WEBVTT - Update: Affirmative Action in Silicon Valley

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<v Speaker 1>Hey everyone, it's Aki. This week, we're re airing an

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<v Speaker 1>episode that we first published in January. Stick around because

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<v Speaker 1>we'll be back at the end with an update. Today's

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<v Speaker 1>episode is about a guy called Mitchel Lee. He runs

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<v Speaker 1>a startup called Penny in San Francisco. We'll tell you

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<v Speaker 1>later about what Penny does. For now, what you need

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<v Speaker 1>to know is Penny is almost two years old and

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<v Speaker 1>it's really small. It's Mitch, his co founder, Alex, and

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<v Speaker 1>two employees. They're all software engineers, and big surprise, they're

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<v Speaker 1>all guys. A few months ago, Mitch started looking for

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<v Speaker 1>a fifth employee, and he wanted that fifth person to

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<v Speaker 1>be different from him and the rest of the team.

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<v Speaker 1>And since this is a podcast and we can't just

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<v Speaker 1>show you a picture of Mitch, we asked Mitch's sister

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<v Speaker 1>Christina to describe what he looks like. He's always got

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<v Speaker 1>some like really soft hoodie or two shirt on in

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<v Speaker 1>jeans or corduroys. If he was walking down the street,

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<v Speaker 1>you probably wouldn't necessarily notice. He blends in pretty well. Basically,

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<v Speaker 1>Mitch looks just like a lot of other people in

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<v Speaker 1>Silicon Valley. He's young, he's white, he's straight, and he

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<v Speaker 1>went to a top college. Yeah, he even has this

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<v Speaker 1>neatly trimmed beard, and perhaps because he's a cyclist like

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<v Speaker 1>the rest of San Francisco, he has a nice tan too.

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<v Speaker 1>In Silicon Valley, most programmers are white and Asian men

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<v Speaker 1>who have computer science degrees from elite universities. But for

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<v Speaker 1>Mitch's next higher he's committed to looking outside that pool

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<v Speaker 1>of people. That's pretty unusual for a company of penny size.

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<v Speaker 1>Some people would call it affirmative action hiring, because Mitch

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<v Speaker 1>is going to be actively considering the candidates background when

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<v Speaker 1>he's deciding who to hire. And it's a very touchy topic.

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<v Speaker 1>As we'll find out, not everyone agrees that it's the

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<v Speaker 1>right thing to do him and I'm Ellen Hewitt, and

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<v Speaker 1>this week Undecrypted, we're gonna be talking about something that

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<v Speaker 1>every technology company says they want to do something about,

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<v Speaker 1>which is diversity in the workforce. Well, they want to

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<v Speaker 1>talk about it in these lofty slogans, but when you

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<v Speaker 1>actually drill into the specifics, things start to get uncomfortable.

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<v Speaker 1>We found one of the few guys in the industry

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<v Speaker 1>willing to speak completely openly, willing to get really uncomfortable

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<v Speaker 1>with us, someone who's trying to do something to fix

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<v Speaker 1>the lack of diversity and tech from within his own

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<v Speaker 1>tiny startup. Oh cool, I look at this giant chess board.

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<v Speaker 1>The guy's penny work in a small coworking space in

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<v Speaker 1>downtown San Francisco. They're on a shoestring budget. It's really

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<v Speaker 1>not a glamorous place. They don't have free snacks. There

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<v Speaker 1>isn't very good natural light, and their office is about

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<v Speaker 1>the size of the bedroom room, A spacious, lovely I

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<v Speaker 1>was telling her, I'm excited for her to see how

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<v Speaker 1>like the other half of startups live, this is the

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<v Speaker 1>don't spend a lot of money half of starposts. Inside

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<v Speaker 1>this tiny office, there are four guys sitting side by side.

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<v Speaker 1>My name's Mitch. I grew up in San Jose. I'm

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<v Speaker 1>a mid twenties white guy. I'm Alex and I just

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<v Speaker 1>Stanford is American. My name's Andrew Dennis. I'm half black,

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<v Speaker 1>half white. UM I'm married and I'm my dad. I

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<v Speaker 1>am Jonathan and I was born in Taiwan and I

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<v Speaker 1>grew up in Maryland. All four of them believe it's

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<v Speaker 1>the right move for their company to be prioritizing diversity now,

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<v Speaker 1>not because it's the right thing to do, they also

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<v Speaker 1>believe it will help their product. Yeah, Penny is this

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<v Speaker 1>app that links to your bank accounts and can give

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<v Speaker 1>you financial advice based on your spending patterns. Here's Mitch.

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<v Speaker 1>As we were working on that core product, we were realizing,

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<v Speaker 1>we're both two software engineers that grew up in the

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<v Speaker 1>Bay Area. How are we going to get a product

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<v Speaker 1>that does well in Montana and Kansas and Maine. And

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<v Speaker 1>our answer to that was, we should be solving this

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<v Speaker 1>by building out a diverse team that can empathize with

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<v Speaker 1>people from different parts of the country, from different genders

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<v Speaker 1>or different ethnicities. And you use the app by messaging

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<v Speaker 1>this chat bot, this computer program that texts back and

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<v Speaker 1>forth with you. The chat bot is called Penny, and

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<v Speaker 1>Penny has a female face. But at the beginning, everything

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<v Speaker 1>Penny said was written by two guys, Alex and Mitch.

