In short
Mutiny’s pivot from a SaaS go-to-market product to an AI-agent “Sales AI” that automates the manual work between sales meetings, aiming to raise selling time from ~21% to mostly customer-facing activities.
Guest
Jaleh Rezaei, co-founder and CEO of Mutiny (co-founded in 2018; refounded in Nov 2025 as a smaller, faster 15-person team; previously co-founded/led growth-related teams at Gusto; YC 2018; engineer background; born in Iran, grew up in California).
Key claims
AI “reasoning engines” made the old SaaS approach feel like a bottleneck; agent products require different optimization (outcomes/evals vs SaaS A/B testing). Mutiny avoids “AI slop” via brand/context extraction, transcript/pricing/security-review integration, memory of prior edits, and rep-editable “one-shot” generation in <2 minutes.
Notable examples
Rep follow-ups/proposals/case-study selection and custom pricing; customers include Snowflake, Uber, Rippling, Figma, plus healthcare/insurance and DHL. She calls the pivot an “upstart moment,” argues founders shouldn’t optimize optics, and cites 12x faster growth and 150%+ month-over-month after launch.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOTransforming Sales with AI
0:46 to 4:00
Discussion on how Mutiny is changing the traditional sales process using AI.
“Today on the podcast, we're going to talk about why salespeople do get backed up in busy work, how AI has upended SaaS as we know it, and how Jala has overcome what she calls Claude's spookies.”
Quality Control in AI Solutions
4:01 to 5:48
Exploration of maintaining high-quality outputs from AI in sales workflows.
“The rep gets a one-shot generation of something that's actually ready to send to the customer.”
User Experience and AI Adoption
5:49 to 7:40
How Mutiny designs its tools for non-AI savvy users and the learning curve involved.
“It just doesn't look like something that your team made.”
Founder's Journey and Product Evolution
7:41 to 10:50
Jaleh shares her entrepreneurial journey and the evolution of Mutiny over time.
“You know, those are the types of folks that are starting to come in.”
Lessons from Gusto and Leadership Insights
10:51 to 14:01
Key lessons learned from working at Gusto and their impact on Jaleh's leadership style.
“No, I didn't know what sales was at the time.”
The Importance of Speed in Growth
14:01 to 16:27
Learn why speed is critical for growth and how to overcome obstacles.
“And that's something that, you know, that I've been using.”
Identifying Market Opportunities
16:41 to 18:24
Explore how unique insights led to addressing market needs effectively.
“Your co-founder, Nikhil, you meet at Gusto.”
Navigating Early Success and Challenges
18:25 to 20:30
Understand the dynamics of early company growth and the challenges faced.
“You could just do whatever you wanted to your website and optimize it for all the different types of customers that were coming in.”
AI's Impact on Business Strategy
20:31 to 22:35
Examine how AI changed business strategies and perceptions of growth.
“Since AI was introduced is when I started to have questions about the business.”
The November 2025 Decision Moment
22:36 to 24:43
Learn about a pivotal moment in a founder's journey and the risks taken.
“walls or like they have to really punch above their weight or go against consensus to make a decisive action that in hindsight has a huge impact on the business or their global impact as a company.”
Show all 21 chapters
Balancing Zero to One and Scale
24:44 to 28:00
Discover the differences and challenges between building and scaling a business.
“One was on the customer side, there was just too much daylight between what we could build and what I knew was possible.”
Business Divergence and Financial Strategy
28:00 to 28:50
Explore the evolution of business strategies and the insights behind diversifying focus.
“And so seeing how they were doing that a couple of years ahead of us, it helped further confirm that how I see the two businesses diverging, it's only going to get more and more that way.”
Navigating Team Changes and Leadership Challenges
28:50 to 30:50
Understand the emotional and strategic aspects of managing team downsizing and refounding.
“You've told me you had a couple of years of runway maybe at this time.”
Pacing and Urgency in Startup Growth
30:50 to 35:00
Learn about the importance of speed and urgency in executing business strategies.
“the only thing you need to focus on is building a successful business.”
Achieving Product-Market Fit Through Focus
35:00 to 37:30
Discover the strategies for achieving product-market fit and optimizing solutions for clients.
“You know, I personally was like, this needs to work.”
Understanding Competitive Landscape and Market Trends
37:30 to 40:00
Analyze the current shifts in the AI market and the importance of specialization.
“We're growing at over 150 % month over month.”
Building a Product with Customer-Centric Features
40:00 to 42:01
Learn how to create products that cater specifically to customer needs and improve user experience.
“The ones that you hear in the news, fastest to 100 million, et cetera.”
Optimizing Go-to-Market Strategies with AI
42:01 to 42:58
Learn how Mutiny uses AI to enhance go-to-market assets and customer engagement.
“And so that's the playbook that we have at Mutiny.”
Building on Experience: Lessons from the Past
42:59 to 45:09
Discover how past experiences and relationships helped shape Mutiny's current success.
“It just makes that editing process really fun as opposed to tedious.”
