Meeting Title: Brainforge x Haley Recruitment Discussion Date: 2026-03-27 Meeting participants: Haley, Kaela Gallagher
WEBVTT
1 00:00:35.980 ⇒ 00:00:37.590 Kaela Gallagher: Hey, Haley, how’s it going?
2 00:00:37.590 ⇒ 00:00:41.559 Haley: How’s it going? Hello! I’m doing good, how’s it going?
3 00:00:41.560 ⇒ 00:00:49.769 Kaela Gallagher: Good! Thanks for taking the time to meet with me, appreciate it. We were connected through Jasmine, right?
4 00:00:49.770 ⇒ 00:00:50.230 Haley: Yes!
5 00:00:50.230 ⇒ 00:00:51.190 Kaela Gallagher: Yay!
6 00:00:52.060 ⇒ 00:00:55.599 Kaela Gallagher: Okay, awesome! And you guys work together at, TikTok?
7 00:00:55.600 ⇒ 00:00:56.590 Haley: Yes, currently.
8 00:00:56.590 ⇒ 00:00:57.210 Kaela Gallagher: Okay.
9 00:00:57.580 ⇒ 00:01:12.120 Kaela Gallagher: Okay, cool. Yeah, she mentioned that you are, like, looking for a new opportunity, so excited to get to know, a little bit more about you, but wanted to ask, like, what is putting you on the market for something new?
10 00:01:12.640 ⇒ 00:01:17.849 Haley: Right now, especially with… so, so TikTok has been, like.
11 00:01:18.090 ⇒ 00:01:33.119 Haley: but it’s also very challenging. There’s a lot of, you know, corporate jobs, a lot of reorg, and a lot of new management, so I just feel like I’m a little bit more stuck with the current opportunities. I feel like I’m not able to really, you know.
12 00:01:33.440 ⇒ 00:01:36.930 Haley: Challenge myself in the… in the role right now, if anything, yeah.
13 00:01:37.390 ⇒ 00:01:43.480 Kaela Gallagher: Okay, okay, that makes sense. What have you been doing there? Like, what has been your main role?
14 00:01:43.480 ⇒ 00:02:00.399 Haley: So my main role is pretty similar to Jasmine’s role, so we’re, like, threat analysts technically, but we’re data analysts, and what we do is really search for, like, hard-harm content on the platform. So, I would say that on a day-to-day basis, we use a lot of SQL credits.
15 00:02:00.490 ⇒ 00:02:20.199 Haley: like, look for keywords that’s related to harm content. So this can range from, like, a lot of different things, right? So there’s gonna be, like, child safety, there’s gonna be, like, human smuggling, which is on my feed, and then there’s fraud and scam that was Jasmine on, and then there’s, like, other things, like, you know, misinformation, like, all of these, like.
16 00:02:20.480 ⇒ 00:02:27.629 Haley: things that arise in the platform, but it’s not prevalent. It’s still, like, really important for the company to take down, right? Yeah.
17 00:02:27.630 ⇒ 00:02:28.190 Kaela Gallagher: Yeah.
18 00:02:29.400 ⇒ 00:02:36.229 Kaela Gallagher: Okay, okay, that makes sense. And then prior to TikTok, you were at, Together Labs?
19 00:02:36.230 ⇒ 00:02:37.120 Haley: Yes, yes.
20 00:02:37.120 ⇒ 00:02:38.999 Kaela Gallagher: Okay, what were you doing with them?
21 00:02:39.310 ⇒ 00:02:49.430 Haley: For Together Labs, I would describe myself more of a BI analyst, so business intelligence. This would relate to, like, pulling retention.
22 00:02:49.430 ⇒ 00:03:14.099 Haley: revenue numbers for, like, our CEO, COO, and range from, like, really just working on projects that’s, like, maybe subscription-based, and we want to attract more customers. So on my end, I will pull, like, gather information about the users themselves, like, who have a longer retention time, what can we really target these ads towards, right? So I really want to increase the revenue and the retention in that
23 00:03:14.100 ⇒ 00:03:16.379 Haley: sense. Oh, go ahead.
24 00:03:16.790 ⇒ 00:03:21.279 Haley: building dashboard and tracking this type of information, that’s what I use today.
25 00:03:22.380 ⇒ 00:03:27.409 Kaela Gallagher: Okay, okay, got it. And then you’re based in the Bay right now, right?
26 00:03:28.240 ⇒ 00:03:33.190 Kaela Gallagher: Okay. Are you open to relocating in the future, or do you see yourself in the Bay long-term?