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<v Speaker 1>Here's Mitch's fiance Lizzie Wagner, explaining one way that when awry,

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<v Speaker 1>so they started to use a little bit of like

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<v Speaker 1>a snarky tone. You know, when you use like a

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<v Speaker 1>winky emoji, it can also be considered flirty. So I

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<v Speaker 1>told him I just read this conversation and I think

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<v Speaker 1>Penny was flirting with me, and he was like, no way,

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<v Speaker 1>it's a computer, it can't flirt, and I was like, no,

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<v Speaker 1>it's a flirty conversation. He's like, this is exactly why

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<v Speaker 1>we need more diverse perspectives, because Alex and I never

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<v Speaker 1>even thought about that comment being taken that way. And

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<v Speaker 1>building a relatable chatbot is super important when you're guiding

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<v Speaker 1>customers through something as personal and sensitive and daunting as

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<v Speaker 1>your finances. When a user writes in and says, I

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<v Speaker 1>overdraft a lot, how do you respond? And some people

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<v Speaker 1>will respond with, well, they should stop spending that much money.

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<v Speaker 1>Other people will put themselves in their shoes and say

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<v Speaker 1>that really sucks. That level of empathy doesn't come if

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<v Speaker 1>everyone thinks and acts the same way in a room,

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<v Speaker 1>They're all just gonna confirm each other's opinions of like, well,

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<v Speaker 1>that person shouldn't be spending money they don't have. And

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<v Speaker 1>Penny stands out from the rest of startups and Silicon

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<v Speaker 1>Valley because it's focusing on hiring for diversity so early

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<v Speaker 1>in the company's history. I think the default for early

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<v Speaker 1>stage companies is not necessarily an aversion to diversity. It's

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<v Speaker 1>not an active process of saying we are only going

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<v Speaker 1>to hire people that look and sound just like us.

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<v Speaker 1>It's the idea that we want to move fast, and

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<v Speaker 1>the fastest way to hire people is to pull from

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<v Speaker 1>our network. They get this big paycheck from a venture

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<v Speaker 1>capital firm and they say, great, we're going to spend

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<v Speaker 1>it immediately. They expand their team from two or four

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<v Speaker 1>people to eight or twelve. If you punt the issue

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<v Speaker 1>of diversity down the line, it becomes much harder because

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<v Speaker 1>when you have eleven men on your team on a

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<v Speaker 1>twelve person team, it becomes a hostile work environment for

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<v Speaker 1>women trying to enter into that team. When you have

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<v Speaker 1>a group of all white or all Asian people sitting

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<v Speaker 1>in the same room together, it makes it hostile for

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<v Speaker 1>other minority groups to join that environment. These kinds of

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<v Speaker 1>companies really do exist. We talked to Jennifer Barbattini, as

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<v Speaker 1>software engineer who interviewed with Penny in September, though she

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<v Speaker 1>didn't get the job. I remember there was one company

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<v Speaker 1>that I interviewed with. It was a smallish company like

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<v Speaker 1>fifteen to twenty. They had ten engineers. All ten were male.

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<v Speaker 1>And all ten were from Stanford, and I was like,

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<v Speaker 1>I don't know if I'm a good fit here, like,

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<v Speaker 1>and the hiring person was telling me, We're we're trying

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<v Speaker 1>to be diverse, and I'm like, well, okay, but still

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<v Speaker 1>like this is a little intimidating. I don't have a

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<v Speaker 1>Stanford credential. Um, I'm I'm definitely not. I can't brow talk.

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<v Speaker 1>If it's a problem at a startup with twenty people,

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<v Speaker 1>imagine what it's like at a Google or Facebook or Twitter.

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<v Speaker 1>They have thousands, sometimes tens of thousands of employees, only

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<v Speaker 1>about thirty are women, and only about six percent are

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<v Speaker 1>black or Latino. These companies can hire only people from

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<v Speaker 1>those groups for the next year and their numbers would

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<v Speaker 1>barely move. So it makes sense to start early. But

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<v Speaker 1>the problem for startups is the pressure they're under in

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<v Speaker 1>the very early days. You have maybe a year of

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<v Speaker 1>funding in the bank, you have a bunch of competitors,

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<v Speaker 1>and if you can't hire quickly to build quickly your toast.

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<v Speaker 1>The consensus opinion is start worrying about it. When your

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<v Speaker 1>product is successful enough that you know that you're going

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<v Speaker 1>to be building out a team for the long run.

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<v Speaker 1>Even someone like Mitch, who's really determined to focus on this.

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<v Speaker 1>He's run into a lot of obstacles. Remember, Mitch isn't

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<v Speaker 1>this diversity or HR expert. He's just a programmer trying

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<v Speaker 1>to figure it out as he goes along. From a

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<v Speaker 1>macro perspective of actively pursuing diversity, I'm almost but implementation wise,

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<v Speaker 1>I'm i am just throwing darts on board and and

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<v Speaker 1>hoping that we'll learn enough from those to get better.

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<v Speaker 1>Every Monday, Mitch logs onto recruiting sites like angel Lists, Hired,

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<v Speaker 1>and Triple Bite. He's looking for candidates or approach, and

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<v Speaker 1>he'll spend one or two hours on each platform. He

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<v Speaker 1>said it takes him maybe six hours on Monday to

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<v Speaker 1>do that outreach, and then the follow up throughout the

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<v Speaker 1>week brings his time to about fifteen hours every week

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<v Speaker 1>just to fill one role. We spent one such Monday

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<v Speaker 1>with Mitch. As you look through a fresh badge at candidates.

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<v Speaker 1>These ones he found and hired this week, there were

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<v Speaker 1>forty two that matched to search criteria. The very first

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<v Speaker 1>candidate has really which is great, comes from a university

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<v Speaker 1>I've never heard of, also great, and then has experience

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<v Speaker 1>in different areas and you see the person's photos, and

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<v Speaker 1>you see the person's photo and their name, UM, and

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<v Speaker 1>actually what salary they're interested in, which is pretty interesting.

