1 00:00:06,240 --> 00:00:09,440 Speaker 1: This is on the Job, a podcast about finding your 2 00:00:09,440 --> 00:00:12,000 Speaker 1: life's work on the job, is brought to you by 3 00:00:12,000 --> 00:00:16,159 Speaker 1: Express Employment Professionals. This season, we're bringing you stories of 4 00:00:16,200 --> 00:00:19,119 Speaker 1: folks following their passion to carve their own career path. 5 00:00:20,720 --> 00:00:24,000 Speaker 1: COVID nineteen has virtually changed the job market and given 6 00:00:24,079 --> 00:00:26,400 Speaker 1: us all a glimpse at occupations that weren't built to 7 00:00:26,440 --> 00:00:29,640 Speaker 1: survive something like a pandemic. And in twenty twenty one, 8 00:00:29,760 --> 00:00:32,879 Speaker 1: as the world opens back up, businesses are pivoting to 9 00:00:32,920 --> 00:00:35,800 Speaker 1: be more sustainable in times of crisis. But for the 10 00:00:35,840 --> 00:00:38,720 Speaker 1: millions of employees who worked those jobs that have vanished, 11 00:00:38,920 --> 00:00:42,159 Speaker 1: pivoting to a new one is not easy. In today's episode, 12 00:00:42,400 --> 00:00:44,519 Speaker 1: we talk with someone who's made it their job to 13 00:00:44,600 --> 00:00:49,839 Speaker 1: give those people an opportunity. In this last year of 14 00:00:49,880 --> 00:00:52,960 Speaker 1: the pandemic, My job as a radio producer has changed 15 00:00:52,960 --> 00:00:55,200 Speaker 1: a lot. I used to interview people face to face 16 00:00:55,280 --> 00:00:57,800 Speaker 1: all the time and be able to record them in person. 17 00:00:58,200 --> 00:01:01,760 Speaker 1: Now it's almost completely remote test tess, So it is 18 00:01:01,800 --> 00:01:04,360 Speaker 1: a real treat when whoever I'm talking to is tech 19 00:01:04,440 --> 00:01:06,760 Speaker 1: savvy and willing to record on their end. Okay, so 20 00:01:06,840 --> 00:01:10,600 Speaker 1: you're recording, You're good, I'm here, baby. We live. Luckily, 21 00:01:10,720 --> 00:01:13,040 Speaker 1: my interviewee for this show works in tech as the 22 00:01:13,080 --> 00:01:16,480 Speaker 1: CEO and founder of Burlington Code Academy in Vermont In 23 00:01:16,560 --> 00:01:19,520 Speaker 1: His name is Benjamin Boaz, but I go by Benny 24 00:01:19,600 --> 00:01:23,640 Speaker 1: and I am twenty eight years old. Benny is kind 25 00:01:23,680 --> 00:01:26,000 Speaker 1: of on a crusade to make this new reality of 26 00:01:26,000 --> 00:01:29,560 Speaker 1: working remotely accessible for everyone, which is why at Burlington 27 00:01:29,640 --> 00:01:33,080 Speaker 1: Code Academy he provides coding boot camps and boot camps 28 00:01:33,080 --> 00:01:36,520 Speaker 1: and technology fields. So boot camps are these accelerated programs 29 00:01:36,520 --> 00:01:40,039 Speaker 1: are sometimes twelve weeks, sometimes fourteen weeks, and point of 30 00:01:40,040 --> 00:01:41,840 Speaker 1: them is is that in a very short period of 31 00:01:41,880 --> 00:01:44,120 Speaker 1: time you're going to learn all of the skills you 32 00:01:44,160 --> 00:01:47,040 Speaker 1: need to get a job in a technology field. The 33 00:01:47,160 --> 00:01:50,200 Speaker 1: term he uses for this is rapid reskilling. He says 34 00:01:50,240 --> 00:01:53,160 Speaker 1: this is the solution to a problem. The problem being 35 00:01:53,520 --> 00:01:55,600 Speaker 1: COVID put a ton of people out of work, and 36 00:01:55,680 --> 00:01:58,280 Speaker 1: as of March twenty twenty one, there are still twelve 37 00:01:58,320 --> 00:02:01,639 Speaker 1: million people unemployed due to the pandemic and about forty 38 00:02:01,680 --> 00:02:04,120 Speaker 1: percent of the jobs that were lost. For most of 39 00:02:04,120 --> 00:02:11,160 Speaker 1: these unemployed folks are not going to come back. That's 40 00:02:11,320 --> 00:02:15,079 Speaker 1: a lot of jobs. That's a lot of jobs. Let's 41 00:02:15,080 --> 00:02:18,920 Speaker 1: put it this way, I'm not concerned with jobs disappearing. 