Streamlining Operations for Faster Growth
45:10 to 46:04
Explore how clarity in roles and responsibilities accelerates startup operations.
“And so I think there's a lot of those things that add up.”
A Bold Approach to Startups
46:04 to 46:14
Jaleh encourages other startups to embrace transformation and leverage past experiences.
Transcript
Automatic transcript. May contain errors.0:00Jaleh Rezaei:Salespeople only spend 21 % of their time actually selling to customers. But a startup called Mutiny is trying to change all that. What's it using? AI agents. Our guest today on the show is the co-founder and CEO of Mutiny, Jaleh Rezaei. Jaleh technically co-founded this startup way back in 2018. But she kind of co-founded it in November 2025 when she burned the ships and refounded the company to be much smaller and move much faster. In my eyes, it's a six-month-old company, seven-month-old company now. We are 15 people. We completely built the product from the ground up. It's a brand new foundation.
0:39And also AI, it's just a very different type of product to build than the SaaS business that we were building.
0:45Jaleh Rezaei:This episode is brought to you by Rippling AI, the only AI built to give you full visibility into your startup and the ability to take action across every department. Today on the podcast, we're going to talk about why salespeople do get backed up in busy work, how AI has upended SaaS as we know it, and how Jala has overcome what she calls Claude's spookies. Plus, we talk about why she believes founders shouldn't worry about optics. I'm Alex Conrad, founder and editor of Upstarts Media, and this is the Upstarts Podcast, our weekly show where we talk to startup founders who are punching above their weight to take on the status quo.
1:20Jaleh Rezaei:Jala, thanks so much for coming on the show. Thanks for having me. So what is Mutiny? We help go-to-market teams, do all of the manual work that it takes to take a customer from cold, doesn't know who you are, all the way to closed and expanding. So one way I was thinking about this, you can tell me if I'm right, is in a way kind of helping those salespeople focus on the actual sales and a lot less of maybe the prep or sort of the other stuff that they have to do when they're not selling. Yeah, exactly. So Salesforce releases this annual report using all of their data and talks through the amount of time that sellers are spending.
2:00And it's about 21 % of their time is spent with customers in selling activities. and then 80 % of their time is spent on all of the other things that you need to do in between meetings. Following up with customers, getting things ready, personalizing everything to their pain points, doing your forecasting, internal reporting, CRM updates, all of that stuff. So our goal is to make it so that they're spending all of their time working with customers and very little time on the non-selling activities.
2:31Jaleh Rezaei:What is the right balance that you're trying to outsource versus have these salespeople still actually know and get ready for to be prepared to do well? Absolutely. So it's very important that they understand the customer's pain points and they are reflecting their deal instinct in all of the things that goes to the customer. So I'm a really big fan of keeping the rep in the loop, but eliminating the unnecessary work. So, for example, when a rep is trying to do follow-ups with customers, they might have had three calls that day and one of the customers asked them for some custom pricing thing and there was just a long discussion that they had about what the ideal pricing proposal would look like for them.
3:17Maybe another customer was an early stage one and they wanted examples of other companies like them and how they're using the product. All of these things, if you add them up, at the end of the day, the sales rep has to sit at their desk and create all of this stuff, go search in the content repository and find the right case studies and figure out if these are the right ones to share with the customer. They have to go manually create all of that proposal and all of these things. They have to go look up their pricing and tailor it, et cetera. The nice thing with Mutiny is that our agent centrally accesses all of this stuff.
3:55And then every time it executes, it just has that information. It's able to create things for them that follows their brand. And it just makes it really easy. The rep gets a one-shot generation of something that's actually ready to send to the customer. But we make it super easy for them to edit it and give feedback and make changes to it so that it is exactly what they believe is going to have the highest engagement rate when it hits the customer.
4:23Jaleh Rezaei:I think that's an important distinction because one shot, the idea that, you know, you're basically just making one prompt and then there's a finished product, that can sometimes be synonymous with lower quality or a less, you know, tailored, less customized answer. Maybe it's a more generic one. God forbid it's AI slop. So how do you make sure that that quality really is high enough that if I'm fine tuning it, it's not redoing the whole thing? Yes, totally. So I have one of the highest bars on quality of customer experience because I think that having led growth teams and sales teams and marketing teams in the past, I think if you don't prioritize the customer, you end up losing in the long run.
5:07And so the only sustainable growth practices are the ones where you are putting the customer first. And that means that the customer is seeing something that hits the nail on the head that immediately resonates with them and their pain points. And so the way that we balance that is, number one, we spend a lot of time on correct brand and context extraction. were the best product, I would say, in the world at applying a company's brand correctly to a wide range of different assets. That piece alone takes forever to edit in a general purpose tool that has some basic brand guidelines and is trying to create something.
5:52It just doesn't look like something that your team made. And I think that visual experience is what contributes a lot to the AI slop. The other things that we do is we deeply integrate with their context, call transcripts, the way they do pricing, the way they talk about their products, how they do security reviews. All of that stuff is captured inside of Mutiny. And we also have memory around how they have adjusted things in the past. And so because of that, we're able to combine those things into something that is really high quality and relevant for the customer. And then on top of that, we let them build playbooks and templates that codify their own specific ways of how they like to do things.
