Meeting Title: Go-To-Market Team Onboarding Check-In Date: 2026-05-01 Meeting participants: Kaela Gallagher, Miranda Wen
WEBVTT
1 00:00:38.080 ⇒ 00:00:39.910 Miranda Wen: Hi, Kayla! Hi!
2 00:00:40.120 ⇒ 00:00:41.470 Kaela Gallagher: How’s it going?
3 00:00:41.470 ⇒ 00:00:43.170 Miranda Wen: I’ve been good, been good.
4 00:00:43.170 ⇒ 00:00:56.009 Kaela Gallagher: Thanks for taking a few minutes for me. I just wanted to check in as you’re reaching, like, the one-month mark, and, just ask about how it’s been going.
5 00:00:56.010 ⇒ 00:00:58.409 Miranda Wen: Yes, yes, I think, like, it’s being…
6 00:00:58.530 ⇒ 00:01:04.930 Miranda Wen: going well. I feel like the first two weeks are definitely, like, my, like, a very, very confused stage.
7 00:01:04.989 ⇒ 00:01:08.039 Miranda Wen: But I think, like, by third week…
8 00:01:08.050 ⇒ 00:01:27.549 Miranda Wen: And now, like, moving to go-to-market team, I feel like the… the scope, the upload, has been, like, very clear to me, and I feel like all the, blockers I’m facing right now, like, are all, like, very much solvable with, like, the operations team, or from Robert and Utam. So I think I’m on a good track, yeah.
9 00:01:27.550 ⇒ 00:01:35.970 Kaela Gallagher: Okay, oh, I’m so glad to hear that. I’m glad… glad to hear that the transition, it seems like it was kind of the right… right move.
10 00:01:36.520 ⇒ 00:01:44.020 Miranda Wen: Yes, yes, I think definitely, like, the scope and also, like, how it’s gonna be like is a lot,
11 00:01:44.120 ⇒ 00:01:54.109 Miranda Wen: a lot clearer for me, because I feel like… because I also didn’t come from, like, a PM background, and I feel like before, in the AI team.
12 00:01:54.110 ⇒ 00:02:04.869 Miranda Wen: I really don’t know, like, what are the directions to go, and what I’m just, like, more so, like, wanna hear about my opinion in that way, and also I…
13 00:02:05.190 ⇒ 00:02:20.080 Miranda Wen: I was kind of slow on, like, directly, like, shaping prototypes, but I think, like, on go-to-market, we are, like, having, like, the weekly bets so far seems, like, very clear to me, and what we are trying to prioritize seems also very clear to me.
14 00:02:20.450 ⇒ 00:02:24.060 Kaela Gallagher: Okay, okay, that’s good to hear.
15 00:02:24.480 ⇒ 00:02:39.029 Kaela Gallagher: I’m glad you feel like you have it kind of… kind of outlined, and I know it can be tough, too, because obviously, like, we’re… we’re small, things move really quickly, but then I think, inherently, that makes, like, the learning curve when you’re first joining a little bit…
16 00:02:39.230 ⇒ 00:02:48.040 Kaela Gallagher: Tougher, and sometimes it can feel like you almost have to come in already as an expert and just kind of hit the ground running, so…
17 00:02:48.370 ⇒ 00:02:56.499 Kaela Gallagher: I understand that, and I’m glad that this shift has been good and clarifying and structured, so…
18 00:02:56.500 ⇒ 00:02:57.300 Miranda Wen: Oh, yeah.
19 00:02:57.520 ⇒ 00:03:01.069 Kaela Gallagher: Okay, okay, awesome.
20 00:03:01.440 ⇒ 00:03:20.339 Kaela Gallagher: I, have your onboarding survey in front of me, and I noticed you mentioned, there being, like, a learning curve with the new tools when you’re onboarding. Yeah. I’m curious which tools, specifically, maybe you would have wanted, like, more support with.
21 00:03:20.970 ⇒ 00:03:28.230 Miranda Wen: Yeah, I think now I’m at, like, a good spot, but I think, like, at the very beginning, for example, like,
22 00:03:28.700 ⇒ 00:03:40.729 Miranda Wen: like, what was, like, the best use case for cursor? That was something, like, I… I didn’t know, and also, like, what model should I choose? That was something I didn’t know about,
23 00:03:41.080 ⇒ 00:03:57.089 Miranda Wen: As well as, like, I think I got onto, like, open work and real way, which are the things, like, I, didn’t touch on to before. I mean, I have, like, some to help me a little bit, but it’s, like, not very much, like, structured, I would say.
