Meeting Title: Recuitment-Bi-Weekly Date: 2024-10-14 Meeting participants: Nicolas Sucari, Patrick Trainer, Uttam Kumaran
WEBVTT
1 00:03:08.340 ⇒ 00:03:09.610 Uttam Kumaran: Hey! Hey!
2 00:03:10.020 ⇒ 00:03:10.990 Patrick Trainer: Yo.
3 00:03:15.769 ⇒ 00:03:19.369 Uttam Kumaran: Cool. So I think we have 2 things
4 00:03:19.970 ⇒ 00:03:26.559 Uttam Kumaran: on the recruiting side from last week. And then I I think we can make some decisions on
5 00:03:28.290 ⇒ 00:03:32.349 Uttam Kumaran: if we want to move forward. So I guess, Nico, maybe you want to start with your conversation with
6 00:03:32.490 ⇒ 00:03:33.540 Uttam Kumaran: Oleg.
7 00:03:34.350 ⇒ 00:03:34.940 Uttam Kumaran: Yeah.
8 00:03:34.940 ⇒ 00:03:36.000 Nicolas Sucari: So.
9 00:03:36.500 ⇒ 00:03:41.899 Nicolas Sucari: Alexander, I think he’s like a pretty experienced data engineered
10 00:03:42.618 ⇒ 00:03:44.369 Nicolas Sucari: she. He worked with
11 00:03:45.204 ⇒ 00:03:51.630 Nicolas Sucari: different tools in in different projects. But most of the time these past.
12 00:03:51.910 ⇒ 00:03:54.590 Nicolas Sucari: I think this past month he’s working
13 00:03:55.364 ⇒ 00:04:19.690 Nicolas Sucari: more kind of as a back end. That engineering, like. No, none of the work is regarding visualization tools or analysis. I mean, he’s just working for integrations and some modeling, I think. He seemed pretty experienced. I also asked if he had any client facing roles previously. He told me that he did.
14 00:04:19.709 ⇒ 00:04:22.220 Nicolas Sucari: And yeah, he’s in like, really
15 00:04:22.360 ⇒ 00:04:25.900 Nicolas Sucari: that, that he really knows what he’s doing.
16 00:04:26.291 ⇒ 00:04:32.389 Nicolas Sucari: He doesn’t. I? I mean he he’s in really experienced, not not in not any junior
17 00:04:32.410 ⇒ 00:04:34.399 Nicolas Sucari: or any stuff like that.
18 00:04:34.901 ⇒ 00:04:43.540 Nicolas Sucari: Yeah. And communication. I think he was fine. I asked about, I think, communication meetings any kind of that
19 00:04:43.560 ⇒ 00:04:54.920 Nicolas Sucari: sort of communication he managed before. But yeah, maybe we need to like, scale some time with him again, and try to figure out and ask more kind of real
20 00:04:54.930 ⇒ 00:04:57.670 Nicolas Sucari: examples on projects.
21 00:04:58.034 ⇒ 00:05:02.250 Nicolas Sucari: But yeah, I think I think he’s pretty pretty cool and pretty good
22 00:05:03.405 ⇒ 00:05:04.250 Nicolas Sucari: engineer.
23 00:05:05.550 ⇒ 00:05:09.943 Uttam Kumaran: Okay, cool. So I think, probably we we need to think about
24 00:05:11.240 ⇒ 00:05:15.199 Uttam Kumaran: some sort of technical question. I mean, the main thing is like.
25 00:05:16.385 ⇒ 00:05:17.169 Uttam Kumaran: he.
26 00:05:17.170 ⇒ 00:05:19.030 Nicolas Sucari: He had some questions for us, too.
27 00:05:19.030 ⇒ 00:05:19.710 Uttam Kumaran: Okay.
28 00:05:20.101 ⇒ 00:05:31.449 Nicolas Sucari: But but more technical. And I I told him that maybe he needs to like meet in someone else on the team to to talk more specifically about that.
29 00:05:31.906 ⇒ 00:05:37.703 Nicolas Sucari: I told him. And I don’t know how the the name of the recruiter.
30 00:05:38.410 ⇒ 00:05:55.719 Nicolas Sucari: I think this. They are from Ukraine. I don’t know but to to maybe schedule some time with maybe you, Pat, or you, Tom, so that he can ask some questions, and we can also ask more specifically technical questions to him, and see how he, how he answers.
31 00:05:57.160 ⇒ 00:06:01.749 Uttam Kumaran: Yeah, Pat, I guess. What do you think about chatting with him next?
