Jan 04, 2025

Mindset Behind $50B in Revenue

Interview with Surojit Chatterjee, Founder of Ema

Founder Focused

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At a Glance
  • Who: Surojit Chatterjee is the founder connected with Ema. The interview places Surojit Chatterjee's background and working perspective beside the decisions discussed, giving founders and operators a concrete view of the experience, responsibilities, and lessons that shape this conversation across an ambitious company journey.
  • What: The interview examines how Surojit Chatterjee moved from Google and Flipkart to building Ema as a universal AI employee. It follows Surojit Chatterjee's choices about customers, product, teams, and growth, showing how evidence shaped the work as the opportunity developed and what founders can learn from the process.
  • Lesson: Surojit Chatterjee argues that a career of ambitious experimentation that grew Google's mobile ads business to 50 billion dollars in revenue. The interview turns that principle into guidance for founders, showing how to question assumptions and learn from evidence. The lesson is disciplined action tied to a clear problem.
In this interview, Surojit Chatterjee explains how Surojit Chatterjee learned to challenge company norms, test ambitious ideas quickly, and build Ema around repetitive enterprise work. Readers will learn how the discussion connects that problem to concrete decisions about customers, product, teams, and growth. The conversation offers practical guidance for founders and operators on testing assumptions, responding to evidence, and choosing the next step when the path remains uncertain.
Watch the full interview now on EO's YouTube channel! Below is the complete transcription of the interview. Minor edits have been made for clarity and readability.

Key Takeaways

Smart People Can Figure Out Unfamiliar Problems
Surojit Chatterjee moved from engineering through MIT and Google product management before co-founding Google's mobile ads team, which grew from zero to $50 billion in revenue. His path shows how a broad technical foundation can become an advantage when ambitious roles demand rapid learning.
Conviction Turns Impossible Ideas Into Experiments
When click-to-call ads faced resistance, Surojit Chatterjee launched the feature to 50% of users instead of waiting nine months for statistical significance. He accepted personal accountability, showing how conviction becomes useful when it is paired with a bounded experiment and willingness to learn.
Leaving Comfort Can Restart Your Learning
Surojit Chatterjee left a successful Google mobile ads role because comfort made him worry he would never leave. At Flipkart, mobile-first commerce and difficult roads forced him to learn new logistical and technical problems, demonstrating why deliberate discomfort can renew a leader's growth.
Culture Requires Intentional Choices and Hard Calls
After seeing Google culture become distracted by unrestricted discussion, Surojit Chatterjee argues that leaders cannot run a company as a popularity contest. Preserving culture requires a clear stance, deliberate hiring, and the willingness to make unpopular decisions when people no longer align with the organization's priorities.
Design Partners Reveal Whether Demand Is Broader
Ema began with enterprise customers as design partners, giving Surojit Chatterjee early evidence of need while exposing which features were reusable and which were custom. He recommends talking to enough customers to recognize patterns, then staying focused in stealth until the product is ready.
AI Employees Could Expand Small Teams' Impact
Surojit Chatterjee imagines companies where human employees work alongside AI employees, allowing very small teams to create enormous impact. His long-term vision extends the universal AI employee beyond task automation toward a conversational operating system for enterprises.

Introducing Surojit Chatterjee, founder of Ema

I am Surojit Chatterjee. I'm founder and CEO of EMA. The full name of the company is Enterprise Machine Assistant EMA. We built EMA as what we call a universal AI employee. So the idea is EMA can collaborate with human employees and take a lot of the repetitive, tedious tasks that humans do today in enterprise.

From a Small Indian Town to the Top of Google

So I grew up in in India. I went to one of the top technical institutes in India called IIT. I was an engineer in early years of my my journey. Got a business degree from MIT. I was confused that oh, should I be a consultant investment banker? And it took me a little bit of time to realize, no, I am a technologist at heart and I need to go back and just focus more on technology.
Quite lucky to get to Google. In the early days, I had no idea what product management was before joining Google, to be honest. And I was an engineer at a business degree. I interviewed at Google and they said, you can be a product manager and hired me. They told me, oh, your first job will be in actually payments and billing and fixing their Google's payments product.
I have no idea what it is. I'm like, yeah, that's fine, just go learn and figure it out. That was really interesting for me, that kind of culture where we hire really good people, really smart people, and we believe they can figure out anything. I was very lucky to had the opportunity to actually co-found Google's mobile ads team.
So another engineer and myself, we started very modest team working on mobile advertising at Google grew that business from 0 to $50 billion in revenue. See, at Google I built stuff that were many times incredibly hard to build. Many people told me they were impossible to build. This happens all the time in larger companies because people someone will try the product that you are trying to build before, and they might have failed.
They'll tell you, oh, no, no, don't try it. It already failed. So far, my biggest learning was, you know, how to take on a very ambitious idea, a belief in my conviction, belief in my gut on those ideas and really risk it all. I would always go to work. I would tell my team, you know, I'm ready to be fired today, but not doing anything unethical or illegal, but pursuing my idea when I was running mobile ads.
So I came up with the idea of click to call ads. There's a button to call. You can call the advertiser directly that now it's a multi-billion dollar business for Google. You would think it's the most obvious idea today, but for some reason there was a tremendous resistance internally. We wanted to go and experiment in Google.
You experiment everything, and Google had this massive experimentation framework to launch anything you need to get like significant volume, like you need to show a statistical significance of your feature. And at that time on mobile, the number of users were really low. So if we just follow the norms of Google at that time, which is large desktop business, the mobile features will take at least nine months or a year each to gather enough data to launch.
That just seems like too long. And the the mobile industry is moving really fast. We can't wait that long. Let's make a mistake and turn this feature on for 50% of the users. And how long would it take? Like okay, only just a few weeks. If somebody finds out, of course they will find out. I'll take the blame. And what are they going to do, fire me?
Maybe that's that's fine. So we made a mistake and launched that feature 50%. Of course, I had to go and explain what happened, but then actually it is working really well. Let's not launch it. And a lot of things we had to do in early days was breaking the norms. When you build a lot of success, you create some norms for that success, and that becomes an inhibitor for the next success because those norms is actually stopping you from innovating.
So everything I did on mobile, I had to break a lot of norms. There were many, many projects I did. There's enormous internal resistance. Google has really smart people, right? If a bunch of smart people are vehemently against my idea, I think there is something good in it that actually gets me fired up to pursue that idea.
I think the conviction on your ideas is very important. Attribute of a product manager of of any leader, right? Of course not. Stupid conviction, but conviction to the extent that you want to take it all the way and test it out. That's how I have lived my career, trying out things that often seemed contradictory and often seemed out there a little bit.