42 00:02:19,200 --> 00:02:26,000 Speaker 1: I'm concerned with where those jobs are going. Okay, to 43 00:02:26,000 --> 00:02:28,560 Speaker 1: get into the nitty gritty real quick. At the height 44 00:02:28,600 --> 00:02:32,200 Speaker 1: of the pandemic, unemployment peaked at almost fifteen percent. A 45 00:02:32,200 --> 00:02:35,160 Speaker 1: lot of those jobs that paused or disappeared were manual 46 00:02:35,240 --> 00:02:38,880 Speaker 1: labor jobs, service jobs, factory jobs, all lines of work that, 47 00:02:39,040 --> 00:02:43,000 Speaker 1: even before the pandemic were hugely affected by businesses moving 48 00:02:43,040 --> 00:02:47,280 Speaker 1: toward automation and digitization. And now, after a year of 49 00:02:47,320 --> 00:02:50,799 Speaker 1: businesses really having to pivot to use automation rather than 50 00:02:50,919 --> 00:02:53,960 Speaker 1: hiring employees, they're less inclined to go back. And so 51 00:02:54,040 --> 00:02:57,200 Speaker 1: that is a big eye opener for people who are 52 00:02:57,760 --> 00:03:00,639 Speaker 1: sitting at home trying to devise how to get back 53 00:03:00,680 --> 00:03:04,480 Speaker 1: into their role, is that their role isn't really stable anymore. 54 00:03:05,120 --> 00:03:09,119 Speaker 1: And so what that means is we need to think 55 00:03:09,160 --> 00:03:12,480 Speaker 1: about how do we train those people into those jobs 56 00:03:12,520 --> 00:03:17,040 Speaker 1: that service automation. Benny says, in the next five years, 57 00:03:17,120 --> 00:03:20,040 Speaker 1: there's a projected twelve million new jobs coming to the 58 00:03:20,120 --> 00:03:23,160 Speaker 1: US in the tech field, which is enough for each 59 00:03:23,200 --> 00:03:26,000 Speaker 1: and every American who doesn't have a job right now. 60 00:03:26,320 --> 00:03:28,400 Speaker 1: And since so much of this work will be remote, 61 00:03:28,639 --> 00:03:32,000 Speaker 1: people have more access to the ninety six million global 62 00:03:32,080 --> 00:03:35,680 Speaker 1: jobs that are projected for software development, ninety six million 63 00:03:35,840 --> 00:03:40,880 Speaker 1: global coding jobs. There are so many coders right now, 64 00:03:41,040 --> 00:03:44,360 Speaker 1: and yet we still don't have enough. It's pretty unbelievable. 65 00:03:46,960 --> 00:03:50,040 Speaker 1: So back at Burlington Code Academy, these are what the 66 00:03:50,080 --> 00:03:52,880 Speaker 1: boot camps are there to do. Give people the tools 67 00:03:52,960 --> 00:03:55,520 Speaker 1: they need to get these new jobs in a new world. 68 00:03:56,160 --> 00:03:58,200 Speaker 1: And it's sort of like a second chance because most 69 00:03:58,240 --> 00:04:01,480 Speaker 1: of the people who attend these programs aren't undergraduates. They're 70 00:04:01,520 --> 00:04:04,320 Speaker 1: not graduates from high school. They're adults who are mostly 71 00:04:04,400 --> 00:04:06,640 Speaker 1: between the ages of twenty five to thirty five, but 72 00:04:06,760 --> 00:04:09,800 Speaker 1: really range up to midlife career switchers and even before 73 00:04:09,880 --> 00:04:13,680 Speaker 1: retirement age. These are people who don't have work, or 74 00:04:13,760 --> 00:04:17,360 Speaker 1: don't have enough work, or just people looking for better opportunities. 75 00:04:17,480 --> 00:04:19,920 Speaker 1: And there's a lot of that opportunity in tech. So 76 00:04:20,000 --> 00:04:28,520 Speaker 1: that is what specifically these programs do. Benny has built 77 00:04:28,560 --> 00:04:31,760 Speaker 1: his business around planning for the future, planning for change, 78 00:04:32,040 --> 00:04:34,680 Speaker 1: and to fully understand how he got there, we've got 79 00:04:34,680 --> 00:04:37,720 Speaker 1: to go back to how he grew up. Yeah, let's 80 00:04:37,760 --> 00:04:41,680 Speaker 1: backtrack a little. Okay, So I'm a first generation American. 