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Speaker 1: When you're a real estate company, you have to be

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Speaker 1: aware of the history of real estate, which has, you know,

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Speaker 1: in some cases, been reprehensible. You have things like redlining,

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Speaker 1: where you couldn't get a mortgage in neighborhoods that were

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Speaker 1: deemed unsafe, which was kind of a code for being

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Speaker 1: not white. It wasn't where white people live. And there's

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Speaker 1: neighborhood segregation, a lot of other things that have happened

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Speaker 1: in real estate, and so you need to build a

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Speaker 1: team that, in my view, reflects America, reflects the people

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Speaker 1: that you're trying to serve. Welcome to the restless ones.

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Speaker 1: I'm Jonathan Strickland. I've spent more than a decade really

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Speaker 1: learning about technology, what makes it take and then describing

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Speaker 1: and explaining that to my audience. But it's the conversations

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Speaker 1: with the world's most unconventional thinkers, the leaders at the

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Speaker 1: intersection of technology and business that fascinated me the most.

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Speaker 1: In partnership with T Mobile for Business, I explore the

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Speaker 1: unique set of challenges that see I O S and

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Speaker 1: c t o S face from at aansmans in cloud

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Speaker 1: and edge computing, software as a service, Internet of Things,

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Speaker 1: and of course five G WE are often left wondering

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Speaker 1: how the leading minds and business continue to thrive. Let's

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Speaker 1: find out. Our guest today is Bridget Fried, Chief Technology

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Speaker 1: Officer of red finn As red Fin's ct O, Bridget

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Speaker 1: overseas technology integrations that aimed to make the entire process

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Speaker 1: of buying, selling, or renting a home as seamless as possible.

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Speaker 1: At the same time, she works hard to improve diversity

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Speaker 1: and inclusion on her team, opening up new opportunities for

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Speaker 1: organizational success. I started off getting a bit more background

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Speaker 1: on Bridget and how she came to love the field

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Speaker 1: of tech and data analysis. Bridget, thank you so much

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Speaker 1: for joining us on the Restless Ones. I am very

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Speaker 1: pleased to have you here as my guest. Thanks for

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Speaker 1: having me. It's so exciting to be here. And uh,

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Speaker 1: I love to start off these conversations by learning a

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Speaker 1: little bit more about the people I'm speaking with. And

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Speaker 1: so I'm very curious, what was it that sparked your

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Speaker 1: love of technology? Was it an Apple computer? It was

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Speaker 1: you might you might know that story a little bit

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Speaker 1: about it. So, my dad is an appliance sales and

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Speaker 1: repairment and when I was five, he showed up at

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Speaker 1: her house with this big box and he put it

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Speaker 1: in the kitchen and inside was an Apple. To me,

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Speaker 1: this early Apple computer, and to him it was really

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Speaker 1: just like a dishwasher, where you get the manual and

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Speaker 1: you read the instructions and you figure out how to

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Speaker 1: use it. And so my earliest experiences with technology and

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Speaker 1: computers was just learning to code with my dad. That's fantastic. Yeah,

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Speaker 1: I also was teethed on an Apple to myself. Yep.

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Speaker 1: So I remember the Hello World and you know ten

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Speaker 1: print exactly. Yea, is it is kind of applicated since then? Yeah? Yeah, once,

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Speaker 1: once I got beyond the basic programming language, things got

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Speaker 1: out of my wheelhouse pretty quickly. But from what I understand,

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Speaker 1: you really went down that pathway wholeheartedly. You know, your

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Speaker 1: love was sparked early on. But when did you decide

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Speaker 1: that this is something I actually want to study? Yeah?

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Speaker 1: I think by the time I got to high school.

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Speaker 1: I actually was really fortunate that we had a computer

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Speaker 1: science class and a club that we're operating in my

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Speaker 1: high school. Now it's maybe more common, but I also

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Speaker 1: had a female computer science teacher who was really inspirational

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Speaker 1: to me, and so I think that those experiences helped

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Speaker 1: to make me feel like I belonged in the tech

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Speaker 1: industry at these formative years. And I also, you know,

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Speaker 1: I was I loved the idea of using algorithms and

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Speaker 1: technology to solve problems, and so those things really crystallized

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Speaker 1: for me by the time I was done with high school.

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Speaker 1: I'm already fascinated by this story because we've heard the

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Speaker 1: opposite so many times in the tech industry in general, right,

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Speaker 1: that it tends to be an industry that sometimes on

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Speaker 1: a good day you could call unwelcoming two women in

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Speaker 1: the field and to hear that you had the exact

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Speaker 1: opposite experience, and that's what inspired you, and now you're

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Speaker 1: carrying that forward as a leader. So what was your

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Speaker 1: experience like once you went to Harvard? Did you find

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Speaker 1: that environment really welcoming as well? So it was lonelier

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Speaker 1: when I got to Harvard in a way that maybe

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Speaker 1: I should have known, I didn't quite expect. That was

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Speaker 1: when I started to feel more like the only or

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Speaker 1: the few in the computer science classes. So there was

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Speaker 1: really only a handful of women who were in my

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Speaker 1: year major computer science. And so I did, though find

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Speaker 1: again a professor, female professor who her name is Margot Seltzer,

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Speaker 1: and she was also an inspiration to me. Um, she

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Speaker 1: was actually not only teaching and going for tenure, but

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Speaker 1: she was she found it a startup, and she was

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Speaker 1: also had a baby while I was at Harvard, and yeah,

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Speaker 1: she still found time to spend with me and to

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Speaker 1: mentor me and to help me through my career. And

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Speaker 1: so it was this example to me of someone who

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Speaker 1: somehow is really busy but still makes time to help others. Phenomenal.

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Speaker 1: I mean, that's an overachiever and a half to be

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Speaker 1: a professor, an entrepreneur, a mother, and a mentor. I'm

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Speaker 1: getting a feeling a sense of what has shaped your

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Speaker 1: philosophy because as I've read about you uh and your initiatives,

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Speaker 1: it really was one of those things where I thought, like, wow,

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Speaker 1: this is this is a truly remarkable person. So hearing

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Speaker 1: about these stories, I think I'm starting to get a

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Speaker 1: picture of how that all kind of coalesced. Yeah, I

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Speaker 1: think once I got later and I was trying to see,

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Speaker 1: you know what inspired me, and I realized at some

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Speaker 1: point in my career, oh, there are a lot of

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Speaker 1: people out there who are looking to form their careers

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Speaker 1: who are early like I used to be, and they're

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Speaker 1: looking for examples that you know, maybe maybe like me.

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Speaker 1: How how did I do this? How did I navigate

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Speaker 1: this field? And it kind of pushed me out to

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Speaker 1: get out there a little bit more and to try

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Speaker 1: to find ways to help people who were like me

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Speaker 1: a few years ago. M hmm. What was your first

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Speaker 1: job in the tech field. Yeah, so my my first

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Speaker 1: job was at a company called Plumptree Software and they

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Speaker 1: did uh it was called corporate portals. It's basically like

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Speaker 1: an intranet that every company has now where you can

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Speaker 1: connect to all your HR systems and all these things.

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Speaker 1: But back then it was this revolutionary idea and and

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Speaker 1: so I love this idea that I could go in

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Speaker 1: and work on business software and find ways to make

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Speaker 1: a company work better through the work that I did.