6:40And so then the AI can just use those playbooks to generate for them something that fits exactly the way they approach go-to-market situations. And so it requires a lot less ongoing editing and back and forth because they're able to get what they need a lot more quickly.
6:58Jaleh Rezaei:Are these customers mostly at other tech companies or who is sort of the typical user right now of Mutant News Tools? We work with companies like Snowflake, Uber, Rippling, Figma. So lots of folks in other tech companies, but we're also growing within industries that aren't typically tech. So for example, healthcare companies. We're starting to see some insurance companies. you know, DHL, those types of folks who are not considered traditional tech, but they have people inside the company who want to move faster, who want to get rid of these dependencies, and they want to arm their sales team to run circles around their competition.
7:44You know, those are the types of folks that are starting to come in. And I love customers like that, because one of the things that we've really focused on is ease of use. I think a lot of the first generation of AI products, you actually had to know a lot about AI. You had to understand how it works. You had to be able to figure out how to take human activities and turn it into an AI system. Like this is a skill. This is a routine. These are the things we need to, oh, we should extract these eight things so that our AI can work well on a recurring basis. And a position that we've taken is that we're building for reps and for marketers who are not necessarily AI savvy.
8:27And we want them to just start using Mutiny to automate the repetitive work that keeps them away from their customers. And in the process of doing that, the AI system starts to get populated for them. They start to understand understand how AI works. We start to extract and codify the playbooks. It's like, oh, you just made this thing. Do you want to never do that thing again? Great. We'll save that for you. Versus coming in and being like, okay, here's your blank canvas. What system do you want to build? Most people don't know how to do that.
9:01Jaleh Rezaei:And I know that that was something that you guys had to learn maybe the hard way a little bit, or at least see the user's experience to figure out. And we'll go into that in more depth. But first, I'm curious, do you consider this company more of a eight-ish year company because you started in 2018? Or given how much the product has changed in recent months, is this more like a year one company in your mind? We reset the whole business in November of 2025. So in my eyes, it's a six-month-old company, seven-month-old company now. It really, I mean, we are 15 people. We completely built the product from the ground up.
9:43It's a brand new foundation. We're based in New York and we used to be based in San Francisco and for a long period remote in post-COVID. And also AI, it's just a very different type of product to build than the SaaS business that we were building. So a lot of the way we work, our practices. It just feels very different. And, you know, my co-founder and I joke too, that we also ourselves, we feel like second time founders. Like we feel like when we build Mutiny 1.0, we learned a ton about the market, about how do you hire executives? How do you build the team, the culture? What's the right way to build traction and all of those things.
10:25And I feel like a lot of those fundamentals are now, you know, now that we're building the new mutiny, we're able to just apply them and pull from those learnings a lot more quickly than we were the first time around.
10:38Jaleh Rezaei:You were born in Iran and then you moved to California growing up. Were you dreaming, oh, someday I'm going to make software for salespeople? Was that something that you were always passionate about? Or where do you start your entrepreneurial journey? Ever since I was a little girl. No, I didn't know what sales was at the time. But I am an engineer and both of my parents are engineers. They actually met in engineering school in college. And so I always liked building things. I don't think I shied away from that. And I couldn't tell you where this came from. Maybe my dad was an entrepreneur. Perhaps that was a part of it.
11:18But post-college, I always wanted to start a company. So even when I was working at companies, I was like, oh, like, I really want to start my own thing one day.
11:28Jaleh Rezaei:What made it appealing? I think I like the fact that the buck stops with you and you get to go and build a whole organization and team around something that you really believe in. And I like the creativity involved in every aspect of it. So the creativity of understanding your customers, translating that into a product, building the brand. And it's very multidimensional and it keeps my brain engaged. So I like that. I don't know if I had those words at the time. I think I'm mostly reflecting back on that experience. I think at the time I was just like, I want to start my own thing. And I actually went to business school to do that.
12:12So I'd been working for three years. And then I was like, oh, business school, it's going to be so easy. I'll just go have a great time and start a company. And while I was in business school, you know, I dabbled with all sorts of different things. And then I did an internship at Sequoia and talked to real founders building real businesses. And I was like, oh, that's different than what I'm doing.
12:38Jaleh Rezaei:So you were one of the first dozen or so employees at Gusto, which has become a very large, you know, established software unicorn, working with a ton of companies and customers. being part of a sort of really hyper growth or at least very consistently growing business like that, having that early seat along the way, what lesson do you think that prepared you the most for with being a startup founder later? I would say a couple of things. One, Gusto has incredible founders. I think Josh, Tomer, and Eddie are all wonderful. And one of the things I learned from them was the importance of thinking about your customer and working backwards, especially in moments of uncertainty where you don't know where the market's going and what's happening.