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<v Speaker 1>So I will start looking through this. Fortunately, when you

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<v Speaker 1>have forty two people every week on this platform, plus

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<v Speaker 1>the hundreds across, a lot of startups look at these

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<v Speaker 1>sites when they're trying to hire. But after a while,

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<v Speaker 1>Mitch realized that these job sites, they're only good for

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<v Speaker 1>finding a certain kind of candidate. Angel List is great, UM,

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<v Speaker 1>but not a good place to look for diversity. Same

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<v Speaker 1>with many of the hiring platforms that we tried. H

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<v Speaker 1>I've asked them about that in the past, and the

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<v Speaker 1>typical answer is, sorry, this is just what's available. This

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<v Speaker 1>is the pool of candidates. It's predominantly male, it's predominantly white, orasan.

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<v Speaker 1>So Mitch started to look for ways to find people

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<v Speaker 1>with more varied profiles, things like newsletters and meet ups

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<v Speaker 1>for women and engineering. He also looked for new graduates

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<v Speaker 1>from coding boot camps, which teach you how to code

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<v Speaker 1>in a short period of time. These people tend to

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<v Speaker 1>come from unusual backgrounds, but boot camps didn't turn out

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<v Speaker 1>to be particularly helpful for Mitch. He found that a

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<v Speaker 1>lot of these graduates didn't have enough experience to start

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<v Speaker 1>contributing right away, and Penny, as a young startup, doesn't

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<v Speaker 1>have the resources to train them. To apply to Penny,

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<v Speaker 1>you have to complete a coding questionnaire, kind of like

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<v Speaker 1>a TACOME test. And Mitch found that some people who

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<v Speaker 1>started it weren't finishing. And a lot of the people

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<v Speaker 1>who were dropping out were people who didn't have computer

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<v Speaker 1>science degrees, or were women, or were programmers of color,

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<v Speaker 1>and it was often these candidates that Mitch was most

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<v Speaker 1>interested in. Mitch suspect did it might have something to

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<v Speaker 1>do with a lack of confidence, Like these people with

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<v Speaker 1>non traditional backgrounds are taking themselves out of the running

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<v Speaker 1>before they even tried. Maybe the job description will say

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<v Speaker 1>you have to have at least three years of experience,

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<v Speaker 1>and let's say often the men with two years of

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<v Speaker 1>experience will apply anyway, but the women wouldn't. So Mitch

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<v Speaker 1>he tried something new. Before the break, Mitch had a

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<v Speaker 1>realization that the very candidates he was interested in were

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<v Speaker 1>taking themselves out of the running, maybe because they didn't

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<v Speaker 1>think they would get the job anyway. Here's what he

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<v Speaker 1>decided to do about it. When we get the sense

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<v Speaker 1>that somebody has either a confidence issue, like just doesn't

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<v Speaker 1>think they're a good fit for the position or doesn't

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<v Speaker 1>think they have the skill set required, we will have

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<v Speaker 1>a lot more contact with that person to assuage their fears.

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<v Speaker 1>That may mean a phone screen much earlier in the process,

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<v Speaker 1>It may mean more check in emails. That helped him

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<v Speaker 1>shepherd more people through the whole process, not just the

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<v Speaker 1>ultra confident ones. And that was a small success, but

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<v Speaker 1>it all came at a real cost in the form

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<v Speaker 1>of Mitch's time. The fifteen hours a week that Mitch

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<v Speaker 1>was spending on recruiting, that's fifteen hours he's not coding

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<v Speaker 1>or troubleshooting or mentoring his team. Mitch said it was

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<v Speaker 1>worth it, but you can see why a lot of

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<v Speaker 1>other founders in his position wouldn't really have the time

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<v Speaker 1>to do this. And that brings us to the most

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<v Speaker 1>controversial part. When you get to that final stage, would

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<v Speaker 1>you pick one person or another because they're a minority candidate?

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<v Speaker 1>What would you do? I talked to Jay Shriney Vassan.

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<v Speaker 1>He's the CEO of Spoke, which is a nine person

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<v Speaker 1>enterprise startup in San Francisco. Like Mitch J says he

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<v Speaker 1>wants a diverse team, but he said he's not comfortable

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<v Speaker 1>with making someone's ethnicity or gender one of the reasons

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<v Speaker 1>why he's hiring them. He explicitly did not factor that

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<v Speaker 1>into the final decision because I think that's unfair to

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<v Speaker 1>us as well as the person being hired. UM. At

0:14:28.000 --> 0:14:30.840
<v Speaker 1>the end of the day, UM, we want to have

0:14:30.920 --> 0:14:35.440
<v Speaker 1>the best people possible for each role in our company,

0:14:35.960 --> 0:14:39.760
<v Speaker 1>and this makes sense right. Picking someone in part because

0:14:39.800 --> 0:14:41.760
<v Speaker 1>of what they look like can even be seen as

0:14:41.800 --> 0:14:45.680
<v Speaker 1>employment discrimination, or it can feel patronizing to the person

0:14:45.720 --> 0:14:48.880
<v Speaker 1>who was hired. These are the kind of counter arguments

0:14:48.920 --> 0:14:52.200
<v Speaker 1>you hear a lot in Silicon Valley and elsewhere. But

0:14:52.320 --> 0:14:56.760
<v Speaker 1>we asked, Mitch, here are two hypothetical candidates equally strong,

0:14:56.880 --> 0:15:00.680
<v Speaker 1>encoding and other important values at Penny, but one's a

0:15:00.720 --> 0:15:03.600
<v Speaker 1>white guy and the other has a less typical background.

0:15:03.920 --> 0:15:08.520
<v Speaker 1>Who would you hire? You just said that they're equally qualified.

0:15:08.920 --> 0:15:13.400
<v Speaker 1>What we're saying is that the the people that were

0:15:13.440 --> 0:15:16.880
<v Speaker 1>interested in hiring were weighing them across all these factors,

0:15:16.960 --> 0:15:19.760
<v Speaker 1>and so somebody with a diverse background and a totally

0:15:19.800 --> 0:15:24.360
<v Speaker 1>different perspective, in our opinion, is more qualified. For the

0:15:24.400 --> 0:15:27.160
<v Speaker 1>position that we're trying to fill. Giving us a perspective

0:15:27.160 --> 0:15:30.920
<v Speaker 1>that we've never considered helps the product more than somebody

0:15:30.960 --> 0:15:34.320
<v Speaker 1>that has our same perspective but as good at engineering.