24 00:03:57.190 ⇒ 00:04:03.599 Miranda Wen: And, yeah, I think, like, these three tools, like, pretty much it. Yeah, yeah, yeah.
25 00:04:04.220 ⇒ 00:04:06.170 Kaela Gallagher: Okay, so it was…
26 00:04:06.170 ⇒ 00:04:21.850 Miranda Wen: Yeah, and also I think I didn’t really know, like, I only learned later, like, for example, like, a lot of times when we have, like, a bug, and we can just, like, add a codecs or something to add it, but I didn’t really know, like, how does it, like, work.
27 00:04:22.330 ⇒ 00:04:28.729 Miranda Wen: specifically, to the request, and what things I need to set up in order for Make It to work, yeah.
28 00:04:29.400 ⇒ 00:04:37.150 Kaela Gallagher: Okay, okay. So, the three you mentioned were Cursor, open, work, and Codex?
29 00:04:37.710 ⇒ 00:04:38.260 Miranda Wen: Yeah.
30 00:04:38.260 ⇒ 00:04:38.610 Kaela Gallagher: Okay.
31 00:04:38.610 ⇒ 00:04:40.940 Miranda Wen: - and no, like, the real way.
32 00:04:41.610 ⇒ 00:04:43.710 Kaela Gallagher: Railway. Oh, okay.
33 00:04:44.460 ⇒ 00:04:47.150 Kaela Gallagher: Okay, got it.
34 00:04:47.540 ⇒ 00:04:58.580 Kaela Gallagher: I think for cursor, the best way to use it is to just ask Cursor, like, oh, what are the use cases here? And, like, what model should I choose based on my, role? You can.
35 00:04:58.580 ⇒ 00:04:59.269 Miranda Wen: You can tell it where.
36 00:04:59.270 ⇒ 00:05:09.909 Kaela Gallagher: job you do, and it has your access to your job description, and can really, like, kind of dive deeper into when it might be useful.
37 00:05:10.180 ⇒ 00:05:11.250 Kaela Gallagher: But, I can…
38 00:05:11.250 ⇒ 00:05:14.179 Miranda Wen: Personally, no, I’m not, like, really familiar with it now, yeah.
39 00:05:14.180 ⇒ 00:05:22.410 Kaela Gallagher: Yeah. Have you done any of, like, the quick start training, or, like, the AI accelerator training?
40 00:05:22.690 ⇒ 00:05:30.320 Miranda Wen: I did, like, the… the cursor ones, but I didn’t look into, like, the AI accelerator, I just, like, heard it from, B today, yeah.
41 00:05:30.570 ⇒ 00:05:35.420 Kaela Gallagher: Okay, okay, the cursor one, you’re talking about the Quick Start Guide?
42 00:05:35.420 ⇒ 00:05:36.400 Miranda Wen: Yeah, yeah.
43 00:05:36.580 ⇒ 00:05:43.719 Kaela Gallagher: Okay, okay, I know that these were launched probably, like, right after…
44 00:05:44.290 ⇒ 00:05:48.979 Kaela Gallagher: You started, they probably weren’t ready on your first day, but…
45 00:05:49.470 ⇒ 00:06:07.029 Kaela Gallagher: These two courses in the Learning Hub are gonna be, like, super helpful to you. I think, even though, you already obviously have a grasp of Cursor and have been using it for a while now, like, this quick start will be really helpful, and then the AI Accelerator will teach you how to do, like.
46 00:06:07.030 ⇒ 00:06:14.120 Kaela Gallagher: integrations and automations, and probably just, like, even level up your work further. So,
47 00:06:14.120 ⇒ 00:06:17.479 Kaela Gallagher: I would recommend taking a look at these if you haven’t already.
48 00:06:17.480 ⇒ 00:06:19.120 Miranda Wen: Yes, yes, totally.
49 00:06:19.120 ⇒ 00:06:25.889 Kaela Gallagher: Okay, perfect. And then in terms of the other tools, so I can let Bea know…
50 00:06:26.210 ⇒ 00:06:41.329 Kaela Gallagher: In terms of cursor, maybe in that guide, there’s a section about, like, what model to choose and, what the best use cases might be for your job. So maybe we can kind of add that into the training so people get that moving forward.
51 00:06:42.160 ⇒ 00:06:48.640 Kaela Gallagher: for… Open work. Can you tell me what open work is? That’s not something that I have used.
