149 - It's Not You, It's Them: The Art of Being Tenacious and Not Giving Up
Women in Customer Success Podcast · 2026-02-25 · 40 min
Substance score
31 / 100
Five dimensions, 20 points each
What our scoring noted
Our reviewer’s read on each dimension, with quotes from the episode.
Insight Density
The first nine-plus minutes is almost entirely off-topic chat about art history, fiction writing, and AI-generated paintings, none of which yields actionable B2B insight. The substantive section on ageism and post-layoff job searching contains a few useful observations but they are underdeveloped and heavily padded with personal anecdote.
I love fiction writing. That is my hobby.
we put a concept into Chat GBT, and it the story it wrote was actually very, very good
Originality
The framing of older workers as lower-risk hires (fewer sick days, more emotionally resilient, less political) is a mildly interesting angle, but the ageism-in-tech observation is widely discussed and the episode never develops a truly contrarian or first-principles argument. The Scandinavian work-culture comparison is a familiar trope.
you're less likely to be unwell because you've had all those bugs when the kids are younger, so you're kind of a bit more resilient
there's this bias towards taking people maybe in their 20s and 30s into tech
Guest Caliber
Caroline Lambe is a Customer Success Manager at Contentful - mid-level, not a VP or C-suite practitioner who has driven CS at scale. Her career path is interesting but her current seniority and the lack of scaled outcomes limit the depth of insight she can credibly offer a B2B operator audience.
I was at a big tech firm and they decided to remove the whole of the customer's success function
since I I joined Contentful, two of my team have just been promoted this week
Specificity & Evidence
There are a handful of concrete data points - 400 pounds charged to Coopers and Lybrand, 30 - 40 interviews conducted, seven months in current role - but the core ageism and hiring claims rely entirely on personal impression with no metrics, company names, or external evidence cited.
We built their first website, and I think we charged them 400 pounds
I probably did somewhere between 30 and 40 interviews
Conversational Craft
The host asks a few genuine follow-up questions (e.g. pressing on what Caroline meant by the career-impact decision) and structures the conversation reasonably well. However, she contributes lengthy personal anecdotes herself, allows nearly ten minutes of off-topic digression, and never pushes back on any claim - including the unsubstantiated assertion that men found jobs faster than women.
Did you say something that it was a decision that you knew would impact your career? What do you mean by that?
I wonder when you reflect to your experience of ageism in tech, do you think it was more of probably a combination of ageism
Conversation analysis
Computed from the transcript - who did the talking, and the verbal tics along the way.
Filler words
Episode notes
Text us your questions and thoughts! What does the Renaissance have to do with customer success? More than you think. Caroline Lambie, Manager of Customer Success EMEA at Contentful, joins us to connect Renaissance breakthroughs with today’s AI rush, showing how a creative mindset can humanise products, shape better journeys, and protect the soul of the work. We explore how a creative mindset can humanise technology, from Renaissance perspective to AI, and trace Caroline’s winding path through web startups, the charity sector, and customer success leadership. Along the way, we confront layoffs, age bias, flexible work, and the value experienced talent brings to modern teams. In this episode, we talk about: Art history parallels that illuminate today’s tech shifts Fears and boundaries for AI in creative work Trade‑offs of career breaks and parenting choices Global models for flexible, family‑friendly work Surviving layoffs and a crowded job market (& tactics for sharper interviews) Spotting and countering age bias in hiring From Renaissance art to AI (yes, really), this conversation might just change how you think about innovation in customer success. This episode is
Full transcript
40 minTranscribed and scored by The B2B Podcast Index.
1 00:00:00,080 - > 00:00:02,080 SPEAKER_00: I think it also probably helps to have a 2 00:00:02,080 - > 00:00:04,879 creative mindset as well as a technical mindset because I 3 00:00:04,879 - > 00:00:08,720 think then you bring different approaches, different ways of 4 00:00:08,720 - > 00:00:12,560 thinking to using technology and maybe humanize it in a in a 5 00:00:12,560 - > 00:00:13,279 different way. 6 00:00:13,599 - > 00:00:16,000 Art itself actually had technical revolutions. 7 00:00:16,079 - > 00:00:19,039 So if you're studying the Renaissance, actually the 8 00:00:19,039 - > 00:00:23,199 introduction of perspective was seen as the huge technical kind 9 00:00:23,199 - > 00:00:24,640 of innovation of its time. 10 00:00:24,800 - > 00:00:28,879 So Giotto and some of those very early painters who started to 11 00:00:28,879 - > 00:00:32,719 paint, you know, in 3D, when we look at it now with AI and with 12 00:00:33,039 - > 00:00:35,679 virtual reality, we just think that's nothing. 13 00:00:35,920 - > 00:00:39,119 But it was absolutely groundbreaking at the time to 14 00:00:39,119 - > 00:00:42,880 stand in front of a flat painting and feel like it was, 15 00:00:42,960 - > 00:00:44,399 you know, it had dimensions. 16 00:00:44,640 - > 00:00:48,079 So it's very, very interesting to see those parallels in 17 00:00:48,079 - > 00:00:50,079 technological advancements. 18 00:00:50,880 - > 00:00:53,920 SPEAKER_01: Hello and welcome back to the new episode of the 19 00:00:53,920 - > 00:00:56,399 Women in Customer Success podcast. 20 00:00:56,640 - > 00:01:00,799 Today it's a pleasure to introduce you to Caroline Lambe, 21 00:01:01,119 - > 00:01:03,759 manager of customer success at ContentFool. 22 00:01:04,239 - > 00:01:06,319 Caroline, welcome to the show. 23 00:01:06,799 - > 00:01:08,000 Thanks for having me, Maria. 24 00:01:08,159 - > 00:01:09,519 I'm looking forward to it. 25 00:01:10,480 - > 00:01:15,519 Let's help the listeners to kind of pin you on the map. 26 00:01:15,599 - > 00:01:17,519 SPEAKER_00: Firstly, where are you calling from? 27 00:01:18,239 - > 00:01:20,239 So I'm based in Southeast London. 28 00:01:20,319 - > 00:01:21,599 I'm working from home today. 29 00:01:21,680 - > 00:01:24,400 So I've lived in London since I was a student. 30 00:01:24,640 - > 00:01:27,599 So calling from my my workspace. 31 00:01:28,079 - > 00:01:29,200 SPEAKER_01: Calling from London. 32 00:01:29,359 - > 00:01:29,920 Very good. 33 00:01:30,480 - > 00:01:34,719 Caroline, would you consider yourself to be introvert or 34 00:01:34,719 - > 00:01:35,519 extrovert? 35 00:01:36,480 - > 00:01:37,359 SPEAKER_00: That's a good question. 36 00:01:37,439 - > 00:01:39,359 I think I'm a mixture of both. 37 00:01:39,680 - > 00:01:43,840 So I'm very extrovert when I want to be, but then I 38 00:01:44,000 - > 00:01:46,959 absolutely need to kind of recharge and make up that time. 39 00:01:47,040 - > 00:01:50,239 And so if I've had a really busy day talking to people in the 40 00:01:50,239 - > 00:01:54,159 evening, I am drained and I just need to sort of lie on the couch 41 00:01:54,159 - > 00:01:55,120 for the rest of the day. 42 00:01:55,439 - > 00:01:57,760 Oh well, that sounds fantastic, actually. 43 00:01:58,560 - > 00:02:01,599 SPEAKER_01: If you had to completely change your career 44 00:02:01,599 - > 00:02:04,079 tomorrow, what would you do? 45 00:02:05,040 - > 00:02:06,560 SPEAKER_00: So that's an easy one for me. 46 00:02:06,719 - > 00:02:09,439 So I love fiction writing. 47 00:02:09,599 - > 00:02:10,719 That is my hobby. 48 00:02:10,960 - > 00:02:14,319 And you know, I it's hard to get the time and the headspace to do 49 00:02:14,319 - > 00:02:17,680 it, but I would 100% be finishing many of the books that 50 00:02:17,680 - > 00:02:19,919 I've already started to write. 51 00:02:20,479 - > 00:02:23,439 Ooh, so how many have you started writing? 52 00:02:24,000 - > 00:02:25,199 Probably about three. 53 00:02:25,360 - > 00:02:30,080 So I've got like a uh teen fantasy one at the moment, which 54 00:02:30,080 - > 00:02:31,840 I've been working on for a long time. 55 00:02:32,000 - > 00:02:36,319 And then I've got another one, which is about all the different 56 00:02:36,319 - > 00:02:37,599 boyfriends I've had. 57 00:02:38,800 - > 00:02:43,599 That's a bit more uh kind of adult fiction, and then I've got 58 00:02:43,599 - > 00:02:47,759 a lot of short stories, so like little collections of of stories 59 00:02:47,759 - > 00:02:48,159 as well. 60 00:02:48,319 - > 00:02:51,759 So yeah, there's a there's a whole pile of things I need to 61 00:02:51,759 - > 00:02:53,680 go back and finish and edit. 62 00:02:54,240 - > 00:02:55,759 SPEAKER_01: That sounds fascinating. 