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Speaker 1: And that company was founded by Glenn Kellman, who's actually

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Speaker 1: the CEO of Redfin where I work now, and so

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Speaker 1: he was someone that I ultimately followed to to the

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Speaker 1: place where I am. So I'm just curious, So, in

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Speaker 1: your role working on that sort of corporate intranet portal,

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Speaker 1: were you looking at all different elements of it where

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Speaker 1: you specifically focused on user interface what were you really

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Speaker 1: concentrating on. Yeah, so I came in working on kind

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Speaker 1: of back end systems, and about a year in they

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Speaker 1: somehow made me responsible for security. And you know, I

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Speaker 1: was acure out of college. I guess I had a

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Speaker 1: little dea what I was doing, but you know, security,

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Speaker 1: and so I was tasked with figuring out how would

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Speaker 1: people log in and access the system? How would we

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Speaker 1: authenticate and authorize permissions? And that was a really harrowing

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Speaker 1: experience try to figure out how to architect that in

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Speaker 1: a way that's scaled and was secure. And so that

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Speaker 1: helped to cement my love of back end systems. I

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Speaker 1: kind of come from a data engineering, machine learning type

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Speaker 1: of background. Those are the problems that I've most most

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Speaker 1: worked on. Yeah, talk about being thrown into the deep end.

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Speaker 1: I love it. So, so when did you join Redfin

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Speaker 1: and in what capacity were you working there when you

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Speaker 1: first started. Yeah, so I joined about ten years ago

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Speaker 1: and I joined to found our analytics engineering team, which

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Speaker 1: was the first team to bring big data and machine

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Speaker 1: learning into Redfin. And I looked at it as this

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Speaker 1: gold mine opportunity. There is so much data in real estate,

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Speaker 1: and Redfin has this really unique data set where not

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Speaker 1: only do we have the number one brokerage website in

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Speaker 1: United States, we know what people are searching for, we

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Speaker 1: know what they're clicking on. But we're a national real privilege,

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Speaker 1: so we know when people make offers, when they go

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Speaker 1: on tours. And just look at this unique data set

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Speaker 1: that no one else has, you should be able to

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Speaker 1: make machine learning algorithms that no one else can dream

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Speaker 1: of that are more accurate and really help people figure

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Speaker 1: out how to navigate real estate. So that was this

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Speaker 1: big greenfield opportunity, and ten years later, there's still all

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Speaker 1: kinds of things we're working on, and it's it's fascinating

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Speaker 1: because about ten years ago was when I think outside

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Speaker 1: of the actual text sphere, people first started hearing about

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Speaker 1: the term big data. Yes, and I think actually within

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Speaker 1: the industry there were tons of people who weren't really

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Speaker 1: sure what the actual meaning behind big data was, and

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Speaker 1: that's when we saw this explosion in creativity and innovation

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Speaker 1: in how to take that information, derive meaning from it,

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Speaker 1: and then project things from that. So it sounds to

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Speaker 1: me like you were right there on the ground floor

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Speaker 1: when that was when that was happening. Yeah, absolutely, And

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Speaker 1: I think kind of being skeptical of you know, when

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Speaker 1: do you really need a big data solution and when

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Speaker 1: can your data just fit in a database? You know,

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Speaker 1: you have to kind of understand that as an engineer.

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Speaker 1: And actually, as the years have gone on, I mean,

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Speaker 1: the support that's out there for big data, the algorithms

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Speaker 1: that are available off the shelf through technologies like Amazon

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Speaker 1: Web Services, all those things who have gotten so much

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Speaker 1: more available. You know, there are there are algorithms that

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Speaker 1: are running now that would have been cost prohibitive just

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Speaker 1: a couple of years ago, and we didn't have the

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Speaker 1: cloud and we didn't have some of these off the

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Speaker 1: shelf services. So that's that's created this opportunity for many

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Speaker 1: more engineers to work at that kind of scale. So

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Speaker 1: it's one of the common themes I've found as I've

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Speaker 1: taught the different leaders, is that identifying what's the outcome

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Speaker 1: you want and then determining how do you achieve that outcome,

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Speaker 1: whether it's a technological solution or otherwise. Yeah, you have

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Speaker 1: to decide when you really want to be on the

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Speaker 1: cutting edge of technology, because I think as you get experience,

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Speaker 1: you realize being on the cutting edge, being the first

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Speaker 1: company to try a new technology. It's not always that sweet.

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Speaker 1: I mean that's when there's things are untested, they don't

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Speaker 1: work at scale, there are more bugs, and there are

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Speaker 1: sometimes some more boring or prosaic solutions to the problem

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Speaker 1: that you have. So I think that as an architect,

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Speaker 1: as an architect develops, you really start to get a

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Speaker 1: better sense for when to use the tried and true

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Speaker 1: and when to really go out on a limb and

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Speaker 1: try something that's new. That's an excellent point to what

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Speaker 1: was your journey to the role of CTO. Yeah, so

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Speaker 1: a couple of times in my career, I have moved

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Speaker 1: between a number of different roles. So I've been a

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Speaker 1: software developer than a manager, than a program manager, product

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Speaker 1: management director. Like, I've kind of moved between the roles,

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Speaker 1: and each time I moved between them, I feel like

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Speaker 1: it gave me empathy for what others were going through.

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Speaker 1: So when I became a manager, I realized, oh, this

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Speaker 1: is why, you know, my manager used to want me

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Speaker 1: as a developer to really keep track of my work

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Speaker 1: and estimate how long it was going to take and

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Speaker 1: write down all the bugs. And so I think it

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Speaker 1: gave me a bunch of empathy but I kept being

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Speaker 1: pulled to those experiences with my dad where I could

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Speaker 1: get my hands dirty and really build things myself. And

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Speaker 1: so every time I went to that kind of building role,

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Speaker 1: I would find that the people around you would say, hey,

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Speaker 1: you know, could you just leave this one project or

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Speaker 1: this team doesn't have a manager for a couple of months,

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Speaker 1: could you just kind of step in? And I kept

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Speaker 1: eventually I just, I guess, went with it. And so

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Speaker 1: now I'm pretty solidly that's sport of a role, but

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Speaker 1: sometimes still like to whiteboard things with the engineers. Well,

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Speaker 1: I like that the sirens call of executive leadership was

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Speaker 1: impossible to resist exactly, But also it's it's incredibly valuable

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Speaker 1: to have that experience where you have worked in a

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Speaker 1: fair broad spectrum of the different roles, so that you

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Speaker 1: do have that understanding of what are the demands of

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Speaker 1: that position, where are the pain points you've lived that,

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Speaker 1: so that you have a better understanding how to communicate,

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Speaker 1: I would hope. So, yeah, I think that when you

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Speaker 1: can walk in someone's shoes, you just get a better

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Speaker 1: sense for what they're going through, right, And as you

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Speaker 1: point out empathy is a huge part of that too.

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Speaker 1: If you don't have that empathy, you don't care, then

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Speaker 1: you're really never going to have a team that works

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Speaker 1: as optimally as you would like. I wanted to learn

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Speaker 1: more about Bridget's approach to leadership, including how she approaches

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Speaker 1: fostering new leaders and improving team diversity. So first let's

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Speaker 1: get a little bit more of an understanding of the

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Speaker 1: parameters we're talking about her. What's the size of your

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Speaker 1: team at redfin Yeah, so my team is about three

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Speaker 1: fifty people right now, and it's everything from engineering, analytics, operations, quality,

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Speaker 1: So you know there's a you know, growing team that

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Speaker 1: is trying to make sure we're building the right software

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Speaker 1: for people who are trying to buy and sell homes

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Speaker 1: and then for our real estate agents who need to

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Speaker 1: help them with getting into the best home for them. Mmmm.