0:15:34.760 --> 0:15:37.520
<v Speaker 1>Did you have put back from people who felt like,

0:15:38.080 --> 0:15:40.600
<v Speaker 1>what's unfair? Should I be punished for going to Stanford? Right?

0:15:41.160 --> 0:15:45.320
<v Speaker 1>What's exactly that should I be punished for going to Stanford?

0:15:46.160 --> 0:15:48.680
<v Speaker 1>It's it's something that I don't have a good answer to,

0:15:49.320 --> 0:15:54.680
<v Speaker 1>other than the entire playing field is leaning in your direction.

0:15:56.880 --> 0:15:59.640
<v Speaker 1>I know that it can feel like in that specific

0:15:59.760 --> 0:16:05.000
<v Speaker 1>and sense um you're being discriminated against or you're somehow

0:16:05.080 --> 0:16:09.600
<v Speaker 1>unfairly disadvantaged, but you are unfairly advantaged everywhere else in

0:16:09.640 --> 0:16:13.280
<v Speaker 1>your life. So it's just, uh, it's just a slight

0:16:13.360 --> 0:16:17.480
<v Speaker 1>tilt of the playing field a little less in your favor, um,

0:16:17.680 --> 0:16:21.000
<v Speaker 1>which I'm okay with. I can I can sleep easy

0:16:21.080 --> 0:16:24.000
<v Speaker 1>at night knowing that, knowing that if you graduated from

0:16:24.000 --> 0:16:27.280
<v Speaker 1>Stanford you're going to be fine. I'm not worried about you.

0:16:29.640 --> 0:16:32.120
<v Speaker 1>And we just heard Mitch laughing there, But you can

0:16:32.160 --> 0:16:36.440
<v Speaker 1>tell just how carefully and deliberately Mitch has been choosing

0:16:36.520 --> 0:16:40.120
<v Speaker 1>his words through this whole interview. His face was flushed.

0:16:40.240 --> 0:16:43.120
<v Speaker 1>You could really tell that he was nervous. And I

0:16:43.160 --> 0:16:45.560
<v Speaker 1>don't blame him here. We are shoving a mic in

0:16:45.640 --> 0:16:48.640
<v Speaker 1>his face asking him to talk about gender and race

0:16:48.800 --> 0:16:51.840
<v Speaker 1>and all these other things that are so touchy. The

0:16:51.880 --> 0:16:54.400
<v Speaker 1>things going on in my mind are I need to

0:16:54.440 --> 0:16:56.600
<v Speaker 1>be careful about this. I know that people are going

0:16:56.640 --> 0:16:58.520
<v Speaker 1>to look at me and say, you're just some white

0:16:58.600 --> 0:17:01.680
<v Speaker 1>dude rattling off about diversity, but you have no idea

0:17:01.680 --> 0:17:05.760
<v Speaker 1>what you're talking about. That may be true. I may

0:17:05.760 --> 0:17:07.560
<v Speaker 1>not know what I'm talking about, but I want to

0:17:07.560 --> 0:17:11.119
<v Speaker 1>get that conversation going so that I can learn, so

0:17:11.119 --> 0:17:13.760
<v Speaker 1>that the rest of our team can learn, and so

0:17:13.800 --> 0:17:18.400
<v Speaker 1>that um we do better moving forward. We're basically just saying,

0:17:18.520 --> 0:17:21.600
<v Speaker 1>you know, Allen, I really can't remember the last time

0:17:21.640 --> 0:17:24.359
<v Speaker 1>I was this nervous trying to come up with the

0:17:24.400 --> 0:17:28.479
<v Speaker 1>most delicate way to pose these questions. Me too, and Aki.

0:17:28.960 --> 0:17:32.040
<v Speaker 1>You and I are both women of color, you're also gay.

0:17:32.080 --> 0:17:34.200
<v Speaker 1>It really makes you think back to every time you've

0:17:34.240 --> 0:17:38.160
<v Speaker 1>ever been offered a new job. Yeah, and I guess

0:17:38.240 --> 0:17:41.560
<v Speaker 1>until now this has all been theoretical. But when we

0:17:41.600 --> 0:17:44.040
<v Speaker 1>went in to interview the Penny team, they were in

0:17:44.080 --> 0:17:47.800
<v Speaker 1>the final stages with one candidate. They were talking to

0:17:47.840 --> 0:17:51.000
<v Speaker 1>a woman and she's of Indian descent. While we were

0:17:51.000 --> 0:17:53.399
<v Speaker 1>in the Penny office, we got the team altogether in

0:17:53.400 --> 0:17:56.240
<v Speaker 1>a room and asked them what they thought of her. Yeah,

0:17:56.280 --> 0:17:58.840
<v Speaker 1>they all thought she would work well with the team,

0:17:58.880 --> 0:18:03.080
<v Speaker 1>but she lacks some techical experience. Specifically, she wasn't fluent

0:18:03.240 --> 0:18:05.960
<v Speaker 1>in the main programming language that Penny is written in.

