.508
People are gonna see that, and you're kinda silly to think they're not going to see it, and so you better be prepared to answer why. Um, that, that was before we, we had a system like this. Um, but I, I...
277
00:35:58.568 --> 00:36:05.868
you know, people game them, right? So you'll see a job ad and it's like, "Oh, the range for this is, you know, anywhere from eighty thousand to two hundred and fifty thousand." Well, that's- Yeah. -ridiculous. You know?
278
00:36:06.128 --> 00:36:07.248
Pointless. So that doesn't do anything.
279
00:36:07.558 --> 00:36:17.948
No, I think actually if anything, the internal transparency is way more important than what the transparency that you're showing on the job ad, but it, but it does, it does, it does, it does kind of matter.
280
00:36:18.248 --> 00:36:29.488
Let's say, you know, as a founder, you started a company because there was a problem in the world that you wanted to solve or you wanted to paint, you know, your creative abilities in a, in a way that people could experience and admire.
281
00:36:29.598 --> 00:36:35.468
And so there's a whole bunch of reasons you started a company. Chances are HR policies probably wasn't one of them, right?
282
00:36:35.568 --> 00:36:45.407
It's like of all the things you have to deal with as a CEO, it's probably not the thing that gets you out of bed, particularly because, you know, it's a touchy subject, it's an emotional subject, you know, all of, all of these kind of things.
283
00:36:45.588 --> 00:36:55.888
And so as a result, I think what most founders do is sort of try and make it someone else's problem, or they just kind of wing it, and they don't put any sort of systematic thought into it. Um, or they're just really...
284
00:36:55.928 --> 00:37:00.588
they don't really want the conflict that sometimes comes with being transparent. They overthink. Like if we're...
285
00:37:00.628 --> 00:37:05.228
when we do-- when we share the benchmarks internally, some of these benchmarks are really wide-ranging, right?
286
00:37:05.268 --> 00:37:13.008
Like I said, you know, junior engineers where the percentiles kind of beat senior engineers just 'cause that's how the data collection happened and the sample size is small.
287
00:37:13.028 --> 00:37:18.558
And so you share something like that internally, of course you've got to be prepared for someone to ask the question like, "Well, the thing says this.
288
00:37:18.588 --> 00:37:24.100
Why are we only paying this?"And you've got to be prepared to answer that, and people don't want that conflict sometimes, I suppose.
289
00:37:24.820 --> 00:37:39.520
But I can tell you being systematic, being thoughtful about this stuff and getting it out there, it actually the amount of time that we now spend worrying about stuff, it's not like, "Brett asked for a pay rise, and I don't know if I should give it to him.
290
00:37:39.780 --> 00:37:46.140
You know, what's, what's Jodie going to think about that?" It's just there's a system, and you just follow the system, and if you're getting enough feedback, there's something not right with the system.
291
00:37:46.200 --> 00:37:51.040
You fix the system. It's actually super powerful. And again, people care about the fairness more than anything.
292
00:37:51.100 --> 00:38:01.390
So if you lean in on being more transparent than you're comfortable with, assume that everyone on your team is smart enough to understand your explanations of stuff, and if they haven't understood it, you probably haven't explained it very well and just keep trying.
293
00:38:02.000 --> 00:38:13.100
Accept that you're probably not going to make everybody happy, but you owe them an explanation. Um, understand that it's the fairness part that probably matters more. You know, they would be the tips. Yeah.
294
00:38:13.220 --> 00:38:22.300
I think you touched on a, a critical point, which is that n-by not having a system, as a founder, this is a topic that is, is definitely on people's minds all the time.
295
00:38:22.690 --> 00:38:33.060
And by not having a basis or, or a grounding in which your people can speak about or understand how it's done, it's occupying time that could be spent focused on the job and delivering outcomes to-towards your mission.
296
00:38:33.580 --> 00:38:37.980
Um, but it's also taking up time with your managers. It's taking up times of your, your head of- Yeah... uh, people.
297
00:38:38.040 --> 00:38:44.160
It may even be taking up your time because it's, there's no basis for which these decisions are being made. And so, you know, it just makes all of that a lot harder.
298
00:38:44.360 --> 00:38:51.780
And, and that's the tip of the iceberg that you're seeing 'cause the bottom part of the iceberg is like the gossiping that's happening around things, the sort of assumptions people are making. Like, all...
299
00:38:51.820 --> 00:38:59.760
There's all this sort of untapped productivity that comes from people wasting time feeling like they're being treated unfairly when maybe they're not. Like we said, yeah, that's kinda worst outcome, right?
300
00:38:59.830 --> 00:39:04.520
'Cause if you're treating everyone unfairly, at least you kinda get to pocket the difference, but you don't, [chuckles] you don't even get that.
301
00:39:04.580 --> 00:39:12.860
So one thing I'm really proud of within Octopus, so like I said, we're three hundred people. We've been going for like twelve years. We've never had an employment tribunal issue.
302
00:39:13.120 --> 00:39:25.080
We've never had to involve lawyers in any kind of employment thing. It's super squeaky clean. And, and the thing I would attribute that to is we just treat people well. We treat them like humans, right?
303
00:39:25.120 --> 00:39:31.000
We don't give them reasons to be upset about things that we do because we try and conduct ourselves well, you know? That's a great point.
304
00:39:31.060 --> 00:39:36.260
It's, it's a, it's a solid risk mitigation for, for those sorts of, you know, compliance issues. Yeah.
305
00:39:36.280 --> 00:39:53.440
Like p- HR, this is my biggest, like, bugbear, I suppose, with traditional HR, particularly, um, leaders, is this feeling the company gets that the people team, the H, you know, the rebranded HR team, let's say, is here to protect the company or is here to kinda toe the line on company policies.
306
00:39:53.620 --> 00:39:58.680
It just doesn't, it doesn't work anymore. Like, it probably never really worked, and it, it definitely doesn't, it doesn't work now.
307
00:39:58.860 --> 00:40:03.740
What the people team is here to do is make sure that we are living up to all of the things that we've said we would, right?
308
00:40:03.800 --> 00:40:10.860
Like, if, if this is the philosophy, this is the conversation, this is how we think people should be treated, the people team's job is to help ensure we are living up to that.
309
00:40:10.900 --> 00:40:19.900
And o-often that is actually siding with the people rather than siding with management because management's got thick skin, we can take it, but people need help. So that's what the people team has to focus on.
310
00:40:19.940 --> 00:40:25.240
If you do that, you don't have problems. You don't have disputes. Yeah. Yeah. I agree completely with, with that sentiment.
311
00:40:25.260 --> 00:40:32.940
And actually it's a, it's a nice segue to sort of the last part of this, um, this interview that I'm keen to dive into, which is, you know, this, this is an audience of heads of people or chief people officers.
312
00:40:33.560 --> 00:40:39.320
You know, what... When you're a founder, you know, you're heavily involved clearly from the philosophical aspects of how this sort of stuff is developed.
313
00:40:39.490 --> 00:40:49.160
But in terms of what your expectations are, head of founder when it comes to compensation as a commercial skill set, what do you think are some of the key traits or attributes you look for there as, as the leader of the company?
314
00:40:49.980 --> 00:40:58.140
Yeah. So I think, I think one of the things you really are looking for is you want someone who has the s-- like they agree with that philosophy that, that you have, right?
315
00:40:58.200 --> 00:41:06.580
So in my case, the compensation philosophy that we have, I need a head of people who actually believes in that and wants to push, wants to, wants to make it even better than what it is, right?
316
00:41:06.620 --> 00:41:16.460
It, it can't be somebody who doesn't understand where that's coming from. Um, I think like any, any executive, if you have a people team leader, they're probably reporting to the CEO, right?
317
00:41:16.540 --> 00:41:23.180
And that's a very dangerous thing to be doing because the CEO is the unique management role in the company that actually has no clue how to manage you.
318
00:41:23.720 --> 00:41:30.630
So if you're the head of people and you hire a talent acquisition leader, you can manage them 'cause you probably did the job once upon a time. But the CEO, by definition- That's a good point...
319
00:41:30.630 --> 00:41:50.160
probably hasn't run all twelve functions of the company to, to a great degree, and so they can't really coach you on this, but they can have, they will have, and hopefully should have a very strong sense of how they want the people to be treated and what the lived experience of, like in our case, what the lived experience of Octonauts should be like at the company and what's good enough and what's not good enough, what are we not gonna stand for.
320
00:41:50.500 --> 00:41:56.100
So you have to listen to that and make sure you're, you're supporting in that, but they're not gonna be able to give you much career advice or coaching.
321
00:41:56.360 --> 00:42:06.400
You have the standard kind of executive challenge of you've got to spend as much time building relationships with the CEO, but also with all of the other people in the management team, right?
322
00:42:06.440 --> 00:42:20.060
The way we think about it is like the management team is a team that runs the company on behalf of the CEO, and secondarily, they all happen to have different functions reporting to them, but it's a team first and foremost, and so you can't just pipe up when there's a HR question, right?
323
00:42:20.260 --> 00:42:29.060
You should be just as involved in how well our marketing strategy is working or the design of our R&D organization. Like, all of those things are important, but obviously be, be respectful in those things.
324
00:42:29.650 --> 00:42:33.720
And then your team as well, right? That's the one thing that CEOs don't see, right?
325
00:42:33.800 --> 00:42:49.440
We see you as a manager and as an executive, and we see your interactions with your peers in the executive team, but unless we happen to be doing a lot of skip levels and spending a lot of time understanding all the people that are reporting to you, it's actually really hard to get a, a sense of what the lived experience of those people is like working for you.
326
00:42:49.830 --> 00:42:59.160
And so you're very much entrusted to, you know, be treating those people well and empowering them to be successful. And so obviously taking great care in that as well is really important. Yeah. Amazing.
327
00:42:59.200 --> 00:43:08.400
I love that answer. That, that's... Yeah, that's really insightful. Um, I don't, I don't have anything else to add to it. [laughs] Trying to think of something witty but nah. [laughs] Um, this has been amazing.
328
00:43:08.440 --> 00:43:16.580
This has been such a, a fascinating conversation. I really appreciate the, the time that you've taken to kinda delve into it, not only the, the philosophy itself but kinda the impacts that it's had across the business.
329
00:43:16.640 --> 00:43:25.500
You know, you're the founder of a successful SaaS company. Any key or lasting pieces of advice for, for a head of people that's, you know, that, that's wanting to join or be part of a company like yours?
330
00:43:25.760 --> 00:43:34.900
I think like all these things, it always just comes back to the basics, right? So if you're the people team leader, your job is help the company make the most of the talent in all of the people that we have.
331
00:43:34.920 --> 00:43:52.052
You know, help us to recruit them, help us to keep them, help us to motivate them.You know, and so like getting too focused on processes and systems and all of those things help, but it kind of has to come from a point of what is the lived experience of the people who are working in the company on a daily basis, particularly the people sort of at the bottom, let's say, of the organization.
332
00:43:52.732 --> 00:44:02.971
You know, like really being their advocates, listening to them, helping ensure that's how we get the most out of the people capital that we have, I suppose. That's the main thing, right? That's the thing that will...
333
00:44:03.032 --> 00:44:07.252
If you can kind of keep that at the core of every single thing that you're doing every single day, you know, that, that will go a really long way.
334
00:44:07.582 --> 00:44:21.012
And yeah, like lean in on transparency too, and I don't think it comes-- Actually, like HR is probably one of the roles that struggles with transparency the most 'cause like by definition, if, you know, Fred has made an accusation about Bob, that's not going on the public intranet, right?
335
00:44:21.072 --> 00:44:26.552
Like that's an HR case, so we're gonna deal with it in a particular way. And, and like pretty much every document HR creates is a private document.
336
00:44:26.572 --> 00:44:36.092
And so like, like they default to a really low level of transparency almost as a... That's how they're trained, you know. But actually, like transparency matters a lot. Yeah.
337
00:44:36.172 --> 00:44:41.842
As a profession, I think it's, it's been born out of confidentiality being a cornerstone of, of what they've done, and so I think that's transitioned.
338
00:44:42.452 --> 00:44:52.872
Personally, that's part of the reason why I think a lot of companies have been slow to, to adopt pay transparency practices even though you look at the legislation that's coming in, you look at early career people.
339
00:44:53.012 --> 00:44:57.312
I mean, it's not... It's a big topic for them. They, they will tell you their salary gladly. They'll speak about it openly.
340
00:44:57.372 --> 00:45:04.302
Um, but I think again, because we're a function that is emerging from that kind of back office confidential policies, that sort of approach. Yeah.
341
00:45:04.332 --> 00:45:13.292
Personally, that's why I think we've, we've seen a, a thoughtful adoption. You're totally right. Like that's the reality, and it's a good thing. Like you should assume that people are talking about this stuff.
342
00:45:13.372 --> 00:45:20.412
Even if you put in their employment contract that they're not supposed to talk about salary or something, I mean, that's just asking them to talk about it even more, right? Assume that they are.
343
00:45:20.432 --> 00:45:25.952
Like really assume they are. M- How do you make those conversations really positive then? Like this is the way to do it.
344
00:45:26.072 --> 00:45:36.352
Be open and transparent so that if people are talking about salaries, it's coming from a, "Gosh, aren't, aren't we lucky to work for a company that, you know, treats us like humans d- worthy of respect and, you know, does the right thing by us?"
345
00:45:36.412 --> 00:45:44.152
Like make that an asset, the fact that they're talking about it, not a, not a sort of liability that you're trying to hush. Yeah. Yeah. One hundred percent agree. Amazing.
346
00:45:44.232 --> 00:45:51.622
Um, before I wrap up, are there any other aspects of this that you want to dive into? I, I... We were in the news a little while ago for like gender pay gap stuff. Yeah.
347
00:45:51.672 --> 00:46:00.312
It was like a giant hornet's nest that I went and hit. Yeah. [chuckles] So like, and I, I don't... I'm actually like happy to, to talk about it.
348
00:46:00.532 --> 00:46:10.472
So let me, let me start by saying so, you know, within Australia, so for those who aren't familiar, we have the Workplace Gender Equality Agency, um, and they, uh, just this year have released the gender pay gap.
