Meeting Title: Brainforge Recruitment Chat with Simon Date: 2026-03-26 Meeting participants: Simon Ochoa, Kaela Gallagher
WEBVTT
1 00:01:03.920 ⇒ 00:01:04.950 Kaela Gallagher: Hey, son.
2 00:01:05.290 ⇒ 00:01:06.510 Kaela Gallagher: How’s it going?
3 00:01:06.850 ⇒ 00:01:08.030 Simon Ochoa: Pretty good, how are you?
4 00:01:08.030 ⇒ 00:01:20.350 Kaela Gallagher: Good! Thanks for taking some time to meet with me, appreciate it. I’m excited that Jasmine was able to connect us. You guys, have worked together at TikTok, right?
5 00:01:20.500 ⇒ 00:01:21.050 Simon Ochoa: Correct, yeah.
6 00:01:21.050 ⇒ 00:01:22.929 Kaela Gallagher: Okay. Okay, cool.
7 00:01:22.930 ⇒ 00:01:26.990 Simon Ochoa: San Francisco, or… are you on the East Coast or West Coast?
8 00:01:27.200 ⇒ 00:01:28.589 Kaela Gallagher: I’m based in LA.
9 00:01:28.590 ⇒ 00:01:29.430 Simon Ochoa: Okay, okay.
10 00:01:29.430 ⇒ 00:01:31.860 Kaela Gallagher: Yeah, and you’re in D.C?
11 00:01:31.860 ⇒ 00:01:41.499 Simon Ochoa: Yeah, well, technically, Arlington, I don’t know if you know, it’s, like, where the skyscrapers are, and then DC’s, like, you can’t go over 10 stories, so it’s, like, right over the river, basically.
12 00:01:41.500 ⇒ 00:01:41.890 Kaela Gallagher: Yay.
13 00:01:41.890 ⇒ 00:01:43.250 Simon Ochoa: Basically DC, yeah.
14 00:01:43.250 ⇒ 00:01:44.899 Kaela Gallagher: Okay, how do you like it there?
15 00:01:45.150 ⇒ 00:01:50.769 Simon Ochoa: I like it a lot. Yeah, it’s… I mean, the weather is a little crazy, it’s very…
16 00:01:50.770 ⇒ 00:01:51.480 Kaela Gallagher: Yeah.
17 00:01:51.650 ⇒ 00:01:52.739 Kaela Gallagher: I get sick. Yeah.
18 00:01:52.740 ⇒ 00:01:59.490 Simon Ochoa: one day, I think, like, two weeks ago, it was, like, 83 degrees, and then it hit, like, below freezing the next day, with snow, so…
19 00:01:59.930 ⇒ 00:02:05.899 Simon Ochoa: It’s a little crazy, but once it hits, like, around this time, right now it’s, like, perfect. I think it’s, like, 70, so…
20 00:02:05.900 ⇒ 00:02:06.780 Kaela Gallagher: But it doesn’t…
21 00:02:06.780 ⇒ 00:02:09.359 Simon Ochoa: Definitely doesn’t compare to LA weather, that’s for sure.
22 00:02:09.570 ⇒ 00:02:17.049 Kaela Gallagher: Yeah. I actually visited, Arlington once, and it was in the summer, and it was, like.
23 00:02:17.200 ⇒ 00:02:25.180 Kaela Gallagher: crazy thunderstorms and, like, just insane weather, but I did really like it. It was a really cute, cute town.
24 00:02:25.180 ⇒ 00:02:27.099 Simon Ochoa: Was it very humid?
25 00:02:27.100 ⇒ 00:02:29.779 Kaela Gallagher: Super humid, it was August, yeah.
26 00:02:29.780 ⇒ 00:02:40.239 Simon Ochoa: Yeah, it’s, like, the worst part of DC, because it was built by a swamp, so it’s very humid, and lots of mosquitoes. Not as much, like, in DC, but in this area, there’s a lot of them, so…
27 00:02:40.240 ⇒ 00:02:59.049 Kaela Gallagher: Yes, yes. Alrighty, well, yeah, excited to… to connect and, like, learn a little bit more about you. I can tell you a little bit more about Brainforge as well. But I guess just starting off, like, what is making you interested in, like, looking for a new role at this point?