Success Lives Outside Your Comfort Zone

I was running mobile ads at Google, doing extremely well. I got promoted many times. It was the fastest growing and largest business at Google at that time. You would think there is no reason to leave. Back of my mind. I was getting a little worried that I will never leave. It's kind of so comfortable in some way.
I've done well and that was kind of worrying me a little bit that, oh, I may become like a lifer and I just want to learn. Always learn more. But the Flipkart thing was completely serendipitous. I was visiting a bunch of customers in India. What was curious was the Indian customers like Flipkart and others at that time had already made the leap to mobile.
So India was a mobile first company. They skipped the desktop generation, so a lot of the e-commerce was 90% of the GMV or the net. The net revenue was from mobile, which is very different from developed markets, where at that time it was still 90% was on desktop, or maybe 80% was on desktop. So it was great to see that. I was very curious about that.
Going back to India and meeting a lot of these customers, I thought, this is the kind of completely different thing that I could do from Google. It's a different country, very different business. I would just learn a lot. India was the last place where e-commerce should have gone in those times. So if you think about it, the three ingredients for e-commerce internet, electronic payments and logistics.
So at that time, very few Indians had credit cards or debit cards. The road infrastructure was very poor. So Flipkart as a company had to take on this enormous challenge of the infrastructure of the country to build e-commerce for a billion people. So how do you get a product like a village in India? Second tier, third tier town in India?
We had to design special trucks that were thin, that could go through small lanes and alleys. So we had to solve a lot of those technical challenges, logistical challenges. That was really amazing learning for me. So Flipkart actually got into an agreement to get bought over by Walmart. That was kind of the motivation for me to come back and rejoin Google.

What Made Google an Unenjoyable Workplace

Running a company is different from popularity contest. You cannot please everyone and whenever if you try to please everyone as you grow your company, then you will definitely degenerate your culture the next three years at Google. When I ran shopping, Google was becoming a place which was not very enjoyable to work anymore. Google had actually, as a company, changed dramatically from cultural perspective.
Some of the things that were very positive about Google had degenerated into being very negative. So Google was a place where people would always express their opinion very freely. People could discuss anything, but you can take that to an extreme and then discuss anything and everything that is outside the scope of Google's main mission or the business, and everybody is distracted.
So I felt actually very fortunate to leave Google, have done something else. I've seen something different. At every stage of growth, there is a risk that your culture will degenerate because you are hiring new people. You have to learn how to work in a in a different setting and so on. So you have to be very aware and very deliberate, very intentional to maintain culture.
In fact, you have to take a stance that this is our culture. If you as an individual don't align with our culture, there are other opportunities out there, other options out there. Yes, it's possible to maintain the culture, but you have to be ready to be unpopular, make hard calls, and be very intentional about maintaining the culture.

How to Find Your Perfect Startup Idea

Look, I have run very large teams, grown teams in companies like Google, Coinbase, Flipkart, some of the best companies in the world. And one thing that always bothered me. We hired really talented people, but then a large percentage of their time was still spent in repetitive work. So the idea behind Ema is can we automate most of the mundane tasks people have to do in enterprises anfsd free them up to do more value added, more creative tasks in our journey.
First thing is we worked very closely with customers very, very early on. So we built the product, actually working with multiple customers as design partners. So from the get go, we knew there is there is a need. We knew if you build it, at least there are a few customers. And I think the trick is to figure out, okay, are this the only customers who will use it or there is a broader demand.
So you have to talk to enough customers to recognize patterns and make sure, okay, whatever you are building is not too custom for this given customer. You may have to do some custom work for your hourly customer, but you have to be very clear eyed on which part of your product is a platform that can be reused and which part is.
Maybe you are customizing a little bit for some of your early customers. The other advice I will give to any startup founder or particularly a I founder focus on building nothing matters. We kept the company in stealth for a year. We did not announce our fundraise. We didn't announce an incorporation. So funny story. Some of our employees in India will complain that.
What do I tell my parents? Why do I work? It was just stealth and there is no website. We kept it under radar and stealth just so we can focus and not get distracted by by everything that's happening. You know, there's too much noise out there. You can spend your entire day on Twitter and talking to many people and getting too much wisdom.
You, of course, want to absorb that and look at what's happening in the world, but you have to have your own conviction and you have to block it out and focus. That's so important because when you build a great product, everything else will fall into place. See, our long term vision is we'll be a conversational operating system for every enterprise out there.
I think there will be a future where in every company, a team of human employees will work with a team of AI employees. That's the world we envision, where a companies with very few people actually being able to create enormous impact, 100 people, company making $1 billion in revenue. How about a ten people company making $1 billion revenue, or even a one person company making $1 billion in revenue or more?
I think we will be able to enable that in the future, where a few human employees will work with a group of AI agents and AI employees like EMR to build really large companies.

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