349
00:46:10.552 --> 00:46:22.712
So the, the unadjusted, uh, gender pay gap for companies in Australia with more than a hundred employees. And so, um, I'd love to understand your experience through that process.
350
00:46:22.952 --> 00:46:34.652
Um, uh, talk to me a bit about what you think that number represents and, and, and how that could be helpful and maybe less helpful for companies in terms of how they, uh, position it as part of their, um, DEI strategies.
351
00:46:35.472 --> 00:46:45.032
Yeah. It's... I, I think it's a very well-intentioned, uh, thing, but it, it has come with some challenges, and so... And, and they're gonna be different, right?
352
00:46:45.082 --> 00:46:51.972
Like, so when I say that, you might sort of, uh, jump to a particular conclusion about where I'm, where I'm coming from in that, but I'll, I'll try to sort of explain my, my thoughts.
353
00:46:52.812 --> 00:47:02.012
So, um, so the way, the way it works is we're taking all the male salaries, we're taking all the female salaries, we're averaging them up, and then we're looking at the difference between those two things.
354
00:47:02.052 --> 00:47:09.472
That's, that's how it's calculated. And it's Australia only. So we report it in Australia, um, for our Australian employees.
355
00:47:09.532 --> 00:47:20.112
But if I was to take my executive team, for example, um, the three women on my executive team, they're all based in the United States, so they don't count towards the numbers that we report to, to WGEA.
356
00:47:20.452 --> 00:47:27.832
And that kind of ratchets down the organization, right? Where it just... Geographically, we just happen to have people in different countries and, and the balances are different.
357
00:47:27.872 --> 00:47:33.532
And that's not a-- That doesn't seem like something the company should be optimizing for, right? Like we want a diverse team.
358
00:47:33.952 --> 00:47:43.132
It doesn't have to be diverse in a particular country because our teams work geographically anyway, so we want to hire the most talented people, you know, that we, that we can find regardless of which country they're in.
359
00:47:43.592 --> 00:47:55.812
And so, so it has that problematic aspect for it. And the, the way someone explained this to me is like one of the, uh, the challenges with this is like
360
00:47:57.192 --> 00:48:08.572
women for a long time have been in roles that have been underpaid, um- Mm-hmm... like historically underpaid, and there's a very deep sense of unfairness towards that, as there very well, you know, should be.
361
00:48:09.452 --> 00:48:18.132
Um, particularly there's many women will point to experiences they've had working in companies with people doing the same role but being paid more for it, right?
362
00:48:18.192 --> 00:48:26.232
Like that's a visceral experience a lot of women have, uh, have had. And so it's a very emotionally charged topic and not, not for, you know, for, for good reason.
363
00:48:27.372 --> 00:48:35.612
Um, and, but the problem is then it's being rolled up into a statistic, and the statistic is then kind of being used to paint companies or their practices in a, in a, in a particular way.
364
00:48:36.312 --> 00:48:52.512
Um, that, that is important from a society point of view because it helps to drive a really important society conversation, which is, you know, there are, there are career pathways that are predominantly chosen by women and career pathways that are predominantly chosen by men, and they tend to be paid differently, right?
365
00:48:52.622 --> 00:49:00.232
Mm-hmm. And, and is that fair? That's a very good question for like Australian society to be asking and answering and having a, having a debate about.
366
00:49:01.052 --> 00:49:10.232
But then you get down into an individual company and you say like, okay, within Octopus, like I said, you know, we've got marketers and we've got software engineers and we pay them differently because that's the market that we're hiring into.
367
00:49:10.272 --> 00:49:14.552
It's the reality of the market that we're hiring into. Um, and it's driven by a few things.
368
00:49:14.812 --> 00:49:26.192
It's driven by a software engineer can write some code, and I can sell it to one customer, or I can sell it to a thousand customers. It has a huge scalability aspect, you know, of that. It's a hard role to hire for.
369
00:49:26.272 --> 00:49:34.212
There's just not as many graduates as, as the industry needs. It's a bit easier to find people within marketing. But the gender differences going to those two roles are quite different, right?
370
00:49:34.292 --> 00:49:44.460
Marketing's like fifty/fifty male/female. Um, software engineering's, you know, likeBest numbers, maybe like twenty percent, and then it, it drops too as you get further into career pathways.
371
00:49:44.500 --> 00:49:51.860
So at more junior levels, it might be higher- Mm-hmm... but it, as you get later into career, and because we work remotely, we tend to hire more on the senior end, it's, it's harder to find people.
372
00:49:51.900 --> 00:50:01.120
And so, and so then you have this challenge of like when you average those two things up, what you find is like, like if I go and look at my software engineers, male or female, they get paid the same.
373
00:50:01.300 --> 00:50:08.960
If I look at my marketers, male or female, they get paid the same. But when I add my company together, I don't have many marketers. I have a lot of software engineers. The software engineers tend to be men.
374
00:50:09.300 --> 00:50:17.980
The average skews, and so I get a negative number, you know, on, on that. And then we try and unpack it, and we say like, "What does this negative number mean? Like, what does it tell us?"
375
00:50:18.080 --> 00:50:24.340
So if, so if you were to say, like, okay, you've got this pay gap, you know, where is it coming from? There's a whole bunch of really valid questions you'd ask.
376
00:50:24.400 --> 00:50:30.940
You'd ask questions like, well, for people doing the same job, are they being paid the same? Well, firstly, like- Mm-hmm... that's not just like a WGEA thing.
377
00:50:31.000 --> 00:50:37.900
Like that's, that's been the law for like twenty- That's a law... thirty years, right? Like [chuckles] you should be doing that 'cause it's like morally right and it's reprehensible not to.
378
00:50:38.100 --> 00:50:44.130
Um, but of course, people get around it 'cause they have like salary ranges, and they sort of, ah, this person's doing a slightly different role. But like, I think- Mm-hmm...
379
00:50:44.130 --> 00:50:53.600
you've got to be much less granular than that actually to, to feel like you're doing it fairly, so. Um, you know, so there's, there's like that question. Then there's the questions around like how they get promoted.
380
00:50:53.620 --> 00:51:00.010
There's the question of how they're treated in performance reviews and, and those kind of things. Mm-hmm. Now, if you... And, and I think that's the helpful thing, right?
381
00:51:00.080 --> 00:51:10.800
You can come up with like ten questions within your company that speak to the lived experience of women versus men working within your company as far as, you know, do they get the same opportunities?
382
00:51:10.880 --> 00:51:13.410
Do they get the same promotion rates? You know, all of those things.
383
00:51:14.060 --> 00:51:20.750
Um, and if the answer to all those things is like, yes, and generally pretty good or a bit of room to improvement, you know, let's do some stuff next year- Mm-hmm... to make this particular thing better.
384
00:51:21.500 --> 00:51:28.690
Um, but you still get to a point where you have like a large gender pay gap that's just mostly driven by one role tends to be overwhelmingly male compared to other roles. Mm-hmm.
385
00:51:29.260 --> 00:51:35.700
Like I don't, I don't see that as a number that's particularly helpful for me. Um, you, you try and think like, how do I correct that, right?
386
00:51:36.180 --> 00:51:47.460
So what I could do is I could hire, um, more female software engineers at the junior level, um, because that will help get more people in, and I could do some stuff to maybe get more women to choose software engineering as a career.
387
00:51:47.480 --> 00:51:51.750
And there's probably a debate about like, how much should we be... should we be, be doing that or not? Mm-hmm.
388
00:51:51.760 --> 00:51:58.450
But like, even if we do that, that actually makes the gap worse because then we've got like still overwhelmingly male senior engineers and junior- Yeah...
389
00:51:58.460 --> 00:52:01.760
female engineers, and they're being paid less, and so the, the gap actually like widens, right?
390
00:52:02.340 --> 00:52:10.429
Um, and e-if even if you think like, okay, well, in five years, though, they'll all become senior, and it will even out, like it doesn't unless it's fifty-fifty, right? Mm-hmm.
391
00:52:10.450 --> 00:52:17.470
And so then the only way to do it is to hire fifty-fifty at the junior level, but the graduation rates aren't fifty-fifty, and so the only way to do that is to be really- Mm-hmm...
392
00:52:17.470 --> 00:52:24.420
biased in your hiring process, and that's wrong, right? You can't-- I don't think you should be able to... You should, you should do that. Bias in either direction i-i-is wrong.
393
00:52:25.400 --> 00:52:32.520
And so actually, like, then you can start to do stuff like actually, you know what? The trick is you hire just male junior engineers because that will skew the male salary down. But you don't wanna be doing that.
394
00:52:32.550 --> 00:52:33.540
[chuckles] Like that's horrible too.
395
00:52:33.620 --> 00:52:50.560
So the challenge for companies, though, is because this is such a charged topic, what it does internally, like within any company, you've got a, a group of people who care very rightly, very passionately about this, and they want to see the company living up to its potential and its obligations in this space, right?
396
00:52:51.200 --> 00:53:06.860
And so I would say, like, when you think about the systematic approach that we take to this, when I think about, you know, uh, like a lot of the stuff that the, the lived experience that women have probably had working at other companies, like it doesn't exist at Octopus because of how, you know, we're set up and, and things are structured.
397
00:53:06.980 --> 00:53:06.990
Um,
398
00:53:08.260 --> 00:53:20.940
like, uh, ideally, what you'd have then is like those people who care a lot about this topic would really understand what you're doing, would feel really proud of the good stuff that you're doing, and would be telling you for the areas you can improve on, right?
399
00:53:20.960 --> 00:53:29.220
And advocating for those specific areas where like, "Hey, we're doing really good at, you know, these nine things, but this tenth thing, like that's a room to improve." That's where you'd have people engaged.
400
00:53:29.670 --> 00:53:36.429
The challenge, though, is when you get a number like the WGEA report that gives you a big negative number, and you get a bunch of press and stuff around it like, like we had for a while- Mm-hmm...
401
00:53:36.460 --> 00:53:45.350
is like internally, those advocates, they feel a real cognitive dissonance 'cause like, well, I think the company does everything right, but like everyone's bashing it, so you know, maybe we must- Yeah...
402
00:53:45.350 --> 00:53:49.350
be doing something bad. And they actually just disengage, is what we found through that process.
403
00:53:49.370 --> 00:54:08.800
So those people who sort of cared about this topic the most actually became like the least vocal 'cause they were struggling, I think, with that, with that cognitive dissonance and, you know, they care about the people who are outside the company who are not informed about what we're doing, you know, being quite vocal about that, and the people inside sort of didn't wanna, you know, uh, be caught in the middle, right?
404
00:54:08.860 --> 00:54:13.780
Let's say. And so-- and I think that was actually like a bit of a setback. We, like i-in terms- Mm-hmm...
405
00:54:13.790 --> 00:54:22.640
of people who care about this topic actually being able to really engage and constructively help the company, you know, get better as, as we always have room to improve, so. That, that was a bit of a long answer.
406
00:54:22.880 --> 00:54:23.840
I think it's...
407
00:54:23.940 --> 00:54:35.560
No, but, uh, it's, it's really great to hear, you know, from the inside how, how companies face that challenge, and I'm hearing, you know, A, is the fact that it, it is this kind of signposted number that does get put out there, which does affect your employer brand.
408
00:54:35.600 --> 00:54:39.590
I think you'd be crazy not to think about how it impacts people that are considering working for your company.
409
00:54:40.240 --> 00:54:46.940
Um, but I'm hearing that it's also, it's impacting the advocacy that your people in the company have as well and, and maybe quietening them down.
410
00:54:47.370 --> 00:54:55.720
It's so interesting to, to hear it from the perspective of, okay, well, yes, it does only take into account the Australian population, and so for global companies, that can be quite, um, quite a challenge.
411
00:54:56.360 --> 00:55:02.760
Um, and then it's, you know, the, the question around, well, what can you do to, to change that on a societal level?
412
00:55:02.800 --> 00:55:12.080
And, and what are the things or the compromises or, or maybe biases that you have to implement or things you have to do to be able to, to achieve that kind of golden ratio that people are, are looking...
413
00:55:12.220 --> 00:55:16.160
There's-- I think there's a whole conversation here. It's, it's, it's such a deep and, um,
414
00:55:17.180 --> 00:55:22.840
topical area 'cause, I mean, you can go into things like, well, you know, how do you look at internal mobility into some of those areas?
415
00:55:22.880 --> 00:55:31.700
You know, there's, there's people where you might say, "Well, would you be an advocate for, you know, raising the, the average salary for, for those female-dominated, um, professions?"
416
00:55:31.740 --> 00:55:37.199
There's a whole range of ways in which on a purely number basis you can look at, um, look at adjusting it.
417
00:55:37.220 --> 00:55:46.320
But, um, yeah, I think regardless, it's, it's really fascinating to hear what that journey and, and experience has been for, for your company. Yeah, like, and we, we definitely took it like really seriously, right?
418
00:55:46.360 --> 00:55:54.290
Like as, as even before they were publishing the numbers, like we, we would look at it, and we would ask these questions, though, internally around like, "Okay, what does this mean? What is this telling us?"
419
00:55:54.360 --> 00:56:03.548
Because we've set up a system that should be really fair, that shouldn't have these kind of issues. Mm-hmm.Um, so, you know, what can we, what, what can we learn from this? And I think we, where we got a bit
420
00:56:04.468 --> 00:56:12.798
disillusioned, I suppose, was, was sort of like chasing answers to the question. We're kind-- So you, you come up with all these hypotheses, right? And they all start from a fairly dark, negative place- Mm-hmm.
421
00:56:12.828 --> 00:56:14.328
-about bad things the company must be doing.
422
00:56:14.828 --> 00:56:22.548
And as you sort of disprove each of them, though, it's kinda really hard to shake like, oh, but negative seventeen, negative twelve, you know, whatever the number is, is, uh- Mm-hmm. -is a thing. Yeah.
423
00:56:22.768 --> 00:56:31.488
The geographical part is real 'cause you also have, like in our case, most of the people we have within Australia are in R&D, right? So it's like really engineering-centric.