27 00:03:33.190 ⇒ 00:03:39.709 Haley: Honestly, Seize, I am open to relocating in the future. I think it’s an opportunity arises.
28 00:03:39.710 ⇒ 00:03:45.489 Kaela Gallagher: Okay, okay, yeah, the reason I bring that up is because we are currently a fully remote company, we have.
29 00:03:45.490 ⇒ 00:03:45.990 Haley: team members.
30 00:03:45.990 ⇒ 00:03:57.559 Kaela Gallagher: Across the globe, although we’re all, like, working U.S. time zones. But that being said, like, we have quite a few people in LA, and then we have a few people in Austin, including our CEO.
31 00:03:57.560 ⇒ 00:03:58.520 Haley: CEO.
32 00:03:58.520 ⇒ 00:04:09.770 Kaela Gallagher: And so, we’ve been able to just, like, get together and co-work, and that’s been really nice. So, it’s definitely, like, a bonus, I would say, if people are in LA or Austin, or, like, open to relocating.
33 00:04:09.770 ⇒ 00:04:10.440 Haley: Nope, that’s.
34 00:04:10.440 ⇒ 00:04:12.820 Kaela Gallagher: That’s why I ask.
35 00:04:13.080 ⇒ 00:04:30.509 Kaela Gallagher: I will say right now, we, like, our most urgent positions that we’re hiring for are, on the engineering side, so a data engineer and, an analytics engineer, and then also one on, like, the sales side and in terms of partnerships.
36 00:04:30.560 ⇒ 00:04:50.010 Kaela Gallagher: So I don’t currently have any analyst openings, but that being said, we do have analysts on the team, and we are growing fairly quickly. So, I do foresee us, like, hiring another analyst, I would say, probably in the next few months would be, like, a realistic
37 00:04:50.550 ⇒ 00:04:55.979 Kaela Gallagher: estimate. So I would love to stay in touch, for sure, like, when one of those…
38 00:04:55.980 ⇒ 00:04:56.350 Haley: time.
39 00:04:56.350 ⇒ 00:05:01.869 Kaela Gallagher: roles comes up, and we can talk a little bit more about the role specifically, but.
40 00:05:02.540 ⇒ 00:05:21.029 Kaela Gallagher: just to give kind of an overview of, like, Brainforge and what we do, we’re a data and AI consulting company, and so we work with a wide range of clients, mostly small and mid-sized companies, across various industries. We have a few CPG brands, including,
41 00:05:21.170 ⇒ 00:05:25.370 Kaela Gallagher: brands that are sold in, like, Target and Walmart that you’d probably recognize.
42 00:05:25.370 ⇒ 00:05:43.820 Kaela Gallagher: We have, like, healthcare and, you know, B2B SaaS, so, kind of like a wide range of industries that we support. So, somebody that has worked in various industries and is able to, you know, context switch and, like, work on multiple projects at once would definitely be…
43 00:05:43.820 ⇒ 00:05:45.359 Kaela Gallagher: Important to us.
44 00:05:46.790 ⇒ 00:05:55.070 Kaela Gallagher: So yeah, that’s kind of an overview there. Curious if you have, like, any questions about Brainforge, anything I can help answer.
45 00:05:55.070 ⇒ 00:06:03.149 Haley: I guess, first of all, it’s like, how big is the company right now? I know it’s growing really fast, but, like, actual size of the company, like, how many members?
46 00:06:03.150 ⇒ 00:06:06.259 Kaela Gallagher: Yes, I believe we’re about 25 to 30 right now.
47 00:06:06.260 ⇒ 00:06:07.849 Haley: Okay, I see, I see.
48 00:06:07.850 ⇒ 00:06:08.300 Kaela Gallagher: Yes.
49 00:06:08.300 ⇒ 00:06:25.989 Haley: And I guess because it is, like, AI and data consulting, but that means that majority of the work is going towards, like, majority of the workforce is going towards analytics, or, like, just consultingly, or you guys are, like, I guess, different things, we have different
50 00:06:26.160 ⇒ 00:06:30.189 Haley: headcounts, right? So I just want to know how that site balance out right now.
51 00:06:30.350 ⇒ 00:06:46.040 Kaela Gallagher: Yes, so our delivery team, which is, like, our client-facing team, is kind of categorized into three service lines right now. So we have a data team, an AI team, and a strategy and analytics team, which is where our analysts sit.
52 00:06:46.040 ⇒ 00:07:01.559 Kaela Gallagher: And so these teams are, like, able to support the clients that we’re working on. So, for example, if a client needs something data-related, our data team will be supporting that, as well as, you know, probably, like, one or two people from the strategy team as well.