63 00:02:56,000 - > 00:02:57,520 I would love to read some of those. 64 00:02:57,759 - > 00:03:01,120 Oh well, let us know please when any of those are published, or 65 00:03:01,120 - > 00:03:03,360 if you get new at the end, publish immediately because you 66 00:03:03,360 - > 00:03:04,400 will be so inspired. 67 00:03:04,560 - > 00:03:07,439 That that's just a fascinating career that you would do. 68 00:03:07,599 - > 00:03:11,439 Now let's go a few steps back to the time when you were 16. 69 00:03:12,000 - > 00:03:16,960 Would a 16-year-old Caroline be surprised to find you in this 70 00:03:16,960 - > 00:03:18,319 current job? 71 00:03:19,439 - > 00:03:20,159 SPEAKER_00: Totally. 72 00:03:20,319 - > 00:03:24,000 So I was never into science, maths, or you know, and I 73 00:03:24,159 - > 00:03:27,840 actually was at school, we barely had many computers then 74 00:03:28,000 - > 00:03:28,560 anyway. 75 00:03:28,800 - > 00:03:32,400 I studied history of art at the Quartholde Institute, so I was 76 00:03:32,400 - > 00:03:35,599 very much living in the Renaissance, living in 77 00:03:35,599 - > 00:03:39,439 paintings, and sort of just loving art. 78 00:03:39,680 - > 00:03:44,319 But when I graduated from there, I had a boyfriend who was really 79 00:03:44,319 - > 00:03:45,280 into tech. 80 00:03:46,000 - > 00:03:50,080 And this is when the first internet cafes were opening in 81 00:03:50,080 - > 00:03:52,319 London, and it was just really, really exciting. 82 00:03:52,560 - > 00:03:55,120 And through him, I started to get interested in technology. 83 00:03:55,199 - > 00:03:59,759 I took a Photoshop course, I learned HTML, and I started 84 00:03:59,759 - > 00:04:00,639 building websites. 85 00:04:00,719 - > 00:04:04,560 So I went from the 15th century into the absolute the most uh 86 00:04:04,560 - > 00:04:08,000 latest kind of tech, and I just thought actually, this is where 87 00:04:08,000 - > 00:04:08,639 I need to be. 88 00:04:08,800 - > 00:04:12,479 But a 16-year-old me would would probably never have predicted 89 00:04:12,479 - > 00:04:15,680 that that there was the path I would end up taking. 90 00:04:16,879 - > 00:04:20,240 SPEAKER_01: How interesting is that I can completely relate as 91 00:04:20,240 - > 00:04:21,279 you were speaking. 92 00:04:21,439 - > 00:04:25,759 I was I was thinking how I was a musician, and then when I met my 93 00:04:25,759 - > 00:04:29,600 husband, and we got married, and I started hearing all the 94 00:04:29,600 - > 00:04:32,480 conversations about the product management and project 95 00:04:32,480 - > 00:04:35,519 management, and I just ended up in a business because I felt 96 00:04:35,519 - > 00:04:38,079 that I can speak that language constantly. 97 00:04:38,319 - > 00:04:40,959 I guess that was one of the very good influences that you know 98 00:04:41,040 - > 00:04:42,959 the our better halves had on us. 99 00:04:44,399 - > 00:04:46,639 SPEAKER_00: I think it also probably helps to have a 100 00:04:46,639 - > 00:04:49,439 creative mindset as well as a technical mindset because I 101 00:04:49,439 - > 00:04:53,279 think then you bring different approaches, different ways of 102 00:04:53,279 - > 00:04:57,120 thinking to using technology and maybe humanize it in a in a 103 00:04:57,120 - > 00:04:57,839 different way. 104 00:04:58,079 - > 00:05:00,959 And I think you know, art itself actually had technical 105 00:05:00,959 - > 00:05:01,439 revolutions. 106 00:05:01,519 - > 00:05:04,480 So if you're studying the Renaissance, actually the 107 00:05:04,480 - > 00:05:08,560 introduction of perspective was seen as the huge technical kind 108 00:05:08,560 - > 00:05:10,079 of innovation of its time. 109 00:05:10,240 - > 00:05:14,160 So, you know, Giotto and some of those very early painters who 110 00:05:14,160 - > 00:05:17,279 started to paint it, you know, in 3D, when we look at it now, 111 00:05:17,519 - > 00:05:21,279 you know, with AI and with virtual reality, we just think 112 00:05:21,279 - > 00:05:22,079 that's nothing. 113 00:05:22,319 - > 00:05:25,600 But it was absolutely groundbreaking at the time to 114 00:05:25,600 - > 00:05:29,199 stand in front of a flat painting and feel like it was, 115 00:05:29,279 - > 00:05:30,800 you know, it had dimensions. 116 00:05:30,959 - > 00:05:33,680 So I think it's very, very interesting to see those 117 00:05:33,680 - > 00:05:36,720 parallels in technological advancements. 118 00:05:37,519 - > 00:05:40,319 SPEAKER_01: And remind me, I remember the word chiaroscuro. 119 00:05:40,560 - > 00:05:43,199 Is that considered one of the techniques of light, right? 120 00:05:43,519 - > 00:05:46,000 SPEAKER_00: Or that no, you're right. 121 00:05:46,079 - > 00:05:47,680 So that means light out of darkness. 122 00:05:47,839 - > 00:05:51,519 And it's painters at Caravaggio in the 17th century that was 123 00:05:51,519 - > 00:05:53,600 more experimenting with that. 124 00:05:53,680 - > 00:05:56,879 So that's where you see those incredible techniques where 125 00:05:56,879 - > 00:06:00,480 somebody looks very lit and then they are coming out, literally 126 00:06:00,560 - > 00:06:02,000 coming out of the darkness. 127 00:06:02,240 - > 00:06:05,439 So yeah, good, good phrase to uh to know. 128 00:06:07,040 - > 00:06:08,560 SPEAKER_01: Now I'm really curious. 129 00:06:08,800 - > 00:06:13,680 Have you tried experimenting with AI in a way of putting some 130 00:06:13,680 - > 00:06:14,079 prompts? 131 00:06:14,160 - > 00:06:17,040 Oh, create a painting in uh Caravaggio style. 132 00:06:17,199 - > 00:06:18,399 Have you done something like that? 133 00:06:18,480 - > 00:06:21,040 Because I'm realizing I haven't, but as you're talking about 134 00:06:21,040 - > 00:06:26,000 those techniques, I feel there would be so much discoveries and 135 00:06:26,000 - > 00:06:28,720 so much surprises if we started doing that in AI. 136 00:06:28,959 - > 00:06:32,000 SPEAKER_00: Yeah, I think I'm a bit scared to do that because I 137 00:06:32,000 - > 00:06:36,160 don't want to see how good or, you know, potentially how bad 138 00:06:36,160 - > 00:06:36,560 that is. 139 00:06:36,720 - > 00:06:39,600 And I think, you know, that's obviously the one big debate 140 00:06:39,600 - > 00:06:43,519 about AI is preserving human creativity. 141 00:06:43,680 - > 00:06:46,240 And I know even if you're looking on Instagram and a lot 142 00:06:46,240 - > 00:06:50,319 of people are putting AI videos up now, people don't like them. 143 00:06:50,480 - > 00:06:53,040 They I think there's still that need for reality. 144 00:06:53,120 - > 00:06:57,519 I think we're looking at AI for a practical enhancements, help 145 00:06:57,759 - > 00:06:58,319 usage. 146 00:06:58,480 - > 00:07:01,920 We don't want it to replace at the moment, anyway, that 147 00:07:01,920 - > 00:07:05,120 creativity that comes from our our minds and our brains. 148 00:07:05,279 - > 00:07:07,519 So yeah, so I haven't experimented with that. 149 00:07:07,600 - > 00:07:10,639 I I I did use it to help my daughter think about how to 150 00:07:10,639 - > 00:07:13,199 write a bit of creative writing for her homework, though. 151 00:07:13,279 - > 00:07:18,000 And we've put a concept into Chat GBT, and it the story it 152 00:07:18,000 - > 00:07:19,439 wrote was actually very, very good. 153 00:07:19,600 - > 00:07:23,199 And that was quite shocking, you know, and that it could produce 154 00:07:23,199 - > 00:07:25,360 something so good so quickly. 155 00:07:25,519 - > 00:07:29,920 So I yeah, it's it's a bit concerning, but a bit inevitable 156 00:07:30,000 - > 00:07:34,000 actually, how AI is gonna end up infringing on the creative 157 00:07:34,000 - > 00:07:34,720 worlds. 158 00:07:36,000 - > 00:07:39,040 SPEAKER_01: And you're so right, especially as we see all of 159 00:07:39,040 - > 00:07:43,199 those different photos and videos that are AI, and and 160 00:07:43,199 - > 00:07:46,399 you're just finding yourself not knowing what to trust. 161 00:07:46,560 - > 00:07:50,079 Uh, some stuff are almost too good to be true, almost easy to 162 00:07:50,079 - > 00:07:50,399 understand. 163 00:07:50,480 - > 00:07:52,000 Yeah, it's AI, it can't happen. 164 00:07:52,160 - > 00:07:55,759 But there is so many gray spaces or gray zones that you are 165 00:07:55,759 - > 00:07:56,959 actually not sure. 166 00:07:57,279 - > 00:07:59,839 Just recently I had a conversation with uh a few 167 00:07:59,839 - > 00:08:04,639 people about the music in AI and whether you would ask AI to 168 00:08:04,639 - > 00:08:07,199 compose in Beethoven or Mozart style. 