81 00:04:42,000 --> 00:04:44,680 Speaker 1: Both my parents were born in Europe. My mother came 82 00:04:44,680 --> 00:04:47,520 Speaker 1: over here in nineteen sixty nine during the height of 83 00:04:47,600 --> 00:04:51,200 Speaker 1: the Cold War. His mom was born in Czechoslovakia, which 84 00:04:51,240 --> 00:04:53,560 Speaker 1: was under Soviet leadership at the time and is now 85 00:04:53,600 --> 00:04:56,240 Speaker 1: known as the Czech Republic. She just didn't see much 86 00:04:56,279 --> 00:04:58,880 Speaker 1: of a future for herself in a communist country and 87 00:04:59,160 --> 00:05:02,320 Speaker 1: couldn't really matter continuing her life there, so she came 88 00:05:02,360 --> 00:05:05,039 Speaker 1: and fled to America and escaped Communism to start a 89 00:05:05,080 --> 00:05:09,240 Speaker 1: new life here. And my father also fled persecution to 90 00:05:09,279 --> 00:05:13,920 Speaker 1: come to America. Benny describes his parents as super smart, 91 00:05:14,240 --> 00:05:18,479 Speaker 1: entrepreneurial educated, heavy artsy types, but it was hard finding 92 00:05:18,480 --> 00:05:21,440 Speaker 1: work as immigrants in a new country, so they tried 93 00:05:21,440 --> 00:05:23,920 Speaker 1: to start a bunch of businesses on their own. They 94 00:05:23,920 --> 00:05:26,440 Speaker 1: had Benny and his brother. They moved around a lot. 95 00:05:26,600 --> 00:05:29,600 Speaker 1: They lived in California and Colorado and Maine. They did 96 00:05:29,600 --> 00:05:32,920 Speaker 1: interior design and taught English as a second language. They 97 00:05:32,920 --> 00:05:35,560 Speaker 1: even had a bed and breakfast, but Benny says they 98 00:05:35,680 --> 00:05:38,160 Speaker 1: always had kind of a tough time getting their businesses 99 00:05:38,200 --> 00:05:41,279 Speaker 1: to take hold. I remember when we were about I 100 00:05:41,400 --> 00:05:43,760 Speaker 1: was like, I don't know eight. My mom wanted to 101 00:05:43,760 --> 00:05:46,480 Speaker 1: open an ice cream shop. So she rented this space, 102 00:05:46,600 --> 00:05:49,760 Speaker 1: got this awning like guy seated up, made it look beautiful, 103 00:05:49,920 --> 00:05:52,960 Speaker 1: and then wouldn't charge anybody for ice cream. It was 104 00:05:53,000 --> 00:05:55,920 Speaker 1: a really bad business model because she wanted to sell 105 00:05:55,960 --> 00:05:59,599 Speaker 1: ice cream to kids but felt bad charging the kids 106 00:05:59,600 --> 00:06:04,200 Speaker 1: for ice I don't even think that is a business model. No, 107 00:06:04,360 --> 00:06:06,720 Speaker 1: it was so bad. And so my friends and I 108 00:06:06,760 --> 00:06:08,279 Speaker 1: just used to go there after school and just like 109 00:06:08,360 --> 00:06:10,520 Speaker 1: drink the soda and like eat the candy, and then 110 00:06:10,560 --> 00:06:13,040 Speaker 1: like just watch my mom just not charge anybody for 111 00:06:13,160 --> 00:06:14,840 Speaker 1: ice cream. And I was like, all right, well, this 112 00:06:14,920 --> 00:06:17,320 Speaker 1: isn't gonna work for very long. And it didn't. She 113 00:06:17,360 --> 00:06:21,280 Speaker 1: had to close the shop like two months later. Eventually, 114 00:06:21,480 --> 00:06:23,560 Speaker 1: his family settled down in Vermont, where Benny went to 115 00:06:23,640 --> 00:06:26,320 Speaker 1: high school. In high school, I was definitely a rebel. 116 00:06:26,320 --> 00:06:28,960 Speaker 1: I got kicked out of two high schools. I was 117 00:06:29,040 --> 00:06:32,640 Speaker 1: a complete stop. Benny says at the time he was 118 00:06:32,680 --> 00:06:35,159 Speaker 1: just being a punk. But in hindsight, he says, the 119 00:06:35,240 --> 00:06:38,000 Speaker 1: schools he was thrown into and Vermont just didn't work 120 00:06:38,040 --> 00:06:41,839 Speaker 1: for him. He felt underwhelmed and unchallenged and unstimulated. He 121 00:06:41,920 --> 00:06:45,760 Speaker 1: was smart, he got good grades, but my attendance, my 122 00:06:45,839 --> 00:06:49,800 Speaker 1: behavior my attitude was so poor that it caused me 123 00:06:49,880 --> 00:06:54,360 Speaker 1: to actually get removed from multiple high schools. So by 124 00:06:54,360 --> 00:06:56,400 Speaker 1: the time he was a junior in high school and 125 00:06:56,440 --> 00:06:59,560 Speaker 1: starting to even consider college, he thought there was no 126 00:06:59,680 --> 00:07:02,280 Speaker 1: chance of him getting into any school because of his record. 