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Speaker 1: So if you were to define what your primary responsibilities

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Speaker 1: as c t O or how do you frame that?

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Speaker 1: So sometimes I think of it like I have two

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Speaker 1: jobs almost where one is to be a leader of

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Speaker 1: the engineering team and to set our architecture vision and

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Speaker 1: how are we gonna make techno goal decisions? How are

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Speaker 1: we going to grow the team. But then my other

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Speaker 1: job is as a member of the executive team, where

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Speaker 1: we're really trying to look at the whole strategy for

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Speaker 1: Redfinn as a business, and you know, how how is

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Speaker 1: engineering serving those other executives? But also you know, how

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Speaker 1: are we going to talk to our investors about the vision?

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Speaker 1: How are we going to choose where to grow the

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Speaker 1: company from a business perspective. So they're kind of two

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Speaker 1: different roles, and you kind of have to tell tell yourself, Okay,

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Speaker 1: now I'm in the role of engineering leader and now

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Speaker 1: I'm acting as an executive and be able to go

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Speaker 1: back and forth when we're in a world where we

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Speaker 1: can have casual cocktail parties again and someone turns to

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Speaker 1: you and said, and so, what do you do for

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Speaker 1: a living? Is that sort of the answer you give

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Speaker 1: or do you have like the elevator pitch version. That's

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Speaker 1: kind of what I say. I mean, every day is

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Speaker 1: really different, I think when you work in an executive role.

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Speaker 1: So sometimes people say, you know, what's a typical day like,

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Speaker 1: and it's so hard to answer that. At this point,

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Speaker 1: I think, you know, I have to I have to

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Speaker 1: be able to figure out what red Finn needs for me,

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Speaker 1: what the team needs for me at any given day,

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Speaker 1: and really try to reslessly prioritize so I'm helping people

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Speaker 1: to do their best work. We had such a monumentally

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Speaker 1: disruptive year in twenty twenty kount of curiosity, How did

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Speaker 1: the pandemic affect your role in process at redfin in

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Speaker 1: what ways did you have to pivot or adapt? Yeah,

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Speaker 1: it almost felt like we were kind of replanning our

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Speaker 1: strategy every couple of weeks for a while there. So

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Speaker 1: at the beginning of the pandemic, you know, we saw

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Speaker 1: demand really dropped where it didn't look like people were

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Speaker 1: interested in buying and selling homes for a period of time,

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Speaker 1: and it got to the point where we actually had

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Speaker 1: to furlough a significant chunk of our real estate agents

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Speaker 1: and do a small layoff it. We took pay cuts

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Speaker 1: at headquarters. It was very painful to go through that.

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Speaker 1: We hadn't really lived through something like that before. But

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Speaker 1: then within a few weeks, all of a sudden, there

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Speaker 1: were all kinds of people who wanted to move. I

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Speaker 1: think looking at this opportunity for remote work as a

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Speaker 1: chance to reset. So we've seen, you know, the interest

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Speaker 1: in places like Boise and Bend has doubled since the

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Speaker 1: pandemic started, so we have a lot more people looking

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Speaker 1: to move to those areas. About of people on our

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Speaker 1: side are looking to move to another area, and so

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Speaker 1: we had to figure out, all right, well, how do

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Speaker 1: we help these people do this? And we how to

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Speaker 1: almost overnight switched to being a fully virtual brokerage. And

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Speaker 1: that's something we've been working on for a long time.

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Speaker 1: How do you virtualize parts of real estate? You know,

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Speaker 1: we have three D walkthroughs so you can walk through

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Speaker 1: a home online. We have a direct access where you

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Speaker 1: can put a smart walk on a house and click

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Speaker 1: a button on your phone and get into a home,

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Speaker 1: and all these kind of ways of virtualizing the experience.

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Speaker 1: But we had to almost overnight switch our entire business

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Speaker 1: to that. It was like the future came early, and

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Speaker 1: so that was a huge pivot for the team. As

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Speaker 1: the saying goes, necessity is the mother of invention. There's

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Speaker 1: nothing like a global pandemic to really kick things into

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Speaker 1: high gear when it comes to figuring out how to

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Speaker 1: respond to that so that you can meet the needs

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Speaker 1: and expectations of your customers and have the most minimal

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Speaker 1: impact on business and same time, so pretty phenomenal. So

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Speaker 1: if there's one thing most businesses can agree on these days,

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Speaker 1: it's that change has never come about so quickly. New

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Speaker 1: ways of working have become the norm. As a result,

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Speaker 1: the status quo no longer cuts it when it comes

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Speaker 1: to helping businesses adapt and innovate. That's why T Mobile

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Speaker 1: for Business uses unconventional thinking to help businesses work smarter

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Speaker 1: and grow faster. Only T Mobile offers America's largest and

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Speaker 1: fastest five gene network. It's just one reason they're better

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Speaker 1: able to help businesses solve the real world challenges they

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Speaker 1: face as they evolve. For instance, their new WFX solutions

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Speaker 1: help team members stay connected and productive where work happens.

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Speaker 1: With nearly two and a half times the network coverage

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Speaker 1: of A T and T nearly four times more than Verizon,

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Speaker 1: and forty billion dollars invested in network and business improvements

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Speaker 1: over the next three years, T Mobile for Business is

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Speaker 1: better for your business right now and into the future.

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Speaker 1: See what they can do for your organization at T

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Speaker 1: mobile dot com. Slash Unconventional Open Signal awarded T mobile

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Speaker 1: fastest five G network based on average speeds USA five

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Speaker 1: G user experience report January. Capable device required converts not

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Speaker 1: available in some areas. Some users may require certain plann

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Speaker 1: or feature see T mobile dot com. And you're known

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Speaker 1: specifically for for working to kind of break down the

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Speaker 1: barriers for women who are trying to enter into technical fields.

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Speaker 1: So how do you define your sort of philosophy and

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Speaker 1: approach to that. Yeah, when I when I joined Redfind

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Speaker 1: ten years ago, I was the only woman on the

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Speaker 1: Seattle engineering team and today we're thirty six percent women,

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Speaker 1: were ten percent black or Latinos on our tech team,

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Speaker 1: and so you know, the numbers don't reflect America yet,

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Speaker 1: but they're they're moving in the right direction. And I

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Speaker 1: think that in order to get there, we have had

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Speaker 1: to look at every part of how we recruit, how

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Speaker 1: we onboard, how we bring people into the organization, how

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Speaker 1: we promote, how we pay. It's I've almost thought of

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Speaker 1: myself as a diversity mechanic, where you're kind of, you know,

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Speaker 1: looking at all the little parts of the system and

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Speaker 1: just tweaking one little thing and seeing if it will

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Speaker 1: unlock some potential in your team. And you have to

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Speaker 1: rejoice when you get one little thing working, even though

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Speaker 1: you're all all kinds of things have to happen in

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Speaker 1: order to build a diverse and inclusive team, but you

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Speaker 1: have to celebrate the winds along the way. Well, and

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Speaker 1: can you kind of put into words what you find,

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Speaker 1: what value you find in increasing diversity. Yeah, I mean

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Speaker 1: we're a real estate business, right, and so when you're

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Speaker 1: a real estate company, you have to be aware of

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Speaker 1: the history of real estate, which has, you know, in

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Speaker 1: some cases, been reprehensible. You have things like redlining, where

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Speaker 1: you couldn't get a mortgage in neighborhoods that were deemed unsafe,

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Speaker 1: which was kind of a code for being not white.