53 00:07:01.810 ⇒ 00:07:19.240 Haley: I see. I’m really interested in knowing how, like, you guys plug in, like, how you guys, like, do these type of strategic consulting with the company. Is it, like, they’re, like, giving you their internal data, and then you’re kind of… you’re doing, like, analytics on it, and then provide, like, recommendations? Like, how’s the workflow like?
54 00:07:19.630 ⇒ 00:07:23.239 Kaela Gallagher: Yeah, so it really depends on the client,
55 00:07:23.440 ⇒ 00:07:27.899 Kaela Gallagher: Some of our clients are, you know, like, shorter term, maybe just a few months, and they’re.
56 00:07:27.900 ⇒ 00:07:28.350 Haley: It’s like a big.
57 00:07:28.350 ⇒ 00:07:44.600 Kaela Gallagher: very, targeted mission for us to accomplish. So in that case, yeah, like, we’re going in, we’re analyzing what needs to be changed, and then what makes us different from, like, different from a traditional consultancy is we actually, like, have
58 00:07:44.710 ⇒ 00:07:50.550 Kaela Gallagher: data and AI engineers that are going to go in and actually implement as well, rather.
59 00:07:50.550 ⇒ 00:07:51.770 Haley: And that’s just providing.
60 00:07:51.770 ⇒ 00:08:03.680 Kaela Gallagher: like, a strategy. So it could be a situation like that, or, like, we have clients we’ve been working with for over a year, and we serve more as, like, an in-house
61 00:08:04.160 ⇒ 00:08:08.009 Kaela Gallagher: So, it just kind of depends on the client, like.
62 00:08:08.540 ⇒ 00:08:12.520 Kaela Gallagher: Our goal is to be, you know, Adaptable to their needs.
63 00:08:12.690 ⇒ 00:08:29.839 Haley: I see. No, that’s really interesting, because I think it totally makes sense, like, given with, like, I know data is arise, like, everywhere, but a lot of companies might be like, oh, instead of hiring a traditional data analyst? It might just make it… makes more sense to consult and use, like, their, like.
64 00:08:30.350 ⇒ 00:08:35.740 Haley: knowledge on AI, too, to really enhance that experience. So, this totally makes sense to me, yeah.
65 00:08:35.740 ⇒ 00:08:40.419 Kaela Gallagher: Okay, okay, cool. Yeah, any other, like, questions I could help answer?
66 00:08:40.469 ⇒ 00:08:45.779 Haley: I think, yeah, like, let’s keep in touch on the opportunities.
67 00:08:46.059 ⇒ 00:08:49.829 Haley: Talk about other roles, too, if you feel like there’s a message for me, but yeah.
68 00:08:50.330 ⇒ 00:09:08.089 Kaela Gallagher: Okay, cool. Yeah, and, obviously, like, you know Jasmine as well, and, she’s gonna be helping build out, like, our kind of strategy side of the business a little bit further, too, so she’ll have a really good, like, pulse of what, you know, if a new role comes up or anything like that.
69 00:09:08.090 ⇒ 00:09:15.919 Kaela Gallagher: just curious, like, what is the compensation range that you’re looking at? Just so I can be sure to reach out with, like, relevant…
70 00:09:16.280 ⇒ 00:09:24.750 Haley: I think right now, I would save anywhere around 100… 70 plus…
71 00:09:25.470 ⇒ 00:09:28.060 Haley: I would say that’s, like, the baseline.
72 00:09:28.650 ⇒ 00:09:29.200 Kaela Gallagher: Okay.
73 00:09:29.200 ⇒ 00:09:29.950 Haley: Okay.
74 00:09:29.950 ⇒ 00:09:40.219 Kaela Gallagher: That makes sense. Cool. Well, I am so excited to have met you, I’m so glad Jasmine put us in touch, and yeah, I’ll let you know as soon as we have something that…
75 00:09:40.840 ⇒ 00:09:42.019 Kaela Gallagher: Of interest to you.
76 00:09:42.020 ⇒ 00:09:43.490 Haley: Thank you so much.
77 00:09:43.490 ⇒ 00:09:46.169 Kaela Gallagher: Yeah, thank you for your time. I hope you have a great weekend.
78 00:09:46.170 ⇒ 00:09:47.050 Haley: Me too.
79 00:09:47.050 ⇒ 00:09:47.620 Kaela Gallagher: Alright.
80 00:09:47.620 ⇒ 00:09:47.970 Haley: Thanks, Anne.
81 00:09:47.970 ⇒ 00:09:49.180 Kaela Gallagher: Bye.