169 00:08:07,279 - > 00:08:08,560 And I'm really afraid of that. 170 00:08:08,639 - > 00:08:12,079 I I don't want to give it that prompt and then see what happens 171 00:08:12,079 - > 00:08:16,319 out of it because I'm sure it would be incredibly similar to 172 00:08:16,319 - > 00:08:20,319 what they did, but then is there the direction we want to go? 173 00:08:20,480 - > 00:08:24,720 Like, do we want a machine to produce Mozart's music? 174 00:08:24,959 - > 00:08:27,120 I think I would have my limits with that. 175 00:08:27,360 - > 00:08:29,680 SPEAKER_00: Yeah, I I I really hope that's not the way we're 176 00:08:29,680 - > 00:08:32,639 going because I I think we want to attach ourselves to the 177 00:08:32,639 - > 00:08:34,480 genius, to the personality. 178 00:08:34,720 - > 00:08:37,840 Like we want to know about the life of Michelangelo, for 179 00:08:37,840 - > 00:08:40,960 example, and you know, this man that could produce something so 180 00:08:40,960 - > 00:08:44,159 beautiful out of marble, and you know, and Mozart who could 181 00:08:44,159 - > 00:08:47,360 compose something so unbelievably incredible. 182 00:08:47,600 - > 00:08:50,639 Yeah, if machines are doing it, then where where's that person? 183 00:08:50,799 - > 00:08:54,639 Where's that personal history that's driving that creativity 184 00:08:54,720 - > 00:08:57,840 or driving that that music or or art? 185 00:08:58,480 - > 00:09:02,399 SPEAKER_01: Yeah, it's not only the technicalities of what is 186 00:09:02,399 - > 00:09:04,559 being composed or or drawn. 187 00:09:04,799 - > 00:09:05,360 SPEAKER_00: Oh wow. 188 00:09:06,080 - > 00:09:07,600 Lots of things to consider that, I guess. 189 00:09:07,840 - > 00:09:08,480 I know, I know. 190 00:09:08,639 - > 00:09:12,000 I I wonder whether younger generations will just accept the 191 00:09:12,000 - > 00:09:15,039 way that they are born with new technology, that that is the way 192 00:09:15,039 - > 00:09:16,000 that things will go. 193 00:09:16,159 - > 00:09:19,919 So I'd I'd be interested to see how how that evolves with each 194 00:09:19,919 - > 00:09:20,559 generation. 195 00:09:22,320 - > 00:09:26,240 SPEAKER_01: I agree, especially the default of AI. 196 00:09:26,399 - > 00:09:29,039 For example, when you have a question, you know, we used to 197 00:09:29,039 - > 00:09:30,320 go and Google it, right? 198 00:09:30,399 - > 00:09:34,480 And now you just go straight to AI to ask the questions or 199 00:09:34,879 - > 00:09:40,080 produce something or write me an outline for a book or anything 200 00:09:40,080 - > 00:09:40,720 else. 201 00:09:41,039 - > 00:09:44,320 That's yeah, very, very different after generations. 202 00:09:44,559 - > 00:09:49,919 But I'm interested to hear what was the journey from history of 203 00:09:49,919 - > 00:09:54,399 art and renaissance into tech and then customer success. 204 00:09:55,440 - > 00:09:58,000 SPEAKER_00: Yeah, so I guess I sort of started to tell a bit of 205 00:09:58,000 - > 00:09:58,159 that. 206 00:09:58,240 - > 00:10:01,200 So, you know, I obviously learned how to build websites 207 00:10:01,360 - > 00:10:05,279 and you know got into Photoshop and we sort of took the artistic 208 00:10:05,279 - > 00:10:07,519 side into technology. 209 00:10:07,759 - > 00:10:11,759 And then with a couple of friends, we set up a small 210 00:10:11,759 - > 00:10:15,360 company building websites, and we didn't really know what we 211 00:10:15,360 - > 00:10:18,720 were doing, we didn't really know how to run a business or 212 00:10:18,720 - > 00:10:19,440 how to pitch. 213 00:10:19,519 - > 00:10:22,399 So, you know, we ended up kind of really undercharging and 214 00:10:22,399 - > 00:10:23,440 building some websites. 215 00:10:23,519 - > 00:10:26,720 So we built the first ever website for what's now Price 216 00:10:26,720 - > 00:10:27,679 Waterhouse Coopers. 217 00:10:27,840 - > 00:10:29,200 It used to be called Coopers and Library. 218 00:10:29,440 - > 00:10:32,559 We built their first website, and I think we charged them 400 219 00:10:32,559 - > 00:10:32,960 pounds. 220 00:10:33,679 - > 00:10:36,240 And we were in the boardroom explaining to the you know, 221 00:10:36,320 - > 00:10:39,360 there was senior leadership really what a website was. 222 00:10:39,440 - > 00:10:42,639 And and in in those early days, it was like grey pages with 223 00:10:42,639 - > 00:10:46,639 graphs, and nobody really knew what to put on their website. 224 00:10:46,879 - > 00:10:50,799 Um, and then we built a lot of web pages for a travel company. 225 00:10:50,960 - > 00:10:55,039 So we we you know handcrafted all of those pages with all the 226 00:10:55,039 - > 00:10:57,600 destinations, uh, every flight. 227 00:10:57,759 - > 00:11:00,720 And the guy obviously saw that we were totally green and didn't 228 00:11:00,720 - > 00:11:01,759 know how to run a business. 229 00:11:01,840 - > 00:11:05,360 And when we sent him an invoice, he said, I'm gonna pay you in 230 00:11:05,360 - > 00:11:08,240 free travel anywhere in the world instead of with money. 231 00:11:08,480 - > 00:11:12,240 So we got five-star hotels, first-class flights anywhere we 232 00:11:12,240 - > 00:11:15,279 wanted, but unless you had like no money to spend when we got 233 00:11:15,279 - > 00:11:15,519 there. 234 00:11:15,759 - > 00:11:19,279 So it it was it was really good fun at the time, but yeah, it 235 00:11:19,279 - > 00:11:21,519 was a bit of a we didn't really know what we were doing. 236 00:11:21,600 - > 00:11:24,480 And then from there I actually went into Sorry. 237 00:11:24,559 - > 00:11:26,000 Can I just ask, where did you go? 238 00:11:26,159 - > 00:11:27,440 What did you actually do? 239 00:11:27,679 - > 00:11:28,639 Some cool locations. 240 00:11:28,879 - > 00:11:30,960 So I we mainly stuck to Europe. 241 00:11:31,039 - > 00:11:34,480 So I I remember going to Amsterdam and going to Paris, 242 00:11:34,559 - > 00:11:36,159 and I think we went to Italy. 243 00:11:36,240 - > 00:11:40,639 So yeah, we and stayed in literally the best hotels, but 244 00:11:40,639 - > 00:11:42,960 couldn't afford to eat in the restaurants or anything. 245 00:11:43,120 - > 00:11:48,320 So it was uh kind of fun, but uh if we'd had a bit of money to 246 00:11:48,320 - > 00:11:50,000 spend, that would have been good as well. 247 00:11:50,240 - > 00:11:52,480 But you know, I think when you're young, you don't really 248 00:11:52,480 - > 00:11:56,559 care so much, you're just kind of living on energy and kind of 249 00:11:56,559 - > 00:11:57,120 good fun. 250 00:11:57,360 - > 00:11:58,240 So yeah, that was good. 251 00:11:58,320 - > 00:12:00,639 And then and then from there I went into the charity sector. 252 00:12:00,879 - > 00:12:04,399 So I worked for Mencat, which is the learning disability charity 253 00:12:04,399 - > 00:12:06,399 in the UK, and that was fantastic. 254 00:12:06,559 - > 00:12:10,159 So I I kind of relaunched their website, which was all about 255 00:12:10,159 - > 00:12:13,279 campaigning, providing information for parents and 256 00:12:13,279 - > 00:12:16,480 carers, and we could be really creative and we really had to 257 00:12:16,480 - > 00:12:20,000 think about actually how to design accessible web content so 258 00:12:20,000 - > 00:12:23,200 that people with learning disabilities who found it harder 259 00:12:23,200 - > 00:12:27,360 to read information or needed more imagery, we had to design a 260 00:12:27,360 - > 00:12:28,960 lot of the content with that in mind. 261 00:12:29,120 - > 00:12:31,919 And I think when you're thinking about someone that really needs 262 00:12:31,919 - > 00:12:34,960 to kind of have information presented clearly, you're 263 00:12:34,960 - > 00:12:36,320 designing well for everybody. 264 00:12:36,480 - > 00:12:40,399 So that was quite a nice to kind of go and give talks about 265 00:12:40,399 - > 00:12:42,799 accessible design, which I I really enjoyed. 266 00:12:43,039 - > 00:12:44,559 So that that was great fun. 267 00:12:44,720 - > 00:12:48,799 And then from there I actually went into more the corporate 268 00:12:48,799 - > 00:12:49,600 side of tech. 269 00:12:49,759 - > 00:12:53,840 So I had a bit of a break, had uh my children, sort of really 270 00:12:53,840 - > 00:12:57,759 took a bit of time out, and then went back in part-time to work 271 00:12:57,759 - > 00:13:01,759 for a technology implementation partner, and then was there for 272 00:13:01,759 - > 00:13:05,759 six years and then ended up at Sitecore, and then after that 273 00:13:05,919 - > 00:13:07,039 ended up in Contentpo. 274 00:13:07,360 - > 00:13:09,600 So it's been a bit of a kind of round-the-houses sort of 275 00:13:09,600 - > 00:13:12,480 journey, but I definitely stayed with tech really sort of for 276 00:13:12,480 - > 00:13:13,759 most of my career. 277 00:13:14,960 - > 00:13:18,799 SPEAKER_01: Today's episode is brought to you by DeployFlow, 278 00:13:18,960 - > 00:13:21,360 your partner for digital transformation. 