52 00:06:49.110 ⇒ 00:06:54.219 Miranda Wen: Yes, so OpenWork, I think, is, like, kind of similar to OpenCode, it’s basically.
53 00:06:54.220 ⇒ 00:06:55.070 Kaela Gallagher: Okay.
54 00:06:55.890 ⇒ 00:07:01.919 Miranda Wen: They have everything, and it’s, like, free, and they have, like, all the open source models there, yeah.
55 00:07:02.140 ⇒ 00:07:07.909 Miranda Wen: Yeah, but it’s just, like, the way it’s designed, I… I feel it’s, like, less intuitive than cursor to me.
56 00:07:08.330 ⇒ 00:07:12.750 Kaela Gallagher: I agree. I set it up the other day, but I’ve just been using Cursor, honestly.
57 00:07:12.750 ⇒ 00:07:14.510 Miranda Wen: Yeah, yeah, yeah, yeah.
58 00:07:14.510 ⇒ 00:07:16.730 Kaela Gallagher: Is there part of your role where…
59 00:07:17.030 ⇒ 00:07:22.349 Kaela Gallagher: like, open work is better, or can you just use cursor for most things?
60 00:07:22.550 ⇒ 00:07:34.239 Miranda Wen: Not really. Like, I use… I use Cursor, and right now, I just fully rely on a cursor, but, like, before the, Project Wutan boarded me on, like, it’s… it’s built on top of, like, open work.
61 00:07:34.780 ⇒ 00:07:35.260 Kaela Gallagher: Hmm.
62 00:07:35.260 ⇒ 00:07:40.639 Miranda Wen: I had to look into that, but I didn’t really, like, build anything on top of that, yeah.
63 00:07:40.940 ⇒ 00:07:42.510 Kaela Gallagher: Okay. Okay.
64 00:07:42.720 ⇒ 00:07:43.640 Kaela Gallagher: Got it.
65 00:07:43.750 ⇒ 00:07:49.820 Kaela Gallagher: And then for codecs, What are you using Codex for?
66 00:07:50.290 ⇒ 00:07:59.119 Miranda Wen: Oh, I just saw, like, like, Utam, a lot of times, before I was in his channel, like, in the platform team, like, he would just, like.
67 00:07:59.280 ⇒ 00:08:14.860 Miranda Wen: at Codex to do something to sell, like, a ticket that I pointed towards to, and they called out wrong, and I tried that, and it didn’t run, and I got so confused. Yeah, but I saw, like, that’s something on the AI Accelerator thing, probably can look into that, yeah.
68 00:08:15.290 ⇒ 00:08:25.969 Kaela Gallagher: Okay, okay. If you feel like you still have questions with that once you do the AI Accelerator, let me know, let Bea know, we can try to kind of build that into that program as well.
69 00:08:25.970 ⇒ 00:08:26.660 Miranda Wen: Yay.
70 00:08:26.660 ⇒ 00:08:31.989 Kaela Gallagher: And then railway, what… what about that tool has been tough?
71 00:08:34.039 ⇒ 00:08:50.430 Miranda Wen: I think it shouldn’t be that tough, but, it’s, like, pretty new thing for me, so it’s, like, mainly for deploy… deployment, and I think, like, for me, it’s, like, if it didn’t work and I need to, like, resolve the bug inside Railway.
72 00:08:50.430 ⇒ 00:08:51.090 Kaela Gallagher: Mmm.
73 00:08:51.090 ⇒ 00:08:53.789 Miranda Wen: I think I just, like, there’s some, like…
74 00:08:54.580 ⇒ 00:09:01.160 Miranda Wen: like, it’s kind of like they have, like, this kind of graph thing, and you move around. I think just, like, I just didn’t know, like.
75 00:09:01.620 ⇒ 00:09:07.840 Miranda Wen: sometimes I mess it up, like, even worse, like, and so that’s, like, a little bit annoying to, like,
76 00:09:07.980 ⇒ 00:09:14.360 Miranda Wen: to see things break after they deployed, but I think… I think I’m almost getting there, though, yeah.
77 00:09:14.680 ⇒ 00:09:15.750 Kaela Gallagher: Okay. Okay.
78 00:09:15.750 ⇒ 00:09:19.420 Miranda Wen: Yeah, that was something, like, I literally, like, newly picked up, yeah.
79 00:09:19.790 ⇒ 00:09:29.540 Kaela Gallagher: Okay, okay. When you are having, like, questions about, different tools or anything like that, who are you, like, going to for the most part?