424
00:56:31.528 --> 00:56:37.908
Whereas like my marketing team i-is only like a third of it is in Australia, the rest is in the US and the UK 'cause that's where the customers are. Yeah.
425
00:56:37.988 --> 00:56:42.428
So like it skews, you know, even further, like in, uh, in those respects. So...
426
00:56:42.928 --> 00:56:55.448
I think if I was to advocate for like one thing from WGEA or from, you know, uh, folks who, who care about that, um, conversational movement would be actually, I think, getting some agreement on, like the so what, right?
427
00:56:55.488 --> 00:57:03.858
So if you say like, okay- Mm-hmm. -here's what the number is. So what? You know, what's the hypotheses behind it? What are the ten questions you could ask that would help you- Mm-hmm.
428
00:57:03.968 --> 00:57:13.808
-understand, is this just a result of how the statistics are gathered and how the career pathway gender choices shake up, or is it because of practices the company could be improving on?
429
00:57:13.858 --> 00:57:18.578
'Cause WGEA do ask about a handful of practices you have as a company. Mm-hmm. But, but like they...
430
00:57:18.708 --> 00:57:26.918
I don't think they actually do ask about, you know, of the last performance cycles, who tended to get the high scores, who tended to get... Like, there's actually a lot of really good questions you can ask in that. Yeah.
431
00:57:26.928 --> 00:57:30.388
And I think if companies- That help look beneath the surface a little bit. -were sharing that stuff...
432
00:57:30.488 --> 00:57:37.048
Yeah, and like if the answer to all those ten questions is like the company's doing really good, then you sort of don't need the negative score, and you don't need the sort of
433
00:57:38.468 --> 00:57:44.628
frustration that gets channeled, like the, the, the valid frustration people feel in this space that's being channeled.
434
00:57:45.168 --> 00:57:51.118
You know, 'cause like there's, there's definitely companies with really good scores who you know, right? Like you're in the industry, you know, like these companies have horrible practices. Mm.
435
00:57:51.168 --> 00:58:00.998
And there's companies with good practices that get bad scores and like it's a very imperfect bludgeon, I guess, to be hitting companies with. And it's like, and it's losing allies, I think, is the concern, right?
436
00:58:01.068 --> 00:58:11.208
Like people- Mm. -who care about this space are sort of getting a bit disenfranchised from it as a result. Yeah. This has been really insightful. I very much appreciate the conversation. I love talking about this stuff.
437
00:58:11.268 --> 00:58:18.928
So Paul, thank you so much for, for joining me on this. Thanks. I'm sure there's a future edition. There's about three or four other topics [chuckles] I feel like that we could tackle on this.
438
00:58:18.948 --> 00:58:28.137
So I really, really appreciate it. Yeah, sure. Thanks for tuning in to the Foundation series. Stay ahead in startup compensation by subscribing and joining our community of startup leaders.
439
00:58:28.468 --> 00:58:30.528
Until next time, I'm Matt from Foundation.
1
00:00:00.160 --> 00:00:04.900
Welcome to the Foundation Series, where we explore startup compensation with top minds in the industry.
2
00:00:05.300 --> 00:00:15.540
You'll hear from heads of people, from founders and VCs on how to drive results through startup compensation strategies and practices. Let's dive into today's episode. So Paul, welcome.
3
00:00:15.880 --> 00:00:25.350
Great to have you here on the Foundation Series. I really appreciate your time, uh, joining me today to, to talk about pay transparency. Uh, [chuckles] what... How to introduce you?
4
00:00:25.760 --> 00:00:37.760
Octopus Deploy has been a company that has been renowned, certainly within Australia, I think not just because you have a really novel name as a company, but also because you've been, like, a standout success within the, the, the technology space as well.
5
00:00:37.900 --> 00:00:42.140
Um, but excited to, to speak to you today on the topic of pay transparency.
6
00:00:42.720 --> 00:00:58.340
Um, I'm gonna obviously get you to introduce yourself and, and Octopus and, and the things you've done in pay in a second, but I've, I've always been really impressed with how forward-leaning I think you've been as a company in, in a lot of different aspects when it comes to your people practices, not just p- uh, pay transparency.
7
00:00:58.440 --> 00:01:10.100
Um, and so yeah, really excited to have you on the, on the series today. So welcome and, um, I'd love to have you introduce yourself, share a bit about, about Octopus and about your role as a founder. Uh, thank you.
8
00:01:10.160 --> 00:01:16.820
That, that's a very kind introduction too. So, so thank you, and thanks for having me. Um, yeah, and hopefully this is, uh, useful for, for people who find it interesting.
9
00:01:17.660 --> 00:01:28.460
Um, yeah, so look, I'm, I'm the founder and CEO of Octopus. I started it, uh, about twelve years ago, um, as a sort of nights and weekends hobby project and then eventually grew it into a business.
10
00:01:28.560 --> 00:01:35.280
And, um, you know, at the moment we are... we've just crossed three hundred employees. Um, they're globally distributed around the world.
11
00:01:35.580 --> 00:01:47.040
Um, most of R&D is in Australia, New Zealand, and now Israel, um, and a little bit in Ukraine. Uh, and then we've got sales and marketing support geographically distributed, uh, everywhere.
12
00:01:47.120 --> 00:01:51.770
And, um, yeah, we just crossed a hundred million in revenue too, which was another pretty cool milestone. Nice.
13
00:01:51.820 --> 00:02:03.440
So, um, and look, we help companies with deployment automation, so all things CI/CD for, uh, for your engineering teams out there. And tell me, what's it been like being the, uh, the founder of a company like this?
14
00:02:03.450 --> 00:02:15.460
[chuckles] So Octopus started when I was twenty-five, and I think I'm approaching sixty now, so you know, uh, [laughs] In startup years. Yeah, in startup years, exactly. Um, you know, it's different to what I expected.
15
00:02:15.540 --> 00:02:22.440
So I'm a software developer by background, right? That's, that's how I, uh, got into this space and sort of fell in love with software creation.
16
00:02:22.580 --> 00:02:29.440
Um, and so the thing I thought I would enjoy is, you know, writing code and, and, um, and, and maybe building an engineering team.
17
00:02:30.020 --> 00:02:37.320
Actually, I think the thing I've enjoyed over the twelve years has been, like, there's always something that your organization can do just a bit better, right?
18
00:02:37.420 --> 00:02:43.240
Like, we're really good at this, this, and this, but we're just not very good at this thing yet. But we're gonna get really good at that thing soon.
19
00:02:43.260 --> 00:02:53.200
And so almost every year is a case of picking, like, what are the two or three things that we're not particularly good at that we need to get good at, and then, um, focusing down on building that capability.
20
00:02:53.260 --> 00:03:02.580
And within that, I, I learn a lot about myself, I learn a lot about other people. Um, and so that has made it a, a really enjoyable journey and has kept me engaged for many years now.
21
00:03:02.620 --> 00:03:08.680
So I think Octopus was first came onto my radar at a, a small developers conference here in Brisbane.
22
00:03:08.760 --> 00:03:17.520
I can't remember the name of it, but I remember seeing Mike, who heads up the engineering team there, who was talking about essentially like you had kinda open sourced your career framework.
23
00:03:17.560 --> 00:03:30.400
And I remember at the time being really impressed that, A, you even had a career framework, but B, that you had kinda been so thoughtful about it and then taken the steps towards, um, consulting that and making it available for anyone who, who comes across your website.
24
00:03:30.860 --> 00:03:37.420
That would've been six or seven years ago. Fast-forward now and, and that same philosophy, I think, has spread to a lot of different parts of your business.
25
00:03:37.540 --> 00:03:49.760
Most kind of, uh, relevant to this conversation is pay transparency. Tell me a bit about the, the, the philosophy about the sentiment that you have around pay as a, as a founder and, and as part of your business. Yeah.
26
00:03:49.860 --> 00:03:54.890
Um, that's a very good question. I guess we started probably like every other company in, in the early days.
27
00:03:54.910 --> 00:04:02.820
We were hiring the first couple of employees, and they were both software engineers, and so we posted a job ad for software engineers. Um, we put a salary number on it.
28
00:04:02.860 --> 00:04:08.829
We always felt it was really important that as the company, we're the ones naming the number and not asking people what they're currently on and things like that.
29
00:04:08.860 --> 00:04:13.840
So we hired the first couple of software engineers, and we paid them the same 'cause they joined at the same time to do, you know, roughly the same role.
30
00:04:14.380 --> 00:04:24.420
Then over time, as you do, you hire other people, and they're doing slightly different roles, so you pay them slightly differently and you're thoughtful about it, but there's not a systematic approach to it sort of thing 'cause it's only, it's only a few people.
31
00:04:25.240 --> 00:04:32.300
And then, of course, you end up hiring someone who's more experienced, and so you call them a senior software engineer. But now you have to sort of figure out what's the difference.
32
00:04:32.590 --> 00:04:39.720
I, I sort of know this person's gonna bring more value, but what is the value that they're gonna bring, and how do we sort of quantify that in a way that, you know, feels fair?
33
00:04:39.760 --> 00:04:47.000
And so in the early days, I think we put a bunch of emphasis on having a defined career framework that people could really connect with.
34
00:04:47.060 --> 00:04:57.780
And, and this was definitely Mike's doing in, in the early days of growing our engineering org because it was always the biggest organization at Octopus, where we wanted to have five different levels of what a software engineer is.
35
00:04:57.820 --> 00:05:04.940
So from junior, intermediate, senior, lead, principal, that sort of thing. Um, and we wanted very clear criteria for all of those things.
36
00:05:04.969 --> 00:05:12.300
And so what we wanted to be able to do when we sit down with someone and say, "Look, we think you're, you know, ready to be promoted to a senior engineer," or, "We think you're not ready to be promoted t-to senior engineer.
37
00:05:12.469 --> 00:05:19.900
Here's how we think about that. And, and if we share that in advance, then you can think about it too, and you can kind of make sure that you're, you know, working towards these things."
38
00:05:19.920 --> 00:05:24.360
And so it's really constructive way to have conversations around performance with people.
39
00:05:24.370 --> 00:05:31.020
And, and then when we introduced that, that was also the time we started thinking, "Well, you know, if we've got two people doing the same thing, we should be paying them broadly the same."
40
00:05:31.060 --> 00:05:40.740
So I think back then, going back eight or nine years, we probably had salary bands within those roles that were applicable. And I'd say that's probably where most companies are and, and probably where they stopped.
41
00:05:40.800 --> 00:05:47.390
As the company kind of evolved over time, we, we really leaned into having a very systematic approach to how we thought about compensation.
42
00:05:47.440 --> 00:06:01.280
And the way that I guess we always thought about it was if we were to accidentally print all of the salaries that everybody was being paid and leave it on the printer or forget to collect it from the printer, um, you know, and someone was to pick that up and share it with the whole company, would we feel embarrassed?
43
00:06:01.360 --> 00:06:06.940
Would we feel ashamed? Like, would we feel like we're doing something wrong? Now that-that's different to, like, does everyone else agree?
44
00:06:07.100 --> 00:06:16.100
They might, they might think it's really unfair this person gets paid this and I get paid that. But it was very important to us that we felt like we, we could justify our decisions, and we could stand behind them, right?
45
00:06:16.180 --> 00:06:21.872
And that, like, that's just part of being an, an ethical person.And so that was kind of always part of the system.
46
00:06:21.892 --> 00:06:33.132
And then over time, though, what we, what we then introduced was a little bit more of a matrix model where we said, "Okay, within those five bands, let's have different maturity ratings for those things, and we're gonna have three maturity ratings."
47
00:06:33.172 --> 00:06:42.692
And so we introduced, uh, performing, exceeding, and, uh, maturing. Then if you imagine the table now is five rows, and this is just for one career pathway for software engineer, right?
48
00:06:42.772 --> 00:06:47.942
So we've got junior through to principal, and then we've got three columns, maturing, performing, exceeding.
49
00:06:48.292 --> 00:06:55.632
If we were to say this is what we expect of a senior software engineer, someone who's maturing is probably meeting like seventy percent of those dot points.
50
00:06:55.952 --> 00:07:03.232
Someone who's performing should be meeting like ninety percent of them, and someone who's exceeding is probably doing all of them plus some of the things that would be expected from the next level up.
51
00:07:04.052 --> 00:07:12.252
So that's a, a way you kinda break down th-that matrix. And then what we said was, in every one of those cells in that matrix, there's not going to be a range.
52
00:07:12.632 --> 00:07:18.712
It is gonna be a single number, and that's what we're going to pay for people in that role, and they're going to know where they are within that matrix.
53
00:07:19.152 --> 00:07:29.112
And again, this is probably seven years or so ago, we started to do that. And then of course, we went and rationalized everybody 'cause over the years we'd hired a whole bunch of people for different rhymes and reasons.
54
00:07:29.142 --> 00:07:36.862
They had different salaries, and so we sort of normalized it into this thing. Over the years, things caught up. We got to a point where everybody was sort of fitting within, within that matrix.
55
00:07:37.512 --> 00:07:44.292
The thing that we did more recently, which I think touches on the transparency aspect you asked about, is we started sharing that-- those tables internally.
56
00:07:44.452 --> 00:07:54.892
So within the company, you can go and look up, uh, for marketing, the marketing career pathway, what are the five levels? What's expected of them? What is the difference between maturing, performing, exceeding?
57
00:07:55.372 --> 00:08:05.052
And what are we paying people to do those roles? And so you can see yourself on that matrix, and you can look at your salary, and you can say, "I'm being paid thing that the matrix says I'm supposed to be paid."
58
00:08:05.322 --> 00:08:13.012
And, and that goes a really long way, right? I think the thing people get wrong about compensation is it's not the dollar value. The dollar value actually for most people doesn't mean a whole lot.
59
00:08:13.052 --> 00:08:22.042
Like, it has a, it has an important meaning to their family and how they provide for them and so on, but, but, you know, by and large, people don't get emotional over that number, and it's not really very healthy to get emotional over that number.
60
00:08:22.452 --> 00:08:32.982
What they do get emotional about, and quite rightly so, is when it feels like it's not fair, when it feels like there is someone else doing the same thing as me but being paid more and actually and less too, right?