127 00:07:02,480 --> 00:07:04,520 Speaker 1: Until one day I was hanging out at a friend's 128 00:07:04,520 --> 00:07:07,400 Speaker 1: house and this kid walked up to me and said, Benny, 129 00:07:07,720 --> 00:07:09,520 Speaker 1: do you want this? And he had a folder in 130 00:07:09,520 --> 00:07:12,680 Speaker 1: his hands, and it was a minaw envelope and that 131 00:07:12,800 --> 00:07:18,840 Speaker 1: folder was all of my disciplinary records. Ever, because at 132 00:07:18,840 --> 00:07:20,960 Speaker 1: the time they kept him on paper, they didn't put 133 00:07:21,000 --> 00:07:24,760 Speaker 1: them into a digital system. He was in a detention 134 00:07:25,240 --> 00:07:29,360 Speaker 1: and he saw my disciplinary record in the principal's office 135 00:07:29,400 --> 00:07:36,960 Speaker 1: and stole it and gave it to me. Benny got 136 00:07:37,000 --> 00:07:40,200 Speaker 1: into his top choice school, Bennington College, a place he 137 00:07:40,240 --> 00:07:42,800 Speaker 1: thought was for smart, weirdos like him who didn't fit 138 00:07:42,840 --> 00:07:46,800 Speaker 1: into the normal school system. He studied political science and economics, 139 00:07:47,240 --> 00:07:51,120 Speaker 1: art and philosophy. Then after college I graduated and I 140 00:07:51,200 --> 00:07:54,040 Speaker 1: was like, oh this, I'm so prepared for the job world, 141 00:07:54,160 --> 00:07:57,800 Speaker 1: and I was so wrong. I literally couldn't get a 142 00:07:57,880 --> 00:08:02,120 Speaker 1: job anywhere. Eventually took a job at a staffing agency, 143 00:08:02,480 --> 00:08:05,040 Speaker 1: hated it. And he quit, which means it definitely wasn't 144 00:08:05,040 --> 00:08:07,920 Speaker 1: a job at Express Employment Professionals. He then got a 145 00:08:08,000 --> 00:08:10,840 Speaker 1: job as a receptionist at McCann, the ad agency of 146 00:08:10,920 --> 00:08:14,480 Speaker 1: Madman Fame, and he was super interested in McCann's UX 147 00:08:14,560 --> 00:08:17,640 Speaker 1: department and ended up shadowing there, getting his first taste 148 00:08:17,680 --> 00:08:20,560 Speaker 1: of coding in the tech world, which he loved. He 149 00:08:20,680 --> 00:08:23,160 Speaker 1: got a full time UX coding job afterwards at a 150 00:08:23,200 --> 00:08:25,560 Speaker 1: different agency, And then about three years later, I was 151 00:08:25,640 --> 00:08:28,960 Speaker 1: working UX job that I really liked. But I kind 152 00:08:28,960 --> 00:08:30,520 Speaker 1: of looked back and I said to myself, I was like, 153 00:08:30,520 --> 00:08:32,840 Speaker 1: how did I get here? Like I didn't study UX 154 00:08:32,840 --> 00:08:34,160 Speaker 1: in college, and I didn't know what I was going 155 00:08:34,200 --> 00:08:38,040 Speaker 1: to do? And wait, wait, wait, wait, wait, sorry, what 156 00:08:38,200 --> 00:08:41,679 Speaker 1: happened to the Manila folder with the one with all 157 00:08:41,679 --> 00:08:45,240 Speaker 1: your records? It's at my house. Yeah, it's so funny 158 00:08:46,679 --> 00:08:48,800 Speaker 1: you have it. Yeah, it's still I still have it 159 00:08:48,840 --> 00:08:51,520 Speaker 1: at my house. How does that make you feel? Do 160 00:08:51,520 --> 00:08:56,280 Speaker 1: you feel guilty about it at all? Oh, that's a 161 00:08:56,360 --> 00:09:04,920 Speaker 1: good question. I feel guilty. No, I don't feel guilty 162 00:09:05,000 --> 00:09:08,680 Speaker 1: that I got into college, Like the system wasn't working 163 00:09:08,720 --> 00:09:12,160 Speaker 1: for me, and it was so obviously not working that 164 00:09:12,240 --> 00:09:15,600 Speaker 1: I had to make it work, and that was the 165 00:09:15,679 --> 00:09:20,079 Speaker 1: only way, Like there was no if. I'd much rather 166 00:09:20,160 --> 00:09:23,640 Speaker 1: be a productive member of society than an unproductive member 167 00:09:23,640 --> 00:09:25,880 Speaker 