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Speaker 1: It wasn't where white people live. And there's neighborhood segregation,

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Speaker 1: a lot of other things that have happened in real estate.

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Speaker 1: And so you need to build a team that, in

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Speaker 1: my view, reflects America, reflects the people that you're trying

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Speaker 1: to serve, so that you can bring in folks who

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Speaker 1: are going to look at aspects of your business and say, well,

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Speaker 1: that's a place where you could have bias, that's something

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Speaker 1: that we should avoid doing and make sure that that's

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Speaker 1: part of how you're growing the company. And I'm so

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Speaker 1: glad you said that because one of the things that

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Speaker 1: we're talking about a little bit more is machine learning

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Speaker 1: and artificial intelligence, and one of the big ongoing conversations

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Speaker 1: in that field is how do you build these systems

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Speaker 1: and minimize the entry of unintentional bias. So hearing that

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Speaker 1: and also just knowing that by inviting more voices to

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Speaker 1: the table, you get perspectives you otherwise never would have had,

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Speaker 1: and that that you can't benefit from something if you

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Speaker 1: don't know about it, Absolutely you can build a stronger business.

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Speaker 1: You know, I moved a lot when I was a kid.

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Speaker 1: I lived in five different states and seven different homes

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Speaker 1: before I turned eight. Team and so when I came

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Speaker 1: to red Philip's kind of opportunity to help families like mine.

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Speaker 1: When started, I realized that Redfin actually wasn't hadn't launched

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Speaker 1: in all of those places that I lived as a kid,

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Speaker 1: all of those poems that I lived in where you know,

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Speaker 1: maybe lower income areas or areas where Redfin had expanded.

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Speaker 1: We were mostly in coastal markets. And so one of

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Speaker 1: the things when I joined was, Hey, why don't we

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Speaker 1: go into all these areas that we're not serving and

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Speaker 1: do a really big expansion push. And so that was

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Speaker 1: one of the things that I really fought for and

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Speaker 1: then we've since done is really becoming a much more

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Speaker 1: national brokerage. And that's created, you know, a huge business

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Speaker 1: and revenue opportunity. I think when you can access talent

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Speaker 1: that other people aren't using, it gives you opportunities to

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Speaker 1: grow your business in ways that other companies can't. And

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Speaker 1: when you are looking at developing teams and developing leaders,

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Speaker 1: what are the qualities that you look for? One are

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Speaker 1: the things that stand out that make you say this

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Speaker 1: is what is a perfect fit for a leadership role. Yeah,

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Speaker 1: so we're looking for a couple of different things. I mean,

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Speaker 1: one is just is this someone who gets results? Is

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Speaker 1: this someone who can lead a team to win? That

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Speaker 1: is important part of business. But we're also looking for

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Speaker 1: a leader who is collaborative by nature, who can bring

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Speaker 1: out all the voices in the room and make sure

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Speaker 1: that there's a way to hear all of those voices.

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Speaker 1: And that's a really tricky thing to do in a

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Speaker 1: world where you know, some people are more or less extroverted,

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Speaker 1: some people, based on their background, are more or less

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Speaker 1: comfortable going up against a leader, and so you need

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Speaker 1: to find ways, though to bring out all of that

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Speaker 1: talent you have and then make a decision. So we're

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Speaker 1: looking for people who can foster that kind of environment. Well,

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Speaker 1: can you tell me about a project you've worked on

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Speaker 1: at red Finn that you're particularly proud of and maybe

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Speaker 1: walk us through from ideation to execution. Yeah. So, one

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Speaker 1: thing I've been excited about recently is that Redfinn is

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Speaker 1: now getting into the rental space. So this was a

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Speaker 1: project that my team and I worked on for many years,

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Speaker 1: just saying, you know, if our mission is to redefined

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Speaker 1: real estate in the consumers favor, we know that there

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Speaker 1: are people who are considering whether to rent or buy,

433
00:21:55,320 --> 00:21:57,919
Speaker 1: or rent or so, and we were not able to

434
00:21:57,960 --> 00:22:00,720
Speaker 1: serve all of those customers. So we had started putting

435
00:22:00,720 --> 00:22:02,359
Speaker 1: in some plans, you know, how could we build a

436
00:22:02,440 --> 00:22:05,920
Speaker 1: rentals business ourselves, And that eventually turned into looking at

437
00:22:06,160 --> 00:22:08,960
Speaker 1: M and A and then acquiring rent Path, which we

438
00:22:09,000 --> 00:22:11,280
Speaker 1: did just a couple of months ago, and so we

439
00:22:11,359 --> 00:22:13,720
Speaker 1: now have we're now in our rentals business. Rent Path

440
00:22:13,760 --> 00:22:16,439
Speaker 1: operates rent dot com and apartment guide dot com and

441
00:22:16,480 --> 00:22:19,040
Speaker 1: we now have this business that we can integrate with

442
00:22:19,119 --> 00:22:23,080
Speaker 1: red Finn to really help to solve that whole consumer problem.

443
00:22:23,520 --> 00:22:25,679
Speaker 1: And so that was a project that went on for

444
00:22:25,720 --> 00:22:27,600
Speaker 1: many years, and there's still plenty of work to do

445
00:22:27,640 --> 00:22:29,359
Speaker 1: because you know, all we've done at this point was

446
00:22:29,560 --> 00:22:31,480
Speaker 1: is a choire rent path. Now we actually have to

447
00:22:31,560 --> 00:22:36,119
Speaker 1: deliver on that vision. Cool. Well, let's transition over to

448
00:22:36,200 --> 00:22:38,440
Speaker 1: talking about one of my favorite things, which is just

449
00:22:39,000 --> 00:22:43,320
Speaker 1: emerging technology, maturing technology. We touched on one with big

450
00:22:43,400 --> 00:22:46,240
Speaker 1: data and your your journey over the last ten years.

451
00:22:46,680 --> 00:22:48,720
Speaker 1: Do you have any other perspectives on big data? I mean,

452
00:22:48,720 --> 00:22:50,800
Speaker 1: we talked a little bit about how the tools to

453
00:22:51,280 --> 00:22:55,720
Speaker 1: process big data are becoming more accessible and we're starting

454
00:22:55,760 --> 00:23:00,520
Speaker 1: to see providers, various third party providers come up with tools.

455
00:23:00,720 --> 00:23:03,320
Speaker 1: There any other things about big data that just leap

456
00:23:03,400 --> 00:23:06,359
Speaker 1: out at you as like this is really important. Yeah,

457
00:23:06,600 --> 00:23:08,639
Speaker 1: I think this idea of you know, what is a

458
00:23:08,680 --> 00:23:12,280
Speaker 1: home worth is incredibly interesting. You know, there have been

459
00:23:12,400 --> 00:23:14,879
Speaker 1: online estimates that have come out over the last few years.

460
00:23:15,160 --> 00:23:17,320
Speaker 1: You know, red fin has the most haccurate online home

461
00:23:17,400 --> 00:23:20,239
Speaker 1: value estimate where you know, we're more than twice as

462
00:23:20,280 --> 00:23:23,159
Speaker 1: likely to be within three percent of the final sale price.

