Credit Karma

See which workplaces made this year's list.

GPTW Financial Services Industry Large 2022-Credit Karma

Employees say: 
 
“I've never worked at a company where leadership and employees are so passionate about the mission. I can honestly say our leadership team is one of the most genuine and impressive group of people I've ever seen within a workplace.”

Best Large Workplaces in Financial Services and Insurance

Based on employee reports, Bay Area-headquartered companies excel at fostering wellness.

GPTW Bay Area Large 2022-Credit Karma

Employees say: 
 
“Management is very supportive in professional growth and development. CK puts so much effort into taking care of their employees with all of the great benefits, company events, and amazing snacks! They also recently flew out all of their employees to Las Vegas and provided an extra bonus check to all employees, which is unique and uncommon for companies of this size. I love working for CK and looking forward to growing my career here!”

Best Large Workplaces in the Bay Area

The companies on this annual list make a conscious effort to be supportive, inclusive workplaces.

GPTW Women 2022-Credit Karma

Employees say: 
 
“The genuine business model is what makes Credit Karma unique. The framework that Ken designed early on to give members the chance at financial equality has trickled down to our every nook and cranny of the business, including in each Karmanaut. The mission speaks closely to me and it feels great knowing that I am doing my part to support marginalized and underrepresented communities as they become financially literate.”

100 Best Large Workplaces for Women

To determine millennials' workplace preferences, Fortune's research partner Great Place to Work analyzed feedback representing more than 6.1 million U.S. employees.

GPTW 2022 Millennials List Large-Credit Karma

Employees say: 
 
“Our culture of diversity and inclusion makes this a great place to work. We hire a wide variety of people who all bring insightful perspectives. The leadership is completely fantastic and very human. They explain things well, are transparent, and genuinely care about their employees.”

100 Best Large Workplaces for Millennials

See Fortune's list of "unicorns"—private startup companies that have soared to a $1 billion valuation or higher, based on fundraising.

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Like many software companies, Intuit is rebooting its products for AI. Unlike many software companies, it’s helping Intuit steal sales from its competition. The Silicon Valley stalwart’s chief executive as well as its AI chief explain how the company’s AI ambitions have led to its fastest organic growth in a decade—and share where TurboTax, QuickBooks, Credit Karma, and Mailchimp might go next. 