1: of society. And I can't see how I would have 168 00:09:25,920 --> 00:09:27,760 Speaker 1: gotten to where I am right now if that could 169 00:09:27,840 --> 00:09:34,960 Speaker 1: not stolen my that Manila folder. So yeah, do I 170 00:09:35,000 --> 00:09:37,960 Speaker 1: feel bad? No? Do I think the system is broken? Yes, 171 00:09:43,240 --> 00:09:45,560 Speaker 1: We'll get back to our story in a second. First, 172 00:09:45,760 --> 00:09:50,400 Speaker 1: a word from Express Employment Professionals. A strong work ethic 173 00:09:51,320 --> 00:09:55,920 Speaker 1: takes pride in a job well done, sweats over the details. 174 00:09:57,040 --> 00:10:00,480 Speaker 1: This is you. But to get an honest day work, 175 00:10:00,800 --> 00:10:04,480 Speaker 1: you need a response. You need a callback, You need 176 00:10:04,679 --> 00:10:09,839 Speaker 1: a job. Express Employment Professionals can help because we understand 177 00:10:09,920 --> 00:10:12,440 Speaker 1: what it takes to get a job. It takes more 178 00:10:12,480 --> 00:10:15,559 Speaker 1: than just online searches to land a job. It takes 179 00:10:15,559 --> 00:10:19,360 Speaker 1: someone who will identify your talents, a person invested in 180 00:10:19,440 --> 00:10:23,359 Speaker 1: your success. At Express, we can even complete your application 181 00:10:23,480 --> 00:10:26,439 Speaker 1: with you over the phone, will prepare you for interviews, 182 00:10:26,520 --> 00:10:29,400 Speaker 1: and will connect you to the right company. Plus, we'll 183 00:10:29,440 --> 00:10:32,400 Speaker 1: never charge a fee to find you a job. At Express, 184 00:10:32,720 --> 00:10:34,800 Speaker 1: we could put you to work with companies of all 185 00:10:34,880 --> 00:10:38,640 Speaker 1: sizes and industries, from the production floor to the front office. 186 00:10:39,000 --> 00:10:43,240 Speaker 1: Express nose Jobs, get to no Express, find your location 187 00:10:43,320 --> 00:10:46,840 Speaker 1: at expresspros dot com or on the Express Jobs app. 188 00:10:49,360 --> 00:10:54,760 Speaker 1: Now back to on the job. So, with this second 189 00:10:54,840 --> 00:11:01,160 Speaker 1: chance mentality in mind, Benny started Burlington Code Academy. Burlington 190 00:11:01,240 --> 00:11:04,680 Speaker 1: Code Academy is an immersive, full time program that prepares 191 00:11:04,720 --> 00:11:07,439 Speaker 1: graduates to enter a new career as a web developer 192 00:11:07,600 --> 00:11:11,000 Speaker 1: in twelve weeks. That's Benny's voice in a promo video 193 00:11:11,080 --> 00:11:14,040 Speaker 1: for BCA. Right after they got started, they were immediately 194 00:11:14,080 --> 00:11:17,280 Speaker 1: getting really positive feedback from students enrolling in the programs. 195 00:11:17,600 --> 00:11:20,720 Speaker 1: It really is project based learning during projects every single 196 00:11:20,800 --> 00:11:25,240 Speaker 1: day in collaboration with other students. What sets BCA apart 197 00:11:25,520 --> 00:11:28,480 Speaker 1: is that they recognize the problem with the tech world 198 00:11:28,800 --> 00:11:32,320 Speaker 1: that the technology itself is usually what keeps people away 199 00:11:32,360 --> 00:11:34,920 Speaker 1: from these kinds of jobs. Yes, unlike a lot of 200 00:11:34,960 --> 00:11:38,719 Speaker 1: other boot camps, we actually don't accept students based off 201 00:11:38,760 --> 00:11:41,320 Speaker 1: of technical skills, So you don't have to have any 202 00:11:41,360 --> 00:11:44,040 Speaker 1: technical skills to come to our program at all. Small 203 00:11:44,040 --> 00:11:47,319 Speaker 1: class size, so the teachers and the tas are very 204 00:11:47,360 --> 00:11:50,320 Speaker 1: accessible and always willing to help. So Benny says, to 205 00:11:50,360 --> 00:11:53,120 Speaker 1: get into the program, you have to have people skills. 