463
00:23:23,520 --> 00:23:25,600
Speaker 1: And so you know, when you think about, if you

464
00:23:25,640 --> 00:23:28,000
Speaker 1: know better than anyone else, what is a home worth?

465
00:23:28,280 --> 00:23:31,240
Speaker 1: What kinds of businesses can you build. So not only

466
00:23:31,240 --> 00:23:33,960
Speaker 1: have we used that to help our listing agents help

467
00:23:34,000 --> 00:23:36,440
Speaker 1: us seller price their home accurately, but we've also now

468
00:23:36,440 --> 00:23:39,000
Speaker 1: started a business called redfin now basically an I buying

469
00:23:39,040 --> 00:23:42,159
Speaker 1: business where we purchase homes, we renovate them and put

470
00:23:42,200 --> 00:23:44,639
Speaker 1: them back on the market. And so they're pricing is

471
00:23:44,680 --> 00:23:47,119
Speaker 1: all about, you know what, what's the right amount to

472
00:23:47,160 --> 00:23:48,919
Speaker 1: pay for that home, what would be worth if you

473
00:23:48,960 --> 00:23:51,600
Speaker 1: did different kinds of renovations. How long will it be

474
00:23:51,680 --> 00:23:53,480
Speaker 1: on the market once you go and sell that. But

475
00:23:53,520 --> 00:23:55,480
Speaker 1: if you can figure that out better than anyone else,

476
00:23:55,880 --> 00:23:58,240
Speaker 1: you can really win at that type of business. So

477
00:23:58,280 --> 00:24:03,200
Speaker 1: I think pricing is this huge opportunity still in the industry. Well,

478
00:24:03,200 --> 00:24:06,119
Speaker 1: and that makes me curious because I mean, so I've

479
00:24:06,160 --> 00:24:08,240
Speaker 1: been through the process of buying a home a couple

480
00:24:08,240 --> 00:24:10,480
Speaker 1: of times, and the first time I did it, it

481
00:24:10,560 --> 00:24:14,240
Speaker 1: was a very different world because back when I first

482
00:24:14,359 --> 00:24:18,840
Speaker 1: bought a house, the idea of a smart home was

483
00:24:19,040 --> 00:24:22,120
Speaker 1: the thing of tex Avery cartoons. Right, It's like big

484
00:24:22,200 --> 00:24:24,679
Speaker 1: robot arms coming out and helping you get dressed and

485
00:24:24,680 --> 00:24:26,560
Speaker 1: that kind of thing. But now we're actually in a

486
00:24:26,680 --> 00:24:30,639
Speaker 1: world where we're seeing a lot more integrations of smart

487
00:24:30,680 --> 00:24:33,679
Speaker 1: home technology. Are your approaches to pricing, Are you starting

488
00:24:33,680 --> 00:24:37,440
Speaker 1: to look at things like that about how integrated technology

489
00:24:37,520 --> 00:24:40,639
Speaker 1: can play a part in home's value. Yeah, we we

490
00:24:40,720 --> 00:24:42,920
Speaker 1: are looking at those sorts of things, and we're also

491
00:24:42,960 --> 00:24:46,560
Speaker 1: looking at ways that a smart home can lead to

492
00:24:47,520 --> 00:24:50,240
Speaker 1: a better ability to sell a home quickly. So we

493
00:24:50,320 --> 00:24:52,760
Speaker 1: have a feature called direct Access where we'll put a

494
00:24:52,760 --> 00:24:56,040
Speaker 1: smart luck on home and we find that when we

495
00:24:56,119 --> 00:24:57,920
Speaker 1: put a smart luck on a home, that home gets

496
00:24:57,960 --> 00:25:01,280
Speaker 1: twice as many tours. So that's twice as many folks

497
00:25:01,280 --> 00:25:03,960
Speaker 1: who are walking through your home and trying to get

498
00:25:04,000 --> 00:25:06,560
Speaker 1: an opportunity to actually go and buy that. And so

499
00:25:06,640 --> 00:25:09,440
Speaker 1: when you look at how that can help to sell

500
00:25:09,560 --> 00:25:11,879
Speaker 1: a home, I mean it's there's huge opportunities there in

501
00:25:11,920 --> 00:25:15,840
Speaker 1: the industry. That's fascinating to me. Like that's a legit,

502
00:25:16,520 --> 00:25:19,760
Speaker 1: one to one sort of approach of saying, here's here's

503
00:25:19,760 --> 00:25:24,760
Speaker 1: a particular smart technology that you wouldn't necessarily associate with

504
00:25:25,080 --> 00:25:28,080
Speaker 1: a fully integrated smart home. It's not like the crazy

505
00:25:28,160 --> 00:25:31,440
Speaker 1: entertainment system, and you know all the appliances are integrated,

506
00:25:31,480 --> 00:25:33,960
Speaker 1: and yet you can point to that one data point

507
00:25:34,080 --> 00:25:38,400
Speaker 1: and say we see from just the number of tours

508
00:25:38,400 --> 00:25:41,639
Speaker 1: that this is a big component that inspires people to

509
00:25:41,720 --> 00:25:44,119
Speaker 1: check this out. I think that brings up how are

510
00:25:44,160 --> 00:25:47,080
Speaker 1: people going to look at the trade offs between privacy

511
00:25:47,160 --> 00:25:49,200
Speaker 1: and having a fully smart home, Like as you get

512
00:25:49,240 --> 00:25:52,399
Speaker 1: into things like five key and opportunities for just a

513
00:25:52,440 --> 00:25:55,120
Speaker 1: lot more devices sending a lot more data from your home?

514
00:25:55,680 --> 00:25:58,119
Speaker 1: Is that going to you know, increase that conversation that

515
00:25:58,119 --> 00:26:00,399
Speaker 1: people are having about under what circumstances is what are

516
00:26:00,400 --> 00:26:03,440
Speaker 1: they willing to share data about what's happening within your home.

517
00:26:03,480 --> 00:26:06,200
Speaker 1: That's the place where you live, and you know you

518
00:26:06,200 --> 00:26:08,560
Speaker 1: you hear that tension that's going on right now, and

519
00:26:08,600 --> 00:26:10,639
Speaker 1: so I'm really interested to see how those things develop.

520
00:26:10,720 --> 00:26:13,280
Speaker 1: I think, like you're saying, there are many homeowners who

521
00:26:13,320 --> 00:26:15,480
Speaker 1: want the promise, They want what was promised in the

522
00:26:15,560 --> 00:26:18,720
Speaker 1: Jetsons and all these old sci fi shows and things.