13:26You can always find your feet on the ground if you think about who's the customer, what are their pain points, what is their ideal situation, what do they want to happen. And then the execution and the sausage making of how you do that, that's the technology piece. And those are the things that can really shift. But you can give yourself a lot of conviction if you like deeply understand the biggest, darkest problems of your customer and can see a solution for how you might solve that. So I got to see us apply that to a lot of things at Gusto. And that's something that, you know, that I've been using.
14:04And then the other thing was I ran sales teams, marketing teams, support CX. And across all of it, the common thread for me as a leader was when I hired good people and then I figured out how to help them move as fast as possible, that's when we grew the fastest. So if I were to simplify everything around growth, like channels and all these different things. It really just comes down to speed. And the reason, you know, I learned that was by initially not having it. So I would set really aggressive goals. I'm a big fan of aggressive goals, ideally with goals every week. So everyone can see, you don't want to get to the end of the quarter and realize that you're going to miss.
14:52So every quarter you can see, every week you can see I'm missing my number. And so when we would miss those aggressive goals, I would ask the team, well, why did you miss the goal? What happened? And every time I would get answers that was like, well, we had this idea, but we couldn't do it. Like the web team needed to do this, the design team that we were waiting for marketing or sales did. And it was just the answer was always dependencies, handoffs, you know, other teams that we were waiting on. And so the way we solved that was we started, you know, we brought design into the marketing team.
15:29We built out a growth engineering team with engineers, PMs, product designers fully dedicated to our revenue goals. We made a lot of process optimizations to help people move faster. And every time I made one of those changes, my team would get much better at growth.
15:47Jaleh Rezaei:These days, you can chat with AI about almost any business problems. Rippling AI is built to actually solve them. That's because Rippling AI is built on your live workforce data. That gives you full visibility into your startup and the ability to take action across every department. Say you have a new hire starting Monday. Just ask Rippling AI to get them set up and it will provision their laptop, grant them access to your systems, assign their onboarding tasks, and loop in their manager. But it doesn't stop there. Rippling AI can flag missing paperwork, set up their first one-on-ones, and make sure they're ready to ship on day one.
16:22Jaleh Rezaei:All you have to do is tap confirm and get back to building. Don't settle for AI that's all talk. Head to rippling.ai slash upstarts and get AI that turns insights into action. That's R-I-P-P-L-I-N-G dot AI slash upstarts. Sign up for exclusive access today. Your co-founder, Nikhil, you meet at Gusto. You guys go through Y Combinator in 2018. You're tackling this problem. speeding up everyone's lives, removing these blockers through software, right? Why was there a market opportunity there? Why wasn't one of those big companies like Salesforce already offering this kind of tool? So, I mean, a lot of this comes back to having a unique insight as an entrepreneur, right?
17:07And when we were building Gusto, it was just so clear to me that speed was the growth advantage. and my co-founder, he was, you know, he was like one of the rising stars on the engineering leadership side. And as most good engineers, he's very commercial, right? Good engineers always want to know what's happening with the money inside of a company. And so he was, you know, he started talking to me about why are you guys always needing engineers? Why do you guys come in on Saturdays and try to help us recruit engineers? Why can't you just do your job without our department. Because as an engineer, you can do whatever you need all by yourself, right?
17:47You don't need marketing to be able to build your product, right? And so we started talking about it and all of the limitations and examples that I shared with you. And, you know, he became equally fascinated from the other end of it of, oh, I want to build a product that enables, you know, everybody in go-to-market to be able to move at the speed of their ideas and have a huge impact on their company. That's how it all started. And in terms of the opportunity at the time, so this was pre-LLMs, website felt like the biggest market that we could go after with the technology available. We had figured out a way to make it so that you didn't need any code, any engineers.
18:29You could just do whatever you wanted to your website and optimize it for all the different types of customers that were coming in. There was a lot of really interesting new data sources that were becoming available, that were making it more possible to understand every single customer and tailor for them, et cetera. And our plan was to expand beyond the website to all of the different parts of the buyer's journey. So that's how we got started.
18:55Jaleh Rezaei:So Sequoia, where you had done your cup of coffee, they invest. Seemingly, things go very well. You hit eight figures in ARR, which could be anything north of 10 million, I guess. But sounds good. good and vague, and you start working with these exciting companies, right, like Snowflake, DoorDash, et cetera, did it feel like things were generally going pretty easily? Was there a part that was really hard that you had sort of figured out in that first phase of the company? I saw this meme that basically says the founder life, and maybe you'll identify with this now that you're a founder, is you oscillate between I'm a genius to, oh my God, I'm an idiot.
19:35Every decision ever made was wrong. And then you go to another meeting and it flips you back and forth. And a big part of it is just, you know, having fun with that journey.
19:45Jaleh Rezaei:In this phase where you get venture backed, you guys are growing the revenue, things look like they're great. We're setting up this shocking moment in November 2025 that we've been dancing around where you burn all the ships. But as you're building these ships, did it feel like, hey, we have product market fit, things are great, this is going to be a huge company. What was the vibe like inside Mutiny? The vibe was really good. And you go off of the market signal, right? And so customers were growing. NDR was good. Retention was really, really good. I think retention in our market is normally 70 % or below.