206 00:11:53,360 --> 00:11:54,839 Speaker 1: You've got to be able to work on a team, 207 00:11:55,040 --> 00:11:57,600 Speaker 1: have good verbal skills. You have to want to learn 208 00:11:57,960 --> 00:12:01,040 Speaker 1: and want to work. That's for us helped a lot 209 00:12:01,080 --> 00:12:03,000 Speaker 1: of folks who might have been shut out from other 210 00:12:03,040 --> 00:12:05,920 Speaker 1: coding boot camps get through our doors and into a 211 00:12:05,960 --> 00:12:08,480 Speaker 1: tech job. It's a blast, and I just think if 212 00:12:08,480 --> 00:12:12,200 Speaker 1: I could get to do this professionally, if this could 213 00:12:12,200 --> 00:12:16,280 Speaker 1: be my job, that'd be great. Most of the people 214 00:12:16,360 --> 00:12:19,720 Speaker 1: that have come through our doors, they're a lot like me. Actually, 215 00:12:19,760 --> 00:12:24,000 Speaker 1: they're not your prime candidate for tech job. Ben He's 216 00:12:24,000 --> 00:12:26,720 Speaker 1: seen Walgreens cash years quit their jobs and go to 217 00:12:26,760 --> 00:12:30,400 Speaker 1: Burlington Code Academy and leave with jobs making eighty thousand 218 00:12:30,400 --> 00:12:35,920 Speaker 1: dollars a year. We've had parents, including single mothers, able 219 00:12:36,160 --> 00:12:38,520 Speaker 1: to get a job that would allow them to work 220 00:12:38,640 --> 00:12:41,800 Speaker 1: from home and take care of their kids. They've had 221 00:12:41,840 --> 00:12:45,080 Speaker 1: people right off assembly lines breathing not just fumes, or 222 00:12:45,160 --> 00:12:48,720 Speaker 1: people working tough manual labor jobs into old age, people 223 00:12:48,800 --> 00:12:51,200 Speaker 1: in physical pain from their work who were able to 224 00:12:51,200 --> 00:12:54,880 Speaker 1: find more sedentary jobs like coding or software development. We've 225 00:12:54,920 --> 00:12:59,600 Speaker 1: had women be able to leave abusive relationships on multiple 226 00:12:59,600 --> 00:13:02,640 Speaker 1: occasion because they've had the earning power to move out 227 00:13:02,640 --> 00:13:06,000 Speaker 1: of their house after going to Burlington Code Academy. There's 228 00:13:06,080 --> 00:13:10,000 Speaker 1: just been so many stories of people who have never 229 00:13:10,480 --> 00:13:12,439 Speaker 1: thought that they were going to be a code or 230 00:13:13,320 --> 00:13:15,200 Speaker 1: they didn't think that they could do it until we 231 00:13:15,280 --> 00:13:19,200 Speaker 1: existed and you opened up in twenty seventeen. How many 232 00:13:19,200 --> 00:13:22,320 Speaker 1: people have been through the program so far, So we've 233 00:13:22,360 --> 00:13:25,360 Speaker 1: helped almost a couple hundred people find their first job 234 00:13:25,400 --> 00:13:30,319 Speaker 1: in tech. Wow. When you think about those stories, how 235 00:13:30,320 --> 00:13:33,280 Speaker 1: does that make you feel like as a person who 236 00:13:33,360 --> 00:13:36,679 Speaker 1: was part of making them happen? I don't know, You know, 237 00:13:36,840 --> 00:13:39,240 Speaker 1: I don't think about it that much, to be honest, 238 00:13:39,520 --> 00:13:42,120 Speaker 1: and I probably should, but I don't. I'll tell you why. 239 00:13:42,240 --> 00:13:46,040 Speaker 1: Because Burlington Code Academy has done such a good job 240 00:13:46,080 --> 00:13:50,600 Speaker 1: at amplifying the voices of folks who are in a 241 00:13:50,640 --> 00:13:56,240 Speaker 1: lot of ways underserved or in some scenarios underprivileged. And 242 00:13:56,360 --> 00:14:01,000 Speaker 1: that's really great. But it's just not enough. It's really 243 00:14:01,040 --> 00:14:07,480 Speaker 1: not it's really meaningful. The most meaningful part of my 244 00:14:07,600 --> 00:14:09,840 Speaker 1: job is to hear when a student gets a job. 245 00:14:09,880 --> 00:14:13,720 Speaker 1: That's absolutely that makes everything worth it, even the high 246 00:14:13,760 --> 00:14:16,160 Speaker 1: highs and the low lows. It's when a student gets 247 00:14:16,160 --> 00:14:19,600 Speaker 1: the job that's what is the most important piece of 248 00:14:19,600 --> 00:14:24,280 Speaker 1: what we do. Every day, But that's one student. I'm Burlanken. 