279 00:13:21,679 - > 00:13:24,240 Do you need to build an MVP fast? 280 00:13:25,360 - > 00:13:30,320 Whether it's a new product, APIs, configuration for your 281 00:13:30,320 - > 00:13:33,759 CRMs, or modernizing your cloud apps. 282 00:13:34,080 - > 00:13:38,559 P-Suite gives you a team, senior squad of full-stack engineers 283 00:13:38,559 - > 00:13:41,919 who plug into your team and hit the ground running. 284 00:13:42,159 - > 00:13:46,240 Designed for founders and CTOs who want to move fast with 285 00:13:46,240 - > 00:13:50,320 AI-powered tools and clear sprint-based outcomes. 286 00:13:50,720 - > 00:13:52,639 No more long-term log-ins. 287 00:13:52,799 - > 00:13:56,720 So if a sprint doesn't deliver, you can just walk away. 288 00:13:57,039 - > 00:14:02,879 For a cost and squat estimate, head over to deployflow.co slash 289 00:14:02,879 - > 00:14:06,240 p suite and take the quick quiz. 290 00:14:06,799 - > 00:14:08,559 Deployflow.co. 291 00:14:09,840 - > 00:14:13,039 I would like to go back into the moment when you're saying that 292 00:14:13,039 - > 00:14:16,000 you you took career break to spend some time with your 293 00:14:16,000 - > 00:14:16,559 children. 294 00:14:18,080 - > 00:14:22,080 How long was the break and what were some of the steps that you 295 00:14:22,080 - > 00:14:24,799 took to get yourself back into the workforce? 296 00:14:24,879 - > 00:14:26,000 How was that experience? 297 00:14:26,240 - > 00:14:27,600 SPEAKER_00: Yeah, no, that's a good question. 298 00:14:27,679 - > 00:14:30,399 And in fact, I was interviewing someone for the for my team 299 00:14:30,399 - > 00:14:34,399 today who's on maternity leave and just that kind of anxiety 300 00:14:34,399 - > 00:14:36,799 about going back to work after you've, you know, you've had 301 00:14:36,799 - > 00:14:40,080 your first baby, and it's terrifying to think of leaving 302 00:14:40,080 - > 00:14:40,399 them. 303 00:14:40,720 - > 00:14:43,840 So I actually made a decision and I knew it was going to 304 00:14:43,840 - > 00:14:46,320 impact my career to have that time out. 305 00:14:46,399 - > 00:14:50,799 I just really wanted to kind of spend those early years with my 306 00:14:50,799 - > 00:14:51,120 children. 307 00:14:51,200 - > 00:14:54,960 And I know it was a luxury, and financially, you know, we we 308 00:14:54,960 - > 00:14:56,720 really kind of had to pull back for that. 309 00:14:56,799 - > 00:15:00,080 So we we had to kind of have many holidays, we really had to 310 00:15:00,080 - > 00:15:03,919 think about cost savings, but I just really wanted those sunny 311 00:15:03,919 - > 00:15:06,960 days in the park and and to spend that time when they were 312 00:15:06,960 - > 00:15:07,200 little. 313 00:15:07,519 - > 00:15:11,519 So yeah, we just had to budget, we had to be super careful, and 314 00:15:11,759 - > 00:15:15,440 uh you know, it was only when when my son was about nine nine, 315 00:15:15,519 - > 00:15:18,559 ten months, I did work part-time, so I didn't 316 00:15:18,559 - > 00:15:20,159 completely come out of the workforce. 317 00:15:20,240 - > 00:15:23,759 I did one or two days a week, and I I did that consistently. 318 00:15:23,840 - > 00:15:27,440 And then I had my daughter a couple of years later, and it 319 00:15:27,440 - > 00:15:30,799 was only really when she was a little bit older and properly at 320 00:15:30,799 - > 00:15:33,919 primary school, and I thought, actually I can I can start to up 321 00:15:33,919 - > 00:15:36,879 my days and and work a little bit more full-time now. 322 00:15:37,200 - > 00:15:38,639 So it was hard. 323 00:15:38,720 - > 00:15:42,000 I mean, I we we brought in just enough to cover all the bills 324 00:15:42,000 - > 00:15:45,440 and the mortgage and enough to sort of have a bit of fun, but I 325 00:15:45,440 - > 00:15:47,360 I wouldn't have done it any other way. 326 00:15:47,440 - > 00:15:51,759 I mean, and I I think I was very lucky and very happy to do that. 327 00:15:51,919 - > 00:15:55,840 And I can see for uh for a lot of women nowadays with the cost 328 00:15:55,840 - > 00:15:58,240 of living, it's it's really, really tough. 329 00:15:58,320 - > 00:16:01,120 And I think a lot of people do just have to go back into work 330 00:16:01,120 - > 00:16:04,480 and make those sacrifices and put their children in in 331 00:16:04,480 - > 00:16:05,200 childcare. 332 00:16:05,360 - > 00:16:10,159 So I I kind of knew I was lucky to to be able to do it. 333 00:16:11,360 - > 00:16:13,600 SPEAKER_01: Did you say something that it was a decision 334 00:16:13,600 - > 00:16:15,679 that you knew would impact your career? 335 00:16:15,919 - > 00:16:17,200 What do you mean by that? 336 00:16:17,919 - > 00:16:21,279 SPEAKER_00: So I mean, I think when you take those breaks, for 337 00:16:21,279 - > 00:16:26,320 example, when I when I left uh the charity where I was working, 338 00:16:26,559 - > 00:16:30,080 I was probably on track for my next career role to really go 339 00:16:30,080 - > 00:16:34,240 into kind of being a a director of digital at a charity. 340 00:16:34,720 - > 00:16:39,759 And because I took that chunk of time out and decided not to go 341 00:16:39,759 - > 00:16:43,919 back to work to that job after my son was born, just because 342 00:16:43,919 - > 00:16:46,159 they wouldn't entertain part-time, they wanted it 343 00:16:46,159 - > 00:16:46,960 full-time. 344 00:16:47,120 - > 00:16:51,120 Uh I knew that I really had to scuff at my chance to actually 345 00:16:51,440 - > 00:16:53,440 progress my career in that way. 346 00:16:53,840 - > 00:16:55,440 And I think that is really hard, you know. 347 00:16:55,679 - > 00:16:59,200 With with careers, you've got to get that momentum and go from 348 00:16:59,200 - > 00:16:59,919 role to role. 349 00:17:00,000 - > 00:17:02,960 And I think it's it's often quite hard to take a break 350 00:17:02,960 - > 00:17:04,640 because you're questioned about it. 351 00:17:04,960 - > 00:17:09,119 You maybe kind of lose some of the trends or lose some of the 352 00:17:09,119 - > 00:17:10,880 aggression that's happening in tech. 353 00:17:11,039 - > 00:17:12,319 So I think it's tough. 354 00:17:12,400 - > 00:17:15,359 And and I would say the majority of women that have worked within 355 00:17:15,359 - > 00:17:19,920 tech, I would say 90% of them have pretty much taken their 356 00:17:19,920 - > 00:17:23,039 assigned maternity leave, maybe eight, nine months to a year, 357 00:17:23,119 - > 00:17:25,839 and then gone straight back into work full-time. 358 00:17:26,240 - > 00:17:29,200 It does impact your career when you take that time out. 359 00:17:30,799 - > 00:17:34,319 SPEAKER_01: I think we both are speaking from the context of UK, 360 00:17:34,400 - > 00:17:37,279 where it is very common typically to keep the job only 361 00:17:37,279 - > 00:17:40,559 for 12 months during maternity leave and then go back. 362 00:17:41,839 - > 00:17:47,119 And I think only in some maybe rare cases, you can go 363 00:17:47,119 - > 00:17:47,680 part-time. 364 00:17:47,759 - > 00:17:51,680 And for what I have seen, especially in tech, it's not 365 00:17:51,680 - > 00:17:52,960 typically an option. 366 00:17:53,119 - > 00:17:58,400 But I wonder, can we can companies, can managers do 367 00:17:58,400 - > 00:18:00,240 something about to help ladies? 368 00:18:00,400 - > 00:18:04,559 As I work a lot with German customers, for example, it seems 369 00:18:04,559 - > 00:18:08,640 very common there that women go back to work either after taking 370 00:18:08,720 - > 00:18:11,680 break or even for any other reasons, and they decide to work 371 00:18:11,680 - > 00:18:16,559 80% or 70-60% of work, and it doesn't impact the 372 00:18:16,559 - > 00:18:17,279 employability. 373 00:18:17,359 - > 00:18:20,799 It's almost a given, which I think it's it's incredible for 374 00:18:20,799 - > 00:18:21,200 women. 375 00:18:21,519 - > 00:18:26,079 Wondering, have you noticed the ways that we could kind of give 376 00:18:26,079 - > 00:18:29,519 mothers a bit of more opportunities in that aspect, or 377 00:18:29,519 - > 00:18:32,720 it's always difficult because of the bottom line? 378 00:18:32,960 - > 00:18:34,079 SPEAKER_00: I I think it's hard. 379 00:18:34,160 - > 00:18:36,640 I mean, and I think if you take the other extreme, which is the 380 00:18:36,640 - > 00:18:39,920 American culture, where you're expected to go back to work when 381 00:18:39,920 - > 00:18:41,519 your child is four months old. 382 00:18:41,839 - > 00:18:42,240 Oh gosh. 383 00:18:42,640 - > 00:18:45,119 I mean, that is really, really tough. 