20:21And we had 90 % logo retention. And then NDR was significantly higher than that. And so all of those signs were really great. And the team was growing all of that. Since AI was introduced is when I started to have questions about the business. Initially, it was exciting because we were doing a lot of AI. We called it machine learning at the time for a throwback term. And we were using AI and that was great. And we had these big plans that once we served lots of people, we would be able to learn across all of them and do all of those things. And so initially, it was really exciting. There was all these bottlenecks for our customers, especially around copywriting for the website that just felt immediately much easier with an AI tool.
21:14And then once we were about a year in, it started to become clear that AI was a reasoning engine. I want to say it was around 2024, sometime then. And once it started to become a reasoning engine, the SaaS business felt, it didn't feel like wind in our sails. It actually felt like it was holding us back because you would have all these ideas for how to automate things for customers, which was always our vision, right? Eliminating all these dependencies, letting them move fast. But then you had to somehow mush it with the existing business and be like, oh, okay. I wasn't allowed to think about how can we use AI to solve the customer's most important problems?
22:01Instead, we had to think about how can we use AI to accelerate the business that we have today? And I could see the incredible opportunity if we could just not have any blockers and constraints and be able to just build from scratch to solve our customers' problems, the problems that I experienced when I was leading these teams at Gusto. And so that's when, you know, I would say beyond that point is when I started to feel a little bit of, hey, like, I don't think what we're working on makes sense.
22:34Jaleh Rezaei:We talk about on the show this upstart moment where a founder maybe feels really back to the walls or like they have to really punch above their weight or go against consensus to make a decisive action that in hindsight has a huge impact on the business or their global impact as a company. Tell me about this November 2025 upstart moment where you're walking with your co-founder. I went on a walk with Nikhil, my co-founder, on the Hudson River, and I had come to the conclusion that we needed to make all these changes. and I knew that he had also been thinking a lot about it, but he wasn't there yet.
23:14And so this talk was really about, hey, like we got to go make this change. And we both care a lot about people. And so I knew this would be hard for him. You know, I think the other thing that's hard about it is when you start a company, the expectation is failure, right? Everyone tells you, you can't build a great product. Oh, you probably can't hire great people. You can't get good investors. You'll never get your A. You'll never get your B. You'll never build a brand. And we had done all of that. And so it's really hard to accept that you're going to burn that to the ground for the possibility of a better future.
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23:55And I think what really got him and me previously over the hump was that we felt like it was the only way to get fast and be the best player in the market at the problem that we were solving. You couldn't argue with that. Having lived through that pain of the slowness of every day showing up, putting 150 % into the company and getting 30 % out, that's a really real feeling every single day. 50 one-on-ones about alignment. We knew that that was taking away from the building process. And I think he thought about it and was like, all right, I guess this is what we got to do. To even give you a little bit of context on like why the change, we did try to build an agent business, an AI native business inside of the company.
24:52We just couldn't make it work. And there was kind of two reasons. One was on the customer side, there was just too much daylight between what we could build and what I knew was possible. And I was really eager to accomplish our mission. Then the second piece of it was that building a zero to one product is just a fundamentally different game than running a scaled business. In zero to one, my co-founder has this great term of it's a benevolent dictatorship. Founders hold all the context in their head and they make really fast nonlinear calls. And while it may feel chaotic, if you zoom out, you just see the product, wow, it's getting better so quickly every month.
25:41Jaleh Rezaei:And you need that clarity of purpose of the benevolent dictator at that point. Yes, because you need to sit in the sales calls. You need to sit in the customer support calls. You need to try to grow the account and renew the accounts. You need to be in the room building the product. You need to understand every part of the company to be able to very quickly identify where the problems are. Otherwise, it would just take like 20 years of doing customer interviews, you know, if you weren't operating off of those gut instincts. So that's the zero to one journey. The scale journey is all about people, process, communication, delegation, ownership, and all of those things.
26:22So, you know, you hire PMs and designers and rightfully so they want to own stuff. Right. And so then you come in and you're like, no, we're canceling this roadmap. We're going to build this other thing instead. It just causes a lot of thrash and all of that stuff. There's just so much friction that every insight and idea has to go through when you're trying to do zero to one and you need to move at that pace. But you have to run it through the frictions of a much larger scaled organization. And so we tried all sorts of isolation. At some point, like we even were like, okay, let's not sell the old product.
26:58We'll just service it and it'll be this cash cow that will fund the new business. And at the end of the day, we were just constantly holding two businesses in our heads. Every decision had to be calculated through those two things. And so there was not really any good precedent around this. I mean, you know this. Intercom was the best story we had. And I definitely spend a bunch of time with the Intercom founders. I think they were really, really helpful in helping me, you know, arrive at the decision.