32 00:06:02.156 ⇒ 00:06:10.160 Uttam Kumaran: I think the goal for this role is, of course, to take on any sort of client facing de needs. So I’m kind of trying to get a sense
33 00:06:10.680 ⇒ 00:06:11.890 Uttam Kumaran: of like.
34 00:06:12.050 ⇒ 00:06:14.359 Uttam Kumaran: can we kind of throw him on
35 00:06:14.750 ⇒ 00:06:20.659 Uttam Kumaran: stuff related to Snowflake. And then if there’s anything new like click house that he can like, kind of pick things up.
36 00:06:20.680 ⇒ 00:06:24.729 Uttam Kumaran: but probably looking for like baseline experience with like warehouses and like
37 00:06:24.750 ⇒ 00:06:26.010 Uttam Kumaran: data lakes.
38 00:06:26.495 ⇒ 00:06:32.490 Uttam Kumaran: And then like background. I mean, we don’t have like a pretty. We don’t have like a technical interview ready. But
39 00:06:32.920 ⇒ 00:06:34.060 Uttam Kumaran: I mean, like.
40 00:06:34.490 ⇒ 00:06:37.579 Uttam Kumaran: I don’t know. I’m kind of also biased against like
41 00:06:37.640 ⇒ 00:06:39.460 Uttam Kumaran: I don’t know. I just don’t feel like
42 00:06:39.490 ⇒ 00:06:42.069 Uttam Kumaran: there’s the technical interviews
43 00:06:42.100 ⇒ 00:06:47.600 Uttam Kumaran: are ever great. So I more would love to ask like in depth questions about
44 00:06:48.040 ⇒ 00:06:55.950 Uttam Kumaran: like a project he did, and then basically continue to drill very, very specifically into the implementation details.
45 00:06:56.424 ⇒ 00:06:56.900 Patrick Trainer: Yeah.
46 00:06:56.900 ⇒ 00:06:57.840 Uttam Kumaran: What do you think?
47 00:06:58.840 ⇒ 00:06:59.920 Patrick Trainer: Should
48 00:07:00.200 ⇒ 00:07:01.969 Patrick Trainer: I mean, I’d like to.
49 00:07:02.100 ⇒ 00:07:10.289 Patrick Trainer: I agree with you like technical interviews are like super tricky, especially like like I. I wouldn’t want to do
50 00:07:12.540 ⇒ 00:07:15.600 Patrick Trainer: something like a live, coding thing like
51 00:07:15.920 ⇒ 00:07:17.030 Patrick Trainer: any of that.
52 00:07:18.280 ⇒ 00:07:24.230 Patrick Trainer: I think we could come up with like some sort of like, take home.
53 00:07:25.090 ⇒ 00:07:25.470 Uttam Kumaran: Okay.
54 00:07:25.470 ⇒ 00:07:28.210 Patrick Trainer: And and ask them to
55 00:07:29.580 ⇒ 00:07:30.779 Patrick Trainer: just like take
56 00:07:32.030 ⇒ 00:07:37.610 Patrick Trainer: a week or something, or like within a week to to do some stuff and
57 00:07:39.610 ⇒ 00:07:41.820 Patrick Trainer: what that is
58 00:07:42.830 ⇒ 00:07:44.589 Patrick Trainer: like, what it would be
59 00:07:45.100 ⇒ 00:07:48.299 Patrick Trainer: I’m not sure but what I would be looking for
60 00:07:48.360 ⇒ 00:07:49.640 Patrick Trainer: would be.
61 00:07:50.600 ⇒ 00:07:56.100 Patrick Trainer: I mean, just like usage, like, basically how we would do like a code review
62 00:07:56.140 ⇒ 00:07:58.910 Patrick Trainer: and then have them walk us through
63 00:07:59.070 ⇒ 00:08:12.855 Patrick Trainer: like doing a code review, because, like, I’d like to see them like once submit the code, but but also because, like I mean in the age of Chat, gpt, and everything and whatnot like, I’d like to see their
64 00:08:14.040 ⇒ 00:08:22.110 Patrick Trainer: kind of like clean coding habits of like are things commented? Are things done right like, what are their commits like?