384 00:18:45,279 - > 00:18:47,839 And I think we're sort of middle ground of a set. 385 00:18:48,079 - > 00:18:53,039 I've worked for a Danish company before, and in Denmark, and you 386 00:18:53,039 - > 00:18:54,799 get time, really good time out. 387 00:18:54,880 - > 00:18:58,160 You the man and the woman get the time out, and then I think 388 00:18:58,160 - > 00:18:59,440 it's the same in Belgium. 389 00:18:59,680 - > 00:19:03,680 You also get a period of a year that you can take up until when 390 00:19:03,680 - > 00:19:05,200 your child has 10 years. 391 00:19:05,519 - > 00:19:08,960 So you get it, it's not full pay, but you can take like a 392 00:19:08,960 - > 00:19:10,559 month, for example, in the summer. 393 00:19:10,720 - > 00:19:13,599 So you can really enjoy your children when they're growing 394 00:19:13,599 - > 00:19:13,920 up. 395 00:19:14,240 - > 00:19:17,839 And you know, that's there's a reason why Scandinavian 396 00:19:17,839 - > 00:19:20,480 countries are very, very happy and very productive. 397 00:19:20,799 - > 00:19:25,119 When I worked for that Danish company, people would be in the 398 00:19:25,119 - > 00:19:28,880 office probably from about eight, and then by 3:30, the 399 00:19:28,880 - > 00:19:30,240 office was empty. 400 00:19:30,400 - > 00:19:33,359 Not because people were lazy, it's because the culture is you 401 00:19:33,359 - > 00:19:35,839 go and pick your children up from school, and then you spend 402 00:19:35,839 - > 00:19:39,119 quality time, you eat together, and then maybe you'll do a bit 403 00:19:39,119 - > 00:19:40,319 of work in the evening. 404 00:19:40,640 - > 00:19:44,000 But people are really happy because they're not missing out 405 00:19:44,000 - > 00:19:46,640 on family life, they're getting the best of everything. 406 00:19:46,880 - > 00:19:50,240 And I think you can see that with the success of you know, 407 00:19:50,400 - > 00:19:51,920 Scandinavian businesses. 408 00:19:52,000 - > 00:19:54,400 There's some of them are the most successful in the world. 409 00:19:54,559 - > 00:19:57,200 For example, if you look at our high street at the moment, most 410 00:19:57,200 - > 00:19:58,000 of it is Danish. 411 00:19:58,079 - > 00:20:03,279 So Oli and Stein, the uh sticks and sushi, the swart and green, 412 00:20:03,359 - > 00:20:06,559 the new homeware, you know, all of these incredible Danish 413 00:20:06,559 - > 00:20:09,200 business businesses, Bang and Olsen, you know, that are are 414 00:20:09,359 - > 00:20:12,319 really top-end kind of businesses, they're all coming 415 00:20:12,319 - > 00:20:13,279 from that culture. 416 00:20:13,519 - > 00:20:17,359 So I don't think you can always say that giving people that time 417 00:20:17,359 - > 00:20:20,319 with the family equates to a lack of productivity and a lack 418 00:20:20,319 - > 00:20:20,880 of success. 419 00:20:20,960 - > 00:20:24,480 I think it builds a really positive culture. 420 00:20:24,720 - > 00:20:27,920 And even actually, that I know they pay a lot of tax, so they 421 00:20:27,920 - > 00:20:31,200 can do things like this, but if you're deciding on a career 422 00:20:31,200 - > 00:20:34,240 change, there's actually compensation that you can get. 423 00:20:34,319 - > 00:20:38,000 So you can be paid for up to six months while you contemplate 424 00:20:38,000 - > 00:20:39,920 what your next career move is. 425 00:20:40,160 - > 00:20:42,720 So you don't feel the need to go straight from one job to 426 00:20:42,720 - > 00:20:43,119 another. 427 00:20:43,279 - > 00:20:46,880 So obviously, that's like the ultimate benchmark if you pay a 428 00:20:46,880 - > 00:20:49,759 lot of tax and you live in a in a sort of culture like that, and 429 00:20:49,759 - > 00:20:52,000 then you've got the other extreme, which is the sort of 430 00:20:52,000 - > 00:20:54,000 American, North American culture. 431 00:20:54,240 - > 00:20:55,839 So I think it's tricky. 432 00:20:55,920 - > 00:20:59,119 I I think we're we're we're fairly well looked after in in 433 00:20:59,119 - > 00:21:03,519 the UK, and that you do get a fairly good maternity time off, 434 00:21:03,599 - > 00:21:06,880 and and also with flexible working, working from home, 435 00:21:07,119 - > 00:21:10,000 that's been a bit of a game changer in that that people can 436 00:21:10,000 - > 00:21:11,680 be more present for their children. 437 00:21:11,839 - > 00:21:14,960 So I I I think it's not too bad. 438 00:21:15,680 - > 00:21:18,559 SPEAKER_01: Oh, the dream of Scandinavian countries, right? 439 00:21:18,799 - > 00:21:22,559 Um I remember every time I worked with Scandinavian 440 00:21:22,559 - > 00:21:27,599 customers, we knew that July was off because everybody should 441 00:21:27,599 - > 00:21:28,799 take the whole month off. 442 00:21:29,039 - > 00:21:32,880 Then in Germany and some other parts of Europe, August is off. 443 00:21:33,200 - > 00:21:36,480 You don't dare to put any calls in place, of course, because 444 00:21:36,480 - > 00:21:38,160 everybody needs to have the time off. 445 00:21:38,319 - > 00:21:43,039 Just the other day I found out that in Belgium it is actually 446 00:21:43,039 - > 00:21:46,960 common in the whole country that there is no schools, there is no 447 00:21:46,960 - > 00:21:49,279 school on Wednesdays afternoon. 448 00:21:49,519 - > 00:21:53,519 So mothers typically have this time off from work and they they 449 00:21:53,519 - > 00:21:55,440 spend it with their children again. 450 00:21:55,680 - > 00:21:58,559 So for the purposes of family spending more time together, 451 00:21:58,640 - > 00:21:59,440 which is wonderful. 452 00:22:00,319 - > 00:22:03,119 All the ladies that I have ever worked with in Belgium are 453 00:22:03,119 - > 00:22:04,799 incredible performers. 454 00:22:05,279 - > 00:22:09,279 So there must be something amazing about increasing our 455 00:22:09,279 - > 00:22:12,960 happiness and productivity by giving us time to spend with our 456 00:22:12,960 - > 00:22:13,440 families. 457 00:22:13,759 - > 00:22:14,160 SPEAKER_00: Absolutely. 458 00:22:14,319 - > 00:22:17,119 I think if you're trusted by the business that you work with, 459 00:22:17,359 - > 00:22:20,799 then you give back, you know, if they if they trust you to be 460 00:22:20,799 - > 00:22:24,799 flexible and you know have have that time maybe an hour or so in 461 00:22:24,799 - > 00:22:27,599 the afternoon with children and then go back to work. 462 00:22:27,680 - > 00:22:29,920 As long as you're being productive and as long as you're 463 00:22:29,920 - > 00:22:34,079 hitting your targets and achieving, then that that kind 464 00:22:34,079 - > 00:22:37,680 of nine to five ideal, I think, is is becoming less and less 465 00:22:37,680 - > 00:22:38,160 common. 466 00:22:38,319 - > 00:22:40,480 You know, and I think it's also important when the children are 467 00:22:40,480 - > 00:22:40,720 young. 468 00:22:40,799 - > 00:22:44,480 I mean, my son's 17 now, and you know, it's hard to get him to 469 00:22:44,480 - > 00:22:45,359 come out of his bedroom. 470 00:22:45,440 - > 00:22:48,880 So I'm really appreciative of the fact I spent a lot of time 471 00:22:48,880 - > 00:22:50,480 with him when he was younger. 472 00:22:51,200 - > 00:22:55,920 SPEAKER_01: Caroline, going a few steps forward on your career 473 00:22:56,000 - > 00:22:56,400 journey. 474 00:22:56,559 - > 00:23:00,559 I know that you experienced some particular difficulties when 475 00:23:00,559 - > 00:23:03,039 there have been so many different layoffs uh in tech, 476 00:23:03,359 - > 00:23:05,359 and you were you were part of one layoff. 477 00:23:05,599 - > 00:23:10,000 So I wonder if you would tell us a bit of reflection, how did the 478 00:23:10,000 - > 00:23:15,680 layoff look like for you and the process of going back into the 479 00:23:15,680 - > 00:23:16,480 workforce? 480 00:23:16,799 - > 00:23:17,440 SPEAKER_00: Yeah, I know. 481 00:23:17,519 - > 00:23:18,480 I'm glad you asked about that. 482 00:23:18,559 - > 00:23:22,480 So it's it's it's a really interesting point and one that I 483 00:23:22,480 - > 00:23:23,599 was quite shocked at the time. 484 00:23:23,680 - > 00:23:26,079 And I know a lot of people have been made redundant over the 485 00:23:26,079 - > 00:23:26,559 last few years. 486 00:23:26,720 - > 00:23:29,359 We've all seen those heartbreaking LinkedIn posts 487 00:23:29,359 - > 00:23:31,599 where people are just worrying about paying their bills. 488 00:23:31,680 - > 00:23:35,680 And so yeah, I was at a big tech firm and they decided to remove 489 00:23:35,680 - > 00:23:39,519 the whole of the customer's success function for various 490 00:23:39,519 - > 00:23:39,920 reasons. 491 00:23:40,079 - > 00:23:42,480 So it wasn't just a personal thing, it was that the whole 492 00:23:42,480 - > 00:23:44,640 team globally were removed. 493 00:23:44,880 - > 00:23:48,400 It was, you know, obviously being made redundant, as anyone 494 00:23:48,400 - > 00:23:49,759 will know, is is horrible. 