61
00:08:33.292 --> 00:08:40.632
Most people don't really wanna be the person who's being paid more to do the same role as everyone else either, right? 'Cause they work in teams, and being a good teammate is important.
62
00:08:40.892 --> 00:08:46.832
So that was sort of our evolution over time. Interesting story. I completely agree.
63
00:08:46.872 --> 00:08:59.302
I think so often it's, it's less about the number, and it's more about how it relates to peers or other roles outside the company that you could reasonably expect to, to be successful in and, and am I being paid commensurate maybe with the market, things like that.
64
00:08:59.332 --> 00:09:08.592
So completely relate with that experience. You... Talking about the catalyst, I mean, I think the, the question a lot of people may wanna ask is why. You've talked about there was the printer scenario.
65
00:09:08.752 --> 00:09:16.452
If someone were to walk past and pick up that piece of paper, I think that's, that's a reason for having a solid foundation and, and logic behind your salaries.
66
00:09:16.652 --> 00:09:24.432
What was the main driver for then going, "Actually, let's just make them available. Let's just give them to people, and, and even if they walk past the printer, they've seen the numbers before"? Yeah. Yeah.
67
00:09:25.052 --> 00:09:32.432
So I'd say part of it was just part of growing as a company. Like, as you add more people, things just become a little bit more complicated.
68
00:09:32.472 --> 00:09:44.732
And so as an example, when you have a system where people are just on different ranges, A, it becomes really hard even internally for people to justify why is this person being paid four thousand dollars more than that person.
69
00:09:44.812 --> 00:09:48.412
They seem to do roughly the same role. We seem to have the same level of expectations from them.
70
00:09:48.492 --> 00:09:55.912
So, so I don't think ranges kind of ever make sense, and I think they're a pretty hard thing to defend from, like, is it keeping me up at night as a CEO?
71
00:09:56.052 --> 00:10:02.832
But then you have this systematic approach that, that we took, and that allows you as a management team, and it wasn't just a couple of us.
72
00:10:02.912 --> 00:10:14.092
As we grew, most of the sort of mid-level managers, for example, saw those spreadsheets, and if you were like an engineering director, you would see all of the engineers, and you could see, yep, this is what they're being paid, and this is where they fit within that matrix.
73
00:10:14.152 --> 00:10:21.732
And the spreadsheet says it should be this. So that's good because then you've got a whole bunch of people who understand the philosophy and can explain it and defend it to people who haven't seen it.
74
00:10:22.312 --> 00:10:39.592
But it does, I guess, ask for a whole lot of trust from the average employee, let's say, who's sort of like, "Well, I've heard Octopus has this systematic approach to doing it, and if I'm being paid my salary, and I know Octopus has a systematic approach to doing it, I suppose I'll just trust that the company is following that systematic approach."
75
00:10:40.292 --> 00:10:44.492
But there's no way to verify that, right? There's no way that, that, that they can check it.
76
00:10:44.861 --> 00:10:56.212
And actually, I think one of the catalysts was over time we would do our own little audits on it, and we would go, and we would say, "Okay, for all the people that we've got, are they actually being paid according to what the system says they should be paid, you know, for their, their level and band?"
77
00:10:56.712 --> 00:11:09.142
And we, we screwed it up a couple of times, and the reason we screwed it up was someone got promoted, but at the time we had a hiring freeze or something, and we were meant to pick it up three months later, or they're in, they're in probation 'cause they'd only just joined, and so they missed out on one round of things.
78
00:11:09.712 --> 00:11:13.052
All kind of, I guess, understandable reasons, but not good reasons.
79
00:11:13.112 --> 00:11:22.892
And so as we would find those things, we'd go and fix it, um, but one of the things we realized is sharing the actual tables with people is super meaningful because what it gave people was firstly a sense of confidence.
80
00:11:22.932 --> 00:11:32.252
Like, okay, this is actually what the thing looks like. It's real, and it's concrete. I can see myself on it, and I can see if it's wrong, right? And so I can tell you if something's not wrong, and so that's good, right?
81
00:11:32.292 --> 00:11:36.772
It sort of puts power back in people's hands to be able to help us make sure the system is working as it's intended.
82
00:11:36.912 --> 00:11:40.912
And it also gives them a, a framework to think about the next few years 'cause they can look at that and can say, "You know what?
83
00:11:40.992 --> 00:11:48.082
Realistically, if I'm a senior engineer and I wanna become a principal engineer because that's the number I wanna get paid, can I meet that criteria in the next couple of years?
84
00:11:48.172 --> 00:11:54.612
Can I grow with the company, or do I need to look at changing career pathways or, you know, go somewhere else?" And so that was a really powerful thing as well.
85
00:11:55.112 --> 00:12:00.392
But the other thing we were quite transparent about is here's the benchmarks we're using to come up with these numbers, and here's how we come up with them.
86
00:12:00.582 --> 00:12:05.792
And so people can go and check the benchmark data themselves and, and sort of feel like, yep. Oh, okay. Wow. We have a philosophy.
87
00:12:06.012 --> 00:12:15.572
The way we think about it is if you imagine those three columns, maturing, performing, exceeding, maturing should be like the fiftieth percentile of the benchmarks we can find for that particular role.
88
00:12:15.612 --> 00:12:25.136
Performing should be like the seventy-fifth to... and exceeding should be in the ninetieth percentile.Now that's hard to do because in reality, when you pull these benchmarks, they're kind of all over the place, right?
89
00:12:25.196 --> 00:12:32.436
There's some juniors at the ninetieth percentile who get paid more than seniors at the fiftieth percentile, and you need to create a table that's only going upwards, right, as people progress through their careers.
90
00:12:32.456 --> 00:12:39.926
So you have to normalize and flatten things, and there's a lot of art that goes into it. But people being able to go and see those benchmarks themselves and kinda say, "Right.
91
00:12:39.996 --> 00:12:47.696
Octopus says we pay the seventy-fifth percentile," and, "Yep. Oh, that works. I can see it, and that's what I'm getting paid." Yeah. Wow. They feel a lot of confidence in the system. Yeah.
92
00:12:47.716 --> 00:12:50.576
So you-- I guess you're kinda letting people check your homework in a way.
93
00:12:50.656 --> 00:13:00.486
Like, it's, it's a, it's a sense of here's, here's the set of numbers that we will share with you as, as part of our pay transparency, but here's the actual numbers that underlie those figures and what we've- Yep.
94
00:13:00.726 --> 00:13:10.136
-how we've kind of handled them to land where we've landed. Yeah. And, like, I-- for some reason, companies are, like, really defensive about this. But if you imagine, like, what is the point?
95
00:13:10.156 --> 00:13:12.936
Like, what is the company trying to optimize for here?
96
00:13:13.676 --> 00:13:24.336
What we're trying to optimize for is we want to hire the maximum number of really smart, talented people, you know, that we can afford to do the work that, that we need to do, and we wanna retain those people.
97
00:13:24.346 --> 00:13:27.656
And so we have to pay them competitively or we won't be able to hire them.
98
00:13:27.686 --> 00:13:36.616
And we have to do that consistently or, you know, we can't just hire the new people at a higher rate because then the old people will know they can earn more elsewhere and so leave, right? So that's a silly idea.
99
00:13:36.696 --> 00:13:43.416
So you have to pay them all the same for the same work, and you wanna pay them competitive enough that they're not really thinking too much about salary, right?
100
00:13:43.456 --> 00:13:52.916
And we sort of aim for, like, again, that seventy-fifth, eighty-fifth percentile. Yes, you could possibly get paid three thousand dollars, five thousand dollars more if you go to another company somewhere else.
101
00:13:52.956 --> 00:13:59.946
Chances are you probably actually get paid less. That's what we're aiming for. Those jobs are out there though. But that's not the only reason we want you to be here. Yeah.
102
00:13:59.956 --> 00:14:08.636
But we want you to be compensated well enough you're not thinking... And it's important, right? Because then that also allows us to then maximize how many people we have, which also takes pressure off people, right?
103
00:14:08.696 --> 00:14:15.496
I'm not the only support rep answering tickets in this time zone 'cause Octopus can afford two people because we're not paying the hundredth percentile, we're paying the seventy-fifth percentile.
104
00:14:15.506 --> 00:14:20.706
And so that's the sort of thing the company's optimizing for. If our benchmarks are wrong, we wanna know, right?
105
00:14:20.736 --> 00:14:30.756
Like, I mean, it's ridiculous that if we have a software engineer who's been here for four years, they've built some amazing stuff, and they're leaving because they can make ten thousand dollars more elsewhere, we should have known that.
106
00:14:30.775 --> 00:14:39.866
We should have had our pulse on the market. We're active. We're hiring in the market. We should have a sense of what's going on with that market, and we should be making sure our pay is, you know, competitive to that.
107
00:14:39.916 --> 00:14:47.536
And when it's not, we're not just up-upping it for new people we're hiring, we're going back and we're fixing it for everybody else that's here as well, so they feel confident that the system's working.
108
00:14:47.576 --> 00:14:54.836
And so if people find better benchmarks, you know, we encourage them, like, share it with us. If you get an offer from someone else, you know, share it with us, 'cause that's what we're optimizing for.
109
00:14:55.156 --> 00:15:04.986
You know, we're not emotional about how much a software engineer costs, [chuckles] right? That's what the market says it costs. So we're just trying to keep as many of them as we can. Yeah. So why hide it?
110
00:15:05.336 --> 00:15:08.696
It's, it's really insightful. You touched on two things earlier that I'm keen to dive into.
111
00:15:08.756 --> 00:15:17.316
One of them is around what it's meant for people in terms of their own career mobility, so being able to identify a path that they may wanna pursue and factoring in the salary as part of that decision.
112
00:15:17.356 --> 00:15:25.216
Maybe they do wanna buy a house, maybe they wanna start a family, whatever that might be. The other is the, the trust side and the fact that you're going, "Hey, here's what we pay.
113
00:15:25.336 --> 00:15:32.176
We do pay consistently," and I wanna touch on pay points versus pay bands in a second as well. But what's it done from a, a trust perspective?
114
00:15:32.236 --> 00:15:37.996
And I think, you know, those dialing in here are probably gonna be very interested from an engagement perspective on what it means for them environment.
115
00:15:38.076 --> 00:15:46.976
I think we're in a, an interesting space as an industry where I would say, and certainly a lot of research shows that trust is, is diminishing between employees and employers at the moment.
116
00:15:47.076 --> 00:15:59.476
How have you seen this counter that trend? Yeah. I think sometimes, like, the worst place to be as an employer is, like, actually be doing everything right, but for people to have the perception that you're not, right.
117
00:15:59.556 --> 00:16:07.595
For people to have the perception... 'Cause then it is sort of like at least if you're doing everything wrong, you'd be getting away with it, right? Like, at least there'd be some, some upside to it.
118
00:16:07.636 --> 00:16:15.676
But if you're actually in fact kinda doing everything as well as you possibly can and people don't know about it, that's, that's kind of a worse outcome in some ways. Yeah.
119
00:16:15.716 --> 00:16:20.996
You're not cashing in on the trust credits, are you? Right. E-exactly. And so trust is, like, hugely important, right?
120
00:16:21.076 --> 00:16:29.306
Like, I mean, the employer-employee relationship, obviously, like we hold the power to some, to some degree there, right? So, you know, we have to kinda be very responsible with that.
121
00:16:29.316 --> 00:16:39.416
And so by sharing those tables, it does give people a very high level of trust because they can see where they're at. They also know that, you know, their peers are going to be there.
122
00:16:39.456 --> 00:16:47.496
Now, like, I think when people think about pay transparency, what they think, we're gonna create a spreadsheet, and we're gonna put everybody's actual salary into that spreadsheet, so you know exactly what, you know, Sarah's getting paid.
123
00:16:48.056 --> 00:16:51.456
But in practice, you don't, you don't have to do that. That's not required.
124
00:16:51.516 --> 00:16:59.876
If the goal is for people to feel like you have a fair and just systematic approach to compensation that's market competitive, you don't actually need to go that far.
125
00:17:00.376 --> 00:17:03.416
But what you can say is, you know, "Here's, here's the system.
126
00:17:03.496 --> 00:17:09.476
You can go and check your salary on it, um, and we're doing our own internal audits, but everyone else can call it out, you know, if we've made a mistake here or there."
127
00:17:09.676 --> 00:17:13.096
And that can give people a whole lot of confidence in it. Now, it's not, it's not always perfect.
128
00:17:13.136 --> 00:17:19.956
And I would say, like, even within Octopus today, we probably have a handful of cases of people who aren't being paid according to what's in that matrix.
129
00:17:20.096 --> 00:17:25.616
They're not being paid less than the thing they should be getting paid, but sometimes they're getting paid a bit more. And the reasons for those are purely historic, right?
130
00:17:25.716 --> 00:17:32.036
Like, every case is a bit different, but they're self-correcting. And so I think that's like the ideal spot to go, I guess, as far as, as transparency goes.
131
00:17:32.066 --> 00:17:40.216
And I think internally, actually, we share with people they know which of the rows, you know, as far as, like, they know they're a senior software engineer, right?
132
00:17:40.256 --> 00:17:49.256
They know they're a level three, and they know their peers are as well. They know for themselves whether they're maturing, performing, exceeding. They don't know if their peers are maturing, performing, exceeding.
133
00:17:49.396 --> 00:17:57.856
Part of that is really awkward, right? You know, Fred's maturing. Yeah, what does that mean? So the person knows and the managers know, but it's not broadly known outside of the organization.
134
00:17:57.906 --> 00:18:04.456
And so you don't actually know what Sarah or Fred are getting paid because it is going to be somewhere in those three numbers within that row.
135
00:18:05.076 --> 00:18:09.936
And that, that does give people some privacy, I guess, as far as what their income is. Yeah. Yeah. And that makes sense, right?
136
00:18:09.976 --> 00:18:18.056
That's a, a relatively personal thing in the sense of you're on a, a personal performance trajectory. It makes sense that that's something that's kept between the, the leader and the individual.