28 00:02:59.730 ⇒ 00:03:16.669 Simon Ochoa: Yeah, so, I mean, I’ve been in the, I guess, the trust and safety space for most of my career. It’s been pretty, it’s been an interesting ride, and I’ve enjoyed it, and I still feel very passionate about it. But, I also feel like this type of role, this type of work, is very topical right now.
29 00:03:16.680 ⇒ 00:03:34.689 Simon Ochoa: In a place where there’s a lot of opportunity, a lot of expansion, and I think I would really enjoy… again, I don’t know exactly what this role would entail, but I think I would really enjoy, a new opportunity where I’m able to, I guess, work with clients and businesses to try to understand what their needs are.
30 00:03:34.690 ⇒ 00:03:59.660 Simon Ochoa: and try to develop, solutions. And it’s kind of… kind of reflects what I’m doing right now, just in another way. And I’ve also worked at a company called FiveCast before TikTok, where we worked directly with, U.S. government agencies on a… like, the company was building a tool, an AI-powered tool, so I have a lot of experience also working directly with various clients, in this case, agencies, trying to understand their needs, build out their workflows, build out their solutions.
31 00:03:59.660 ⇒ 00:04:17.150 Simon Ochoa: and then also take those errors or those problems as gaps over on my end to investigate further. It’s over to software engineers to kind of figure out solutions and bugs and stuff like that. So in general, I just think it would be a really interesting opportunity and a cool pivot in general, yeah.
32 00:04:17.350 ⇒ 00:04:41.820 Kaela Gallagher: Yeah, yeah, I guess, like, on that topic, to tell you a little bit more about, like, Brainforge and what we’re doing, we are, like, a data and AI consulting firm, so we work with a variety of clients across different industries, mostly, like, small and mid-sized companies, although we do, like, work with some, like, CPG brands that, you know, are in, like, Target and Walmart, like, you would recognize the names.
33 00:04:43.810 ⇒ 00:04:54.079 Kaela Gallagher: And we provide, like, 3 different service lines to these clients. One is data, one is AI, and one is, like, strategy and analytics.
34 00:04:54.080 ⇒ 00:05:17.260 Kaela Gallagher: Oftentimes, like, those are overlapping, we’re providing more than one service for, clients, but that’s kind of how we’re structured, right now. We’re fully remote currently, but we are, like, building a little bit of a presence, like, here in LA as well as in Austin, so definitely a bonus if candidates are already in those locations or, like, willing to relocate.
35 00:05:17.470 ⇒ 00:05:21.369 Simon Ochoa: Yeah, I’d be open to LA or Austin. Those are cool, cool spots to be.
36 00:05:21.370 ⇒ 00:05:23.560 Kaela Gallagher: Okay, cool.
37 00:05:24.100 ⇒ 00:05:43.300 Kaela Gallagher: And then in terms of the roles that we’re hiring for most actively right now, we do have engineering needs, so data engineer, AI engineer, analytics engineer, those are definitely needs for us, as our clients are growing, and then…
38 00:05:43.450 ⇒ 00:05:47.079 Kaela Gallagher: On the strategy side right now, we’re looking for…
39 00:05:47.210 ⇒ 00:05:51.090 Kaela Gallagher: what we call CSOs, Client Success Owners.
40 00:05:51.100 ⇒ 00:05:52.870 Kaela Gallagher: And these…
41 00:05:52.870 ⇒ 00:06:13.430 Kaela Gallagher: people, you know, ideally have maybe a technical background, maybe they’ve been a data analyst, or, and, worked in, like, the analytics space, but truly, they are kind of account management, business development with our clients, like, they are the face of Brainforge to our client, and managing all the work streams.
42 00:06:13.430 ⇒ 00:06:17.299 Kaela Gallagher: For probably, like, 2 to 3 clients, depends.
43 00:06:17.300 ⇒ 00:06:17.830 Simon Ochoa: Okay.
44 00:06:18.370 ⇒ 00:06:24.529 Kaela Gallagher: So that’s kind of our main, need right now on… on the strategy side.
45 00:06:25.000 ⇒ 00:06:41.469 Simon Ochoa: Okay, yeah, I mean, all that sounds interesting. I think I could, from my perspective, plug into a lot of these roles. But yeah, I don’t know what you think is the best fit. I can expand on some of my experience and stuff like that. I don’t know what you’re thinking, but, yeah, they all sound really interesting.
46 00:06:41.850 ⇒ 00:06:46.689 Kaela Gallagher: Yeah, I guess, like, based off of the roles that I’ve mentioned so far.