65 00:08:22.310 ⇒ 00:08:31.900 Patrick Trainer: Can they use Github effectively like? Do they create issues. How do they do pull requests? And then, like, then the the actual interview portion of that is basically like,
66 00:08:32.440 ⇒ 00:08:33.500 Patrick Trainer: a
67 00:08:34.190 ⇒ 00:08:44.629 Patrick Trainer: like a 1 on one like code review, or like live live code review, where they like. Walk us through all of their stuff. And I think that could be done, too, with.
68 00:08:44.980 ⇒ 00:08:45.530 Uttam Kumaran: Yeah.
69 00:08:45.700 ⇒ 00:08:52.460 Patrick Trainer: Literally like all 3 of us on the call. So that like we’re, we get like an understanding of like
70 00:08:52.640 ⇒ 00:08:56.749 Patrick Trainer: what their process was like. How they
71 00:08:56.790 ⇒ 00:08:58.630 Patrick Trainer: dissected the problem.
72 00:09:00.270 ⇒ 00:09:02.134 Patrick Trainer: Do this and that.
73 00:09:03.080 ⇒ 00:09:05.659 Patrick Trainer: that honestly could go like we could
74 00:09:06.120 ⇒ 00:09:12.080 Patrick Trainer: take that a little bit further and be like, distill these like your steps down into issues like.
75 00:09:14.700 ⇒ 00:09:17.890 Patrick Trainer: basically like, can this person
76 00:09:19.240 ⇒ 00:09:20.090 Patrick Trainer: work
77 00:09:20.520 ⇒ 00:09:21.790 Patrick Trainer: remotely.
78 00:09:21.790 ⇒ 00:09:22.500 Uttam Kumaran: Yeah, yeah, yeah.
79 00:09:22.500 ⇒ 00:09:26.480 Patrick Trainer: A in a fully like Async fashion of the way that, like
80 00:09:26.910 ⇒ 00:09:28.950 Patrick Trainer: we think about Async work.
81 00:09:30.490 ⇒ 00:09:35.250 Uttam Kumaran: I mean, I think, like, I mean, I agree, I think, actually doing the Code Review.
82 00:09:35.450 ⇒ 00:09:38.789 Uttam Kumaran: And that discussion at the end with all of us
83 00:09:39.000 ⇒ 00:09:46.649 Uttam Kumaran: is probably best where I’m at minimum like me and me and you, Patrick?
84 00:09:48.200 ⇒ 00:09:50.899 Uttam Kumaran: I think we should think about like what
85 00:09:51.230 ⇒ 00:09:53.490 Uttam Kumaran: we could ask people to do
86 00:09:53.730 ⇒ 00:09:56.219 Uttam Kumaran: like. The problem is, we can’t
87 00:09:56.360 ⇒ 00:09:58.849 Uttam Kumaran: necessarily ask people to
88 00:09:59.770 ⇒ 00:10:00.700 Uttam Kumaran: like
89 00:10:01.260 ⇒ 00:10:08.830 Uttam Kumaran: do stuff on any service that’s like really paid. I guess we could add them to. Yeah, I don’t know. I just don’t wanna create so much burden and like
90 00:10:09.010 ⇒ 00:10:13.170 Uttam Kumaran: adding people to our services and things like that. If we can
91 00:10:13.490 ⇒ 00:10:15.290 Uttam Kumaran: awesome, open source
92 00:10:15.660 ⇒ 00:10:20.329 Uttam Kumaran: things. And we can create a concise project where it’s like, Hey, spend
93 00:10:20.780 ⇒ 00:10:22.180 Uttam Kumaran: less than
94 00:10:22.410 ⇒ 00:10:29.110 Uttam Kumaran: I don’t know like a day, or like 8 h, or I don’t know. I’m trying to think of something concise where it’s like.
95 00:10:29.430 ⇒ 00:10:32.709 Uttam Kumaran: get this data, load it somewhere
96 00:10:32.920 ⇒ 00:10:34.927 Uttam Kumaran: and like visualize it.
97 00:10:36.020 ⇒ 00:10:36.670 Patrick Trainer: Yeah.
98 00:10:36.970 ⇒ 00:10:40.620 Uttam Kumaran: It could be public data sets. It could be with duck TV.
99 00:10:40.670 ⇒ 00:10:46.200 Uttam Kumaran: It could be run real locally. It could be, create your create the repo, right? Like.
100 00:10:46.200 ⇒ 00:10:48.120 Patrick Trainer: Right, I’m thinking.
101 00:10:49.750 ⇒ 00:10:53.210 Patrick Trainer: like that would be cool with like duck. dB, like to
102 00:10:54.210 ⇒ 00:10:58.749 Patrick Trainer: like. We have them connect to like some source or something like that.