523
00:26:18,760 --> 00:26:21,480
Speaker 1: But but you have to figure out what the right

524
00:26:21,520 --> 00:26:24,840
Speaker 1: bounces for privacy as well and all those things. I agree,

525
00:26:25,040 --> 00:26:28,119
Speaker 1: And you know, finding out those spots where you think, okay,

526
00:26:28,119 --> 00:26:31,840
Speaker 1: this is a value added proposition if I go with this, well,

527
00:26:31,920 --> 00:26:33,560
Speaker 1: can you tell us a little bit more about some

528
00:26:33,600 --> 00:26:36,159
Speaker 1: of the technologies that you're using at RED finn in

529
00:26:36,280 --> 00:26:39,840
Speaker 1: order to to do what you do. Yeah. So, so

530
00:26:39,960 --> 00:26:43,640
Speaker 1: we're right now in this situation where we have multiple

531
00:26:43,680 --> 00:26:45,919
Speaker 1: businesses that are ready to scale at once. When I

532
00:26:46,000 --> 00:26:48,639
Speaker 1: joined ten years ago, we're really primarily a brokerage business,

533
00:26:48,640 --> 00:26:51,240
Speaker 1: but since then we've launched a mortgage business where we

534
00:26:51,280 --> 00:26:54,879
Speaker 1: built the whole owner regination system, title insurance business redfin

535
00:26:54,960 --> 00:26:57,280
Speaker 1: now where we buy homes, um pick them up, put

536
00:26:57,320 --> 00:27:00,240
Speaker 1: them back on the market. And so the engineering team

537
00:27:00,240 --> 00:27:01,719
Speaker 1: is in the situation where we're trying to figure out

538
00:27:01,760 --> 00:27:03,879
Speaker 1: how to scale all of those businesses at once. And

539
00:27:03,920 --> 00:27:05,800
Speaker 1: while Redmond as a business has to adapt to that,

540
00:27:05,880 --> 00:27:08,080
Speaker 1: you know, who's involved in which decisions and how do

541
00:27:08,119 --> 00:27:10,240
Speaker 1: you separate out the revenue and all those sorts of things,

542
00:27:10,400 --> 00:27:12,760
Speaker 1: the technology team is trying to figure out how do

543
00:27:12,800 --> 00:27:15,240
Speaker 1: we set up our systems to scale with the business,

544
00:27:15,240 --> 00:27:18,560
Speaker 1: Where should we separate into services, and where should things

545
00:27:18,640 --> 00:27:22,000
Speaker 1: be sharing the same back end technology. So that's presenting

546
00:27:22,000 --> 00:27:24,840
Speaker 1: a really interesting architecture challenge. You know, many companies have

547
00:27:24,960 --> 00:27:27,800
Speaker 1: gone through this kind of scale and we're going through

548
00:27:27,800 --> 00:27:29,400
Speaker 1: it right now, and we have to find our own

549
00:27:29,440 --> 00:27:31,680
Speaker 1: way to set up an architecture that's going to work

550
00:27:31,720 --> 00:27:34,840
Speaker 1: for our business. I can only imagine that this is

551
00:27:34,960 --> 00:27:38,760
Speaker 1: complicated exponentially by the fact that obviously you're dealing with

552
00:27:39,440 --> 00:27:43,439
Speaker 1: real estate in vastly different regions. Each ones have different

553
00:27:43,440 --> 00:27:47,119
Speaker 1: price points, different average home values. Yes, real estate is

554
00:27:47,119 --> 00:27:49,560
Speaker 1: a very local business, and it's one of the first

555
00:27:49,600 --> 00:27:51,280
Speaker 1: things you kind of realize when you get into the

556
00:27:51,320 --> 00:27:54,119
Speaker 1: space that a lot of these approaches that have worked

557
00:27:54,119 --> 00:27:57,000
Speaker 1: for you know, national scale websites, they just fall apart

558
00:27:57,040 --> 00:27:59,520
Speaker 1: when you realize that your algorithms and your real estate

559
00:27:59,520 --> 00:28:02,560
Speaker 1: agents and your whole business has to understand, well, what's

560
00:28:02,560 --> 00:28:04,720
Speaker 1: it like to buy a home in Albuquerque. It doesn't

561
00:28:04,760 --> 00:28:07,280
Speaker 1: matter what the you know, lowest comminent I'm here is

562
00:28:07,320 --> 00:28:09,639
Speaker 1: across the whole the whole country. You have to be

563
00:28:09,680 --> 00:28:12,280
Speaker 1: able to serve the customers in Albuquerque. So there's a

564
00:28:12,280 --> 00:28:14,960
Speaker 1: lot of considerations and how we built our technology to

565
00:28:15,000 --> 00:28:17,800
Speaker 1: make sure that we can bring in that local voice

566
00:28:17,880 --> 00:28:20,679
Speaker 1: at the appropriate time. That to me is phenomenal. The

567
00:28:20,760 --> 00:28:23,879
Speaker 1: idea of having to build in that ability for localization.

568
00:28:24,119 --> 00:28:27,439
Speaker 1: It makes me think of completely different industries that often

569
00:28:27,480 --> 00:28:29,600
Speaker 1: have to look at localization. If you're talking about maybe

570
00:28:29,600 --> 00:28:32,040
Speaker 1: a software product where you need to have a team

571
00:28:32,160 --> 00:28:35,280
Speaker 1: specialized in localization for that, but for something where you're

572
00:28:35,280 --> 00:28:40,440
Speaker 1: talking about localization within a single country, that's pretty phenomenal. Yeah,

573
00:28:40,480 --> 00:28:42,440
Speaker 1: and yeah, it's almost in some ways more like a

574
00:28:42,520 --> 00:28:46,160
Speaker 1: retail business to grow a real estate business, because you

575
00:28:46,200 --> 00:28:49,440
Speaker 1: almost you really have to understand what the consumers in

576
00:28:49,440 --> 00:28:54,880
Speaker 1: that one particular part of the country. Bridget has an

577
00:28:54,960 --> 00:28:59,680
Speaker 1: innovative and yet pragramatic approach to integrating technology. I really

578
00:28:59,720 --> 00:29:02,720
Speaker 1: wanted to hear her thoughts on emerging and maturing tech

579
00:29:03,000 --> 00:29:05,600
Speaker 1: and how those might play a part in redfins business

580
00:29:05,640 --> 00:29:09,680
Speaker 1: moving forward. So Kubernetes is one that we're really investing

581
00:29:09,680 --> 00:29:13,440
Speaker 1: in right now. So that's it's related to that strategy

582
00:29:13,520 --> 00:29:15,280
Speaker 1: that I talked about to make sure that we can

583
00:29:15,320 --> 00:29:18,200
Speaker 1: support multiple growing businesses and have a really well defined

584
00:29:18,240 --> 00:29:21,840
Speaker 1: services architecture layer. So Kubernetes is helping us to do that,

585
00:29:22,040 --> 00:29:23,960
Speaker 1: and you know, hopefully to do that in a way

586
00:29:24,000 --> 00:29:28,160
Speaker 1: that's neutral about different cloud platforms over time, where you know,

587
00:29:28,200 --> 00:29:31,240
Speaker 1: we can choose what the right places to deploy our

588
00:29:31,280 --> 00:29:34,640
Speaker 1: software based on costs and performance and many other factors.

589
00:29:35,640 --> 00:29:38,840
Speaker 1: I think you're the first person to talk about Kubernetes

590
00:29:38,920 --> 00:29:42,720
Speaker 1: on this PODCASTA. Alright, well, so we're we are on

591
00:29:42,920 --> 00:29:46,560
Speaker 1: I would say a cusp of another data explosion, right,

592
00:29:46,640 --> 00:29:49,520
Speaker 1: because we are in the era of the Internet of

593
00:29:49,600 --> 00:29:53,680
Speaker 1: Things and we're seeing this proliferation of devices connecting to

594
00:29:53,760 --> 00:29:59,160
Speaker 1: networks that are just constantly collecting data from whatever sensors

595
00:29:59,160 --> 00:30:02,320
Speaker 1: are attached there. And now we're also seeing the roll

596
00:30:02,360 --> 00:30:06,560
Speaker 1: out of five G which is supporting incredible throughput of

597
00:30:07,320 --> 00:30:11,120
Speaker 1: data with low latency. How does that future impact you

598
00:30:11,560 --> 00:30:14,840
Speaker 1: or is that something more that you would experience as

599
00:30:14,840 --> 00:30:18,240
Speaker 1: a consumer as opposed to someone incorporating it into your work.