47 00:06:47.110 ⇒ 00:06:52.510 Kaela Gallagher: What one sounds like of most interest, or maybe most alignment with your background?
48 00:06:52.510 ⇒ 00:06:53.350 Simon Ochoa: Rob…
49 00:06:53.490 ⇒ 00:07:05.799 Simon Ochoa: Can you expand a little bit on the… and I hope it’s okay if I’m taking notes, I’ve just been jotting things down. Can you expand a little bit on the AI engineer? What that role entails, and what the, like.
50 00:07:06.410 ⇒ 00:07:10.110 Simon Ochoa: Like, yeah, and then I’m also interested in the CSO role, I guess.
51 00:07:10.400 ⇒ 00:07:29.929 Kaela Gallagher: Okay, yeah, so the AI engineer is, like, very hands-on, kind of deep technical, knowledge. We understand that, like, AI is new, but, we would need to see evidence of, you know, developing, like, LLM-based features and
52 00:07:29.930 ⇒ 00:07:33.540 Kaela Gallagher: You know, building frameworks,
53 00:07:34.550 ⇒ 00:07:40.520 Kaela Gallagher: you know, like, RAG and semantic search, and then either, like.
54 00:07:40.680 ⇒ 00:07:46.600 Kaela Gallagher: Python knowledge or TypeScript knowledge is what most of our, like, AI team has a background in.
55 00:07:46.850 ⇒ 00:07:49.310 Kaela Gallagher: So, like, truly an engineering role.
56 00:07:49.310 ⇒ 00:07:58.219 Simon Ochoa: Okay, yeah, then I think I might be a stronger fit for some of the other ones, then. Can you expand on the analytics engineer?
57 00:07:59.070 ⇒ 00:08:08.290 Kaela Gallagher: Yes, so the analytics engineer role sits within our data team, but is going to be focused on, like.
58 00:08:08.500 ⇒ 00:08:22.229 Kaela Gallagher: BI tooling, we use something called, like, Omni, most frequently with our clients, like, building ETL pipelines using DBT,
59 00:08:22.840 ⇒ 00:08:34.190 Kaela Gallagher: And then, you know, being super familiar with, like, general kind of coding knowledge, working within GitHub, and, using tools like, like Figma and.
60 00:08:34.190 ⇒ 00:08:34.590 Simon Ochoa: Okay.
61 00:08:34.740 ⇒ 00:08:36.859 Kaela Gallagher: Other, like, relevant data stacks.
62 00:08:37.090 ⇒ 00:08:41.110 Kaela Gallagher: Okay. Oh, and Snowflake is the, like, warehouse that we use.
63 00:08:41.110 ⇒ 00:08:50.419 Simon Ochoa: Okay, good to know. And then can you… I’m just honestly curious about all of them, if we can just… Yeah. The data engineer, can you give the background on that, too?
64 00:08:50.750 ⇒ 00:09:00.809 Kaela Gallagher: So the data engineer one is going to be pretty similar to the analytics engineering one, but, instead of being more focused on maybe, like.
65 00:09:01.040 ⇒ 00:09:13.749 Kaela Gallagher: BI and dashboarding and Omni, the data engineer one is more focused on, like, true data engineering, working within cloud platforms, you know, SQL, Python, Spark, Airflow, like, very kind of…
66 00:09:14.040 ⇒ 00:09:17.950 Kaela Gallagher: What you might think of as, like, standard data engineering.
67 00:09:18.320 ⇒ 00:09:26.729 Simon Ochoa: Okay, yeah, seems interesting. And then, yeah, can you expand on the CSO role as well? Because that one seems really interesting.
68 00:09:26.940 ⇒ 00:09:38.799 Kaela Gallagher: Yeah, so the CSO is, like I said, like, the direct contact for our clients for Brainforge. So, let’s say, like, with one,
69 00:09:38.800 ⇒ 00:09:50.280 Kaela Gallagher: client, we are working on, like, a marketing technology tool with them, and we’re also doing DBT and some data work, and maybe we’re also doing, like, an AI chatbot feature.
70 00:09:50.420 ⇒ 00:10:03.349 Kaela Gallagher: the CSO is kind of overseeing all of those work streams, timelines, and then, like, making sure the client is happy, so if it’s possible, you know, coffee or lunch, but, we’re remote, so…
71 00:10:03.360 ⇒ 00:10:11.070 Kaela Gallagher: probably just calling, checking in, and managing, like, the relationship. And then also being able to, like.