103 00:10:59.060 ⇒ 00:11:01.310 Patrick Trainer: And like, we just be loose about like
104 00:11:02.020 ⇒ 00:11:04.319 Patrick Trainer: hit. This Api get this data.
105 00:11:04.850 ⇒ 00:11:10.279 Patrick Trainer: transform it in some form of way to make it usable, slash Actionable.
106 00:11:10.940 ⇒ 00:11:12.990 Patrick Trainer: load it into Duckdb.
107 00:11:13.500 ⇒ 00:11:14.740 Patrick Trainer: and then.
108 00:11:15.140 ⇒ 00:11:19.660 Patrick Trainer: along with your code, include that duck dB, database
109 00:11:20.280 ⇒ 00:11:22.130 Patrick Trainer: in the repo.
110 00:11:22.370 ⇒ 00:11:24.239 Patrick Trainer: and then, just like.
111 00:11:24.370 ⇒ 00:11:25.989 Patrick Trainer: send us the
112 00:11:26.180 ⇒ 00:11:29.259 Patrick Trainer: the link, and then we can, like clone it.
113 00:11:29.660 ⇒ 00:11:30.030 Uttam Kumaran: Yeah.
114 00:11:30.030 ⇒ 00:11:35.319 Patrick Trainer: And and that that way we can see like one what they ran but 2. Then we have, like the
115 00:11:35.430 ⇒ 00:11:36.910 Patrick Trainer: like, the assets.
116 00:11:37.450 ⇒ 00:11:40.710 Patrick Trainer: and it’s not going to cost anyone anything.
117 00:11:42.290 ⇒ 00:11:44.440 Uttam Kumaran: Yeah, I think we could do.
118 00:11:44.830 ⇒ 00:11:47.210 Uttam Kumaran: I think we do something like that.
119 00:11:49.960 ⇒ 00:11:52.020 Uttam Kumaran: what are like the tasks
120 00:11:52.060 ⇒ 00:11:54.860 Uttam Kumaran: like, let’s say, I, I we found, like
121 00:11:55.070 ⇒ 00:11:56.920 Uttam Kumaran: a public facing data set.
122 00:11:57.360 ⇒ 00:12:00.620 Uttam Kumaran: What are the tasks that we could ask for
123 00:12:00.700 ⇒ 00:12:05.000 Uttam Kumaran: that in like a reasonable amount of time? Someone could do that would like demonstrate some stuff.
124 00:12:07.950 ⇒ 00:12:09.359 Uttam Kumaran: and I guess we gotta think about it.
125 00:12:09.360 ⇒ 00:12:18.910 Patrick Trainer: To like in terms of like engineering. Rather than like, are we looking for like like a data engineer, or like an analytics engineer type.
126 00:12:18.910 ⇒ 00:12:21.299 Uttam Kumaran: Yeah, data engineer for this role.
127 00:12:21.350 ⇒ 00:12:27.069 Uttam Kumaran: Yeah, so like in for for like a analytics engineer, I would. I would probably skip
128 00:12:27.290 ⇒ 00:12:30.680 Uttam Kumaran: any of the Go move data around and be like, here’s a data store
129 00:12:31.460 ⇒ 00:12:35.350 Uttam Kumaran: here. Here’s where we’re trying to go create the models.
130 00:12:36.160 ⇒ 00:12:37.430 Uttam Kumaran: I think.
131 00:12:37.430 ⇒ 00:12:38.030 Patrick Trainer: Today.
132 00:12:38.030 ⇒ 00:12:40.279 Uttam Kumaran: I think, for this, it’s more about
133 00:12:40.740 ⇒ 00:12:44.310 Uttam Kumaran: it’s more technical. That’s why it’s a little bit tougher. But.
134 00:12:45.640 ⇒ 00:12:47.199 Patrick Trainer: Maybe, maybe like.
135 00:12:48.070 ⇒ 00:12:50.489 Patrick Trainer: have this status source or whatnot
136 00:12:52.600 ⇒ 00:12:53.740 Patrick Trainer: load it
137 00:12:53.980 ⇒ 00:12:56.670 Patrick Trainer: valid like validate that load.