600
00:30:18,960 --> 00:30:21,400
Speaker 1: So I think, I mean, real estate is so data

601
00:30:21,440 --> 00:30:24,120
Speaker 1: intensive with you know, photos and video and you know,

602
00:30:24,160 --> 00:30:26,840
Speaker 1: potentially at some point sensors that could tell you the

603
00:30:26,920 --> 00:30:29,600
Speaker 1: air quality, the sound quality of a home. There are

604
00:30:29,600 --> 00:30:32,280
Speaker 1: things that people are looking for information about homes that

605
00:30:32,520 --> 00:30:35,800
Speaker 1: they typically can't get without visiting the home. And so

606
00:30:35,920 --> 00:30:39,040
Speaker 1: I think as we see more interconnectedness, maybe that that

607
00:30:39,160 --> 00:30:41,480
Speaker 1: data can feed into a real estate say in a

608
00:30:41,520 --> 00:30:44,400
Speaker 1: real estate business, for sure. But I also look at

609
00:30:44,760 --> 00:30:47,240
Speaker 1: you know that we're talking about five you over here,

610
00:30:47,320 --> 00:30:49,719
Speaker 1: but there's still twenty million Americans that don't have access

611
00:30:49,760 --> 00:30:52,680
Speaker 1: to broadband. There are many more who are not able

612
00:30:52,720 --> 00:30:55,840
Speaker 1: to afford broadband access. The pandemic has really exposed this

613
00:30:56,000 --> 00:30:58,800
Speaker 1: kind of two America's in this way about who can

614
00:30:58,840 --> 00:31:01,080
Speaker 1: get onto the Internet and who can't, and that really

615
00:31:01,120 --> 00:31:03,880
Speaker 1: affects a business like ours as well, because when we

616
00:31:03,920 --> 00:31:06,160
Speaker 1: send someone to a home, we send a real estate

617
00:31:06,200 --> 00:31:09,080
Speaker 1: agent with an app that they can use to help

618
00:31:09,120 --> 00:31:11,720
Speaker 1: their customer learn about the home in the area. And

619
00:31:11,880 --> 00:31:13,640
Speaker 1: we have the smart lacks. We have all these things,

620
00:31:13,640 --> 00:31:15,960
Speaker 1: and those technologies don't work when you're in an area

621
00:31:16,040 --> 00:31:19,440
Speaker 1: that doesn't have either broadband or or cell phone support.

622
00:31:19,520 --> 00:31:22,239
Speaker 1: So I'm still kind of looking at that as a

623
00:31:22,320 --> 00:31:26,400
Speaker 1: huge opportunity in America to really bring internet to everyone,

624
00:31:26,480 --> 00:31:28,480
Speaker 1: and I think you'll see like an explosion of other

625
00:31:28,560 --> 00:31:33,080
Speaker 1: technologies as they reach more people. I agree the digital

626
00:31:33,120 --> 00:31:35,680
Speaker 1: divide is a very real thing. We see that in

627
00:31:35,760 --> 00:31:38,400
Speaker 1: lots of communities across the United States. I'm sure that

628
00:31:38,480 --> 00:31:41,720
Speaker 1: you have far greater insight into that than even I do.

629
00:31:41,920 --> 00:31:46,040
Speaker 1: So seeing this rollout where we're getting greater penetration in areas,

630
00:31:46,080 --> 00:31:50,320
Speaker 1: I'm hopeful that it goes far beyond urban centers and

631
00:31:50,360 --> 00:31:54,000
Speaker 1: starts to reach those communities that otherwise tend to be

632
00:31:54,320 --> 00:31:58,840
Speaker 1: either unserved or underserved, so that then we can really

633
00:31:58,880 --> 00:32:02,520
Speaker 1: talk about what the connected technologies can can do. Once

634
00:32:02,680 --> 00:32:04,840
Speaker 1: everyone has a seat at that table, and we may

635
00:32:04,880 --> 00:32:07,360
Speaker 1: see this kind of you know, digital nomad trend as

636
00:32:07,400 --> 00:32:10,200
Speaker 1: that accelerates really you know, people who want to live

637
00:32:10,240 --> 00:32:13,280
Speaker 1: in the rural part of Georgia that you're talking about

638
00:32:13,320 --> 00:32:15,400
Speaker 1: on the lake or you know, and then finding that

639
00:32:15,480 --> 00:32:18,560
Speaker 1: there's no internet. It could be that those folks who

640
00:32:18,600 --> 00:32:21,200
Speaker 1: have an opportunity to work remotely may start to push

641
00:32:21,400 --> 00:32:24,120
Speaker 1: for for Internet in addition to the people who are

642
00:32:24,120 --> 00:32:26,160
Speaker 1: already living in that community, and that could help to

643
00:32:26,360 --> 00:32:30,240
Speaker 1: accelerate this trend. But we'll have to see. That's interesting, yeah,

644
00:32:30,280 --> 00:32:32,720
Speaker 1: because that makes me think of people who are early

645
00:32:32,760 --> 00:32:36,040
Speaker 1: adopters to technology, and those are the ones who ultimately,

646
00:32:36,400 --> 00:32:40,440
Speaker 1: because they're adopting the tech, help bring accessibility and bring

647
00:32:40,480 --> 00:32:43,000
Speaker 1: down the price of that tech for you know, normal

648
00:32:43,040 --> 00:32:46,320
Speaker 1: schmows like me. Well, are there any technologies that you

649
00:32:46,360 --> 00:32:49,960
Speaker 1: are hoping that you can incorporate into red fins approach

650
00:32:50,120 --> 00:32:53,560
Speaker 1: in the short term future? Yeah? So, I mean we're

651
00:32:53,720 --> 00:32:56,320
Speaker 1: there's there's just so many things that we're working on. Um.

652
00:32:56,360 --> 00:32:59,120
Speaker 1: I mean, I am really excited to bring rentals in.

653
00:32:59,480 --> 00:33:02,760
Speaker 1: I'm very cited about our mortgage business. So mortgage is

654
00:33:02,800 --> 00:33:06,680
Speaker 1: another area that's just really right for innovation and new approaches,

655
00:33:06,920 --> 00:33:10,080
Speaker 1: and because we've built our own loan origination system, it's

656
00:33:10,080 --> 00:33:12,880
Speaker 1: giving us some opportunities to look for ways to digitize

657
00:33:12,920 --> 00:33:15,320
Speaker 1: parts of the process that really have never been digitized

658
00:33:15,360 --> 00:33:18,080
Speaker 1: before and to get you know, better efficiency and to

659
00:33:18,120 --> 00:33:20,880
Speaker 1: offer a better mortgage product and price point for our

660
00:33:20,920 --> 00:33:23,920
Speaker 1: customers over time. So that's another area that we're really

661
00:33:23,960 --> 00:33:27,360
Speaker 1: investing in. UM. It's a lot of looking at ways

662
00:33:27,440 --> 00:33:30,480
Speaker 1: to build what we call the complete real Estate solution,

663
00:33:30,840 --> 00:33:33,360
Speaker 1: where we can bring in a lot of very complicated

664
00:33:33,400 --> 00:33:36,400
Speaker 1: pieces of the business at a technical layer, so that

665
00:33:36,560 --> 00:33:38,880
Speaker 1: a consumer can have a relationship with redfin and we