0:18:06.480 --> 0:18:08.840
<v Speaker 1>On top of that, the company was about to enter

0:18:08.960 --> 0:18:13.199
<v Speaker 1>a really busy period. Great culture fit. It's somebody that

0:18:13.240 --> 0:18:16.760
<v Speaker 1>we would all gladly have in the room working with us,

0:18:18.440 --> 0:18:21.639
<v Speaker 1>because she's articulate and well thought out, and it is

0:18:21.760 --> 0:18:24.760
<v Speaker 1>very responsive to feedback. How do you weigh that with

0:18:24.840 --> 0:18:28.560
<v Speaker 1>the fact that she has no experience shipping production Ruby code,

0:18:28.560 --> 0:18:32.280
<v Speaker 1>which is the language that we write in UM, but

0:18:32.400 --> 0:18:34.919
<v Speaker 1>seems to have the aptitude to pick that up quickly. Well,

0:18:36.600 --> 0:18:40.359
<v Speaker 1>the answer is we don't know, so ACKI. When we

0:18:40.560 --> 0:18:43.800
<v Speaker 1>visited Mention his team, everything that they were saying seemed

0:18:43.840 --> 0:18:46.800
<v Speaker 1>pretty reasonable to us. Yeah, I thought he was a

0:18:46.880 --> 0:18:51.280
<v Speaker 1>really thoughtful guy. I was just genuinely impressed. But we're

0:18:51.320 --> 0:18:55.200
<v Speaker 1>not experts on this either. So we outlined Mitch's philosophy

0:18:55.240 --> 0:18:59.000
<v Speaker 1>and tactics with my Von Hutchinson, a former labor lawyer

0:18:59.040 --> 0:19:01.840
<v Speaker 1>who is now a concip Bolton helping smaller startups on

0:19:01.920 --> 0:19:06.280
<v Speaker 1>diversity and inclusion. You get an A for enthusiasm. Mitch

0:19:08.320 --> 0:19:10.960
<v Speaker 1>for this letter grade, I would give him a beat. Um.

0:19:11.000 --> 0:19:14.920
<v Speaker 1>I think that he's doing some of the right things. Um,

0:19:14.920 --> 0:19:17.080
<v Speaker 1>he's taking a couple of risks, but he could take

0:19:17.119 --> 0:19:20.680
<v Speaker 1>bigger risks. I think that he could definitely educate theself

0:19:20.680 --> 0:19:22.960
<v Speaker 1>a little bit more. Just come through the resources and

0:19:22.960 --> 0:19:25.760
<v Speaker 1>see what's out there. My Van said that in the

0:19:25.840 --> 0:19:30.080
<v Speaker 1>long term, Penny should build relationships with organizations that are

0:19:30.200 --> 0:19:34.880
<v Speaker 1>trying to bring more underrepresented groups into tech host dinners

0:19:34.920 --> 0:19:38.080
<v Speaker 1>and meetups and that kind of thing. But she also

0:19:38.160 --> 0:19:42.160
<v Speaker 1>gave Mitch some practical advice for right now, like put

0:19:42.200 --> 0:19:45.359
<v Speaker 1>your pledge to diversity on your company's landing page, not

0:19:45.480 --> 0:19:48.800
<v Speaker 1>just on your job spage. Consider bringing in an expert

0:19:48.840 --> 0:19:51.200
<v Speaker 1>to help guide you instead of trying to figure it

0:19:51.240 --> 0:19:55.080
<v Speaker 1>out for yourself. And when you hire minority candidates, don't

0:19:55.160 --> 0:19:58.359
<v Speaker 1>expect them to do the work of recruiting diverse candidates

0:19:58.440 --> 0:20:02.280
<v Speaker 1>for you. I'm real happy there are guys out here

0:20:02.359 --> 0:20:06.720
<v Speaker 1>like Mitch. I think, Um, sometimes we see guys like

0:20:06.800 --> 0:20:09.760
<v Speaker 1>Mitch don't stay like Mitch for very long. I think

0:20:09.800 --> 0:20:11.959
<v Speaker 1>it's going to be in the next few years it's

0:20:11.960 --> 0:20:16.800
<v Speaker 1>going to be really hard to hold those values and

0:20:17.640 --> 0:20:20.520
<v Speaker 1>not to succumb to the temptations that are going to

0:20:20.600 --> 0:20:23.160
<v Speaker 1>be abound in the industry when it comes to making

0:20:23.160 --> 0:20:26.320
<v Speaker 1>the final call on who to hire. My Vaughan said,

0:20:26.440 --> 0:20:29.199
<v Speaker 1>Mitch is taking the right approach by focusing on the

0:20:29.240 --> 0:20:32.240
<v Speaker 1>different perspectives that a candidate would bring to Penny. I

0:20:32.240 --> 0:20:34.400
<v Speaker 1>don't think that you should hire someone just because they're

0:20:34.400 --> 0:20:37.399
<v Speaker 1>black or just because they're a woman. That will fill

0:20:37.400 --> 0:20:39.080
<v Speaker 1>a short term goal, but that's not going to pay

0:20:39.080 --> 0:20:41.280
<v Speaker 1>off in the long run. And I feel like so

0:20:41.359 --> 0:20:45.000
<v Speaker 1>often we we equate identity with experience and it's not

0:20:45.080 --> 0:20:48.399
<v Speaker 1>the same thing, although sometimes they're tied, right, So I

0:20:48.440 --> 0:20:51.040
<v Speaker 1>think if you can figure out a way to really

0:20:51.160 --> 0:20:54.440
<v Speaker 1>capture that, to capture the experience part of the identity

0:20:54.480 --> 0:20:57.200
<v Speaker 1>as opposed to just the identity in a vacuum, like

0:20:57.280 --> 0:20:59.639
<v Speaker 1>that's when you're kind of like more set up for

0:20:59.680 --> 0:21:05.160
<v Speaker 1>a six US, Which brings us to our climax. Did Mitch, Alexandrew,

0:21:05.200 --> 0:21:09.040
<v Speaker 1>and Jonathan hire the female programmer? We followed up with

0:21:09.080 --> 0:21:12.000
<v Speaker 1>them in late November, and even though they were approaching

0:21:12.040 --> 0:21:14.639
<v Speaker 1>a busy time, they decided to give her an offer.