138 00:12:57.210 ⇒ 00:12:58.829 Patrick Trainer: and then, like
139 00:13:01.510 ⇒ 00:13:05.610 Patrick Trainer: set up like almost like a Cicd process
140 00:13:05.750 ⇒ 00:13:08.329 Patrick Trainer: that like deploys your code
141 00:13:08.770 ⇒ 00:13:10.150 Patrick Trainer: and then
142 00:13:12.080 ⇒ 00:13:13.130 Patrick Trainer: automate
143 00:13:13.250 ⇒ 00:13:14.260 Patrick Trainer: the load
144 00:13:14.490 ⇒ 00:13:16.490 Patrick Trainer: like we if we think about like
145 00:13:17.960 ⇒ 00:13:21.739 Patrick Trainer: automations or like pipelines or setting things up.
146 00:13:26.060 ⇒ 00:13:32.219 Uttam Kumaran: Is there any part of that that we that’s like? We can rely on them without having to use our services?
147 00:13:34.160 ⇒ 00:13:35.370 Patrick Trainer: I mean they can.
148 00:13:35.880 ⇒ 00:13:38.280 Uttam Kumaran: Oh, click! Create a github action, something.
149 00:13:38.280 ⇒ 00:13:39.580 Patrick Trainer: Yeah, something like that.
150 00:13:46.110 ⇒ 00:13:49.564 Uttam Kumaran: Yeah, let me think about it. I like this idea.
151 00:13:50.580 ⇒ 00:13:52.710 Patrick Trainer: Like, I’m basically thinking of, like.
152 00:13:53.150 ⇒ 00:13:56.750 Patrick Trainer: create an end-to-end ingestion pipeline.
153 00:13:57.000 ⇒ 00:13:59.310 Uttam Kumaran: Yeah, for like a public data source.
154 00:13:59.310 ⇒ 00:14:00.000 Patrick Trainer: Yeah.
155 00:14:03.010 ⇒ 00:14:05.959 Uttam Kumaran: Yeah, maybe we just see whether they can do this
156 00:14:07.430 ⇒ 00:14:14.110 Uttam Kumaran: either locally or using github actions. And then they can just walk us through that code. And I’m just gonna what know? What we’ll do
157 00:14:14.140 ⇒ 00:14:21.220 Uttam Kumaran: is I’ll just specify like this is particularly open ended. But here are the technologies to use. Here’s the data source.
158 00:14:21.290 ⇒ 00:14:25.729 Uttam Kumaran: Here’s like an example of the details we’re looking for.
159 00:14:25.850 ⇒ 00:14:30.149 Uttam Kumaran: Here are some tools you can use that are open source time box this.
160 00:14:30.510 ⇒ 00:14:32.280 Uttam Kumaran: And then we just talk.
161 00:14:33.060 ⇒ 00:14:33.680 Patrick Trainer: Exactly.
162 00:14:33.680 ⇒ 00:14:45.109 Uttam Kumaran: Cause, like there’s a bunch of ways to do it. And we’re, I’m mostly like, like, I’m less interested in it, getting done and more interested in like the process. If we do that like, I’ll try to
163 00:14:45.780 ⇒ 00:14:53.689 Uttam Kumaran: take this and come up with something concise. I’ll add it to notion, so that we can also send that around to people
164 00:14:53.700 ⇒ 00:14:55.020 Uttam Kumaran: more quickly.
165 00:14:55.410 ⇒ 00:15:02.089 Uttam Kumaran: And then again, our process. Like, I think it’s, I think we’re gonna have some sort of initial screen which is like, Are you a human
166 00:15:02.250 ⇒ 00:15:10.059 Uttam Kumaran: like? Are you? Are you like an asshole? And then I want to get them to the technical immediately before
167 00:15:10.340 ⇒ 00:15:13.270 Uttam Kumaran: any of our time is spent. Because.
168 00:15:13.898 ⇒ 00:15:36.539 Uttam Kumaran: that’s like that’s honestly it. And then that way, because on the analytics engineering side, too, I think it’s basically gonna be like, Hey, we have this duck dB, thing loaded. Go like we have real here, like, create these dashboard, create these models. And then, like, let’s review with you. I think if someone backs out, if someone sees that’s like there’s no way I’m doing this perfect. Some sees.
169 00:15:36.540 ⇒ 00:15:37.030 Patrick Trainer: Yeah.
170 00:15:37.030 ⇒ 00:15:39.740 Uttam Kumaran: Crush this perfect. And I think
171 00:15:39.790 ⇒ 00:15:42.500 Uttam Kumaran: one screen is totally fine.
172 00:15:44.010 ⇒ 00:15:45.843 Uttam Kumaran: and then let’s do that.