495 00:23:50,000 - > 00:23:53,920 You feel worried and insecure, you lose your work family, you 496 00:23:53,920 - > 00:23:58,160 lose your security, you, you know, it's it's not just losing 497 00:23:58,160 - > 00:23:59,839 a job, it's it's so much else. 498 00:24:00,079 - > 00:24:03,599 And certainly myself and one of the other uh mothers who were 499 00:24:03,599 - > 00:24:08,000 laid off, we'd always been quite good at interviews, so we 500 00:24:08,000 - > 00:24:10,799 thought, and had never really struggled to get a job. 501 00:24:10,880 - > 00:24:13,839 But obviously, we were going back into a marketplace which 502 00:24:13,839 - > 00:24:17,279 was highly competitive, a lot of very senior people were being 503 00:24:17,279 - > 00:24:21,359 laid off, and so for every job that came up, there was so many 504 00:24:21,359 - > 00:24:24,640 more applicants, and you were competing again against people. 505 00:24:24,720 - > 00:24:28,079 So, say for example, you were applying to an HR tech, there 506 00:24:28,079 - > 00:24:30,640 were other people who had all that background in that 507 00:24:30,640 - > 00:24:34,400 particular vertical, and they might even have been, you know, 508 00:24:34,480 - > 00:24:36,880 I was going for sort of manager roles and I was competing 509 00:24:36,880 - > 00:24:38,880 against people who had been in VPs. 510 00:24:39,200 - > 00:24:41,519 It was very, very competitive. 511 00:24:41,759 - > 00:24:45,039 I think in that period of time, I probably did somewhere between 512 00:24:45,039 - > 00:24:49,200 30 and 40 interviews, some, you know, up to certain kind of 513 00:24:49,200 - > 00:24:49,519 levels. 514 00:24:49,680 - > 00:24:52,960 I was absolutely exhausted and just drained. 515 00:24:53,039 - > 00:24:56,400 And luckily, I had my colleagues who were all looking for jobs, 516 00:24:56,640 - > 00:24:59,759 and uh, you know, I was able to kind of message them and go, Oh 517 00:24:59,759 - > 00:25:00,880 my god, are you having a tough? 518 00:25:01,119 - > 00:25:03,359 And and a little a lot of them were as well. 519 00:25:03,599 - > 00:25:07,519 I don't know whether this was coincidence or again, it's not 520 00:25:07,519 - > 00:25:11,200 just down to, you know, I guess age, which I'm going to talk 521 00:25:11,200 - > 00:25:14,400 about, but also it seemed like a couple of the guys that were 522 00:25:14,400 - > 00:25:17,039 looking for jobs seemed to get roles a lot more quickly than 523 00:25:17,039 - > 00:25:17,920 the woman. 524 00:25:18,079 - > 00:25:21,440 And I don't know if that was just coincidence or whether 525 00:25:21,440 - > 00:25:23,599 there was, you know, men are more employable. 526 00:25:23,680 - > 00:25:24,799 I'm I'm not sure. 527 00:25:25,119 - > 00:25:28,559 But certainly what I found was with a lot of the interviews, I 528 00:25:28,559 - > 00:25:32,720 was being initially screened by a lot of quite young people, as 529 00:25:32,720 - > 00:25:35,279 is the way, you know, maybe someone in HR who's screening 530 00:25:35,279 - > 00:25:38,319 you before you'll go through to a next round. 531 00:25:38,400 - > 00:25:40,799 And a lot of them were were super young. 532 00:25:41,039 - > 00:25:45,599 And I certainly felt, and it it was a quite a pattern that I saw 533 00:25:45,680 - > 00:25:48,559 that you know, the younger they were, the the quicker I I was 534 00:25:48,559 - > 00:25:52,160 probably dismissed out of that work process, even though on 535 00:25:52,160 - > 00:25:55,200 paper I was absolutely 100% right for the role. 536 00:25:55,440 - > 00:25:59,039 And I think even with jobs that I was applying to where AI 537 00:25:59,039 - > 00:26:02,000 technology was probably scanning the CV and giving me a 10 out of 538 00:26:02,000 - > 00:26:06,319 10, when I actually got in front of a person, again, it was a bit 539 00:26:06,319 - > 00:26:06,720 confusing. 540 00:26:06,799 - > 00:26:08,559 It was like I'm perfect for this role. 541 00:26:08,720 - > 00:26:11,599 Why is this not happening? 542 00:26:11,920 - > 00:26:15,759 So, you know, liaising with other people, it just did feel 543 00:26:15,759 - > 00:26:19,839 that sort of there's this bias towards taking people maybe in 544 00:26:19,839 - > 00:26:23,839 their 20s and 30s into tech and that perception that that's the 545 00:26:23,839 - > 00:26:26,319 kind of age that you should be looking at. 546 00:26:26,640 - > 00:26:29,839 And I think, you know, I have seen a few LinkedIn posts 547 00:26:29,839 - > 00:26:32,480 aligning with this as well when I was constantly sort of 548 00:26:32,480 - > 00:26:36,400 scouring for jobs, that people don't realize actually the value 549 00:26:36,400 - > 00:26:40,400 that someone who is a little bit older in their career can bring 550 00:26:40,400 - > 00:26:41,119 into a team. 551 00:26:41,279 - > 00:26:44,559 So, for example, your children are older, so you're going to be 552 00:26:44,559 - > 00:26:45,279 more available. 553 00:26:45,359 - > 00:26:48,160 You your kids are walking to school and back, you're less 554 00:26:48,160 - > 00:26:50,799 likely to be unwell because you've had all those bugs when 555 00:26:50,799 - > 00:26:53,440 the kids are younger, so you're kind of a bit more resilient. 556 00:26:53,519 - > 00:26:55,839 Like, for example, in the job, I've been in my current role for 557 00:26:55,839 - > 00:26:56,319 seven months. 558 00:26:56,400 - > 00:26:58,960 I've had like maybe one or two sick days. 559 00:26:59,200 - > 00:27:02,000 I think also you're a little bit more emotionally resilient. 560 00:27:02,240 - > 00:27:06,480 So when I was in my 30s, I would take things very personally, or 561 00:27:06,720 - > 00:27:09,599 if my manager says something to me I didn't like, I would stew 562 00:27:09,599 - > 00:27:09,839 on it. 563 00:27:10,000 - > 00:27:13,599 So now I just, you know, I'm very good at separating the 564 00:27:13,599 - > 00:27:16,960 emotions from from work and not not kind of you know 565 00:27:17,279 - > 00:27:19,119 overthinking things. 566 00:27:19,359 - > 00:27:22,400 I think also, especially if you're managing a team, you can 567 00:27:22,400 - > 00:27:25,039 just bring that kind of experience and maturity. 568 00:27:25,279 - > 00:27:27,839 You're not competing with the you know, the people in your 569 00:27:27,839 - > 00:27:31,119 team, you're there to nurture them, you're not going to bring 570 00:27:31,119 - > 00:27:33,440 your ego into that, you know, you're you're really there to 571 00:27:33,440 - > 00:27:34,160 make them thrive. 572 00:27:34,319 - > 00:27:37,279 So I think in that sense, you're really valuable to the business 573 00:27:37,599 - > 00:27:41,119 because I'm not interested in politics, I'm interested in 574 00:27:41,119 - > 00:27:45,119 success, I'm interested in team achievement, I'm interested in 575 00:27:45,279 - > 00:27:48,640 really good collaboration with uh with my colleagues and seeing 576 00:27:48,640 - > 00:27:50,160 my team really succeed. 577 00:27:50,319 - > 00:27:53,920 So, for example, since I I joined Contentful, two of my 578 00:27:53,920 - > 00:27:56,720 team have just been promoted this week, which I'm super proud 579 00:27:56,720 - > 00:27:56,799 of. 580 00:27:57,519 - > 00:27:59,279 You know, I'm seeing them thrive, we're hitting our 581 00:27:59,279 - > 00:27:59,839 targets. 582 00:28:00,079 - > 00:28:01,839 That to me gives me a lot of pleasure. 583 00:28:02,000 - > 00:28:03,759 So it's it's not about my success. 584 00:28:03,920 - > 00:28:05,440 Well, my success is their success. 585 00:28:05,519 - > 00:28:09,200 So I I think there's just a lot of, you know, this having adults 586 00:28:09,200 - > 00:28:12,400 in the room can really add a lot to it to a business, you know, 587 00:28:12,559 - > 00:28:16,000 and you need those different age ranges, I think, to to make a 588 00:28:16,000 - > 00:28:18,880 workplace interesting and and dynamic. 589 00:28:20,240 - > 00:28:23,440 SPEAKER_01: The other day I had a conversation with a lady who 590 00:28:23,599 - > 00:28:27,599 mentioned, oh, I'm in my 30s and I'm not a VP yet. 591 00:28:27,759 - > 00:28:28,720 What's wrong with me? 592 00:28:28,799 - > 00:28:30,160 You know, what what's happening? 593 00:28:30,319 - > 00:28:35,359 So I wonder when you reflect to your experience of ageism in 594 00:28:35,359 - > 00:28:40,799 tech, do you think it was more of probably a combination of 595 00:28:40,799 - > 00:28:46,480 ageism because you wanted to enter start like tech, or is it 596 00:28:46,480 - > 00:28:51,200 because you are applying for kind of mid-level managerial 597 00:28:51,200 - > 00:28:54,640 roles and not like C level that maybe people expect it? 598 00:28:54,880 - > 00:28:56,640 Like what what are your thoughts on it? 599 00:28:56,880 - > 00:28:58,720 SPEAKER_00: Yeah, no, I think that's a good point, and that 600 00:28:58,720 - > 00:28:59,759 really resonates as well. 601 00:28:59,920 - > 00:29:02,480 I think because I had that career gap, you know, probably 602 00:29:02,480 - > 00:29:05,359 at this stage of my career, I should I should be higher. 