27:27Jaleh Rezaei:Was there like one thing or one piece of advice or thing they said as you thought through this that was particularly helpful that you remember? Well, they made it very clear that it was going to be really, really hard and that these two businesses are very, very different. So as they started to because they were further ahead at implementing. Right. And so, you know, they're going through. OK, here's how the way, for example, you optimize your SaaS product is very it's like A-B testing UI and things like that. The way you optimize an agent product is it's based on outcomes and evals and it's just a very different process.
28:01And so seeing how they were doing that a couple of years ahead of us, it helped further confirm that how I see the two businesses diverging, it's only going to get more and more that way. And then, you know, the other thing was, I remember having this long conversation with Des about how to think through it. Should we isolate? Should we deprecate? And, you know, and he was going through all of that. Okay, well, here's how I would think about it. And at the end of that conversation, I kind of concluded there's really no good reason for us to keep the other business. We have the cash. We can fund the investment and we can be a lot more efficient with the way that we use the cash that we have if we are really nimble and small and don't have any of these frictions to deal with.
28:51Jaleh Rezaei:But that's interesting. I mean, have the cash. Important piece. You've told me you had a couple of years of runway maybe at this time. Something like that. No, much more than that. You had years of runway. Exactly. You have Sequoia, Tiger, Insight, all your investors behind you. Yes. For a startup that maybe doesn't have that luxury, they might want to keep the product on just to fund the transition, right? They might need the revenue? So this is a hot take, but I don't think that they do. If you think, so we did YC, right? And in YC, I saw people get to product market fit with two or three founders and very little money, like a couple of hundred thousand dollars of money.
29:35I don't think you need a lot of people to get to product market fit. And a lot of times having lots of people just slows things down and makes it so that context is now split across more people. And so I would say if you're a founder that, you know, if you have six months of runway, I get it. But if you have the money that a seed stage company can raise in the bank, you can get there.
30:06Jaleh Rezaei:Okay, but then what about the fact that you are a Series B company with this cool office? You have, I think, at peak maybe over 100 employees. Now you're at 15. So a lot of folks have left. And it was poignant for me, at least when I was researching this episode, I went back and I saw these launch videos you guys did last year. and it looked like really good vibe, high energy, but some of the people in the video talking about why Mutiny is so great no longer work at Mutiny, right? They were let go in November as a layoff. So was that hard? How did you kind of navigate that human and team side of this refounding?
30:45The thing that I've come to learn during this journey is that as the founder, especially in the CEO role, the only thing you need to focus on is building a successful business. And the optics, if you get caught into the optics and optimizing for those, you basically are just spending your resources on the wrong problems. And if the business isn't good, you lose all of those optics eventually anyway. And this is hard for founders, right? Because you are on a roller coaster. And sometimes founders look for external validation, right? Of, okay, well, if I have a lot of people or if I have investors or whatever, it means that I'm doing well.
31:33But really, the only thing that matters is, are you serving a really large market of customers and do they love your product? And those are all of the signs of whether you're building a successful business. I think Gary Tan at YC had this really good example of the chart that you don't want to show anybody and you want to hide is the chart you should bring as the first slide of your board meeting and then talk about it, admit it, and fix it. And so that's my biggest lesson, like, throughout all of this. And ultimately, there wasn't really any precedent. I didn't have any other examples of other companies that had done what we did.
32:12But from first principles and having tried other alternatives, I was certain that this was the only path forward. And so, you know, in talking to my co-founder, I was like, we know how to do zero to one. We know how to do one to 10, 10 to 100. And let's just get out of our own way. You know, let's not try to defy the laws of product market fit physics. There's a reason it works like that. There's a reason YC has a playbook. There's a reason every startup starts small and follows sort of that approach. It just works better. It's faster. That's how we ended up at that decision.
32:51Jaleh Rezaei:So you lean into the maybe tough optics or the tough emotions of downsizing the team, refounding, we're all going to be in the office, small team. And I will say, Alex, like in terms of how do you execute that, it's very painful. And I almost like I have to really go back and look at my calendar and read the docs and reconnect with the emotion. Because like once I got through it, you like burn it. You're like all about the future. I get it. That's a founder's requirement, right? Yeah, exactly. Exactly. But I think something that we did well is we were generous in departures. We were generous with customers.
33:33We were generous with employees. And I think that that's a really important thing to do. You know, that's a playbook from my gusto days that I've taken with me to Mutiny. And a lot of people would say, you're a startup. You know, you can't really do that. And I just disagree. I think that we should be generous in those moments. And I think as a result, like a lot of the customers ended up buying our new product. And a lot of our employees are now customers of Mutiny. They all have leadership roles at other companies and they're buying the product. And we got to like really build and maintain an awesome community still around us.
34:11So if you're a founder trying to think through some of these hard decisions, you know, it doesn't mean that you have to do it in a way where, you know, it's awful for everybody involved.