173 00:15:50.710 ⇒ 00:15:51.819 Uttam Kumaran: okay, so let’s try that.
174 00:15:52.640 ⇒ 00:15:53.799 Uttam Kumaran: I’ll draft something up.
175 00:15:55.860 ⇒ 00:15:59.670 Uttam Kumaran: and then I’ll send it to you. I’ll send it to to us in the channel.
176 00:16:00.540 ⇒ 00:16:06.830 Nicolas Sucari: And also regarding Alexander. I mean, he’s been at that engineering for that engineer for 10 years.
177 00:16:07.502 ⇒ 00:16:12.690 Nicolas Sucari: He told me about his stack. He worked with python scholar. Java.
178 00:16:12.930 ⇒ 00:16:16.390 Nicolas Sucari: Go rust a lot of different kind of
179 00:16:17.200 ⇒ 00:16:35.070 Nicolas Sucari: yeah code languages. So I think he will be able to to manage all of this stuff, but I think it’s also a nice exercise to try and to discuss with with him, maybe to figure out like what’s the best way to to do it to
180 00:16:35.716 ⇒ 00:16:37.620 Nicolas Sucari: I call this process.
181 00:16:38.130 ⇒ 00:16:45.140 Uttam Kumaran: Yeah, I mean, that’s what we’re hoping for. So it’ll be a good discussion either way. So let me try to let me try to draft that up.
182 00:16:45.220 ⇒ 00:16:48.899 Uttam Kumaran: I’m gonna send an update to them that we’ll get something to them by midweek
183 00:16:48.930 ⇒ 00:16:54.410 Uttam Kumaran: with like a Co. With like a little take home exercise. And again I’ll just say time boxes to like one day.
184 00:16:55.166 ⇒ 00:16:57.870 Uttam Kumaran: We’re more looking at process and discussion.
185 00:16:58.160 ⇒ 00:17:05.613 Uttam Kumaran: But again, I think these are all things that if you’re good, then these should all be pretty easy things to figure out and knock out
186 00:17:07.470 ⇒ 00:17:13.730 Uttam Kumaran: and then and then through the communication stuff, we’ll basically figure out like, if if they’re able to easily translate their work and stuff like that.
187 00:17:14.950 ⇒ 00:17:16.250 Patrick Trainer: Could also.
188 00:17:16.380 ⇒ 00:17:25.449 Patrick Trainer: like in part of the communication thing, have that kind of be like a a hidden aspect of the technical like, let’s say we
189 00:17:26.640 ⇒ 00:17:29.509 Patrick Trainer: invite them to like a sandbox, slack channel
190 00:17:30.560 ⇒ 00:17:33.389 Patrick Trainer: to where they can like, ask us questions, and then.
191 00:17:33.390 ⇒ 00:17:34.170 Uttam Kumaran: Oh, yeah.
192 00:17:34.170 ⇒ 00:17:38.420 Patrick Trainer: We leave the interview intentionally, intentionally vague
193 00:17:38.800 ⇒ 00:17:44.889 Patrick Trainer: and just like put in there like in the instructions like reach to us, reach out to us. If you need
194 00:17:45.400 ⇒ 00:17:46.100 Patrick Trainer: to ask.
195 00:17:46.100 ⇒ 00:17:47.370 Uttam Kumaran: Yeah, I like that.
196 00:17:48.060 ⇒ 00:17:50.590 Patrick Trainer: And then just see how they talk to us through slack.
197 00:17:51.090 ⇒ 00:17:53.198 Uttam Kumaran: Yeah, why don’t I do that?
198 00:17:54.410 ⇒ 00:18:01.220 Uttam Kumaran: I mean, like, I’m more. I’m in more favor of leaving it ambiguous, because that’s the way it’s gonna be in real life.
199 00:18:01.220 ⇒ 00:18:02.160 Patrick Trainer: Right, exactly.
200 00:18:02.160 ⇒ 00:18:08.029 Uttam Kumaran: So I am actually like, I want that to be a part of the exercise itself.
201 00:18:10.960 ⇒ 00:18:24.390 Uttam Kumaran: okay, let’s do that. So let me let me just write it down. I’ll send it to you guys for review, and then I can send it over to them. If they’re okay with that, then, we’ll create a slack channel. Just go from there.
202 00:18:25.990 ⇒ 00:18:29.909 Uttam Kumaran: this is great, and we’ll think of something similar for the analytics engineering stuff.