603 00:29:05,599 - > 00:29:07,920 And people probably are thinking, you know, why why is 604 00:29:07,920 - > 00:29:10,240 she not applying for those particular roles? 605 00:29:10,319 - > 00:29:14,079 And so yeah, I mean, I think in that sense, I probably did raise 606 00:29:14,079 - > 00:29:15,599 a few questions around that. 607 00:29:15,839 - > 00:29:20,319 I think now that I'm sort of back into the flow of my career, 608 00:29:20,640 - > 00:29:24,160 I feel much more mentally prepared now to to kind of take 609 00:29:24,160 - > 00:29:26,799 those next steps at some point in the in the next few years 610 00:29:26,960 - > 00:29:28,240 into those sorts of roles. 611 00:29:28,400 - > 00:29:30,880 But I think also this is what going back to what I was saying, 612 00:29:31,039 - > 00:29:34,000 because you have those gaps, you actually miss some of that 613 00:29:34,000 - > 00:29:36,559 natural progression where you build up that internal 614 00:29:36,559 - > 00:29:39,680 confidence within a business and where you can go, right? 615 00:29:39,759 - > 00:29:42,000 I've done all of these roles now, I'm ready for this. 616 00:29:42,160 - > 00:29:45,039 So there is something to be said about continuity. 617 00:29:45,359 - > 00:29:49,680 I've got another friend actually who she was very sort of senior 618 00:29:49,680 - > 00:29:50,720 in a tech role. 619 00:29:50,880 - > 00:29:53,599 She was like head of head of customer success within a 620 00:29:53,599 - > 00:29:54,000 business. 621 00:29:54,240 - > 00:29:58,000 She had to take five years out because she became unwell. 622 00:29:58,880 - > 00:30:00,640 She's experiencing the same thing. 623 00:30:00,960 - > 00:30:02,640 She's trying to get back into role. 624 00:30:02,720 - > 00:30:05,519 She's one of the brightest, most competent people I've ever 625 00:30:05,519 - > 00:30:06,079 worked with. 626 00:30:06,319 - > 00:30:09,200 And she's struggling to get a job because people are just 627 00:30:09,200 - > 00:30:11,920 questioning that gap, questioning where she's been, 628 00:30:12,000 - > 00:30:14,240 even if you've got a very legitimate reason. 629 00:30:14,400 - > 00:30:18,160 So yeah, I think it is it is tricky to have those gaps, and 630 00:30:18,160 - > 00:30:20,559 you have to just try and justify them. 631 00:30:21,440 - > 00:30:24,720 SPEAKER_01: I like your value propositions for having adults 632 00:30:24,720 - > 00:30:27,519 in the room, and and what are all the benefits that 633 00:30:27,519 - > 00:30:30,480 potentially older people can bring into the workforce? 634 00:30:30,720 - > 00:30:34,400 I wonder what would be your message or some of the 635 00:30:34,400 - > 00:30:37,279 strategies for hiring managers? 636 00:30:37,519 - > 00:30:42,400 How can they be more intentionally inclusive of 637 00:30:42,960 - > 00:30:47,039 people with gaps in their careers or CVs and especially 638 00:30:47,039 - > 00:30:51,680 women who might be aging and then want to enter or re-enter 639 00:30:51,839 - > 00:30:52,720 the workforce? 640 00:30:52,880 - > 00:30:56,640 Uh, you're also in a hiring manager position. 641 00:30:56,720 - > 00:31:00,799 So, what is some of your tips for hiring managers in 642 00:31:00,799 - > 00:31:01,200 particular? 643 00:31:01,359 - > 00:31:04,799 And then after we can probably go, what are the tips for women 644 00:31:04,799 - > 00:31:07,359 who are trying to enter the industry back? 645 00:31:08,160 - > 00:31:09,359 SPEAKER_00: I think that's a good question. 646 00:31:09,519 - > 00:31:14,319 And I I I think it's it it possibly be rethinking a little 647 00:31:14,319 - > 00:31:17,119 bit about the types of questions that you're asked in in an 648 00:31:17,119 - > 00:31:17,599 interview. 649 00:31:17,759 - > 00:31:21,680 So perhaps there should be some more questions around, you know, 650 00:31:21,920 - > 00:31:25,200 what can you bring to the role in terms of how you would manage 651 00:31:25,200 - > 00:31:29,519 a team from maybe your experience or from an emotional 652 00:31:29,519 - > 00:31:32,319 side rather than the questions can be very formulaic. 653 00:31:32,640 - > 00:31:37,440 So thinking a little bit wider around that uh the human side of 654 00:31:37,440 - > 00:31:39,680 what someone's bringing to a role rather than just taking the 655 00:31:39,680 - > 00:31:41,920 boxes of what they've done in their career. 656 00:31:42,160 - > 00:31:47,839 I think we all know sort of within businesses, it's you 657 00:31:47,839 - > 00:31:52,559 know, one negative personality type can actually really affect 658 00:31:52,640 - > 00:31:56,480 the whole environment or the whole kind of energy of a team. 659 00:31:56,720 - > 00:31:59,759 So I think having those different dynamics can really, 660 00:31:59,839 - > 00:32:00,960 really make a difference. 661 00:32:01,200 - > 00:32:02,240 I think I give you the example. 662 00:32:02,319 - > 00:32:04,720 I know you haven't watched this program, but the traitors, which 663 00:32:04,720 - > 00:32:08,400 is very, very popular program on TV, and actually, you know, 664 00:32:08,559 - > 00:32:12,240 using that as a kind of lowbrow example, the most interesting 665 00:32:12,240 - > 00:32:14,880 people, you know, everyone gets put in a house and they have to 666 00:32:14,880 - > 00:32:17,519 play a game to see who's the traitor and who's the faithful. 667 00:32:17,680 - > 00:32:20,160 The most interesting personalities in that were the 668 00:32:20,319 - > 00:32:22,559 absolutely the middle-aged and older women. 669 00:32:22,960 - > 00:32:25,119 And you know, the young people were fun as well. 670 00:32:25,279 - > 00:32:28,000 But when when all of those characters were gone, it was 671 00:32:28,000 - > 00:32:29,759 quite flat and one note. 672 00:32:30,079 - > 00:32:32,319 So, you know, that really made me laugh because I was like, 673 00:32:32,400 - > 00:32:34,960 actually, these women, they don't really care about what 674 00:32:34,960 - > 00:32:36,079 people think about them anymore. 675 00:32:36,160 - > 00:32:39,119 Their personalities are just kind of who they are, they're 676 00:32:39,119 - > 00:32:41,519 not trying too hard, they're not worrying about anything. 677 00:32:41,680 - > 00:32:45,359 So I think it's like let's think about those dynamics and and 678 00:32:45,359 - > 00:32:46,960 what makes things interesting. 679 00:32:47,200 - > 00:32:51,839 When I was at PsychCorp, our office manager was in her 680 00:32:51,839 - > 00:32:56,000 mid-60s, and she was the one that brought the whole office 681 00:32:56,000 - > 00:32:56,480 together. 682 00:32:56,640 - > 00:32:57,920 She was hilarious. 683 00:32:58,240 - > 00:33:03,599 She spoke to the CEO in a way that no one else dared to by you 684 00:33:03,599 - > 00:33:06,400 know, telling him off and not tidying up his desk and things. 685 00:33:06,480 - > 00:33:10,319 And she was always bringing in hilarious cakes and games, and 686 00:33:10,319 - > 00:33:14,400 and you know, she really made that office such a fun, warm 687 00:33:14,400 - > 00:33:14,960 place to work. 688 00:33:15,119 - > 00:33:18,720 So I think people need to think about those elements of of the 689 00:33:18,720 - > 00:33:22,079 workplace culture and not just thinking, hey, we just want an 690 00:33:22,079 - > 00:33:26,240 office full of like 20 to 30 year olds, you know, who maybe 691 00:33:26,240 - > 00:33:29,200 are all thinking the same things or competitive or I don't know 692 00:33:29,279 - > 00:33:30,400 at certain stages. 693 00:33:30,559 - > 00:33:32,720 I mean, I'm trying not to generalize because everyone is 694 00:33:32,720 - > 00:33:33,119 different. 695 00:33:33,200 - > 00:33:37,359 Um but yeah, I I think it's think more widely around that 696 00:33:37,359 - > 00:33:41,119 culture and and the type of dynamics you can bring in by a 697 00:33:41,119 - > 00:33:43,440 range of people, range of ages. 698 00:33:44,720 - > 00:33:47,920 SPEAKER_01: I think we have to be aware that currently we have 699 00:33:47,920 - > 00:33:52,079 probably five different generations in the workforce all 700 00:33:52,079 - > 00:33:52,960 at the same time. 701 00:33:53,279 - > 00:33:58,079 People who are 18, 20, straight after school or universities, 702 00:33:58,319 - > 00:34:03,839 and also people who are 65 or even older who may not be able 703 00:34:03,839 - > 00:34:07,839 to retire immediately, let's say due to pensions in the UK. 704 00:34:08,320 - > 00:34:10,880 And it is an interesting dynamics. 705 00:34:10,960 - > 00:34:13,679 But as you said, there is something so amazing about 706 00:34:13,679 - > 00:34:16,320 having all of those generations together. 