666
00:33:38,920 --> 00:33:41,880
Speaker 1: can help them with their whole move. Everything you're saying

667
00:33:42,040 --> 00:33:45,320
Speaker 1: is resonating so deeply with me right now, because that

668
00:33:45,440 --> 00:33:49,160
Speaker 1: process is incredibly stressful, and having a tool or set

669
00:33:49,200 --> 00:33:53,160
Speaker 1: of tools that are actively or even proactively helping you

670
00:33:53,200 --> 00:33:57,080
Speaker 1: through that process, that's just such an incredible thing to

671
00:33:57,640 --> 00:33:59,840
Speaker 1: have at your disposal. And many people who are buying

672
00:33:59,840 --> 00:34:02,160
Speaker 1: our selling at home, they realize there are gaps between

673
00:34:02,200 --> 00:34:04,080
Speaker 1: all of the people who are trying to help you

674
00:34:04,120 --> 00:34:06,800
Speaker 1: get through that UM that the lender doesn't know the

675
00:34:06,840 --> 00:34:10,080
Speaker 1: Asian doesn't know the title insurance person, and there's paperwork

676
00:34:10,120 --> 00:34:12,480
Speaker 1: that's lost, you have to duplicate it. People are still

677
00:34:12,520 --> 00:34:14,920
Speaker 1: faxing the paperwork. You know, there's there's all these things

678
00:34:14,960 --> 00:34:17,359
Speaker 1: that are happening. And so you know, when we bring

679
00:34:17,400 --> 00:34:19,920
Speaker 1: all of those businesses under one roof, you know, your

680
00:34:19,960 --> 00:34:23,000
Speaker 1: agent is able to help you through that whole process,

681
00:34:23,040 --> 00:34:25,959
Speaker 1: and all the people who are there um supporting them

682
00:34:26,040 --> 00:34:29,239
Speaker 1: are integrated using the same technology. They're all integrated. So

683
00:34:29,600 --> 00:34:32,040
Speaker 1: you know, and and every time where we build a

684
00:34:32,080 --> 00:34:34,880
Speaker 1: feature that helps make a real estate agent more efficient,

685
00:34:34,960 --> 00:34:36,560
Speaker 1: I just think, well, now the real estate agent can

686
00:34:36,600 --> 00:34:38,400
Speaker 1: spend more time with the customer, you know, instead of

687
00:34:38,400 --> 00:34:42,880
Speaker 1: faxing documents or splitting PDFs into multiple sections, that agent

688
00:34:42,920 --> 00:34:45,080
Speaker 1: can really sit down and understand a customer what they're

689
00:34:45,080 --> 00:34:47,640
Speaker 1: really looking for. And over time, you know, we're just

690
00:34:47,760 --> 00:34:49,799
Speaker 1: we're just chipping away at that. We're giving the agent

691
00:34:49,800 --> 00:34:53,120
Speaker 1: of their day back. It's the promise of technology, right,

692
00:34:53,160 --> 00:34:57,440
Speaker 1: the idea that technology will take the parts of our

693
00:34:57,480 --> 00:35:01,759
Speaker 1: our duties that are the most time consuming, often the

694
00:35:01,840 --> 00:35:04,560
Speaker 1: least fulfilling, and be able to offload that so that

695
00:35:04,600 --> 00:35:06,879
Speaker 1: we can focus more on the things that we are

696
00:35:06,960 --> 00:35:11,080
Speaker 1: fulfilling that are meaningful to us. That's also one of

697
00:35:11,120 --> 00:35:15,719
Speaker 1: the things I absolutely love about well implemented tech. I

698
00:35:15,719 --> 00:35:19,399
Speaker 1: couldn't let Bridget go without asking her one more thing,

699
00:35:20,320 --> 00:35:23,839
Speaker 1: what keeps you up at night? It seems like we're

700
00:35:23,880 --> 00:35:27,040
Speaker 1: finding more ways as a planet to have these kind

701
00:35:27,040 --> 00:35:29,600
Speaker 1: of global problems that we're going to need to find

702
00:35:29,600 --> 00:35:31,880
Speaker 1: ways to collaborate on. I mean, the pandemic has exposed,

703
00:35:31,920 --> 00:35:35,919
Speaker 1: a climate change, plastics, There's there's so many things that

704
00:35:36,120 --> 00:35:38,160
Speaker 1: we're going to have to find ways as a planet

705
00:35:38,239 --> 00:35:41,600
Speaker 1: to solve together. And so I hope we're able to

706
00:35:41,640 --> 00:35:44,759
Speaker 1: find ways that you know, community is in in smaller

707
00:35:44,840 --> 00:35:47,319
Speaker 1: parts of the planet can solve problems that we can

708
00:35:47,320 --> 00:35:50,520
Speaker 1: then use to apply to the larger ones. You're clearly

709
00:35:50,520 --> 00:35:53,480
Speaker 1: a very empathetic person, so that's the sort of answer

710
00:35:53,480 --> 00:35:57,080
Speaker 1: I would have anticipated and one I can certainly identify

711
00:35:57,200 --> 00:36:01,960
Speaker 1: with Bridget. Thank you so much for joining us today.

712
00:36:02,000 --> 00:36:04,759
Speaker 1: This has been a wonderful conversation. Thank you so much

713
00:36:04,800 --> 00:36:07,000
Speaker 1: for having me. This was a lot of funs. What

714
00:36:07,120 --> 00:36:10,480
Speaker 1: I took away from Bridget is that a strong CTO

715
00:36:10,640 --> 00:36:16,440
Speaker 1: really can't focus exclusively on technological solutions. A great CTO

716
00:36:16,520 --> 00:36:19,080
Speaker 1: has to be an advocate for their team and to

717
00:36:19,120 --> 00:36:22,640
Speaker 1: make certain that the projects they launch support the organization

718
00:36:22,680 --> 00:36:26,920
Speaker 1: as a whole. Bridgets incorporation of empathy and leadership with

719
00:36:27,040 --> 00:36:31,480
Speaker 1: identifying the right technological solutions comes across as a holistic

720
00:36:31,560 --> 00:36:35,400
Speaker 1: approach to achieving goals and honestly, hearing about a company

721
00:36:35,440 --> 00:36:38,680
Speaker 1: that's dedicated to making the process of buying a home

722
00:36:38,840 --> 00:36:43,279
Speaker 1: less arduous goes a long way in my book, thank

723
00:36:43,320 --> 00:36:46,040
Speaker 1: you for listening to the restless Ones. Be sure to

724
00:36:46,080 --> 00:36:49,440
Speaker 1: tune into future episodes where I'll have more conversations with

725
00:36:49,600 --> 00:36:52,359
Speaker 1: leaders in tech who are shaping the future of how

726
00:36:52,440 --> 00:37:03,799
Speaker 1: technology and business intertwined. I'm Jonathan Strickland. These days, new

727
00:37:03,840 --> 00:37:06,400
Speaker 1: ways of working have become the norm, and the status

728
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Speaker 1: quo no longer cuts it when it comes to helping

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Speaker 1: businesses evolve and grow. That's why T Mobile for Business

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Speaker 1: uses unconventional thinking to help businesses sees innovation only. T

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Speaker 1: Mobile offers America's largest and fastest five gene network, which

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Speaker 1: Business can do for you at t mobile dot com.

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Speaker 1: Slash Unconventional Open Signal awarded. T Mobile fastest five G

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Speaker 1: Capable device required coverage not available in some areas. Some

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