203 00:18:29.980 ⇒ 00:18:37.869 Uttam Kumaran: Kind of see how this. Maybe we’ll see how this goes, and then we can work on the one for the Aes. And I can. I can ask Brian to to help to craft.
204 00:18:37.870 ⇒ 00:18:38.250 Patrick Trainer: Right.
205 00:18:38.250 ⇒ 00:18:39.210 Uttam Kumaran: Look like.
206 00:18:39.470 ⇒ 00:18:40.190 Patrick Trainer: Right.
207 00:18:42.550 ⇒ 00:18:44.129 Uttam Kumaran: cool, and then.
208 00:18:44.350 ⇒ 00:18:47.060 Uttam Kumaran: Pat, you get a chance to talk to Emily last week.
209 00:18:47.200 ⇒ 00:18:53.189 Patrick Trainer: I did not. Actually, I need to reach back out to her and schedule something for this week.
210 00:18:53.830 ⇒ 00:18:57.371 Uttam Kumaran: Okay, that would be great. If you can do that.
211 00:18:59.099 ⇒ 00:19:04.799 Uttam Kumaran: or I I mean, I can have. I can have Nico talk to her as well. She was much, and she was really interested in like
212 00:19:04.930 ⇒ 00:19:13.299 Uttam Kumaran: kind of like our the platform stuff that we’re thinking about and like side. So I’m not. I wasn’t. I kind of did a behavioral screen. So I’m not
213 00:19:13.420 ⇒ 00:19:16.819 Uttam Kumaran: kind of like worried. She’s competent. She’s great. So.
214 00:19:17.740 ⇒ 00:19:18.310 Patrick Trainer: Right?
215 00:19:21.240 ⇒ 00:19:28.890 Patrick Trainer: Yeah, no, like I. It’s I can. I can meet with her, or both. Nico and I can meet with her that like that works too.
216 00:19:29.040 ⇒ 00:19:31.410 Uttam Kumaran: Yeah, maybe just chat with her, and then
217 00:19:32.820 ⇒ 00:19:36.419 Uttam Kumaran: just send me a note when that’s booked, or I can send a reminder
218 00:19:36.750 ⇒ 00:19:40.219 Uttam Kumaran: tomorrow. Just just follow up on that and then cool.
219 00:19:41.554 ⇒ 00:19:47.190 Uttam Kumaran: Let’s see for other recruiting stuff. So I’m
220 00:19:47.380 ⇒ 00:19:51.599 Uttam Kumaran: I got a lead into there’s 2 other
221 00:19:51.690 ⇒ 00:20:02.079 Uttam Kumaran: like de candidates that I got a referral to. They’re both full time elsewhere. So I need to meet with them and just do a behavioral. But I’m gonna I’m gonna try and reach out
222 00:20:04.230 ⇒ 00:20:13.370 Uttam Kumaran: this week. And then I reach out to another partner, asking if they had any good candidates for for any of the 3 roles.
223 00:20:14.354 ⇒ 00:20:16.839 Uttam Kumaran: And then I’m also going to
224 00:20:17.393 ⇒ 00:20:23.569 Uttam Kumaran: I’m gonna actually ask pious as well, Nico, to see if he has any analyst friends that are.
225 00:20:23.570 ⇒ 00:20:24.320 Nicolas Sucari: Okay.
226 00:20:24.951 ⇒ 00:20:29.178 Uttam Kumaran: Cause he has a really he. His profile is, I think, is is kind of like what we’re going for.
227 00:20:32.250 ⇒ 00:20:34.190 Uttam Kumaran: I think additionally.
228 00:20:35.980 ⇒ 00:20:40.780 Uttam Kumaran: There was. Oh, yeah, where I interviewed one of Miguel’s
229 00:20:41.176 ⇒ 00:20:51.160 Uttam Kumaran: co, like some. He’s a former coworker who’s also on the AI side. We don’t have enough AI work for me to budget to bring him on
230 00:20:53.500 ⇒ 00:20:56.659 Uttam Kumaran: but I met with him once, and he was really good.
231 00:20:56.904 ⇒ 00:21:03.000 Uttam Kumaran: So I’m kind of like waiting to see. Like if we’re able to close any deals in the AI side to be able to expand that
232 00:21:03.070 ⇒ 00:21:05.519 Uttam Kumaran: so hopefully, we can move on that
233 00:21:05.860 ⇒ 00:21:07.060 Uttam Kumaran: this week.