0:21:15.280 --> 0:21:18.720
<v Speaker 1>Her name's Vertica Shrivastav, and we met her just a

0:21:18.720 --> 0:21:22.479
<v Speaker 1>few days after she accepted Penny's offer. She told us

0:21:22.480 --> 0:21:24.800
<v Speaker 1>that as she's met with all these different companies, she

0:21:24.920 --> 0:21:31.520
<v Speaker 1>knew she was likely going to be an outlier. I

0:21:31.560 --> 0:21:35.200
<v Speaker 1>made it a point to ask Um how many female

0:21:35.240 --> 0:21:39.320
<v Speaker 1>engineers they had, and after I started asking, I realized

0:21:39.320 --> 0:21:41.760
<v Speaker 1>it made people uncomfortable. I didn't mean I didn't mean

0:21:41.800 --> 0:21:44.480
<v Speaker 1>it as like a point of superiority. I just wanted

0:21:44.520 --> 0:21:47.040
<v Speaker 1>to know how many female engineers because it would affect

0:21:47.080 --> 0:21:51.800
<v Speaker 1>me as someone joining their team. And it made people uncomfortable. UM.

0:21:51.960 --> 0:21:54.040
<v Speaker 1>They kind of be like, you know, well we had

0:21:54.119 --> 0:21:59.919
<v Speaker 1>this engineer. She left UM, but she didn't sense that

0:22:00.040 --> 0:22:04.359
<v Speaker 1>same discomfort at Penny. I had asked him a question UM,

0:22:04.400 --> 0:22:07.359
<v Speaker 1>saying that companies always asked me why am I interested

0:22:07.400 --> 0:22:09.080
<v Speaker 1>in them? I think it's only fair for me to

0:22:09.119 --> 0:22:11.879
<v Speaker 1>ask UM, why are you interested in me? And I

0:22:12.000 --> 0:22:14.239
<v Speaker 1>like that They didn't like tiptoe around the fact that

0:22:14.280 --> 0:22:17.600
<v Speaker 1>I'm a female engineer. They're like, diversity is something that's

0:22:17.600 --> 0:22:21.320
<v Speaker 1>really important to us, and you're clearly different because you're female,

0:22:21.359 --> 0:22:23.520
<v Speaker 1>and then also listed like other things that were a

0:22:23.520 --> 0:22:27.040
<v Speaker 1>little different about me than I guess the average software engineer.

0:22:27.440 --> 0:22:29.240
<v Speaker 1>So like that. They're honest about that, and they're not

0:22:29.280 --> 0:22:31.879
<v Speaker 1>trying to just because I'm a girl got out of

0:22:31.880 --> 0:22:34.560
<v Speaker 1>the team, like they saw something more in me other

0:22:34.600 --> 0:22:42.040
<v Speaker 1>than just that I'm a female. Fortica starts this week,

0:22:42.320 --> 0:22:46.719
<v Speaker 1>but Mitch's work isn't over. Wi Bond, the diversity consultant,

0:22:46.880 --> 0:22:48.800
<v Speaker 1>told us that it's not going to be enough to

0:22:48.920 --> 0:22:52.960
<v Speaker 1>just hire candidates with minority backgrounds. The hardest part is

0:22:53.000 --> 0:22:55.440
<v Speaker 1>making sure that the new hire feels like a real

0:22:55.680 --> 0:22:59.040
<v Speaker 1>and necessary part of a team with challenging work, but

0:22:59.119 --> 0:23:02.440
<v Speaker 1>also the right amount of support. It's a difficult balance,

0:23:03.520 --> 0:23:06.439
<v Speaker 1>Mitch just success in the long term ultimately depends on

0:23:06.480 --> 0:23:10.640
<v Speaker 1>whether Vertica stays and thrives at Penny and down the road,

0:23:10.840 --> 0:23:13.600
<v Speaker 1>whether the different people Mitch keeps hiring will make the

0:23:13.600 --> 0:23:17.600
<v Speaker 1>app more useful and enjoyable to everyone, not just people

0:23:17.680 --> 0:23:40.480
<v Speaker 1>in the Silicon Valley bubble. Okay, silent, it is June

0:23:41.280 --> 0:23:45.520
<v Speaker 1>now because birth con. She's been good. She's still at Penny.

0:23:45.720 --> 0:23:49.080
<v Speaker 1>I talked to her and Mitch this week and asked her,

0:23:49.760 --> 0:23:52.880
<v Speaker 1>you know, what her experience was like, and I was surprised.

0:23:52.880 --> 0:23:55.840
<v Speaker 1>She told me, you know, the first um part of

0:23:55.840 --> 0:23:59.320
<v Speaker 1>her time there, she felt actually pretty uncomfortable, pretty because

0:23:59.320 --> 0:24:02.000
<v Speaker 1>she was the only woman there. Yeah, and I think

0:24:02.040 --> 0:24:05.199
<v Speaker 1>because her engineering background was different. I think she just

0:24:05.560 --> 0:24:08.560
<v Speaker 1>you know, she didn't have a background in fintech. Uh.

0:24:08.560 --> 0:24:10.600
<v Speaker 1>But she told me she was really touched by how

0:24:10.680 --> 0:24:13.760
<v Speaker 1>much the company really tried to make sure she understood

0:24:13.800 --> 0:24:16.040
<v Speaker 1>they felt she belonged with them, she was part of

0:24:16.080 --> 0:24:18.919
<v Speaker 1>the team, that kind of thing. So, you know, for example,

0:24:18.920 --> 0:24:21.800
<v Speaker 1>they eat lunch together every day, and she said that

0:24:22.160 --> 0:24:25.320
<v Speaker 1>even though the conversation could sometimes move to topics that

0:24:25.359 --> 0:24:28.720
<v Speaker 1>she wasn't that interested in, she noticed that at different points,

0:24:28.800 --> 0:24:31.720
<v Speaker 1>you know, different coworkers of hers would notice and try