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Thanks for being here. Thank you for having us. So. I'm from Philadelphia. All right. And we're kind of big on the Revolutionary War. That's kind of our, our, the name of our game, OK? And there's an old colonial American, uh, phrase around the revolution, join or die. We're all familiar with this. Yes. Um, Sussan, I feel like for you. And your company, it has been disrupt or die. Would you agree with that? And why? Uh, so we're a 40 year old company. Yes, we were born tech. Yes, in tech. We were born in the era of shipping CDs. That's when I joined the company. Oh nice. And so first mention the CDs on this, on this stage today. There are, there, there are lights in my eyes, so I can't see this crowd, but I'm sure some of you, maybe many of you, uh, were not even born in the era of shipping CDs. And so we, you know, we've been through 4 plus massive technology shifts and, uh, and many, uh, economic cycles, and, uh, I'll, I'll tell you the DNA of the company long before me has been about what you just said, live or die, uh, and so we've had to figure out how to disrupt ourselves, yeah, yeah, and, and here you are standing today. What's your market cap today? What's Intuit worth these days? I don't know what the stock market did today, but you know we're almost 190 billion. Not too shabby after 40 years, so cheers, um. Ashoka, I want to come to you. Thank you for joining us, um. So Intuit made a big bet on machine and deep learning, as we called it a decade ago. I said earlier on the stage, stays true for you, um. And my understanding is you really have to get the data ready to do something like that. Um, tell us a little bit about that journey because we're talking about getting the data ready now, but you guys were doing that a decade ago. That's right. uh, Andrew, it's a pleasure to be here. What I'd tell you is that a decade ago, as you said, we started to invest in 3 things. Number 1, building the right team, number 2, building the right data platform, and then number 3, building the right AI platform. These three things work very, very well together. The team has been trained on AI on how to use data, how to govern it, how to manage it. We've built the clean data pipelines that bring data to our AI systems at scale, but then we Really invested in connecting the data and the AI and then we built an operating system on top of this whole thing called GenoS which allows developers now to build massive applications at scale. To give you an idea, in the last year, fiscal year 25, we had 3500 independent projects and product experiences created on Genos. Yeah, that's remarkable. I would like to know if you changed your strategy over those, again, 10 years or so, you know, if, if you could have seen what was coming, hindsight 20/20, where you, when you set out to make these changes a decade ago. Did you pivot along the way, you know, just seeing where the market was going in terms of, in terms of AI and capabilities and so forth. So, um, when Susan took over as CEO and the executive team launched, one of the things that they defined was that Intuit is an AI-driven expert platform. That is the company's strategy. That strategy has not changed. What we did do though is start to evolve the technology in order to meet that strategy. And so we've made deep investments in clean data at scale. We made deep investments in building an operating system that could allow people to access that data and build AI experiences, and we were doing this before the Gen AI revolution. When the Gen AI revolution came, we started to make investments in creating that operating system. And that has really delivered measurable return on investment for our customers as well as for Intuit itself. Yeah, Sassan, um, Intuit's founders 40 years ago said that the company's biggest competitor was paper and, and the spreadsheet as we know it today. Is that still true? Uh, it is actually, and, uh, just maybe briefly, uh, for your audience, you know, we serve consumers, uh, businesses of all sizes, and, um, and we focus on things that matter to them, right, which is money, cash flow, uh, as I hear, I hear they're concerned about the money, yeah, yeah, right, but, uh, the, the reason I start there is, you know, you're talking about cash flow, you're talking about survival, taxes, bookkeeping, and accounting. And um and there's an incredible fear factor when it comes to how do I grow my business, how do I manage my business, uh, am I gonna have money to make payroll, and, uh, and you know, 75% plus consumers live paycheck to paycheck. So this is a real, you know, we talk a lot about AI, but there's like a real customer here uh that matters and uh what, what we need to do for them, which is how do we power their prosperity. And I say that just to say that the majority to your question, the majority of both consumers and businesses fall in a bucket that we call non-consumption, and what we mean by that is, um, for instance, businesses, uh, use 10 to 25 apps to manage their business. Most of the time their data and their insights are trapped in individual apps, and so they also have to have a tax accountant, a bookkeeper to help them advise them. Uh, and we, and they use Excel spreadsheets, Google Sheets, and so it's all non-consumption, meaning they don't use a platform to run their personal life or, or their business. That's, uh, and 40 years ago, yes, it was all paper. Uh, today it's just a different form of paper. It's all in apps, but it's all still trapped. The insights are still trapped, which is why. Those that we serve rely a lot on people and we believe people will still be a huge part of the equation along with AI, which, uh, I think it's counter to what many talk about depending on the industry they serve. So if, if they're really just looking for a better piece of paper, a better spreadsheet or or whatever it is, um, but really they're looking for a solution. To their problem, right? Let's be honest, um, and we talked about this earlier on, on stage with, uh, the CEOs of FreshWorks and, and Xero earlier today, right? What do, what do they really actually care about? Just as a solution to their problem. Um, why spend all this money on AI? I mean, it's whiz bang, it's, you know, really great. We can do all this extraordinary thing. If the bar is paper low, you know, why do all this? Is it just to gain customers from. You know, the, the, the, the, the clutches of, of paper and spreadsheets. I mean, you don't have to try that hard, right? That's right, or wrong. No, I, I love the question that, uh, that you're asking. First of all, um, I, I remind ourselves at the company all the time, customers don't care about AI, right? Everybody talks about AI, but the reality is a consumer is looking to increase their cash flow. A consumer is looking to power their prosperity to make ends meet. A business is trying to get more customers. They're trying to. Manage their customers, sell them more, more services, and We bet the entire company before this topic was popular more than 70 years ago on really 3 things. One, it's what Ashok talked about, which is data. Uh, we have to make sure that our data is clean, it's customers' data, not ours. It's clean, it's usable, it's digestible by the platform. The second is in order for us to grow. We declared 7 years ago we need to deliver done for you experiences. What does that mean? From lead to cash as a business, we'll help you manage your leads, we'll help you manage your cash flow, we'll do your taxes for you, your accounting for you. We'll give you advice on whether or not you should buy inventory and done for you for consumers from credit to wealth. Help you build your credit if you don't have credit to how do you manage your money and grow your wealth. And what we said was the only way to do that was data. AI and 7 years ago we said HI, human intelligence. Uh, if you look at our addressable market, the majority of it is, is influenced by people, people that are tax experts, accountants, bookkeepers that are advising you on what to do. Although the work is completely changing and we're automating it with AI, we believe AI plus HI is essential to reshape the category, which is really what the investments are that we've made. So really it's a long answer to your very short question. That's all right. Customers don't care about AI. What they care about is help me grow my business, uh, help me prosper, and we have found the only way to do that is to combine technology, automating everything for them. With human intelligence on our platform that can actually give you the human touch and the advice. And we believe that will be the case for decades to come, but the role of the AI, the human, will change. So quick poll for the audience, how many people have gone to the store for AI? I really need to buy some AI today. Zero hands. Andrew, to your point, if I could add to that, probably no one has gone to buy AI, but probably a lot of you want work done for yourselves, right? You want to have technology that do work that you would rather do, uh, have the machine do. What we've found is that with our agents on average customers are saving 12 hours per month with routine tasks. They would have had to perform. They're getting paid 5 days faster. They're 10% more likely to be paid in full. And as a person who's run small businesses in the past, I can tell you numbers like that are very meaningful. 