34:22Jaleh Rezaei:I was going to say, I think the proof in the pudding there has to be that you get over a thousand signups for the new product before it's out. Right. including some really big tech companies that either were customers or prospects of the first version, right? So if you had burned all the goodwill alongside the bridges, that probably wouldn't have happened, right? Yeah. So why did everybody sign up? Why has this product been growing like crazy, you know, in the few months that this agent first mutiny has been out there? You know, day one, post-November 2025 pivot, we are in the office working together around the clock.
35:02You know, I personally was like, this needs to work. Like, I am pouring everything I have into this. And like, I know it'll work, but we're going to have to work our asses off. Every hour mattered. One of the things that I try to bring to the table is I do have a really good sense of urgency and timing and pacing for the company. And so if things aren't fast, it just like it kills me. I can feel it.
35:26Jaleh Rezaei:Which is what was bothering you back at Gusto, the whole idea in the first place, right? Yeah, exactly. So I like I love speed. I think speed is the only thing that matters. And if we're building something and somebody else is building that thing and they're make they're getting to the correct answer faster than us, we're going to lose. We just iterate it so fast and really embedded ourselves with customers. I think, you know, coming into it, like we just had a lot of knowledge about what these teams wanted and all of the automations, all the things that they wanted to do that they couldn't do in our previous product.
36:01And so we were, you know, we definitely had that advantage. And we just worked our, you know, asses off to make sure that we got to market with something that we were really excited about. And a couple of things that we did from a product standpoint that I think really helped was we created a lot of focus. So we said our goal is really high quality one shot generation in less than two minutes. And the reason we cared about that goal was that if we could get to that point, then you could build a whole suite of automation on top of that. In go-to-market, you need a combination of data and experiences.
36:42Data was very much a solved problem with AI. Experiences was completely unsolved. So we said, we're going to tackle the hardest part right out of the gate, and we're going to be the best at it. The amount of time my co-founder and the engineering team spent on brand extraction and brand evals and being able to correctly understand a customer's brand and apply it to any type of asset was remarkable. But then at the end, because of that simplicity, came a product that just solved a problem that wasn't solved. And it did it better than anything else that was out there. And I think that's what got a lot of our initial buzz when we released it.
37:20Jaleh Rezaei:Is the product still growing faster than the original one? I know when you launched, you talked about how it basically blew the original 2018 numbers. Yeah, 12x. Yeah, 12x faster growth. We're growing at over 150 % month over month. When we think about the long-term future of this business, you've talked on LinkedIn about Claude's spookies. Yeah. What keeps you from getting spookies about Anthropic or OpenAI saying, hey, great idea, yoink, we'll do it ourselves? Yeah. So I think we're in this interesting moment in time where, like last year, every investor was like, the application layer, that's the most lucrative layer and, you know, throwing billions of dollars at it.
38:00And I think for the past couple of months, LLM model companies have basically released some general purpose capabilities that genuinely can do a much wider range of tasks, right? And so it's raised this question of should we build or buy, right? Every customer, rightly so, feels like they have to at least go through that intellectual exercise of making a decision. But if we, before we even get into the details, like if we zoom out and think about the first principles of it, do we believe that a group of really smart people can take a general technology and then pour their heart and soul into understanding a specific set of customers and evolve that technology for their specific needs and use cases?
38:51And that if they do, that output might be better than the general purpose technology. I think the answer is, fuck yes, right? And we have a lot of history to support this, right? And so I think we are all going to snap back to common sense soon enough. But we're just in this interesting point in the market where the shift has happened and we haven't yet seen the correction from all the vertical players. And so my belief is that there's obviously the model companies are going to be huge and there's going to be that layer. And then I think we'll have vertical AI companies on top of that that themselves are$10 billion companies that are focusing on lucrative, large markets that have lots of specialized needs and they don't have the time to go and, you know, reshape the general purpose technology into every single process and things that they need to optimize.
39:50So what I did to overcome my cloud spookies was I went and looked at all of the fastest growing vertical AI companies. The ones that you hear in the news, fastest to 100 million, et cetera. So like the Lagoras and the Sierras and the Abridge and all of these companies. And I actually wrote a post about it too with more details. I listened to founder podcasts and their head of go-to-market team, CROs, talking about the business. I watched all of their product videos, and I also looked at all of their customer feedback online. Anything that's available online, let's hear what the customers are actually saying.
40:29What I saw across all of them was three very clear trends. The first one was workflow-native UX, second, proprietary data, and third, platform plays. For example, workflow native UX. If you are serving lawyers who spend all of their time in a work doc, what can you build as a plugin that is just going to do the five things that they're doing over and over again and just make that job really good in your product, right? lots of examples of just data sources that the customer needs that are too niche for LLM training data. And so taking the extra mile to go and integrate those things into the product or codify the customer's playbooks around that particular vertical and make it so that you have this compounding value where, you know, after using the product for X amount of weeks or months, it just really doesn't make sense for you to shift over.
41:29And then the third piece that I saw was around platform was that in every case, they had gone broad, meaning they started solving a subset of problems for their customers, but they very quickly took advantage of the broadness of agents and LLMs to solve a much wider range of problems for their customers, in some cases, even integrating other tools in the ecosystem for certain jobs that requires even more specialization than what they had. And that feels really intuitive to me. I think that makes a ton of sense. And so that's the playbook that we have at Mutiny. We're thinking across all three of those layers.