80 00:09:30.090 ⇒ 00:09:49.620 Miranda Wen: I think before, sometimes I just, like, I go to Wudam, and Wudam, like, gives, like, caught into, like, UTAM before the project, and, right now, I think it’s, like, literally, I search on YouTube or, search on Cursor to let them, like, teach me how to, like,
81 00:09:49.810 ⇒ 00:09:52.320 Miranda Wen: How to, like, get my food in the door.
82 00:09:52.320 ⇒ 00:10:02.260 Kaela Gallagher: Yeah, okay, okay. Well, if YouTube or Cursor, like, if they aren’t able to answer your questions, like, let Bea and I know,
83 00:10:02.440 ⇒ 00:10:07.330 Kaela Gallagher: We can hopefully, you know, at least direct you to, like, the right place.
84 00:10:07.330 ⇒ 00:10:09.299 Miranda Wen: Okay, okay, okay, cool.
85 00:10:09.300 ⇒ 00:10:09.930 Kaela Gallagher: Cool.
86 00:10:10.030 ⇒ 00:10:19.520 Kaela Gallagher: Any other… Feedback for us, or, feedback for onboarding, or the buddy program, anything like that?
87 00:10:19.880 ⇒ 00:10:24.510 Miranda Wen: Yeah, I think I do have a question for the buddy program, like,
88 00:10:25.250 ⇒ 00:10:44.760 Miranda Wen: I mean, like, what do you think, like, the biggest value of the body program, especially given that, me and, Pranav are, like, not on the same team, we’re working on different projects and stuff? Yeah, like, the last time I talked was, like, I think I was, like, in my… at the end of my two weeks.
89 00:10:45.310 ⇒ 00:10:54.349 Miranda Wen: Besides from work, just, like, literally the Talk for Buddy program. I mean, he’s, like, all sick today, but I’m hoping to catch up with him soon, but also I don’t know, like.
90 00:10:55.150 ⇒ 00:11:00.549 Miranda Wen: What’s, like, the… Topics that we should have to get the most value from this program.
91 00:11:00.820 ⇒ 00:11:14.479 Kaela Gallagher: Yeah, yeah, there are, like, some kind of suggest… suggested, like, guidance and topics in the buddy program document, but, I think the main goal of it, like, it’s not supposed to be
92 00:11:14.480 ⇒ 00:11:26.640 Kaela Gallagher: you know, super intensive, total, it might be just a couple hours of time from each of you over your first month. But the goal is just for you to have somebody
93 00:11:26.640 ⇒ 00:11:34.740 Kaela Gallagher: To talk to, to ask random questions to, like, things that might be culture-related that maybe you’re…
94 00:11:34.960 ⇒ 00:11:47.599 Kaela Gallagher: nervous to ask to somebody else. It’s intentional that you guys aren’t on the same team, so you feel like, you know, you have a friend kind of elsewhere in the organization, and it’s encouraging a conversation that maybe
95 00:11:47.910 ⇒ 00:11:54.820 Kaela Gallagher: wouldn’t usually happen. Like, it’s not somebody you’re working with every single day. You know, it’s somebody who’s kind of…
96 00:11:55.100 ⇒ 00:11:59.669 Kaela Gallagher: On your side, and they’re to support from a different team.
97 00:12:00.250 ⇒ 00:12:04.230 Miranda Wen: I see, I see, okay. Yeah, yeah, I think that… that totally makes sense, yeah.
98 00:12:04.400 ⇒ 00:12:14.050 Kaela Gallagher: Awesome. Do you feel like, like, the buddy pairing went well, or, like, any, feedback about the program overall?
99 00:12:14.500 ⇒ 00:12:22.260 Miranda Wen: Oh, I think Prana was really nice, and especially, like, I have seen him, like, since, since my interviews.
100 00:12:23.150 ⇒ 00:12:23.830 Kaela Gallagher: Yeah.
101 00:12:23.830 ⇒ 00:12:26.079 Miranda Wen: Yeah, yeah, I think I have my…
102 00:12:26.320 ⇒ 00:12:37.890 Miranda Wen: second conversation with him, so, which… which is… is great. And I feel like if… if the goal is to, like, not be in the same team, then I… I think definitely, like, that does their job, yeah.
103 00:12:38.410 ⇒ 00:12:41.920 Kaela Gallagher: Okay, okay. Would you have preferred…
104 00:12:42.610 ⇒ 00:12:46.409 Kaela Gallagher: someone on your own team, do you feel like that’s more relevant?