12 more hours means 12 more hours that I can spend building my products, understanding my customers. And we have so many more statistics like this that show that the AI and the human intelligence combined together actually help people do better in their financial life. So this is really exciting. Can I just take 30 seconds and, uh, add to what Ashok just said, make, make it sort of real in terms of what a business experience is. So as I said. Customers don't care about AI. Uh, but and what we have launched is, uh, is a virtual team of AI agents that can hand off things seamlessly to a human that will do things like help our customers manage their leads, uh, help invoice and create estimates on their behalf. They're always in control, uh, to follow up with customers that have overdue invoices, write everything for them, tell them which customers, um, are overdue and which ones typically pay on time and which ones they could actually get paid earlier. So we do all of the work based on leveraging the customer data. And AI capabilities to do the work for the customers. So the stats you're hearing from Ashok, um, we have an AI, um, accounting agent that will do a lot of the categorization. That's the 12 hours a month they're saving. Our payments AI agent, customer doesn't know what it is. It's just it helps them with estimates, invoicing, getting paid, and that's the tangible stuff that where we believe we can. Change the world to do the things for customers that has a real economic impact around the world. Totally. I just want to call attention to the fact that Ashok has the letters A and I stitched into the right sleeve of his shirt in case anyone doubted him. Well, he has one stitch on his head, but we put makeup on. You can't see. All right, all right. I was gonna say I wanna see the tattoos later, gentlemen. Um, all right, so, uh, uh, I wanna ask one more question and then, and then we should go to the audience for them, um. Look, you guys have so many customers. How many? 100 million plus. So you have, uh, an, an unbelievable view into the economy of, of a certain segment. I know you serve all segments, but you especially, uh, serve small and medium businesses in terms of quantity. I would like to know. In your opinion, how they're doing in this economy. This is a very odd economy. Um, and you know, many of them fear AI or don't care about it or whatever. So what are you seeing across the board? Yeah, it's a great question. Uh, just brief context, out of the 100 million, about 10 million are businesses of all sizes, and, uh, and the businesses that we serve aren't concentrated in any particular industry, so we will serve plumbers, landscapers, construction, real estate, wealth management. I could go on and on, um, uh, the two big things that I would say is. Listen, the job market is still strong. Uh, credit scores, um, are lower than they've ever been, um, particularly with Gen Z. Uh, Credit balances are at the highest that they've been, uh, particularly with Gen Z. Their credit balances, um, credit card balances are up 36, 37%, but they still have jobs, uh, and that's what's really keeping things together. And so therefore everybody is being watchful about what they buy, what they don't buy, at what prices. Um, for businesses what we see across our base is the word I would use is stability, um, profits, cash flows are, are stable. Um, one element of it is they're on our platform, so it's biased data, um, digitization is helping them, but what I would say is industries like manufacturing, um, insurance are actually up. Uh, industries like lending, real estate are actually down in profit, so overall it's stable, but depending on country, states, and industry, very, very sector driven. Thank you for that. All right, let's go to the audience for questions, questions for the Intuit fellows. Yes, we've got one way in the back. Your name and who you're with, sir. Thank you. Hi. Hi, uh, Samir Gulati from Zen Business. Um, one of the hardest things about small businesses is actually getting started and the first couple of years, right? A lot of the things that he talked about don't even apply in many cases. Given your position in the industry, how do you think about using AI or the combination of AI and HI to enable that and make it easier? Yeah, it's a great question. Uh, you know, first of all, I'm inspired by what many are doing to help businesses get up and running much faster than they could before, but a couple of tangible examples that I would use, one is, uh, with our platform, uh, once you give us a few pieces of information that we ask for, like what, what are your goals, what are you trying to achieve, uh, and you know, for instance, uh, depending on where you are in your cycle, if you're 30 days in, if you're 60 days in. Uh, we will, in essence, ingest your data if it's website data, if it's data that you put together a business plan on an Excel spreadsheet, whatever it may be, if it's handwritten notes where you can take a picture of, we'll ingest, because first we need to understand what are you trying to do. We'll ingest that and then based on that make recommendations, uh, like if you're make it real, if it's a, if it's a plumber. Then we'll help a plumber with what are the basic things that they need, and then a plumber, they're on the road, they're trying to get business and so being able to estimate and create an invoice with progress payments to get paid right away is the capabilities we enable them with. So really what we can do now that frankly we couldn't. Do before is based on who you are, what you're trying to do, and the millions of customers that we have on our platform that are like you, we can help you with what to get set up with right away because you don't need all the capabilities that we have. Uh, what you need is what's specific to your situation. And then based on leveraging your data because we, we use machine learning, knowledge graphs, a lot of uh data, and of course G AI to help automate tasks, workflows and functions, but we can get you up and started right away and that also teaches us, by the way, what else you may need and that we um. are in the midst of making something generally available where you can do vibe coding and just say here's what I need done and we'll go do it for you. And so a lot of that just helps reduce the time to get started and to get your first customer and to get your first sort of cash flow in your bank account. And once we do that, then you're on a roll and that's really our focus in terms of the benefit for customers to get started. Thank you for your question. All right, gentlemen, I have two quick lightning round questions before we, before we wrap it up here. The first is, um, you've recently signed an open AI deal. Um, are you concerned about controlling your customer relationship given that? Uh, we're very excited about the deal. There are 3 principles that, that, um, are really important. Uh, one is the customer experience and the relationship. When the customer, when we're engaging the customer, they know you're, they're using the Intuit platform. Uh, the second is the customer's data does not leave our four walls. So it's our data, our models that are being trained. So the data and models and the way the platform, uh, behaves matters and just the economics have to matter and the economics are the same for us before and after the deal, so. And the thing that's very exciting with OpenAI is it's, it's the values and relationship we have with them, which is we both want to drive prosperity for the end customer, and I think it's gonna be a game changer in the long term. All right, and then my last one is I'm asking on behalf of everyone here and everyone watching on the live stream, when will AI be able to do my taxes, gentlemen? Well, I don't do AI and HI does your taxes today. We, we have, uh, you know, just to make it real, right, we have, um, millions of customers where AI does a lot of the drudgery for them and then hands it off to a human and the human finishes it for them. So we'll do your taxes today for you. Wonderful. There we go, gentlemen. Thank you very much. A round of applause for them.