707 00:34:16,559 - > 00:34:19,760 If we take it through the approach or perspective of, you 708 00:34:19,760 - > 00:34:22,639 know, it's it's amazing, it's beneficial having that 709 00:34:22,639 - > 00:34:26,400 diversity, having some of those interesting characters or or 710 00:34:26,400 - > 00:34:30,400 role models who are who are having life wisdom and, of 711 00:34:30,400 - > 00:34:31,920 course, career expertise. 712 00:34:32,000 - > 00:34:37,119 But it is incredibly different having those maybe perhaps older 713 00:34:37,119 - > 00:34:40,960 people mentoring younger, doing the reverse mentoring. 714 00:34:41,199 - > 00:34:46,320 I remember in the early days of my career, I had a mentor who 715 00:34:46,320 - > 00:34:49,679 was at that time in her 60s, and I was much younger. 716 00:34:49,840 - > 00:34:53,360 And that was the best time for me, just trying to get some of 717 00:34:53,679 - > 00:34:55,760 trying to soak some of her wisdom. 718 00:34:56,000 - > 00:34:58,079 That was incredibly useful. 719 00:34:58,320 - > 00:35:02,400 I'm not sure that I'm having the same opportunity these days 720 00:35:02,639 - > 00:35:05,599 because I don't see that huge diversity in the workspace. 721 00:35:05,840 - > 00:35:09,920 It's an enormous benefit for diversity of our teams, just 722 00:35:09,920 - > 00:35:12,320 bringing so many different generations and perspectives 723 00:35:12,320 - > 00:35:12,880 together. 724 00:35:13,199 - > 00:35:13,920 SPEAKER_00: Yeah, definitely. 725 00:35:14,079 - > 00:35:17,039 And I would say actually, you know, where I am contentful, are 726 00:35:17,199 - > 00:35:18,320 doing that really well. 727 00:35:18,480 - > 00:35:21,280 There's there is a range of people there. 728 00:35:21,440 - > 00:35:24,800 Obviously, with you know, with sales and maybe the BDR teams, 729 00:35:24,880 - > 00:35:27,119 that you you're gonna expect that to be younger. 730 00:35:27,199 - > 00:35:30,559 But certainly in my team, it's it's a range of ages with within 731 00:35:30,559 - > 00:35:31,920 that team as well. 732 00:35:32,000 - > 00:35:35,119 So, and I I think during my interview process there, I never 733 00:35:35,119 - > 00:35:36,239 felt that that was an issue. 734 00:35:36,400 - > 00:35:39,119 They looked at my skills, they looked at what I could could 735 00:35:39,119 - > 00:35:39,360 bring. 736 00:35:39,519 - > 00:35:44,239 So I I couldn't speak more highly of of how they were very 737 00:35:44,239 - > 00:35:48,880 open to just really kind of not even kind of thinking about that 738 00:35:48,880 - > 00:35:49,840 within the process. 739 00:35:50,000 - > 00:35:53,440 So there are businesses that are doing it, doing it very, very 740 00:35:53,440 - > 00:35:56,800 well and and seeing the benefits, and then others that I 741 00:35:56,800 - > 00:35:59,760 certainly felt when I was interviewing that just you know 742 00:36:00,079 - > 00:36:04,079 were put off, or uh, you know, which I was dismissed very, very 743 00:36:04,079 - > 00:36:04,639 immediately. 744 00:36:04,719 - > 00:36:07,519 And I'm sure that was one of the reasons, although they'd never 745 00:36:07,519 - > 00:36:10,320 officially be allowed to say that, but you know, certainly 746 00:36:10,320 - > 00:36:13,840 resonated with when I spoke to other people applying for 747 00:36:13,840 - > 00:36:16,000 similar roles at those particular companies. 748 00:36:16,079 - > 00:36:18,079 They they had the same experience. 749 00:36:18,800 - > 00:36:21,760 SPEAKER_01: Well, I'm glad that experience is behind you, and 750 00:36:21,760 - > 00:36:26,639 and you managed to get yourself back on career tracking in a 751 00:36:26,639 - > 00:36:30,320 company that obviously has a very good culture and values 752 00:36:30,320 - > 00:36:32,400 different types of diversities. 753 00:36:32,639 - > 00:36:36,719 Uh, kind of luckily you you didn't end up with some of those 754 00:36:36,719 - > 00:36:40,400 companies that that are working in that way, which is a kind of 755 00:36:40,400 - > 00:36:43,119 a positive spin on the whole negative experience of 756 00:36:43,519 - > 00:36:45,760 interviewing a lot during layoffs. 757 00:36:46,000 - > 00:36:50,159 As we are wrapping up, I I wonder what would be your kind 758 00:36:50,159 - > 00:36:54,960 of parting words or a message for women who may find 759 00:36:54,960 - > 00:36:59,280 themselves currently in a similar position, either coming 760 00:36:59,280 - > 00:37:04,320 into workforce from taking a break or from being laid off or 761 00:37:04,320 - > 00:37:08,159 just experiencing ageism in interviews. 762 00:37:09,360 - > 00:37:10,639 SPEAKER_00: Yeah, it's difficult. 763 00:37:10,719 - > 00:37:13,599 I mean, I think it's just about being tenacious and not giving 764 00:37:13,599 - > 00:37:13,760 up. 765 00:37:13,920 - > 00:37:17,119 So, you know, I had days where I I just thought I'm never gonna 766 00:37:17,119 - > 00:37:19,280 get a job, and I just felt really down. 767 00:37:19,599 - > 00:37:22,800 I was thinking, I've got so much to give, and you know, I I 768 00:37:22,800 - > 00:37:24,639 really started doubting my confidence. 769 00:37:24,880 - > 00:37:28,159 I actually invested in an interview coach, which was 770 00:37:28,159 - > 00:37:29,119 really, really useful. 771 00:37:29,360 - > 00:37:33,440 It was it was it wasn't too expensive, but that really 772 00:37:33,440 - > 00:37:37,280 brought my confidence back because uh I realized I was 773 00:37:37,280 - > 00:37:40,000 overcompensating, I was answering the questions far too 774 00:37:40,000 - > 00:37:41,840 long, I was going into too much detail. 775 00:37:42,320 - > 00:37:45,920 This person just managed to bring me right back into you 776 00:37:45,920 - > 00:37:48,559 know how answering these questions in the right way, 777 00:37:48,719 - > 00:37:50,960 being more succinct and going through mock interviews. 778 00:37:51,039 - > 00:37:54,400 So that was, I would say don't be scared to invest in something 779 00:37:54,400 - > 00:37:56,480 like that if you're feeling a little bit lost. 780 00:37:56,719 - > 00:38:00,639 And I think also, you know, just hold out for those companies 781 00:38:00,639 - > 00:38:02,719 that have a good track record. 782 00:38:03,119 - > 00:38:06,800 I would say in the first few minutes of an interview, if 783 00:38:06,800 - > 00:38:09,599 someone is making you feel uncomfortable, you you know 784 00:38:09,599 - > 00:38:11,679 pretty much straight away that that's not the right business 785 00:38:11,679 - > 00:38:11,920 for you. 786 00:38:12,079 - > 00:38:14,639 I I had interviews like that where I thought, is it me? 787 00:38:14,800 - > 00:38:18,079 And then when I look back, I think actually it wasn't me 788 00:38:18,320 - > 00:38:20,239 because I'm interviewing people at the moment. 789 00:38:20,400 - > 00:38:24,079 I go out of my way to never make someone feel that level of 790 00:38:24,079 - > 00:38:26,559 discomfort that some people made me feel in an interview. 791 00:38:26,719 - > 00:38:29,440 So I think it's sort of yeah, look for those positive 792 00:38:29,440 - > 00:38:30,079 experiences. 793 00:38:30,239 - > 00:38:31,199 It's not you. 794 00:38:31,679 - > 00:38:35,199 Invest in yourself, invest in some coaching, and just be 795 00:38:35,199 - > 00:38:37,840 tenacious until you find the right role within the right 796 00:38:37,840 - > 00:38:38,480 company. 797 00:38:39,840 - > 00:38:40,719 SPEAKER_01: I like that one. 798 00:38:40,880 - > 00:38:41,440 It's not you. 799 00:38:41,519 - > 00:38:42,639 Well, it's them, right? 800 00:38:44,239 - > 00:38:46,159 Be tenacious, Caroline. 801 00:38:46,239 - > 00:38:48,159 This was such an enjoyable conversation. 802 00:38:48,320 - > 00:38:51,599 Thank you so much for sharing your experiences with us all 803 00:38:51,599 - > 00:38:52,079 today. 804 00:38:52,559 - > 00:38:54,000 SPEAKER_00: Thank you for giving me the chance. 805 00:38:54,079 - > 00:38:55,119 It's been it's been great. 806 00:38:55,199 - > 00:38:57,519 I I hope it resonates with some people. 807 00:38:59,840 - > 00:39:02,559 SPEAKER_01: Thank you for listening to today's episode. 808 00:39:02,800 - > 00:39:07,119 I really appreciate you taking time to learn something new and 809 00:39:07,119 - > 00:39:09,840 propel your career in customer success and beyond. 810 00:39:10,000 - > 00:39:13,760 If you like this episode, share it with your colleague, with 811 00:39:13,760 - > 00:39:18,320 your team member, with someone you know needs to hear it today. 812 00:39:18,639 - > 00:39:22,480 We appreciate your support, so please follow us and subscribe 813 00:39:22,480 - > 00:39:26,480 to our channels so many more women can hear about it.
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