137
00:18:18.136 --> 00:18:26.336
Um, what's it done for those conversations, though? Like, as a manager, I'm imagining that that has just made these conversations infinitely easier.
138
00:18:26.396 --> 00:18:35.736
If you think about, you know, and you've worked in, in other companies before- Yeah. -where you maybe haven't had the level of pay transparency or even the level of definition around pay practices or pay philosophy.
139
00:18:36.196 --> 00:18:45.928
What's it done for you if you contrast the experience here with the, the, the experience there in terms of those conversations and the ease with which your managers and people are having them?Yeah, I mean, there are some downsides.
140
00:18:45.988 --> 00:18:50.548
We can talk about, I guess, some of the challenges that do come with it, but I'd-- but it is very much mostly upsides, I would say.
141
00:18:50.948 --> 00:18:59.428
If I go back to before Octopus, I worked for a consulting company for a while, and, you know, within that company, uh, I don't think they really had that systematic of an approach to compensation.
142
00:18:59.558 --> 00:19:08.908
And generally, you know, and you find this in every role, you know, there are people who feel confident asking for a higher salary every year, every six months, and there are, there are people who don't.
143
00:19:08.948 --> 00:19:19.928
There are people who just sort of silently get on with the work and sort of assume that they'll be rewarded over time, and that, that was me, and that strategy worked well for me over time, but it doesn't, doesn't work for everybody, and certainly it's easy to create systems where people are overlooked.
144
00:19:20.348 --> 00:19:25.408
And then even when it does, when you say, "Hey, I, I think I should be getting paid more for this role. I've matured a lot in the last few years."
145
00:19:25.428 --> 00:19:30.228
They kinda just throw a number at you and like, "Is that enough to kinda get you to go away?" And actually that, that doesn't really satisfy me.
146
00:19:30.388 --> 00:19:38.998
You can actually give me a lower number if you help me understand how you got to it and it feels fair. Like that's... And so, and if I contrast that to like I think the manager experience at Octopus, right?
147
00:19:39.068 --> 00:19:48.227
So someone comes and says, "Hey, manager, I've, I've been here for a couple of years now. I think I should be getting paid more." Well, you can deconstruct that question. You can say, "Why do you think that?
148
00:19:48.348 --> 00:19:57.808
Do you think because the market for your role has changed in the wider market? Are you seeing job offers? Are you seeing friends doing the same role who are being paid more?"
149
00:19:57.848 --> 00:20:04.048
Because that's data that our people team would really like to know because they can factor it in when they do their benchmarking rounds next time, right? Yeah.
150
00:20:04.768 --> 00:20:12.368
So that's half of the reasons why you might think you deserve a, a pay rise, just because the market is booming for your role. And the other half is because, no, I'm doing different things, right?
151
00:20:12.698 --> 00:20:20.948
I was doing this, and now I'm doing that, and so I'm a senior, and I should be paid more. Well, we've got fairly well-written criteria for what's involved in those things. Let's go through them together.
152
00:20:20.988 --> 00:20:25.748
And you know what? Actually, I agree. Six months ago, I wouldn't have said yes on this dot point, you know, this dot... You know, now you can.
153
00:20:25.828 --> 00:20:34.128
So yep, let's go and make that case, and we do performance review cycles every six months to pick up, you know, those, those kind of things, 'cause it's really important that people aren't languishing for too long.
154
00:20:34.648 --> 00:20:42.268
So that's a really powerful thing for managers. It, it puts the benchmarking problem to the people team because they can spend the time doing that.
155
00:20:42.278 --> 00:20:51.988
And for a manager, generally my focus is on the people I've got and the expectations they have and the career pathways they want, and are they meeting it, and it's those two things combined that's producing the number they're getting paid.
156
00:20:52.008 --> 00:21:00.288
It's, it's one less thing to worry about, right? So often managers are, are left scratching their heads around pay decisions and, and having to try to justify them to their people.
157
00:21:00.348 --> 00:21:08.508
This takes a lot of that out of it because they've got the context behind what a pay point constitutes because the language is there. But then also it's just a point and it's not a band.
158
00:21:08.518 --> 00:21:18.488
And so now suddenly it's, it's very linear in that sense. Yep. Yep. And it also gives everyone a sense that it's happening fairly as well, which I think is actually the most important thing in this whole space.
159
00:21:19.348 --> 00:21:28.128
Now, the, the managers do have to be prepared for other questions, though. So for example, because we share the salary tables for all of the roles within Octopus, right?
160
00:21:28.138 --> 00:21:34.548
And so you can go and see, uh, what does the job band for IT look like? What does the job band for marketing look like? They're all different numbers.
161
00:21:35.228 --> 00:21:42.757
And we can kinda maybe talk philosophically about, you know, why that should be the case or why it is the case, whether it should be or not, but, um, they're different.
162
00:21:42.788 --> 00:21:50.968
And so the manager actually has to be prepared to explain that. Do we pay designers differently to engineers? Do we pay product managers differently to engineers? Why do we do that?
163
00:21:51.068 --> 00:21:53.828
But they can also lean on the people team who can provide some of that explanation.
164
00:21:53.928 --> 00:22:04.648
So before we had this conversation, you shared with me the compensation philosophy, which I think was seventy, uh, seventy pages of a, of a slide deck, but again, it went into such nuance and intricate detail.
165
00:22:04.768 --> 00:22:13.648
Have you found that being able to go to that length has, has made those conversations easy because they can speak to, to, to the nuance there in the, in the background? Definitely.
166
00:22:13.708 --> 00:22:21.648
Because everyone in your organization has joined with different context, right? They're all different people. They all went to different schools. They all have different politics.
167
00:22:21.688 --> 00:22:27.768
They all have different lived experiences. They've worked at different companies. And so what you have is this melting pot of people with different experiences.
168
00:22:27.798 --> 00:22:36.868
And most, I guess, the way a lot of people and HR practices work, the sort of default way that a lot of companies do kind of stuff, and so people assume that's how it must work here as well.
169
00:22:36.948 --> 00:22:47.097
And this is an area that people do care a lot about. Particularly they care about the fairness, I would say, of it a lot. We, we've always operated under this philosophy of we're hiring really smart, talented people.
170
00:22:47.608 --> 00:22:56.438
And so you're hiring these smart people, you need to trust them, and not because they earn the trust. You should sort of default to offering a really high level of trust as they join and leaning in on that.
171
00:22:56.448 --> 00:23:03.868
And so part of trusting people is trusting that you can... That they are worthy of being given an explanation of why something is the way it...
172
00:23:03.887 --> 00:23:12.108
Like, I don't know if you have kids or not, but, like, the argument of, like, "Because I said so," it doesn't work on toddlers, right? It doesn't work on adults, certainly, and not in a workplace.
173
00:23:12.328 --> 00:23:22.738
So for us as a company, in every decision we've made, every controversial decision and, and even a lot of the basic decisions, we assume our people are worthy of us taking the time to explain to them.
174
00:23:22.748 --> 00:23:31.728
And it may not be the explanation they want to hear. It may be different. They may think we should do something different. But we assume that they're worthy of hearing that, and we lean in on that, and we overexplain.
175
00:23:31.748 --> 00:23:34.108
You know, here's, here's why for the people that care about it.
176
00:23:34.348 --> 00:23:41.248
And, and then what's powerful about that is if there is something we could be doing better, we get to have a conversation around that that's really well informed.
177
00:23:41.268 --> 00:23:48.898
The most frustrating thing is when you've got this gap between what the company thinks it should be doing and what the employees think it should be doing, and employees are angry at the company 'cause they...
178
00:23:49.188 --> 00:23:51.348
the company should be doing something different, but it's without context.
179
00:23:51.368 --> 00:23:57.168
They don't really understand the nuance of it, and that's because you haven't explained it to them, and you haven't assumed they can understand the explanation.
180
00:23:57.228 --> 00:24:06.248
So we really lean in on explain everything, and then if we're doing something wrong, let's have really constructive conversations around the reality of the thing we're doing, not, not the sort of thing that you perceive that we're doing.
181
00:24:06.428 --> 00:24:11.348
So that, that's where the transparency matters a lot too. So defaulting to trust. I really liked...
182
00:24:11.368 --> 00:24:20.888
And actually reading through the comp philosophy, what I loved about it is that throughout key sections, you actually just ask the question, "Does this make sense? Do you align with it? Do you have any questions?"
183
00:24:20.928 --> 00:24:30.208
And I think something that I often see in conversations around compensation is that a lot of companies and, and, and people within them presumably are trying to be all things to all people.
184
00:24:30.248 --> 00:24:40.258
As a company, you need to pick who it is that you want to employ and, and bring along on your journey and, and tailor and cater as much to that population. But sometimes it's gonna be to the exclusion of others.
185
00:24:40.288 --> 00:24:47.788
And presumably you've had people who have gone, "Actually, I don't agree with how you try and pay people here." And so maybe they will opt out, and that's okay sometimes.
186
00:24:48.028 --> 00:24:55.728
Have you, have you found that as part of the journey or, or maybe just an alignment? So I think there's parts of that deck that are possibly a bit controversial that, you know, talk to.
187
00:24:55.818 --> 00:25:02.788
And I thought we'd have some people who would... 'Cause... So I guess I kind of operate under this idea that don't owe you the explanation you want.
188
00:25:03.028 --> 00:25:13.608
I owe you-The explanation that I think is accurate and, and correct, and then you can feel about it how you wanna feel about it. And if your decision is then the company's not right for you, that's okay.
189
00:25:14.348 --> 00:25:20.928
You've done great things. You'll go on to do great things elsewhere. We'll go on to be a successful company. It's totally fine, right, if we have different points of view.
190
00:25:21.068 --> 00:25:23.848
What I'm not gonna do is assume that you're not go-- that you won't understand.
191
00:25:23.888 --> 00:25:30.188
If I was to really take the time to explain a point of view to you, I'm not gonna assume that you would be disingenuous enough not to try to listen, right?
192
00:25:30.248 --> 00:25:34.268
I'm gonna assume that you will, you will try to listen and see it from my side, and, and I will do the same in return.
193
00:25:34.398 --> 00:25:42.828
And I'll assume that you're smart enough to understand where my argument is coming from, and likewise, I'd hope you do the same. So that's a really important ground, I guess, for, for the company to, to agree on.
194
00:25:42.848 --> 00:25:54.268
And so, like for example, in the deck, we talk about this question of, okay, why do different roles get paid different amounts? Why do software engineers get paid more than marketers, right?
195
00:25:54.348 --> 00:26:01.408
Because, you know, we're not hiding that. It's, it's a clear thing within the, the tables as you'll go and look at them. And, and so, you know, where does that come from?
196
00:26:01.448 --> 00:26:05.828
And we, we lay out the, the sense that our job is to hire as many people as we can.
197
00:26:06.038 --> 00:26:12.488
In order to do that, we need to make job offers that they will accept, and so it has to clear a market price, and the market price for all roles is different.
198
00:26:12.968 --> 00:26:15.828
And we actually don't want to overpay people for a role, right?
199
00:26:15.968 --> 00:26:24.148
If the software engineers are paid more than the marketers, and we go and pay the marketers what we pay the software engineers, what it means is we just can't afford as many marketers as we could otherwise have.
200
00:26:24.448 --> 00:26:32.188
And the marketers we do have are the most overpaid marketers, and so they're never gonna leave, even if they totally hate the company. So there's all kinds of bad actually things to avoid in that.
201
00:26:32.808 --> 00:26:38.478
As a company, we actually don't care what we pay the marketers or the software engineers. It's just there's a market price that we're trying to clear. Yeah, it's a reality.
202
00:26:38.478 --> 00:26:47.188
It's just the reality that we're in, and it's the reality you're in. Now, y-you as a company, you could sort of say, "You know what? We are gonna pay the software engineers the same as, as the marketers."
203
00:26:47.308 --> 00:26:54.728
I don't think it makes a lot of sense to do that, but, but you could certainly decide to do that. And your employees may say, "You know what? That is the just and right thing to do."
204
00:26:54.868 --> 00:27:03.248
But I guess my view of it is, no, that's how the economy works. That's how the market works. Our job is to build amazing products for our company. We need the most smart and talented people as we can.
205
00:27:03.348 --> 00:27:09.768
And so we're just totally up front with that. Like, "Hey, that's how we think about it. And if that's a problem, there are other companies to work for. That's okay, right?
206
00:27:10.048 --> 00:27:13.988
But at least we've been honest with you," which a lot of companies aren't. Like we've, we've been totally honest of where it comes from.
207
00:27:14.408 --> 00:27:22.068
And it doesn't come from the cabal of CEOs that get together every six months and decide how much do we pay people or something, right? [chuckles] It doesn't work that way. You're not supposed to talk about that, Paul.
208
00:27:22.248 --> 00:27:30.058
No. I said the quiet part out loud. The first rule of the cabal. [laughs] But I mean, that would never work, right? Because the first person to just be like, "Oh, cool.
209
00:27:30.128 --> 00:27:36.348
I'll just pay everyone more than what the cabal agreed," would get all the good people. So [chuckles] it doesn't... It's a market. It's a market like anything else.
210
00:27:36.688 --> 00:27:42.748
And the other part, I suppose, is you have upfront conversations around, like, how does gender kind of play into that, right? And so- Mm.
211
00:27:42.768 --> 00:27:49.737
In the philosophy of the systematic approach that we have, it doesn't matter what your gender is, you're still gonna fall within some part of that matrix.
212
00:27:49.808 --> 00:27:59.248
So you're gonna be paid exactly the same as your peers no matter what their gender is. That's really important. There's other questions around gender you can look at too. You can look at performance review time.
213
00:27:59.628 --> 00:28:04.188
Who gets the promotions? Who gets put into maturing? Do people linger in maturing longer?
214
00:28:04.368 --> 00:28:11.048
If we look at the sort of outcomes of performance reviews from a low result to a high result, where do they tend to fall as far as gender goes?
215
00:28:11.448 --> 00:28:20.208
And if all of those things are sucking really well, then you know you've got a system that is fair and just, it is doing the right thing. But then there's a reality of like, we hire software engineers.