249 00:14:24,360 --> 00:14:27,840 Speaker 1: Code Academy has graduated a couple hundred people and that's 250 00:14:27,840 --> 00:14:32,600 Speaker 1: been three years now. You know, it's like really great 251 00:14:32,800 --> 00:14:36,360 Speaker 1: because we're doing it, but it's not at the level 252 00:14:36,400 --> 00:14:42,720 Speaker 1: of which I want to. Benny's ambition is pretty daunting, 253 00:14:42,720 --> 00:14:45,480 Speaker 1: to be honest, but talking with him, I get it. 254 00:14:46,040 --> 00:14:48,720 Speaker 1: You know, he's helped two hundred people in a very 255 00:14:48,840 --> 00:14:52,880 Speaker 1: rural state find jobs in the coding and software development world. 256 00:14:53,400 --> 00:14:57,080 Speaker 1: That's huge. But if the boot camps could help so 257 00:14:57,120 --> 00:15:00,320 Speaker 1: many people so quickly, if the demand for the is 258 00:15:00,400 --> 00:15:03,400 Speaker 1: that high, why aren't they the standard in so many 259 00:15:03,480 --> 00:15:07,000 Speaker 1: rural areas. Your whole thing is that not that like 260 00:15:07,280 --> 00:15:11,840 Speaker 1: some people can't do these tech jobs, is that they 261 00:15:11,880 --> 00:15:14,880 Speaker 1: can't see them, So how would they even know how 262 00:15:14,920 --> 00:15:17,600 Speaker 1: to go about it? Exactly the way I think about 263 00:15:17,600 --> 00:15:23,840 Speaker 1: it is, if you are in the middle of West Virginia, 264 00:15:24,200 --> 00:15:26,280 Speaker 1: near a coal mine or even more rule than that, 265 00:15:26,800 --> 00:15:29,840 Speaker 1: and there is no college near you, would you ever 266 00:15:29,960 --> 00:15:34,960 Speaker 1: consider college? You can't do what you can't see, Yeah, exactly, Like, 267 00:15:35,320 --> 00:15:37,160 Speaker 1: there is no reason why you shouldn't be able to 268 00:15:37,200 --> 00:15:39,600 Speaker 1: go to your local community college and take a coding 269 00:15:39,640 --> 00:15:42,280 Speaker 1: boot game. That's that should be, that should be a 270 00:15:42,280 --> 00:15:50,600 Speaker 1: staple in their curriculum and in it will be the 271 00:15:50,680 --> 00:15:53,600 Speaker 1: reason he's so confident because that is what he's doing now. 272 00:15:54,160 --> 00:15:56,320 Speaker 1: In the last couple of years, he started a new 273 00:15:56,360 --> 00:15:59,840 Speaker 1: company called Upright Education, which will help colleges all over 274 00:15:59,840 --> 00:16:02,440 Speaker 1: the country set up the same boot camp programs he 275 00:16:02,520 --> 00:16:06,240 Speaker 1: started at Burlington Code Academy. He says, with the enormous 276 00:16:06,280 --> 00:16:09,880 Speaker 1: growth in community college over the last few decades, America's 277 00:16:09,920 --> 00:16:14,240 Speaker 1: infrastructure to make these classes accessible is already there. His 278 00:16:14,400 --> 00:16:16,960 Speaker 1: goal is to just use it. The truth is, the 279 00:16:17,120 --> 00:16:20,760 Speaker 1: system isn't what we're trying to change. You have to 280 00:16:20,800 --> 00:16:25,720 Speaker 1: work with the resources that are already available. These schools 281 00:16:25,720 --> 00:16:28,200 Speaker 1: are working because colleges do work. They have uplifted to 282 00:16:28,280 --> 00:16:31,800 Speaker 1: middle class, they have uplifted to lower income families. So 283 00:16:32,080 --> 00:16:34,120 Speaker 1: it's working now. We just need to make it work 284 00:16:34,160 --> 00:16:38,080 Speaker 1: for the twenty first century. When you think about doing that, 285 00:16:38,920 --> 00:16:42,560 Speaker 1: in your head, do you imagine young Benny who was 286 00:16:42,640 --> 00:16:45,360 Speaker 1: kind of failed by the system? Are you kind of 287 00:16:45,360 --> 00:16:51,960 Speaker 1: like making something for him? That's funny, These are all 288 00:16:52,040 --> 00:16:59,160 Speaker 1: questions Zones ever asking. I've never thought about I kind 289 00:16:59,160 --> 00:17:02,440 Speaker 1: of more think about my parents. Actually because they were 290 00:17:02,440 --> 00:17:06,280 Speaker 1: of immigrants, you know, to this country, and it was 291 00:17:06,320 --> 00:17:08,680 Speaker 1: really hard for them. You know. They were like forward 292 00:17:08,840 --> 00:17:12,639 Speaker 1: by everything here, let alone like how the job market worked. 