0:24:31.800 --> 0:24:34.480
<v Speaker 1>to move the conversation back to something that we could

0:24:34.480 --> 0:24:36.960
<v Speaker 1>that they could all participate in. So they made a

0:24:37.000 --> 0:24:39.840
<v Speaker 1>real effort. Yeah, and she felt like, you know, they

0:24:39.880 --> 0:24:41.920
<v Speaker 1>were the ones who were really pushing the message like, yes,

0:24:42.000 --> 0:24:44.240
<v Speaker 1>you're part of the team. And if anything, she said,

0:24:44.240 --> 0:24:46.359
<v Speaker 1>she was the one who was nervous about it or

0:24:46.480 --> 0:24:48.760
<v Speaker 1>or unsure that that was that that was the correct

0:24:48.760 --> 0:24:52.400
<v Speaker 1>thing to do. And she also said, you know, Mitch

0:24:52.440 --> 0:24:55.040
<v Speaker 1>made some changes to his leadership style to accommodate her

0:24:55.080 --> 0:24:57.360
<v Speaker 1>as well, Like she had told him at one point

0:24:57.400 --> 0:25:00.200
<v Speaker 1>a few months in that you know, he's really excitable.

0:25:00.240 --> 0:25:02.600
<v Speaker 1>He really he talks fast and things out loud. He

0:25:02.680 --> 0:25:05.600
<v Speaker 1>was really outgoing. Yeah, and she said he you know,

0:25:05.680 --> 0:25:07.920
<v Speaker 1>she told him at one point, you know, when people

0:25:07.960 --> 0:25:10.680
<v Speaker 1>speak loudly, it makes me feel like there's not enough

0:25:10.680 --> 0:25:12.919
<v Speaker 1>space for me to give my ideas, or it makes me,

0:25:13.119 --> 0:25:15.919
<v Speaker 1>you know, sort of pull back. And she said she

0:25:16.000 --> 0:25:20.400
<v Speaker 1>noticed Mitch tried really hard to speak more softly when

0:25:20.400 --> 0:25:22.920
<v Speaker 1>he was talking with her, and even though she was

0:25:22.960 --> 0:25:25.200
<v Speaker 1>a little embarrassed that that change had to be made

0:25:25.200 --> 0:25:28.120
<v Speaker 1>and had to be asked for, she was grateful that

0:25:28.200 --> 0:25:30.760
<v Speaker 1>it was something that people really put effort into changing

0:25:30.800 --> 0:25:33.080
<v Speaker 1>so that she could work there as well as everyone else.

0:25:34.280 --> 0:25:36.400
<v Speaker 1>One of the things that Mitch talked about in our

0:25:36.440 --> 0:25:40.160
<v Speaker 1>original episode was that hiring for diversity is not just

0:25:40.320 --> 0:25:43.320
<v Speaker 1>the morally right thing to do, it's also a good

0:25:43.359 --> 0:25:48.560
<v Speaker 1>business decision. And I'm wondering if hiring Vertica was a

0:25:48.600 --> 0:25:52.119
<v Speaker 1>good ended up being a good business decision for him.

0:25:52.160 --> 0:25:56.040
<v Speaker 1>I think he would agree, He said, for example, you know,

0:25:56.160 --> 0:25:59.000
<v Speaker 1>she would have prospective and ideas that he would have

0:25:59.080 --> 0:26:01.639
<v Speaker 1>never come up with him self. So he cited this

0:26:01.720 --> 0:26:06.120
<v Speaker 1>time when they were talking about checking accounts and saving accounts,

0:26:06.160 --> 0:26:08.560
<v Speaker 1>and he and the other guys had sort of assumed

0:26:08.680 --> 0:26:12.200
<v Speaker 1>most people knew the difference between these two Rota chimed

0:26:12.240 --> 0:26:14.480
<v Speaker 1>in and said, you know, actually I only recently learned

0:26:14.480 --> 0:26:17.639
<v Speaker 1>the difference between these accounts. Maybe we should include an

0:26:17.640 --> 0:26:21.520
<v Speaker 1>explanation for our users, and they did, and um, a

0:26:21.520 --> 0:26:24.280
<v Speaker 1>lot of users clicked on, you know, wanting to know more.

0:26:24.400 --> 0:26:27.159
<v Speaker 1>And so he was shown, you know, her perspective was

0:26:27.160 --> 0:26:30.359
<v Speaker 1>actually correct. They had made an assumption about their users

0:26:30.359 --> 0:26:32.880
<v Speaker 1>that turned out not to be so true. And so

0:26:33.040 --> 0:26:36.040
<v Speaker 1>I think he was really grateful that having people just

0:26:36.080 --> 0:26:38.920
<v Speaker 1>with a different background, a different experience, which show small

0:26:38.960 --> 0:26:40.919
<v Speaker 1>things like that that could still be really important to

0:26:40.920 --> 0:26:44.119
<v Speaker 1>how someone uses their product. It's been a year and

0:26:44.160 --> 0:26:47.239
<v Speaker 1>a half since we first aired that episode, and a

0:26:47.320 --> 0:26:50.200
<v Speaker 1>lot has happened since then in Silicon Valley and also

0:26:50.280 --> 0:26:53.359
<v Speaker 1>other industries too, about the way we think about women

0:26:53.359 --> 0:26:56.960
<v Speaker 1>in the workplace. I'm wondering if he sensed if Mitch

0:26:57.040 --> 0:27:00.480
<v Speaker 1>had changed his thinking at all about the way he

0:27:00.600 --> 0:27:05.159
<v Speaker 1>thinks about diversity. I think he probably stands in about

0:27:05.200 --> 0:27:08.399
<v Speaker 1>the same position. You know, he's pretty committed to the

0:27:08.440 --> 0:27:11.000
<v Speaker 1>ways that he views it. I think it's, you know,

0:27:11.280 --> 0:27:13.960
<v Speaker 1>speaking as a reporter, it's been interesting to view how

0:27:14.040 --> 0:27:17.359
<v Speaker 1>both you know, the me too conversation has led us

0:27:17.400 --> 0:27:20.520
<v Speaker 1>to hear a lot more stories about how harassment in

0:27:20.560 --> 0:27:23.800
<v Speaker 1>the workplace holds women back or affects the workplace dynamics.