72 00:10:11.130 ⇒ 00:10:18.349 Kaela Gallagher: sell new work to them, or, like, expand our scope with, like, additional SOW.
73 00:10:18.510 ⇒ 00:10:37.029 Simon Ochoa: Okay, yeah. I mean, I think the analytics engineer or the CSO role speaks to me, and I can speak to a little bit on why I think that strategy role, the CSO role, would be good. Yeah. So, like, I… you know, I’ll give, for example, the timeline of 2025. So, historic, like.
74 00:10:37.030 ⇒ 00:10:52.879 Simon Ochoa: There might not be a lot of context here for you, but historically, like, the sextortion, space has been neglected and ignored because there wasn’t a lot of… from our perspective, a team perspective, we’re trying to get metrics, we’re trying to get volume, and there just wasn’t a lot of,
75 00:10:52.880 ⇒ 00:11:08.800 Simon Ochoa: success there. And I was actually told not to focus on that. But that being said, I found a gap, I found a way to kind of build out a detection, figured out who the correct stakeholders were, and did something that had never been launched before.
76 00:11:09.790 ⇒ 00:11:31.190 Simon Ochoa: got the correct POCs, built the dashboards, had the technical background to speak to the software engineers where we required new tooling, had the data background to create the detection itself, but then also had the expertise to loop in the correct people, was able to launch new policies to ensure that the detection was able to launch.
77 00:11:31.190 ⇒ 00:11:47.859 Simon Ochoa: And then also work with vendors as well on a pretty consistent basis, talking to them, trying to understand what their needs are, and then also various NGOs and law enforcement as well, to make sure that everything is kind of aligned where it needs to be. And I realize that isn’t, like, a direct one-to-one, but I think that experience
78 00:11:47.860 ⇒ 00:11:57.999 Simon Ochoa: could be pretty useful in a role like this. And I’m also, you know, a quick learner, and I think, in general, my background would be pretty strong for that.
79 00:11:58.000 ⇒ 00:12:15.150 Kaela Gallagher: Okay. Yeah. Okay, cool. Just throwing it out there, too, like, another role that we have on the team right now, which we don’t have, like, a super urgent need for, but I would definitely see us hiring for this maybe, you know, a few months from now, is we have…
80 00:12:15.220 ⇒ 00:12:22.010 Kaela Gallagher: I guess you could call them, like, data slash product analysts? We just call them analysts on the team.
81 00:12:22.010 ⇒ 00:12:22.390 Simon Ochoa: Yeah.
82 00:12:22.390 ⇒ 00:12:25.420 Kaela Gallagher: And they’re doing, like, a lot of, like.
83 00:12:25.830 ⇒ 00:12:39.830 Kaela Gallagher: dashboarding and analysis and kind of, like, hands-on work with our clients. So, they sit within our, like, strategy team and partner directly with CSOs to,
84 00:12:40.360 ⇒ 00:12:52.879 Kaela Gallagher: you know, produce… produce, deliverables for our clients. So that’s another role that we do have. We have two people in that role currently, and, you know, I could see us hiring for that again in the future, too.
85 00:12:52.880 ⇒ 00:12:54.990 Simon Ochoa: As we expand.
86 00:12:56.590 ⇒ 00:12:59.360 Kaela Gallagher: Oh, go ahead.
87 00:12:59.360 ⇒ 00:13:02.660 Simon Ochoa: No, I was just gonna say, yeah, that sounds like an interesting role as well.
88 00:13:02.660 ⇒ 00:13:09.769 Kaela Gallagher: Okay. Does that sound, like, more of interest to you than a CSO role, or I guess.
89 00:13:09.770 ⇒ 00:13:16.010 Simon Ochoa: I just would… I think… I think the date… I think both would be pretty interesting. Okay.
90 00:13:16.200 ⇒ 00:13:24.240 Simon Ochoa: I think the CSO role more, but, okay. If there’s more info on the product analyst role as well, that would be interesting.
91 00:13:24.240 ⇒ 00:13:24.720 Kaela Gallagher: Okay.
92 00:13:24.720 ⇒ 00:13:29.419 Simon Ochoa: I have somewhat of a product background as well, which I think would translate well to both roles.