234 00:21:07.220 ⇒ 00:21:09.420 Uttam Kumaran: like we could hopefully will not this month.
235 00:21:09.470 ⇒ 00:21:17.589 Uttam Kumaran: I think otherwise. The 2 Jd’s are published. We have to finish a data analyst. Jd, and then I’m just gonna start kind of sending it a little bit
236 00:21:17.600 ⇒ 00:21:20.719 Uttam Kumaran: broadly, I think, for the most part, like warm
237 00:21:20.900 ⇒ 00:21:24.090 Uttam Kumaran: referrals are gonna be their our best bet.
238 00:21:24.450 ⇒ 00:21:26.680 Uttam Kumaran: But I’m gonna start asking people
239 00:21:26.700 ⇒ 00:21:32.209 Uttam Kumaran: for referrals just like, take a look at this. Jd, if there’s anyone that comes to mind, let us know
240 00:21:33.590 ⇒ 00:21:43.809 Uttam Kumaran: and our our goal, I think overall is, I basically want to build like for every single role we have open. I kind of want to have at least 3 people that are
241 00:21:43.960 ⇒ 00:21:50.550 Uttam Kumaran: basically in the like, ready to go or like open to work. If we were to make an offer.
242 00:21:50.962 ⇒ 00:22:01.239 Uttam Kumaran: The, we’re always gonna be in a position of like one or the other. But you can never engage too early. But you can always be like too late.
243 00:22:01.280 ⇒ 00:22:11.669 Uttam Kumaran: right, like we need someone desperately. So that’s the thing is like, I don’t mind. We get to the I don’t mind. We get to the end and saying, Hey, we! We don’t have a need just yet, but like you’re qualified. And we’re gonna
244 00:22:12.140 ⇒ 00:22:29.050 Uttam Kumaran: we’re gonna like, we’ll we’ll act on something soon. But so that’s kind of like what my hope is that we have some of those people. So once, we kind of exhaust some of these people that I I currently have in the backlog to talk to. I have a couple of other like agency sources and things like that where
245 00:22:29.756 ⇒ 00:22:32.313 Uttam Kumaran: they may place people with us.
246 00:22:32.980 ⇒ 00:22:45.880 Uttam Kumaran: And so I’m gonna kinda think about going through those routes. Some of them have like a higher placement fee. Some of them there would just be subcontracts, like, basically, we employ somebody through a subcontract.
247 00:22:47.100 ⇒ 00:22:51.327 Uttam Kumaran: either way, we’re kind of kind of open to anybody.
248 00:22:53.550 ⇒ 00:22:54.870 Uttam Kumaran: so yeah, let’s
249 00:22:55.580 ⇒ 00:22:58.619 Uttam Kumaran: Let’s keep going there. I don’t think there’s anything else, though, on the
250 00:22:58.670 ⇒ 00:23:00.240 Uttam Kumaran: recruiting side. Really.
251 00:23:04.620 ⇒ 00:23:06.050 Nicolas Sucari: No, I don’t think so.
252 00:23:06.570 ⇒ 00:23:07.130 Uttam Kumaran: Okay.
253 00:23:08.120 ⇒ 00:23:11.710 Uttam Kumaran: okay, cool. Alright. So let me. I’ll send like
254 00:23:12.160 ⇒ 00:23:15.890 Uttam Kumaran: some notes from this in the Channel right after this. And then.
255 00:23:16.140 ⇒ 00:23:19.389 Uttam Kumaran: yeah, let’s talk again next week, or I’ll send. I’ll send the
256 00:23:19.950 ⇒ 00:23:23.390 Uttam Kumaran: the interview for review
257 00:23:23.966 ⇒ 00:23:28.410 Uttam Kumaran: hopefully by Wednesday that we can all approve, and then send it over to Alexander
258 00:23:29.970 ⇒ 00:23:30.830 Uttam Kumaran: Tweet.
259 00:23:31.653 ⇒ 00:23:32.680 Uttam Kumaran: Okay, guys.
260 00:23:32.720 ⇒ 00:23:34.609 Uttam Kumaran: thanks. Good progress. Last week.
261 00:23:34.940 ⇒ 00:23:35.570 Patrick Trainer: Cool.
262 00:23:36.750 ⇒ 00:23:37.390 Patrick Trainer: Thank you.
263 00:23:37.390 ⇒ 00:23:37.970 Nicolas Sucari: Guys.
264 00:23:38.560 ⇒ 00:23:39.550 Nicolas Sucari: Bye-bye.