As companies increasingly talk about their diversity, equity, and inclusion strategies, how can leadership and boards be persuaded to adopt role-based compensation structures and address areas of bias in the recruiting and promotions process? Our panelists will explore the pressing issues connected to pay equity, the rise of the flexible workplace, rising inflation and compensation, and how pay transparency helps or hurts the transition to equity. Join this timely discussion and explore how to bridge the opportunity gap to eliminate pay disparities and help employee retention. 

In partnership with Credit Karma 

Moderator: Maria Aspan, Senior Writer, FORTUNE  

 

Discussion Leaders: 

Marissa Andrada, Chief Diversity, Inclusion and People Officer, Chipotle  

Angela E. Guy, Chief Diversity and Inclusion Officer, L'Oréal North America 

Colleen McCreary, Chief People, Places and Publicity Officer, Credit Karma 

Bridging the pay equity gap

Leadership

Panelists explore the pressing issues connected to pay equity.

Panelists explore the pressing issues connected to pay equity, the rise of the flexible workplace, rising inflation and compensation, and how pay transparency helps or hurts the transition to equity.

LaFawn Davis, Group Vice President, Environmental, Social and Governance, Indeed 
Francine Katsoudas, Executive Vice President, Chief People, Policy and Purpose Officer, Cisco
Nickle LaMoreaux, Senior Vice President and Chief Human Resources Officer, IBM 
Colleen McCreary, Chief People, Places, and Publicity Officer, Credit Karma

Most Powerful Women 2021 - The Great Hybrid Experiment 

LaFawn Davis, Indeed 
Francine Katsoudas, Cisco
Nickle LaMoreaux, IBM 
Colleen McCreary, Credit Karma

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