93 00:13:29.690 ⇒ 00:13:48.779 Kaela Gallagher: Yeah, I mean, what I can do is… is, like, the way that our interview process is structured is we do three rounds. The first one, kind of an intro, like, learning about your experience and understanding if you’re, like, a cultural fit for Brain Forge. The second one is diving in a little bit, like, further to kind of your technical experience.
94 00:13:48.930 ⇒ 00:14:05.399 Kaela Gallagher: Obviously, like, these kinds of positions wouldn’t have any, like, coding or anything like that, but, like, really kind of diving in deeper, to, like, relevant projects, and then the final round is we give you, like, a take-home challenge, and, you come and kind of present a solution to a panel.
95 00:14:05.810 ⇒ 00:14:16.760 Kaela Gallagher: So, the first round is with one of our analysts, and the second round is with one of our CSOs. So, going through that process, too, like, you might be able to understand
96 00:14:17.130 ⇒ 00:14:30.389 Kaela Gallagher: you know, which of the roles is a better fit, and like I said, like, we’re not hiring an analyst right now, but if we do decide that that might be better aligned for you, like, we can definitely stay in touch, you know, for a couple months from now when that might be open.
97 00:14:30.660 ⇒ 00:14:32.560 Simon Ochoa: Yeah, that makes sense with me. That works with me.
98 00:14:32.880 ⇒ 00:14:34.479 Kaela Gallagher: Okay. Okay.
99 00:14:34.680 ⇒ 00:14:39.189 Kaela Gallagher: Cool. Any, like, other questions that I can help answer.
100 00:14:39.190 ⇒ 00:14:45.450 Simon Ochoa: have some, just kind of the company in general, if, yeah. Yeah, let’s see…
101 00:14:47.370 ⇒ 00:14:59.039 Simon Ochoa: So, like, I guess, like, can you give a background or, like, an example on, like, a specific… and I don’t know if you can share this, but, like, a specific client, and how you guys figured out what their needs should be, and then how…
102 00:14:59.390 ⇒ 00:15:02.430 Simon Ochoa: You guys developed a solution, basically, for him?
103 00:15:03.210 ⇒ 00:15:20.090 Kaela Gallagher: Yeah, I will say, so I just joined the company, like, a month ago, and I don’t do any hands-on client work. I’m solely, like, people and recruiting, so, I think that would be a good question for Amber, who would… who you would speak with, like, in our first round.
104 00:15:20.310 ⇒ 00:15:20.700 Simon Ochoa: Okay.
105 00:15:20.700 ⇒ 00:15:25.140 Kaela Gallagher: She’s, like, directly on our clients and working in an analyst capacity.
106 00:15:25.460 ⇒ 00:15:31.050 Simon Ochoa: Okay, and then for… again, I don’t know if… how much you can answer here,
107 00:15:31.570 ⇒ 00:15:38.330 Simon Ochoa: How do you, I guess, define success for either the CSO role or the analyst role?
108 00:15:39.000 ⇒ 00:15:42.440 Kaela Gallagher: Yeah, that’s… that’s a really good question. I think…
109 00:15:42.730 ⇒ 00:15:53.660 Kaela Gallagher: At Brainforge, you know, we’re 25 people, we move super quickly, and so success is always going to involve, like, ramping up really quickly and, you know, proving your value early on.
110 00:15:53.780 ⇒ 00:16:04.930 Kaela Gallagher: I think specifically for the CSO role, we are going to start measuring, like, how much the CSOs are able to sell additional work.
111 00:16:04.930 ⇒ 00:16:21.129 Kaela Gallagher: I know I mentioned that before, but kind of expanding our scope, or maybe even bringing in a new client, we’re actually going to, like, start assigning kind of, like, a monetary bonus to doing that. So I would say that would be, like, a huge measure of success in that role specifically.
112 00:16:21.420 ⇒ 00:16:32.770 Simon Ochoa: Okay, yeah, that sounds great. And then, what’s the… I don’t know if… because I know we talked about a few roles, like, what’s the general compensation structure, if I can ask that?
113 00:16:33.010 ⇒ 00:16:38.679 Kaela Gallagher: Yeah, depends on the position,
114 00:16:39.040 ⇒ 00:16:51.170 Kaela Gallagher: And we’re also, like I mentioned, like, kind of building out bonus structures for certain roles, so I think the analysts and the CSO positions would look a little bit different. I think our analysts based…
115 00:16:52.060 ⇒ 00:17:06.000 Kaela Gallagher: depending on years of experience, range, like, 90 to 120, and I want to say our CSO base is a higher range, depending on experience, I want to say it’s, like, 120 to 150.