293 00:17:13,160 --> 00:17:16,080 Speaker 1: The purpose of what we do is for people like 294 00:17:16,240 --> 00:17:18,720 Speaker 1: my parents. The reason why we do it is because 295 00:17:19,440 --> 00:17:22,640 Speaker 1: Benny went to college. Benny is a self starter. Young 296 00:17:22,720 --> 00:17:25,600 Speaker 1: Benny was also rebellious and probably take up a lot 297 00:17:25,640 --> 00:17:28,480 Speaker 1: on his own. But my parents didn't have an opportunity. 298 00:17:30,359 --> 00:17:32,760 Speaker 1: They did everything they could to give my brother and 299 00:17:32,800 --> 00:17:34,720 Speaker 1: I a good life, and I think about what would 300 00:17:34,720 --> 00:17:37,720 Speaker 1: have been like if they would have had an opportunity 301 00:17:37,800 --> 00:17:40,440 Speaker 1: to have gotten to a stable career earlier in their life. 302 00:17:46,920 --> 00:17:50,359 Speaker 1: I'll be honest. Hearing Benny's story made me think about 303 00:17:50,400 --> 00:17:52,760 Speaker 1: second chances in a way that I hadn't in a while. 304 00:17:53,560 --> 00:17:55,840 Speaker 1: Like think of that punk kid you knew in high school, 305 00:17:56,160 --> 00:17:58,000 Speaker 1: or maybe a family member who has been in and 306 00:17:58,040 --> 00:18:00,880 Speaker 1: out of trouble and couldn't hold a job. Maybe it's 307 00:18:00,920 --> 00:18:03,280 Speaker 1: you having a hard time knowing what you're gonna do 308 00:18:03,359 --> 00:18:06,320 Speaker 1: with your life. Maybe it's not that you don't fit 309 00:18:06,400 --> 00:18:10,400 Speaker 1: into the world. Maybe is that the world doesn't fit you. 310 00:18:11,280 --> 00:18:14,920 Speaker 1: And given a Manila folder a second chance at finding 311 00:18:14,960 --> 00:18:18,919 Speaker 1: something that works for you? What could you do with it? 312 00:18:24,119 --> 00:18:26,880 Speaker 1: With a year that we've all been deeply affected by. 313 00:18:27,480 --> 00:18:29,560 Speaker 1: I think most people can get down with the idea 314 00:18:29,640 --> 00:18:33,560 Speaker 1: of adover, And in spite of historically high unemployment numbers, 315 00:18:33,920 --> 00:18:36,200 Speaker 1: Benny has made it his job to make sure people 316 00:18:36,200 --> 00:18:38,680 Speaker 1: who need a second shot at least have the option 317 00:18:38,760 --> 00:18:42,560 Speaker 1: to take it. I'm not gonna feel satisfied until we 318 00:18:43,080 --> 00:18:45,119 Speaker 1: make a big dent in any of those numbers that 319 00:18:45,160 --> 00:18:47,919 Speaker 1: I mentioned earlier. You got your work cut out for you. 320 00:18:48,359 --> 00:19:01,040 Speaker 1: It'll work out. We'll get there. For On the Job, 321 00:19:01,359 --> 00:19:08,480 Speaker 1: I'm Otis Gray. Thanks for listening to On the Job, 322 00:19:08,720 --> 00:19:12,560 Speaker 1: brought to you by Express Employment Professionals. The season of 323 00:19:12,600 --> 00:19:15,639 Speaker 1: On the Job is produced by Audiation. The episodes were 324 00:19:15,680 --> 00:19:19,320 Speaker 1: written and produced by me Otis Gray. Our executive producer 325 00:19:19,400 --> 00:19:22,240 Speaker 1: is Sandy Smallens. The show is mixed by Matt Noble 326 00:19:22,320 --> 00:19:25,280 Speaker 1: for Audiation Studios at the Loft in Bronxville, New York. 327 00:19:25,680 --> 00:19:29,639 Speaker 1: Music by Blue Dot Sessions. Find us on iHeartRadio and 328 00:19:29,680 --> 00:19:33,520 Speaker 1: Apple Podcasts. If you liked what you heard, please consider 329 00:19:33,600 --> 00:19:36,440 Speaker 1: rating and reviewing the show on Apple Podcasts or wherever 330 00:19:36,520 --> 00:19:40,320 Speaker 1: you listen. We'll see you next time for more inspiring stories, 331 00:19:40,359 --> 00:19:50,600 Speaker 1: about discovering your life's work. Audition