216
00:28:20.708 --> 00:28:31.088
The, the broader talent pool for software engineering isn't fifty/fifty male, female, right? Like it, it just isn't. It's a very long way from that. And so what's our obligation in that world?
217
00:28:31.208 --> 00:28:38.308
Is it to get to fifty/fifty engineers, you know, that are, that are male or female? No, that doesn't, that doesn't make sense, right?
218
00:28:38.568 --> 00:28:44.928
But but at the same time, if the broader talent pool is like twenty percent, then if we're five percent, we must be doing something wrong as well, so- Yeah, there's a problem there.
219
00:28:44.968 --> 00:28:48.228
So as a company, you know, we just lay out, this is the philosophy, this is how we think about it.
220
00:28:48.648 --> 00:28:55.388
If you think it's wrong, then tell us, but we get to have a constructive conversation and learn something from each other around how it can be improved.
221
00:28:55.478 --> 00:28:58.148
'Cause there's definitely parts of it we're thinking of tweaking and, and improving on.
222
00:28:58.348 --> 00:29:06.388
But they get to be concrete things about the real thing you're doing, not what people think you might be doing based on what their old company did. Yeah. Yeah. I, I agree.
223
00:29:06.448 --> 00:29:25.508
And I think I'm keen to wrap that up as well into the, the topic of pay points versus pay bands, because I think, you know, certainly again, my experience, the people that are prepared to negotiate, and it's just a, it's just an inherent part of our society, um, in a, in a lot of different places, is that when they get to the stage of offer, a lot of people feel prepared and, and, um, negotiation is just a, a step in the road.
224
00:29:26.108 --> 00:29:34.138
You've got pay points which presumably eliminates that entirely. How have you found that approach? Because another thing that I, I get from a lot of...
225
00:29:34.268 --> 00:29:39.268
whether it's founders or heads of people, is that they want flexibility in their pay structures.
226
00:29:39.688 --> 00:29:48.048
Now, you already aim to pay generously, so presumably when you're speaking to a lot of candidates, they're probably not seeing the same maybe caliber of offers in the market.
227
00:29:48.108 --> 00:29:56.958
But how have you navigated the, the elimination of negotiation, if you have? So again, it's a-- there's a way you deconstruct that, right? So someone...
228
00:29:57.068 --> 00:30:06.288
So you say, like, through the interview process, we've assessed that we think you're a senior software engineer. We don't think you're a lead. We think you're a senior. Within that, we think you're performing.
229
00:30:06.418 --> 00:30:12.968
Like, we're pretty confident if you join within the first six months, as you learn stuff, you'll be performing. We don't think you'll be meeting what we expect of exceeding.
230
00:30:13.408 --> 00:30:23.248
So this is where we've placed you, and this is the number, right? Um, by the way, like the number, we, we do vary it by country that you're in, so it's not quite like one number.
231
00:30:23.448 --> 00:30:28.588
You know, if you're in the United States, you'd get paid differently. But I said this is the number, and that's the number we, we give when we offer.
232
00:30:28.988 --> 00:30:34.918
Now let's say that number is a hundred and twenty-five thousand or something. And, and they say, "Look, I, you know, I wanna negotiate that up. I think it should be one thirty. I think it should be one forty."
233
00:30:34.918 --> 00:30:40.308
It's like, where is that coming from? Is it coming b-b-from actually you think you could be a lead?
234
00:30:40.928 --> 00:30:50.308
Is it coming from you agree with us that, you know, you're kind of more within this senior, this is the set of dot points, and this is where you fit, but you're just seeing offers out there that are better?
235
00:30:50.368 --> 00:30:57.808
We wanna know about that, right? And in fact, there was a year a few years ago where engineering salaries were just ratcheting up like crazy. It was...
236
00:30:57.848 --> 00:31:01.318
And so the, the people team at the time were making offer after offer.
237
00:31:01.508 --> 00:31:13.247
Usually, we're making offers and probably out of every five offers we make, three of them, four of them get accepted.Uh, and then suddenly we have six months where we're making six offers, and one of them is getting accepted, and the rest are all saying, "It's too low.
238
00:31:13.288 --> 00:31:21.868
It's ten grand off. It's twenty grand off," you know, other offers that I'm getting. Uh, you just sort of say, "What are you doing, guys? We've got benchmarking data. Benchmarking data is helpful.
239
00:31:21.908 --> 00:31:29.948
That's-- that helps us get to a number, but we are in the market. We are-- have-- we are hiring for these roles, and the market is telling you something. The market is telling you that the price of this role has gone up.
240
00:31:30.908 --> 00:31:39.168
Up it. [chuckles] Up the offers we're making to people, right? That's where the flexibility comes from. But be prepared. You can't just hire someone doing the same role and pay them more.
241
00:31:39.208 --> 00:31:45.408
You have to go and do it to everybody else." Yeah. I was gonna ask you about the knock-on effects. If you were to say, "Oh, we can't...
242
00:31:45.428 --> 00:31:50.088
We can only offer this extra salary to this person 'cause we're hiring them, but we can't afford to do it for everybody else."
243
00:31:50.628 --> 00:31:56.488
If you can't afford to pay them what the market says they're worth, you can't afford to replace them, right? It's gonna take way longer to replace them.
244
00:31:57.248 --> 00:32:05.478
Actually, in every role we have, engineering, sales, like there's such a long ramp time for people just getting productive within our company that it's a completely crazy way to think.
245
00:32:05.478 --> 00:32:10.528
Pay that difference over and over and over before they've even become effective in their roles, right? Yeah. Yes.
246
00:32:10.698 --> 00:32:20.508
And so even from a budgeting point of view, you might have a finance team that's like, "Oh, but the knock-on effect of meeting these higher than expected salaries is, is gonna be this." Well, tough.
247
00:32:20.998 --> 00:32:22.018
[chuckles] That's what the market's telling you.
248
00:32:22.288 --> 00:32:34.788
And in fact, if you have a compensation philosophy like we do, which is we are trying to pay at a certain percentile of the market, and the market is changing, it's not a philosophy if you only stick to it when it suits you, and you abandon it when it doesn't, right?
249
00:32:34.868 --> 00:32:41.808
That, that's just wrong. So you have to say- And it's damaging to trust, right? Like we talk about how much this, something like this can build trust. It completely undermines it. This can totally undermine it.
250
00:32:42.188 --> 00:32:46.928
It totally undermines it. And so whereas actually then when you go and do it and you say like, "Hey, uh, Fred, guess what?
251
00:32:46.988 --> 00:32:54.108
You just got a pay rise because we've been hiring software engineers lately, and they all seem to be getting paid more." Yeah. Like, how does Fred feel about the company? Like this is, this is incredible.
252
00:32:54.188 --> 00:33:02.908
You've just probably retained- Yeah. -Fred for a really long time, right? Because not 'cause of the money, but because the trust and now he knows, you know, that you're, you're looking after them. Yeah.
253
00:33:04.068 --> 00:33:10.368
And so how often do people have to advocate for themselves to do that? And whether they feel prepared to or not or confident to or not is a, is a whole another thing.
254
00:33:10.428 --> 00:33:17.507
So the fact that you've completely taken it off the table for them and just come to them and said, "Hey, here's what we're paying others that are doing a commensurate level role. Congrats.
255
00:33:17.548 --> 00:33:22.848
Here's, uh, an increase to reflect your value to the company." Just, yeah. Yep. It's a huge boon to those people.
256
00:33:23.348 --> 00:33:30.288
It's also like psychologically, I guess, you know, when, when people are negotiating salaries, partly it's because, like they have a low level of trust in companies.
257
00:33:30.328 --> 00:33:36.768
They think companies are just trying to pay them as- Yeah. -little as they can get away with, and so they feel like they have to advocate for themselves. It's the same zero sum, right? Yeah, exact-exactly.
258
00:33:36.848 --> 00:33:42.068
So why not, you know? If, if, if you're not gonna advocate for yourself, who's going to? That's a very valid, you know, line of thought.
259
00:33:42.328 --> 00:33:48.008
The other part is like sometimes people, you can tell, like they actually don't want to negotiate, but their partner or somebody is like pushing them to do it.
260
00:33:48.077 --> 00:33:56.618
And so there's like a, you know, they have to be seen to be negotiating for themselves. That can sometimes be like a, a bit of a role. But again, like showing them like, "Hey, you know, we are paying you this.
261
00:33:56.648 --> 00:34:04.748
This is the benchmark data that we've got that goes into it. It's a very, very fair offer. It's what we pay all the other people doing the same role." That can make you feel very comfortable even to think.
262
00:34:04.828 --> 00:34:09.368
It can convince your partner who has a stake in this. And if it doesn't, it doesn't. There's other people out there, you know.
263
00:34:09.428 --> 00:34:15.248
So unless you're hearing it over and over again, and then in which case your benchmark is wrong. Which is a, is a key point, right?
264
00:34:15.288 --> 00:34:23.228
Is that, you know, benchmark data only gets you so far, and then it, it is a lagging indicator. It's something that was what people were paying whenever they conducted the survey. Yeah.
265
00:34:23.238 --> 00:34:28.088
So the fact is, is that those who are in the market and accepting offers now may be on a very different salary, and so- Yeah. That's right.
266
00:34:28.128 --> 00:34:40.778
-I think it just talks to that partnership that, you know, if you're ahead of people, it's about making sure that if you do have someone who is focused on salaries and developing them based on surveys, that they are also speaking to their, the talent acquisition team and understanding- That's right.
267
00:34:40.778 --> 00:34:48.438
-whether or not those offers are being effective. 'Cause if you're not, then you're just not gonna have the talent. And to the managers within those roles too, uh, like if you're an engineering manager at Oxalys- Yeah.
268
00:34:48.438 --> 00:34:53.408
-you should kinda have your ears to the ground as far as, you know, what's going on in the, in the talent market. That's really important.
269
00:34:53.468 --> 00:35:03.388
Now, you, you will get like the anecdotal stuff you'll hear is like people will always tell you, "Oh, I've got a mate who's being paid more for this thing," but they don't tell you about the other five mates they've got that are being paid less for it, right?
270
00:35:03.428 --> 00:35:11.348
So you have to be thoughtful. And really the test is pick the number that you're offering to people. If they're accepting it, you're probably fine. You're probably clearing market, you know.
271
00:35:11.388 --> 00:35:18.488
And the same actually, when you get a benchmark and the benchmark says the role for this is this, and it's massively different. You've just hired three people to do that thing and you had no trouble.
272
00:35:18.908 --> 00:35:24.728
None of them complained about salary, then you're probably doing fairly right, you know. Yeah. No, that's really cool.
273
00:35:25.528 --> 00:35:34.648
What are, what are some of the tips that you would share with founders or, or some of the incentive behind doing something like this? Why, like, why should others think about following in these, these sorts of footsteps?
274
00:35:34.668 --> 00:35:44.268
Or what would you say to them to, to convince them? Yeah. I mean, I think some of these, some of these laws, they definitely come from a good place. And, and they probably do work to the degree that, like if you...
275
00:35:44.458 --> 00:35:48.528
a-and we've done this, you post a job ad for a range that's higher than what you're currently paying people.
276
00:35:48.588 --> 00:35:58.508
People are gonna see that, and you're kinda silly to think they're not going to see it, and so you better be prepared to answer why. Um, that, that was before we, we had a system like this. Um, but I, I...
277
00:35:58.568 --> 00:36:05.868
you know, people game them, right? So you'll see a job ad and it's like, "Oh, the range for this is, you know, anywhere from eighty thousand to two hundred and fifty thousand." Well, that's- Yeah. -ridiculous. You know?
278
00:36:06.128 --> 00:36:07.248
Pointless. So that doesn't do anything.
279
00:36:07.558 --> 00:36:17.948
No, I think actually if anything, the internal transparency is way more important than what the transparency that you're showing on the job ad, but it, but it does, it does, it does, it does kind of matter.
280
00:36:18.248 --> 00:36:29.488
Let's say, you know, as a founder, you started a company because there was a problem in the world that you wanted to solve or you wanted to paint, you know, your creative abilities in a, in a way that people could experience and admire.
281
00:36:29.598 --> 00:36:35.468
And so there's a whole bunch of reasons you started a company. Chances are HR policies probably wasn't one of them, right?
282
00:36:35.568 --> 00:36:45.407
It's like of all the things you have to deal with as a CEO, it's probably not the thing that gets you out of bed, particularly because, you know, it's a touchy subject, it's an emotional subject, you know, all of, all of these kind of things.
283
00:36:45.588 --> 00:36:55.888
And so as a result, I think what most founders do is sort of try and make it someone else's problem, or they just kind of wing it, and they don't put any sort of systematic thought into it. Um, or they're just really...
284
00:36:55.928 --> 00:37:00.588
they don't really want the conflict that sometimes comes with being transparent. They overthink. Like if we're...
285
00:37:00.628 --> 00:37:05.228
when we do-- when we share the benchmarks internally, some of these benchmarks are really wide-ranging, right?
286
00:37:05.268 --> 00:37:13.008
Like I said, you know, junior engineers where the percentiles kind of beat senior engineers just 'cause that's how the data collection happened and the sample size is small.
287
00:37:13.028 --> 00:37:18.558
And so you share something like that internally, of course you've got to be prepared for someone to ask the question like, "Well, the thing says this.
288
00:37:18.588 --> 00:37:24.100
Why are we only paying this?"And you've got to be prepared to answer that, and people don't want that conflict sometimes, I suppose.
289
00:37:24.820 --> 00:37:39.520
But I can tell you being systematic, being thoughtful about this stuff and getting it out there, it actually the amount of time that we now spend worrying about stuff, it's not like, "Brett asked for a pay rise, and I don't know if I should give it to him.
290
00:37:39.780 --> 00:37:46.140
You know, what's, what's Jodie going to think about that?" It's just there's a system, and you just follow the system, and if you're getting enough feedback, there's something not right with the system.
291
00:37:46.200 --> 00:37:51.040
You fix the system. It's actually super powerful. And again, people care about the fairness more than anything.