105 00:12:49.950 ⇒ 00:13:07.129 Miranda Wen: not… I think, like, you made a good… I think before I was saying it that way, but I think, like, you made a good point on, like, intentionally not being on the same thing, because I already talked to people, like, at least, like, every week, one-on-one, as well as, like, in our team meeting.
106 00:13:07.720 ⇒ 00:13:09.690 Miranda Wen: I think, I think, I think, like.
107 00:13:09.820 ⇒ 00:13:15.350 Miranda Wen: After you told me that, I think, oh, okay, I think that’s… That seems right, yeah.
108 00:13:15.350 ⇒ 00:13:34.180 Kaela Gallagher: I mean, obviously, there’s a little bit of overlap, especially because you came in initially, like, AI product, and he’s, like, AI engineering, so there’s maybe some overlap of, like, ideas and things like that, but yeah, not… not like a day-to-day partnership, so… okay. Okay, makes sense.
109 00:13:34.280 ⇒ 00:13:39.290 Kaela Gallagher: Cool. Anything else for me? Anything I can support you with?
110 00:13:40.100 ⇒ 00:13:46.590 Miranda Wen: Yeah, I think maybe another thing is that,
111 00:13:47.330 ⇒ 00:13:50.650 Miranda Wen: So, now I, like, work with Robert, and I definitely think, like, Robert’s…
112 00:13:50.710 ⇒ 00:14:09.069 Miranda Wen: style is different from Wutang, in terms of, like, the way they prefer to communicate and stuff. So, like, for Robert, I think he likes sync… I mean, he’s open to, like, us sync, but he cares more about, like, the sync communication more, at least, like, at this, like, first month of onboarding period.
113 00:14:09.070 ⇒ 00:14:16.570 Miranda Wen: And, I do wanna, like, collab more feedbacks from him as well. Do you think, like, I should do, like, like…
114 00:14:16.630 ⇒ 00:14:22.390 Miranda Wen: like, next week, or… I mean, next week I’m PTO, but I think maybe ideally next week to see, like.
115 00:14:22.840 ⇒ 00:14:26.029 Miranda Wen: To actively ask for feedback.
116 00:14:26.670 ⇒ 00:14:30.340 Kaela Gallagher: Yeah, you guys do a day… a daily, right? Like, a quick daily sync?
117 00:14:30.340 ⇒ 00:14:38.470 Miranda Wen: We’re trying to do it daily, but Robert being so busy this week, so, it’s only happened, like, I think 2 or 3 times this week, yeah.
118 00:14:38.470 ⇒ 00:14:45.050 Kaela Gallagher: Okay, okay. Yeah, I would say, like, your next sink would be a good time to ask for it. I feel like it’s…
119 00:14:45.440 ⇒ 00:15:00.569 Kaela Gallagher: I don’t know, I feel like any kind of, like, feedback is always best delivered verbally, and then you can ask questions too, so I think it’s just better to have a conversation, like, maybe in your next sync, just being like, hey, I’ve, you know, been…
120 00:15:00.760 ⇒ 00:15:09.210 Kaela Gallagher: on GoToMarket for a week now, just, like, curious if you think I’m on track, and if there’s anything you should do differently.
121 00:15:09.210 ⇒ 00:15:11.120 Miranda Wen: Yeah, yeah, yeah. Okay, cool, cool.
122 00:15:11.250 ⇒ 00:15:13.299 Kaela Gallagher: And I feel like asking…
123 00:15:13.550 ⇒ 00:15:27.600 Kaela Gallagher: even, like, once a week, I think that’s reasonable, like, especially considering you’re on a 5-week engagement right now, and, like, you want to see that extended. Like, I feel like checking in once a week throughout this period, like.
124 00:15:27.960 ⇒ 00:15:29.669 Kaela Gallagher: Is… is fair.
125 00:15:29.670 ⇒ 00:15:33.330 Miranda Wen: Mmm, okay, okay, sounds good. Yeah, thank you so much, Kayla.
126 00:15:33.330 ⇒ 00:15:38.609 Kaela Gallagher: Yeah, of course! Thanks for chatting with me, and yeah, just let me know if you need anything.
127 00:15:38.610 ⇒ 00:15:39.749 Miranda Wen: Okay, okay, thank you.
128 00:15:39.750 ⇒ 00:15:41.020 Kaela Gallagher: Alrighty, thanks!
129 00:15:41.020 ⇒ 00:15:41.700 Miranda Wen: Great day.
130 00:15:41.700 ⇒ 00:15:43.029 Kaela Gallagher: You too. Bye.