116 00:17:06.000 ⇒ 00:17:06.579 Simon Ochoa: Okay.
117 00:17:06.589 ⇒ 00:17:10.229 Kaela Gallagher: What’s, like, the range that you’re looking within now?
118 00:17:10.630 ⇒ 00:17:16.620 Simon Ochoa: Probably 120, 150, around that, that number. Probably not less than 120.
119 00:17:16.810 ⇒ 00:17:18.839 Kaela Gallagher: Okay, total comp or base?
120 00:17:19.440 ⇒ 00:17:20.910 Simon Ochoa: base.
121 00:17:20.910 ⇒ 00:17:21.500 Kaela Gallagher: Okay.
122 00:17:21.500 ⇒ 00:17:30.569 Simon Ochoa: But, you know, I can be flexible, depending on, like, what that looks like, because I know it’s also a startup, so, like, there’s different incentives and stuff like that.
123 00:17:30.570 ⇒ 00:17:40.739 Kaela Gallagher: Yes, and also, just a heads up, right now, we have everybody on the team on, like, a 1099 basis, so contracting. We are, like.
124 00:17:41.020 ⇒ 00:17:50.070 Kaela Gallagher: starting to convert people over to W-2, but right now, everybody that we’re bringing in, like, new hire-wise, is going to start 1099.
125 00:17:50.210 ⇒ 00:17:53.529 Simon Ochoa: Okay, yeah, that’s totally fine with me. Okay.
126 00:17:53.890 ⇒ 00:18:00.860 Simon Ochoa: And then… let me see… I guess, like, what currently for the company is, like.
127 00:18:01.540 ⇒ 00:18:09.559 Simon Ochoa: your guys’ biggest challenge? Like, what’s the thing that keeps the CEO up at night, or, like, the workers?
128 00:18:11.120 ⇒ 00:18:16.470 Kaela Gallagher: That’s a good question. I think we’re always trying to balance, like.
129 00:18:17.940 ⇒ 00:18:35.999 Kaela Gallagher: you know, doing our best to serve the client, doing what’s best for the company, and then doing what’s best for our people and our team. Yeah. My… I know, like, my biggest focus right now on the people and recruiting side is definitely recruiting. We have, like, some, you know.
130 00:18:36.040 ⇒ 00:18:43.220 Kaela Gallagher: some big gaps on the team right now, like hiring for four roles in the next few weeks is a big challenge. Yeah.
131 00:18:43.690 ⇒ 00:19:03.669 Kaela Gallagher: So, yeah, I think once we, like, have more people on the bus, the workload will be a little bit easier across everybody, so I think that’s a big… a big challenge for us right now, and it’s awesome because we’re signing, like, really exciting deals, but, we’re obviously trying to make sure we can deliver on them with high quality as well.
132 00:19:03.900 ⇒ 00:19:11.620 Simon Ochoa: Awesome. Let me see if I… because I’m trying to figure out, like, a few things, but I think those are all really great answers.
133 00:19:11.910 ⇒ 00:19:20.700 Simon Ochoa: And some of them may be, you know, better for some of the other team members. I know you’re mainly focused on recruiting, but yeah, so I guess those are my main questions right now.
134 00:19:20.810 ⇒ 00:19:21.660 Kaela Gallagher: Okay.
135 00:19:21.660 ⇒ 00:19:22.320 Simon Ochoa: Yeah.
136 00:19:22.690 ⇒ 00:19:36.419 Kaela Gallagher: Okay, cool. Yeah, I’m happy to have you chat with… with Amber. I can send over an email after this with, like, her booking link. Okay. And, if you need anything, like, throughout the whole process at all, just let me know. Here to help however I can.
137 00:19:36.420 ⇒ 00:19:37.839 Simon Ochoa: Awesome, I really appreciate it.
138 00:19:37.840 ⇒ 00:19:38.830 Kaela Gallagher: Yeah.
139 00:19:38.830 ⇒ 00:19:39.150 Simon Ochoa: Talk more.
140 00:19:39.150 ⇒ 00:19:40.809 Kaela Gallagher: Of course, thanks for your time today.
141 00:19:40.810 ⇒ 00:19:41.610 Simon Ochoa: Awesome, thank you.
142 00:19:41.610 ⇒ 00:19:43.610 Kaela Gallagher: Alrighty, thanks. Bye.