292
00:37:51.100 --> 00:38:01.390
So if you lean in on being more transparent than you're comfortable with, assume that everyone on your team is smart enough to understand your explanations of stuff, and if they haven't understood it, you probably haven't explained it very well and just keep trying.
293
00:38:02.000 --> 00:38:13.100
Accept that you're probably not going to make everybody happy, but you owe them an explanation. Um, understand that it's the fairness part that probably matters more. You know, they would be the tips. Yeah.
294
00:38:13.220 --> 00:38:22.300
I think you touched on a, a critical point, which is that n-by not having a system, as a founder, this is a topic that is, is definitely on people's minds all the time.
295
00:38:22.690 --> 00:38:33.060
And by not having a basis or, or a grounding in which your people can speak about or understand how it's done, it's occupying time that could be spent focused on the job and delivering outcomes to-towards your mission.
296
00:38:33.580 --> 00:38:37.980
Um, but it's also taking up time with your managers. It's taking up times of your, your head of- Yeah... uh, people.
297
00:38:38.040 --> 00:38:44.160
It may even be taking up your time because it's, there's no basis for which these decisions are being made. And so, you know, it just makes all of that a lot harder.
298
00:38:44.360 --> 00:38:51.780
And, and that's the tip of the iceberg that you're seeing 'cause the bottom part of the iceberg is like the gossiping that's happening around things, the sort of assumptions people are making. Like, all...
299
00:38:51.820 --> 00:38:59.760
There's all this sort of untapped productivity that comes from people wasting time feeling like they're being treated unfairly when maybe they're not. Like we said, yeah, that's kinda worst outcome, right?
300
00:38:59.830 --> 00:39:04.520
'Cause if you're treating everyone unfairly, at least you kinda get to pocket the difference, but you don't, [chuckles] you don't even get that.
301
00:39:04.580 --> 00:39:12.860
So one thing I'm really proud of within Octopus, so like I said, we're three hundred people. We've been going for like twelve years. We've never had an employment tribunal issue.
302
00:39:13.120 --> 00:39:25.080
We've never had to involve lawyers in any kind of employment thing. It's super squeaky clean. And, and the thing I would attribute that to is we just treat people well. We treat them like humans, right?
303
00:39:25.120 --> 00:39:31.000
We don't give them reasons to be upset about things that we do because we try and conduct ourselves well, you know? That's a great point.
304
00:39:31.060 --> 00:39:36.260
It's, it's a, it's a solid risk mitigation for, for those sorts of, you know, compliance issues. Yeah.
305
00:39:36.280 --> 00:39:53.440
Like p- HR, this is my biggest, like, bugbear, I suppose, with traditional HR, particularly, um, leaders, is this feeling the company gets that the people team, the H, you know, the rebranded HR team, let's say, is here to protect the company or is here to kinda toe the line on company policies.
306
00:39:53.620 --> 00:39:58.680
It just doesn't, it doesn't work anymore. Like, it probably never really worked, and it, it definitely doesn't, it doesn't work now.
307
00:39:58.860 --> 00:40:03.740
What the people team is here to do is make sure that we are living up to all of the things that we've said we would, right?
308
00:40:03.800 --> 00:40:10.860
Like, if, if this is the philosophy, this is the conversation, this is how we think people should be treated, the people team's job is to help ensure we are living up to that.
309
00:40:10.900 --> 00:40:19.900
And o-often that is actually siding with the people rather than siding with management because management's got thick skin, we can take it, but people need help. So that's what the people team has to focus on.
310
00:40:19.940 --> 00:40:25.240
If you do that, you don't have problems. You don't have disputes. Yeah. Yeah. I agree completely with, with that sentiment.
311
00:40:25.260 --> 00:40:32.940
And actually it's a, it's a nice segue to sort of the last part of this, um, this interview that I'm keen to dive into, which is, you know, this, this is an audience of heads of people or chief people officers.
312
00:40:33.560 --> 00:40:39.320
You know, what... When you're a founder, you know, you're heavily involved clearly from the philosophical aspects of how this sort of stuff is developed.
313
00:40:39.490 --> 00:40:49.160
But in terms of what your expectations are, head of founder when it comes to compensation as a commercial skill set, what do you think are some of the key traits or attributes you look for there as, as the leader of the company?
314
00:40:49.980 --> 00:40:58.140
Yeah. So I think, I think one of the things you really are looking for is you want someone who has the s-- like they agree with that philosophy that, that you have, right?
315
00:40:58.200 --> 00:41:06.580
So in my case, the compensation philosophy that we have, I need a head of people who actually believes in that and wants to push, wants to, wants to make it even better than what it is, right?
316
00:41:06.620 --> 00:41:16.460
It, it can't be somebody who doesn't understand where that's coming from. Um, I think like any, any executive, if you have a people team leader, they're probably reporting to the CEO, right?
317
00:41:16.540 --> 00:41:23.180
And that's a very dangerous thing to be doing because the CEO is the unique management role in the company that actually has no clue how to manage you.
318
00:41:23.720 --> 00:41:30.630
So if you're the head of people and you hire a talent acquisition leader, you can manage them 'cause you probably did the job once upon a time. But the CEO, by definition- That's a good point...
319
00:41:30.630 --> 00:41:50.160
probably hasn't run all twelve functions of the company to, to a great degree, and so they can't really coach you on this, but they can have, they will have, and hopefully should have a very strong sense of how they want the people to be treated and what the lived experience of, like in our case, what the lived experience of Octonauts should be like at the company and what's good enough and what's not good enough, what are we not gonna stand for.
320
00:41:50.500 --> 00:41:56.100
So you have to listen to that and make sure you're, you're supporting in that, but they're not gonna be able to give you much career advice or coaching.
321
00:41:56.360 --> 00:42:06.400
You have the standard kind of executive challenge of you've got to spend as much time building relationships with the CEO, but also with all of the other people in the management team, right?
322
00:42:06.440 --> 00:42:20.060
The way we think about it is like the management team is a team that runs the company on behalf of the CEO, and secondarily, they all happen to have different functions reporting to them, but it's a team first and foremost, and so you can't just pipe up when there's a HR question, right?
323
00:42:20.260 --> 00:42:29.060
You should be just as involved in how well our marketing strategy is working or the design of our R&D organization. Like, all of those things are important, but obviously be, be respectful in those things.
324
00:42:29.650 --> 00:42:33.720
And then your team as well, right? That's the one thing that CEOs don't see, right?
325
00:42:33.800 --> 00:42:49.440
We see you as a manager and as an executive, and we see your interactions with your peers in the executive team, but unless we happen to be doing a lot of skip levels and spending a lot of time understanding all the people that are reporting to you, it's actually really hard to get a, a sense of what the lived experience of those people is like working for you.
326
00:42:49.830 --> 00:42:59.160
And so you're very much entrusted to, you know, be treating those people well and empowering them to be successful. And so obviously taking great care in that as well is really important. Yeah. Amazing.
327
00:42:59.200 --> 00:43:08.400
I love that answer. That, that's... Yeah, that's really insightful. Um, I don't, I don't have anything else to add to it. [laughs] Trying to think of something witty but nah. [laughs] Um, this has been amazing.
328
00:43:08.440 --> 00:43:16.580
This has been such a, a fascinating conversation. I really appreciate the, the time that you've taken to kinda delve into it, not only the, the philosophy itself but kinda the impacts that it's had across the business.
329
00:43:16.640 --> 00:43:25.500
You know, you're the founder of a successful SaaS company. Any key or lasting pieces of advice for, for a head of people that's, you know, that, that's wanting to join or be part of a company like yours?
330
00:43:25.760 --> 00:43:34.900
I think like all these things, it always just comes back to the basics, right? So if you're the people team leader, your job is help the company make the most of the talent in all of the people that we have.
331
00:43:34.920 --> 00:43:52.052
You know, help us to recruit them, help us to keep them, help us to motivate them.You know, and so like getting too focused on processes and systems and all of those things help, but it kind of has to come from a point of what is the lived experience of the people who are working in the company on a daily basis, particularly the people sort of at the bottom, let's say, of the organization.
332
00:43:52.732 --> 00:44:02.971
You know, like really being their advocates, listening to them, helping ensure that's how we get the most out of the people capital that we have, I suppose. That's the main thing, right? That's the thing that will...
333
00:44:03.032 --> 00:44:07.252
If you can kind of keep that at the core of every single thing that you're doing every single day, you know, that, that will go a really long way.
334
00:44:07.582 --> 00:44:21.012
And yeah, like lean in on transparency too, and I don't think it comes-- Actually, like HR is probably one of the roles that struggles with transparency the most 'cause like by definition, if, you know, Fred has made an accusation about Bob, that's not going on the public intranet, right?
335
00:44:21.072 --> 00:44:26.552
Like that's an HR case, so we're gonna deal with it in a particular way. And, and like pretty much every document HR creates is a private document.
336
00:44:26.572 --> 00:44:36.092
And so like, like they default to a really low level of transparency almost as a... That's how they're trained, you know. But actually, like transparency matters a lot. Yeah.
337
00:44:36.172 --> 00:44:41.842
As a profession, I think it's, it's been born out of confidentiality being a cornerstone of, of what they've done, and so I think that's transitioned.
338
00:44:42.452 --> 00:44:52.872
Personally, that's part of the reason why I think a lot of companies have been slow to, to adopt pay transparency practices even though you look at the legislation that's coming in, you look at early career people.
339
00:44:53.012 --> 00:44:57.312
I mean, it's not... It's a big topic for them. They, they will tell you their salary gladly. They'll speak about it openly.
340
00:44:57.372 --> 00:45:04.302
Um, but I think again, because we're a function that is emerging from that kind of back office confidential policies, that sort of approach. Yeah.
341
00:45:04.332 --> 00:45:13.292
Personally, that's why I think we've, we've seen a, a thoughtful adoption. You're totally right. Like that's the reality, and it's a good thing. Like you should assume that people are talking about this stuff.
342
00:45:13.372 --> 00:45:20.412
Even if you put in their employment contract that they're not supposed to talk about salary or something, I mean, that's just asking them to talk about it even more, right? Assume that they are.
343
00:45:20.432 --> 00:45:25.952
Like really assume they are. M- How do you make those conversations really positive then? Like this is the way to do it.
344
00:45:26.072 --> 00:45:36.352
Be open and transparent so that if people are talking about salaries, it's coming from a, "Gosh, aren't, aren't we lucky to work for a company that, you know, treats us like humans d- worthy of respect and, you know, does the right thing by us?"
345
00:45:36.412 --> 00:45:44.152
Like make that an asset, the fact that they're talking about it, not a, not a sort of liability that you're trying to hush. Yeah. Yeah. One hundred percent agree. Amazing.
346
00:45:44.232 --> 00:45:51.622
Um, before I wrap up, are there any other aspects of this that you want to dive into? I, I... We were in the news a little while ago for like gender pay gap stuff. Yeah.
347
00:45:51.672 --> 00:46:00.312
It was like a giant hornet's nest that I went and hit. Yeah. [chuckles] So like, and I, I don't... I'm actually like happy to, to talk about it.
348
00:46:00.532 --> 00:46:10.472
So let me, let me start by saying so, you know, within Australia, so for those who aren't familiar, we have the Workplace Gender Equality Agency, um, and they, uh, just this year have released the gender pay gap.
349
00:46:10.552 --> 00:46:22.712
So the, the unadjusted, uh, gender pay gap for companies in Australia with more than a hundred employees. And so, um, I'd love to understand your experience through that process.
350
00:46:22.952 --> 00:46:34.652
Um, uh, talk to me a bit about what you think that number represents and, and, and how that could be helpful and maybe less helpful for companies in terms of how they, uh, position it as part of their, um, DEI strategies.
351
00:46:35.472 --> 00:46:45.032
Yeah. It's... I, I think it's a very well-intentioned, uh, thing, but it, it has come with some challenges, and so... And, and they're gonna be different, right?
352
00:46:45.082 --> 00:46:51.972
Like, so when I say that, you might sort of, uh, jump to a particular conclusion about where I'm, where I'm coming from in that, but I'll, I'll try to sort of explain my, my thoughts.
353
00:46:52.812 --> 00:47:02.012
So, um, so the way, the way it works is we're taking all the male salaries, we're taking all the female salaries, we're averaging them up, and then we're looking at the difference between those two things.
354
00:47:02.052 --> 00:47:09.472
That's, that's how it's calculated. And it's Australia only. So we report it in Australia, um, for our Australian employees.
355
00:47:09.532 --> 00:47:20.112
But if I was to take my executive team, for example, um, the three women on my executive team, they're all based in the United States, so they don't count towards the numbers that we report to, to WGEA.
356
00:47:20.452 --> 00:47:27.832
And that kind of ratchets down the organization, right? Where it just... Geographically, we just happen to have people in different countries and, and the balances are different.
357
00:47:27.872 --> 00:47:33.532
And that's not a-- That doesn't seem like something the company should be optimizing for, right? Like we want a diverse team.
358
00:47:33.952 --> 00:47:43.132
It doesn't have to be diverse in a particular country because our teams work geographically anyway, so we want to hire the most talented people, you know, that we, that we can find regardless of which country they're in.
359
00:47:43.592 --> 00:47:55.812
And so, so it has that problematic aspect for it. And the, the way someone explained this to me is like one of the, uh, the challenges with this is like
360
00:47:57.192 --> 00:48:08.572
women for a long time have been in roles that have been underpaid, um- Mm-hmm... like historically underpaid, and there's a very deep sense of unfairness towards that, as there very well, you know, should be.
361
00:48:09.452 --> 00:48:18.132
Um, particularly there's many women will point to experiences they've had working in companies with people doing the same role but being paid more for it, right?
362
00:48:18.192 --> 00:48:26.232
Like that's a visceral experience a lot of women have, uh, have had. And so it's a very emotionally charged topic and not, not for, you know, for, for good reason.
363
00:48:27.372 --> 00:48:35.612
Um, and, but the problem is then it's being rolled up into a statistic, and the statistic is then kind of being used to paint companies or their practices in a, in a, in a particular way.