0:27:24.359 --> 0:27:26.960
<v Speaker 1>And then we also I think I've been getting more

0:27:27.040 --> 0:27:31.199
<v Speaker 1>people speaking up on the other side, white men who

0:27:31.280 --> 0:27:34.359
<v Speaker 1>say that they are starting to be discriminated against by

0:27:34.400 --> 0:27:38.440
<v Speaker 1>over zealous diversity efforts, like the former Google engineer. Yeah,

0:27:38.560 --> 0:27:40.680
<v Speaker 1>James damm or Is is really sort of a big

0:27:40.720 --> 0:27:43.600
<v Speaker 1>player in this. And it's just been kind of crazy

0:27:43.600 --> 0:27:46.760
<v Speaker 1>to watch these two conversations come out at once and

0:27:46.760 --> 0:27:48.280
<v Speaker 1>and see how those are playing out. So I think

0:27:48.280 --> 0:27:51.320
<v Speaker 1>if you're a CEO today, you're weighing a lot of

0:27:51.359 --> 0:27:54.399
<v Speaker 1>different questions about how to approach diversity and inclusion at

0:27:54.440 --> 0:27:57.680
<v Speaker 1>your company. So do you think there's anything that those

0:27:57.680 --> 0:28:01.479
<v Speaker 1>CEOs can learn from a dis experience. I think just

0:28:01.600 --> 0:28:04.680
<v Speaker 1>that diversity and inclusion is a lot of work. Uh,

0:28:04.960 --> 0:28:06.760
<v Speaker 1>Mitch put in a lot of work to hire EVERTHCA

0:28:07.280 --> 0:28:09.159
<v Speaker 1>and a lot of work afterward to make sure she

0:28:09.240 --> 0:28:14.000
<v Speaker 1>felt comfortable and included. He told me that he feels

0:28:14.000 --> 0:28:16.639
<v Speaker 1>like it would have saved him time, you know, if

0:28:16.640 --> 0:28:18.639
<v Speaker 1>he was doing more hiring in the future, now that

0:28:18.720 --> 0:28:20.879
<v Speaker 1>they have a better idea of this process, now that

0:28:20.920 --> 0:28:23.320
<v Speaker 1>there already is a woman at the company. Yeah, and

0:28:23.320 --> 0:28:25.520
<v Speaker 1>that they know, you know, they've made some changes to

0:28:25.560 --> 0:28:29.440
<v Speaker 1>their process to help make it more accessible to different groups. Uh.

0:28:29.440 --> 0:28:33.240
<v Speaker 1>But Penny was actually acquired in March by Credit Karma,

0:28:33.440 --> 0:28:38.160
<v Speaker 1>so they won't be doing that same kind of hiring anymore. Uh. Yeah,

0:28:38.240 --> 0:28:41.160
<v Speaker 1>the whole team went over to start working at Credit Karma,

0:28:41.480 --> 0:28:45.320
<v Speaker 1>including Brethica, including birtha um and so now they're developing

0:28:45.760 --> 0:28:48.120
<v Speaker 1>a chat functionality for Credit Karma, which is a much

0:28:48.120 --> 0:28:50.120
<v Speaker 1>bigger company. So he's in a little bit of a

0:28:50.160 --> 0:28:53.160
<v Speaker 1>different position now he's not CEO of his own company.

0:28:53.200 --> 0:28:56.560
<v Speaker 1>But I think he definitely feels like the effort he

0:28:56.640 --> 0:29:00.400
<v Speaker 1>put in for that first hiring process is something that

0:29:00.440 --> 0:29:02.200
<v Speaker 1>he would have been able to reuse if he'd been

0:29:02.200 --> 0:29:04.400
<v Speaker 1>doing it again in the future. Well, best of luck

0:29:04.440 --> 0:29:07.400
<v Speaker 1>to Mention and his team, and thanks for that update. Ellen. Yeah,

0:29:07.520 --> 0:29:18.560
<v Speaker 1>you're welcome, and that's it for this week's episode of Decrypted.

0:29:18.720 --> 0:29:22.120
<v Speaker 1>Thanks for listening. Do you have a story about diversity

0:29:22.120 --> 0:29:24.920
<v Speaker 1>in Silicon Valley? You can send us a message at

0:29:25.040 --> 0:29:28.640
<v Speaker 1>Decrypted at Bloomberg dot net or I'm on Twitter at

0:29:28.720 --> 0:29:31.840
<v Speaker 1>Ellen Hewitt and I'm at aki Eto seven. If you

0:29:31.920 --> 0:29:35.240
<v Speaker 1>enjoy listening to Decrypted, please recommend us to your friends,

0:29:35.600 --> 0:29:37.480
<v Speaker 1>and if you have it already, take a moment to

0:29:37.520 --> 0:29:40.440
<v Speaker 1>write and review our show. This really helps us find

0:29:40.440 --> 0:29:44.440
<v Speaker 1>new listeners. The original episode was produced by Pia get Cary,

0:29:44.720 --> 0:29:48.400
<v Speaker 1>Liz Smith and Magnus Hendrickson. And thanks to topor Foreheads

0:29:48.480 --> 0:29:51.680
<v Speaker 1>for his help on this update. Francesco Leavie is the

0:29:51.680 --> 0:30:04.520
<v Speaker 1>head of Bloomberg Podcasts. We'll see you next week. Table

0:30:04.720 --> 0:30:11.680
<v Speaker 1>of the Abacus Robert, the last of Man of Ragus