42:11And I'll give you an example. We talked about the importance of go-to-market assets for go-to-market teams. Everything you do, there's something that the customer has to see, right? When you try to create those in an LLM, it's off-brand, which we talked about. But also, you can't edit it. It's all in code. And so you want to move something. You want to make a quick change. That last mile editing takes hours and is so frustrating.
42:40Jaleh Rezaei:And kind of defeats the purpose of using the LLM in the first place. So they're really good at very quickly generating you something that's 80 % there. And then you want to pull your hair out by the time you get this thing into something you can actually put in front of a customer. And so we spend a lot of time having a very specialized editor that's built for this purpose. It can generate really high quality, but you can edit things. You can click into it. It just makes that editing process really fun as opposed to tedious. And then in terms of proprietary data, we also track all of the engagement on these customer-facing assets.
43:15because in go-to-market, you're constantly trying to figure out how do I get more engagement from my customers, right? How do I get their attention? And so now we have contact-level analytics on all of these assets that not only is it valuable by itself to our customers because they want to know what happened, but also our agent can now use that to make smarter decisions about, you know, what's the next thing it should make to have high customer engagement.
43:40Jaleh Rezaei:My final question to kind of go the whole arc here. I know that in November 2025, you're talking to your co-founder and I think one question you guys asked each other was, if we were applying to YC today, would this previous business be what we would apply with? Or is it this future business that you've now built? Having gone through this whole process since 2018, do you think that Mutiny has an advantage as a 15-person new startup today, even with a cap table of all these investors, maybe a previous valuation to hold over yourselves? Do you think you have a head start and an advantage today than if you were the younger versions of the two of you just starting fresh?
44:22Jaleh Rezaei:Totally. I think we have a huge advantage in terms of market knowledge and brand reputation in the market. I'll give you an example. I think it took us three years to win Snowflake the first time around, right? There was a period where it's like, we're not even going to ask because we're just so not, you know, good enough for them. And then you try and you lose and, you know, and then you go back and you're building a relationship. Snowflake was one of the first customers of this new product. We showed them what it looks like. Their VP looked at it and was like, we're deploying that. I could have never done that in Muni 1.0, right?
45:03We just didn't have the relationships. We didn't have the reputation that we could build something and that we could be trusted as a company. And so I think there's a lot of those things that add up. I think hiring is another really big one. I just feel like I have such clarity of thought on what we need in a head of product. What do we need in the first AE? What do we need in growth? Should we build this function or wait? You know, all of those things take a lot of time and create a lot of friction for founders that distract from focusing on the core business. I feel like almost all of my energy right now, it's all on customers and the products that we're building.
45:44And the rest of the stuff is just a lot faster. And then you still have the really fun stuff of thinking about how do you, where are areas where you should create new playbooks, where the market's totally changing and you have to be really creative. So you still have that creativity itch as a founder, but you just waste a lot less time.
46:03Jaleh Rezaei:So maybe more softer startups should take the plunge and burn the ships and start over again with that scar tissue, with that knowledge to go faster like you have. I highly recommend it. Thanks so much for coming on the show, Jala. Thank you for having me, Alex.
From the publisher
Salespeople have a problem: they only spend 21% of their time actually selling to customers.
Founder Jaleh Rezaei set out to fix that – and business was booming. Her startup, Mutiny, reached $10 million-plus in revenue for software that helped take some of the busywork out of the sales process.
“When you start a company, the expectation is failure,” she says. “It’s really hard to accept that you’re going to burn it to the ground for the possibility of a better future.”
But the CEO now believes that re-founding Mutiny, including painful layoffs and firing all of its customers, was the best thing she could do. The reborn business now uses AI agents to automate away that pain, allowing sales reps to set custom pricing and share peer case studies with just a prompt. It’s growing 150% month over month.
On The Upstarts Podcast, Rezaei shares why follow-ups are the sales killer; how AI is disrupting software; and how she got over ‘Claude spookies’ about the big labs.
Plus, she shares her Upstart Moment: convincing her co-founder to start over again, on a fateful New York walk.
CHAPTERS
00:00 Introduction
2:41 An AI agent for sales
7:04 Why an AI ‘blank canvas’ doesn’t work
10:38 Jaleh’s founder journey and Gusto lessons
17:01 Mutiny’s early software success
22:51 Jaleh’s Upstart Moment: tearing it down
24:42 Why you can’t rebuild a business halfway
27:15 Intercom’s founders share valuable advice
30:44 Focus on the business, not the optics
34:53 ‘Speed is the only thing that matters’
37:40 ‘Claude spookies’ in the AI app layer
43:59 Second-time founder advantage
For more, visit https://www.upstartsmedia.com/
Season 2 of the Upstarts Podcast is presented by Rippling
Produced & edited by Eric Johnson from LightningPod