364
00:48:36.312 --> 00:48:52.512
Um, that, that is important from a society point of view because it helps to drive a really important society conversation, which is, you know, there are, there are career pathways that are predominantly chosen by women and career pathways that are predominantly chosen by men, and they tend to be paid differently, right?
365
00:48:52.622 --> 00:49:00.232
Mm-hmm. And, and is that fair? That's a very good question for like Australian society to be asking and answering and having a, having a debate about.
366
00:49:01.052 --> 00:49:10.232
But then you get down into an individual company and you say like, okay, within Octopus, like I said, you know, we've got marketers and we've got software engineers and we pay them differently because that's the market that we're hiring into.
367
00:49:10.272 --> 00:49:14.552
It's the reality of the market that we're hiring into. Um, and it's driven by a few things.
368
00:49:14.812 --> 00:49:26.192
It's driven by a software engineer can write some code, and I can sell it to one customer, or I can sell it to a thousand customers. It has a huge scalability aspect, you know, of that. It's a hard role to hire for.
369
00:49:26.272 --> 00:49:34.212
There's just not as many graduates as, as the industry needs. It's a bit easier to find people within marketing. But the gender differences going to those two roles are quite different, right?
370
00:49:34.292 --> 00:49:44.460
Marketing's like fifty/fifty male/female. Um, software engineering's, you know, likeBest numbers, maybe like twenty percent, and then it, it drops too as you get further into career pathways.
371
00:49:44.500 --> 00:49:51.860
So at more junior levels, it might be higher- Mm-hmm... but it, as you get later into career, and because we work remotely, we tend to hire more on the senior end, it's, it's harder to find people.
372
00:49:51.900 --> 00:50:01.120
And so, and so then you have this challenge of like when you average those two things up, what you find is like, like if I go and look at my software engineers, male or female, they get paid the same.
373
00:50:01.300 --> 00:50:08.960
If I look at my marketers, male or female, they get paid the same. But when I add my company together, I don't have many marketers. I have a lot of software engineers. The software engineers tend to be men.
374
00:50:09.300 --> 00:50:17.980
The average skews, and so I get a negative number, you know, on, on that. And then we try and unpack it, and we say like, "What does this negative number mean? Like, what does it tell us?"
375
00:50:18.080 --> 00:50:24.340
So if, so if you were to say, like, okay, you've got this pay gap, you know, where is it coming from? There's a whole bunch of really valid questions you'd ask.
376
00:50:24.400 --> 00:50:30.940
You'd ask questions like, well, for people doing the same job, are they being paid the same? Well, firstly, like- Mm-hmm... that's not just like a WGEA thing.
377
00:50:31.000 --> 00:50:37.900
Like that's, that's been the law for like twenty- That's a law... thirty years, right? Like [chuckles] you should be doing that 'cause it's like morally right and it's reprehensible not to.
378
00:50:38.100 --> 00:50:44.130
Um, but of course, people get around it 'cause they have like salary ranges, and they sort of, ah, this person's doing a slightly different role. But like, I think- Mm-hmm...
379
00:50:44.130 --> 00:50:53.600
you've got to be much less granular than that actually to, to feel like you're doing it fairly, so. Um, you know, so there's, there's like that question. Then there's the questions around like how they get promoted.
380
00:50:53.620 --> 00:51:00.010
There's the question of how they're treated in performance reviews and, and those kind of things. Mm-hmm. Now, if you... And, and I think that's the helpful thing, right?
381
00:51:00.080 --> 00:51:10.800
You can come up with like ten questions within your company that speak to the lived experience of women versus men working within your company as far as, you know, do they get the same opportunities?
382
00:51:10.880 --> 00:51:13.410
Do they get the same promotion rates? You know, all of those things.
383
00:51:14.060 --> 00:51:20.750
Um, and if the answer to all those things is like, yes, and generally pretty good or a bit of room to improvement, you know, let's do some stuff next year- Mm-hmm... to make this particular thing better.
384
00:51:21.500 --> 00:51:28.690
Um, but you still get to a point where you have like a large gender pay gap that's just mostly driven by one role tends to be overwhelmingly male compared to other roles. Mm-hmm.
385
00:51:29.260 --> 00:51:35.700
Like I don't, I don't see that as a number that's particularly helpful for me. Um, you, you try and think like, how do I correct that, right?
386
00:51:36.180 --> 00:51:47.460
So what I could do is I could hire, um, more female software engineers at the junior level, um, because that will help get more people in, and I could do some stuff to maybe get more women to choose software engineering as a career.
387
00:51:47.480 --> 00:51:51.750
And there's probably a debate about like, how much should we be... should we be, be doing that or not? Mm-hmm.
388
00:51:51.760 --> 00:51:58.450
But like, even if we do that, that actually makes the gap worse because then we've got like still overwhelmingly male senior engineers and junior- Yeah...
389
00:51:58.460 --> 00:52:01.760
female engineers, and they're being paid less, and so the, the gap actually like widens, right?
390
00:52:02.340 --> 00:52:10.429
Um, and e-if even if you think like, okay, well, in five years, though, they'll all become senior, and it will even out, like it doesn't unless it's fifty-fifty, right? Mm-hmm.
391
00:52:10.450 --> 00:52:17.470
And so then the only way to do it is to hire fifty-fifty at the junior level, but the graduation rates aren't fifty-fifty, and so the only way to do that is to be really- Mm-hmm...
392
00:52:17.470 --> 00:52:24.420
biased in your hiring process, and that's wrong, right? You can't-- I don't think you should be able to... You should, you should do that. Bias in either direction i-i-is wrong.
393
00:52:25.400 --> 00:52:32.520
And so actually, like, then you can start to do stuff like actually, you know what? The trick is you hire just male junior engineers because that will skew the male salary down. But you don't wanna be doing that.
394
00:52:32.550 --> 00:52:33.540
[chuckles] Like that's horrible too.
395
00:52:33.620 --> 00:52:50.560
So the challenge for companies, though, is because this is such a charged topic, what it does internally, like within any company, you've got a, a group of people who care very rightly, very passionately about this, and they want to see the company living up to its potential and its obligations in this space, right?
396
00:52:51.200 --> 00:53:06.860
And so I would say, like, when you think about the systematic approach that we take to this, when I think about, you know, uh, like a lot of the stuff that the, the lived experience that women have probably had working at other companies, like it doesn't exist at Octopus because of how, you know, we're set up and, and things are structured.
397
00:53:06.980 --> 00:53:06.990
Um,
398
00:53:08.260 --> 00:53:20.940
like, uh, ideally, what you'd have then is like those people who care a lot about this topic would really understand what you're doing, would feel really proud of the good stuff that you're doing, and would be telling you for the areas you can improve on, right?
399
00:53:20.960 --> 00:53:29.220
And advocating for those specific areas where like, "Hey, we're doing really good at, you know, these nine things, but this tenth thing, like that's a room to improve." That's where you'd have people engaged.
400
00:53:29.670 --> 00:53:36.429
The challenge, though, is when you get a number like the WGEA report that gives you a big negative number, and you get a bunch of press and stuff around it like, like we had for a while- Mm-hmm...
401
00:53:36.460 --> 00:53:45.350
is like internally, those advocates, they feel a real cognitive dissonance 'cause like, well, I think the company does everything right, but like everyone's bashing it, so you know, maybe we must- Yeah...
402
00:53:45.350 --> 00:53:49.350
be doing something bad. And they actually just disengage, is what we found through that process.
403
00:53:49.370 --> 00:54:08.800
So those people who sort of cared about this topic the most actually became like the least vocal 'cause they were struggling, I think, with that, with that cognitive dissonance and, you know, they care about the people who are outside the company who are not informed about what we're doing, you know, being quite vocal about that, and the people inside sort of didn't wanna, you know, uh, be caught in the middle, right?
404
00:54:08.860 --> 00:54:13.780
Let's say. And so-- and I think that was actually like a bit of a setback. We, like i-in terms- Mm-hmm...
405
00:54:13.790 --> 00:54:22.640
of people who care about this topic actually being able to really engage and constructively help the company, you know, get better as, as we always have room to improve, so. That, that was a bit of a long answer.
406
00:54:22.880 --> 00:54:23.840
I think it's...
407
00:54:23.940 --> 00:54:35.560
No, but, uh, it's, it's really great to hear, you know, from the inside how, how companies face that challenge, and I'm hearing, you know, A, is the fact that it, it is this kind of signposted number that does get put out there, which does affect your employer brand.
408
00:54:35.600 --> 00:54:39.590
I think you'd be crazy not to think about how it impacts people that are considering working for your company.
409
00:54:40.240 --> 00:54:46.940
Um, but I'm hearing that it's also, it's impacting the advocacy that your people in the company have as well and, and maybe quietening them down.
410
00:54:47.370 --> 00:54:55.720
It's so interesting to, to hear it from the perspective of, okay, well, yes, it does only take into account the Australian population, and so for global companies, that can be quite, um, quite a challenge.
411
00:54:56.360 --> 00:55:02.760
Um, and then it's, you know, the, the question around, well, what can you do to, to change that on a societal level?
412
00:55:02.800 --> 00:55:12.080
And, and what are the things or the compromises or, or maybe biases that you have to implement or things you have to do to be able to, to achieve that kind of golden ratio that people are, are looking...
413
00:55:12.220 --> 00:55:16.160
There's-- I think there's a whole conversation here. It's, it's, it's such a deep and, um,
414
00:55:17.180 --> 00:55:22.840
topical area 'cause, I mean, you can go into things like, well, you know, how do you look at internal mobility into some of those areas?
415
00:55:22.880 --> 00:55:31.700
You know, there's, there's people where you might say, "Well, would you be an advocate for, you know, raising the, the average salary for, for those female-dominated, um, professions?"
416
00:55:31.740 --> 00:55:37.199
There's a whole range of ways in which on a purely number basis you can look at, um, look at adjusting it.
417
00:55:37.220 --> 00:55:46.320
But, um, yeah, I think regardless, it's, it's really fascinating to hear what that journey and, and experience has been for, for your company. Yeah, like, and we, we definitely took it like really seriously, right?
418
00:55:46.360 --> 00:55:54.290
Like as, as even before they were publishing the numbers, like we, we would look at it, and we would ask these questions, though, internally around like, "Okay, what does this mean? What is this telling us?"
419
00:55:54.360 --> 00:56:03.548
Because we've set up a system that should be really fair, that shouldn't have these kind of issues. Mm-hmm.Um, so, you know, what can we, what, what can we learn from this? And I think we, where we got a bit
420
00:56:04.468 --> 00:56:12.798
disillusioned, I suppose, was, was sort of like chasing answers to the question. We're kind-- So you, you come up with all these hypotheses, right? And they all start from a fairly dark, negative place- Mm-hmm.
421
00:56:12.828 --> 00:56:14.328
-about bad things the company must be doing.
422
00:56:14.828 --> 00:56:22.548
And as you sort of disprove each of them, though, it's kinda really hard to shake like, oh, but negative seventeen, negative twelve, you know, whatever the number is, is, uh- Mm-hmm. -is a thing. Yeah.
423
00:56:22.768 --> 00:56:31.488
The geographical part is real 'cause you also have, like in our case, most of the people we have within Australia are in R&D, right? So it's like really engineering-centric.
424
00:56:31.528 --> 00:56:37.908
Whereas like my marketing team i-is only like a third of it is in Australia, the rest is in the US and the UK 'cause that's where the customers are. Yeah.
425
00:56:37.988 --> 00:56:42.428
So like it skews, you know, even further, like in, uh, in those respects. So...
426
00:56:42.928 --> 00:56:55.448
I think if I was to advocate for like one thing from WGEA or from, you know, uh, folks who, who care about that, um, conversational movement would be actually, I think, getting some agreement on, like the so what, right?
427
00:56:55.488 --> 00:57:03.858
So if you say like, okay- Mm-hmm. -here's what the number is. So what? You know, what's the hypotheses behind it? What are the ten questions you could ask that would help you- Mm-hmm.
428
00:57:03.968 --> 00:57:13.808
-understand, is this just a result of how the statistics are gathered and how the career pathway gender choices shake up, or is it because of practices the company could be improving on?
429
00:57:13.858 --> 00:57:18.578
'Cause WGEA do ask about a handful of practices you have as a company. Mm-hmm. But, but like they...
430
00:57:18.708 --> 00:57:26.918
I don't think they actually do ask about, you know, of the last performance cycles, who tended to get the high scores, who tended to get... Like, there's actually a lot of really good questions you can ask in that. Yeah.
431
00:57:26.928 --> 00:57:30.388
And I think if companies- That help look beneath the surface a little bit. -were sharing that stuff...
432
00:57:30.488 --> 00:57:37.048
Yeah, and like if the answer to all those ten questions is like the company's doing really good, then you sort of don't need the negative score, and you don't need the sort of
433
00:57:38.468 --> 00:57:44.628
frustration that gets channeled, like the, the, the valid frustration people feel in this space that's being channeled.
434
00:57:45.168 --> 00:57:51.118
You know, 'cause like there's, there's definitely companies with really good scores who you know, right? Like you're in the industry, you know, like these companies have horrible practices. Mm.
435
00:57:51.168 --> 00:58:00.998
And there's companies with good practices that get bad scores and like it's a very imperfect bludgeon, I guess, to be hitting companies with. And it's like, and it's losing allies, I think, is the concern, right?
436
00:58:01.068 --> 00:58:11.208
Like people- Mm. -who care about this space are sort of getting a bit disenfranchised from it as a result. Yeah. This has been really insightful. I very much appreciate the conversation. I love talking about this stuff.
437
00:58:11.268 --> 00:58:18.928
So Paul, thank you so much for, for joining me on this. Thanks. I'm sure there's a future edition. There's about three or four other topics [chuckles] I feel like that we could tackle on this.
438
00:58:18.948 --> 00:58:28.137
So I really, really appreciate it. Yeah, sure. Thanks for tuning in to the Foundation series. Stay ahead in startup compensation by subscribing and joining our community of startup leaders.
439
00:58:28.468 --> 00:58:30.528
Until next time, I'm Matt from Foundation.