Business
5 min read
Why I Walked Away From Google’s Seven-Figure Salary
A former senior engineer explains how anxiety over layoffs and the race to dominate AI convinced him to leave stability behind—and why others may soon follow.
The decision to leave Google wasn’t impulsive, but it wasn’t planned either. For three years, I’d watched as the company’s once-unshakable culture of innovation gave way to a slow, creeping unease. My role as a senior software engineer had grown increasingly bureaucratic, with layers of approval stifling even minor technical decisions. Then came the layoffs—12,000 employees cut in a single January morning, many of them brilliant engineers who’d spent years building the infrastructure that made Google’s products possible. I was spared, but the message was clear: no one was safe. When my annual compensation crossed the $900,000 mark, I realized the money no longer justified the mental toll. The final push came when I saw how quickly AI was reshaping the tech landscape. If I didn’t act now, I risked becoming a footnote in someone else’s revolution.
The calculus of risk had shifted in ways I never anticipated when I joined Google in 2019. Back then, the company’s stock price seemed like a one-way escalator, and the perks—free gourmet meals, on-site wellness centers, the occasional massage—were tangible symbols of a workplace that valued its employees. But by 2023, those perks felt like gilded distractions from a deeper rot. The layoffs weren’t just about cost-cutting; they were a signal that Google’s leadership no longer saw engineering talent as a long-term investment. Projects I’d spent months advocating for were shelved without explanation, and my team’s morale cratered as we watched peers—some with decades of experience—pack up their desks with little more than a severance package and a LinkedIn post to show for it. The financial security I’d taken for granted suddenly felt precarious, like holding a winning lottery ticket in a burning building.
What made the decision harder was the knowledge that I was walking away from one of the most lucrative exits in modern corporate life. My compensation package, which included base salary, stock grants, and bonuses, had grown by nearly 40% in three years. The stock alone accounted for over half my earnings, and while it fluctuated with the market, the trajectory had always been upward. Leaving meant forfeiting unvested shares, a decision that would cost me hundreds of thousands of dollars over the next two years. But money, as it turns out, has a diminishing return on happiness. The nights spent refreshing internal dashboards to check my stock’s performance had become a ritual of anxiety rather than celebration. When I calculated what I’d actually spend in a year—after taxes, savings, and the occasional splurge—the number was far lower than my gross earnings suggested. The rest was just paper wealth, vulnerable to forces beyond my control.
The AI boom was the wild card that tipped the scales. Google had been at the forefront of machine learning for years, but by 2023, the pace of innovation had slowed to a crawl. Internal projects that once moved at breakneck speed now languished in review cycles, hamstrung by risk-averse leadership. Meanwhile, startups with a fraction of Google’s resources were shipping products that captured the public imagination. The release of tools like MidJourney and Stable Diffusion proved that the barriers to entry in AI were lower than anyone predicted, and I worried that Google’s size was becoming a liability rather than an asset. If I wanted to work on cutting-edge technology, I’d have to do it somewhere with less red tape—and that meant leaving the safety of Big Tech behind.
The hardest part of the decision wasn’t financial; it was psychological. Google’s brand is a powerful drug. Telling friends, family, and former colleagues that I was leaving felt like announcing I was quitting a rock band at the height of its fame. The questions came fast: Was I burned out? Had I gotten a better offer? Was I starting a company? The truth was simpler and more uncomfortable: I was afraid of becoming irrelevant. The tech industry has a way of discarding people who cling to the past, and I’d seen enough older engineers sidelined to know that loyalty is a one-way street. If I stayed, I risked waking up in five years to find that the skills I’d honed were no longer in demand. The AI revolution wasn’t coming—it was already here, and I didn’t trust Google to let me be a part of it.
The first few weeks after resigning were disorienting. Without the structure of a corporate job, I found myself questioning whether I’d made the right choice. The financial cushion I’d built over the years was substantial, but it wasn’t infinite. I spent days mapping out scenarios, calculating burn rates, and stress-testing my savings against worst-case outcomes. What if the startup I joined failed? What if the AI bubble burst? What if I simply missed the stability of a paycheck? The doubts were loudest in the quiet moments, but they were drowned out by the excitement of new possibilities. For the first time in years, I felt like I was in control of my career, rather than being carried along by inertia. The fear of missing out had been replaced by the thrill of chasing something bigger.
Looking back, the most surprising lesson has been how little I miss the money. Not because it doesn’t matter, but because the trade-offs no longer feel worth it. The allure of a seven-figure salary fades when you realize how much of your life it consumes—endless meetings, political maneuvering, the slow erosion of autonomy. What I’ve gained instead is something harder to quantify: the freedom to work on problems that excite me, without the overhead of a corporate machine. The AI space is crowded, chaotic, and uncertain, but it’s also where the most interesting work is happening. And if I fail? At least I’ll have failed on my own terms. That’s a luxury no paycheck can buy.
What made the decision harder was the knowledge that I was walking away from one of the most lucrative exits in modern corporate life. My compensation package, which included base salary, stock grants, and bonuses, had grown by nearly 40% in three years. The stock alone accounted for over half my earnings, and while it fluctuated with the market, the trajectory had always been upward. Leaving meant forfeiting unvested shares, a decision that would cost me hundreds of thousands of dollars over the next two years. But money, as it turns out, has a diminishing return on happiness. The nights spent refreshing internal dashboards to check my stock’s performance had become a ritual of anxiety rather than celebration. When I calculated what I’d actually spend in a year—after taxes, savings, and the occasional splurge—the number was far lower than my gross earnings suggested. The rest was just paper wealth, vulnerable to forces beyond my control.
The AI boom was the wild card that tipped the scales. Google had been at the forefront of machine learning for years, but by 2023, the pace of innovation had slowed to a crawl. Internal projects that once moved at breakneck speed now languished in review cycles, hamstrung by risk-averse leadership. Meanwhile, startups with a fraction of Google’s resources were shipping products that captured the public imagination. The release of tools like MidJourney and Stable Diffusion proved that the barriers to entry in AI were lower than anyone predicted, and I worried that Google’s size was becoming a liability rather than an asset. If I wanted to work on cutting-edge technology, I’d have to do it somewhere with less red tape—and that meant leaving the safety of Big Tech behind.
The hardest part of the decision wasn’t financial; it was psychological. Google’s brand is a powerful drug. Telling friends, family, and former colleagues that I was leaving felt like announcing I was quitting a rock band at the height of its fame. The questions came fast: Was I burned out? Had I gotten a better offer? Was I starting a company? The truth was simpler and more uncomfortable: I was afraid of becoming irrelevant. The tech industry has a way of discarding people who cling to the past, and I’d seen enough older engineers sidelined to know that loyalty is a one-way street. If I stayed, I risked waking up in five years to find that the skills I’d honed were no longer in demand. The AI revolution wasn’t coming—it was already here, and I didn’t trust Google to let me be a part of it.
The first few weeks after resigning were disorienting. Without the structure of a corporate job, I found myself questioning whether I’d made the right choice. The financial cushion I’d built over the years was substantial, but it wasn’t infinite. I spent days mapping out scenarios, calculating burn rates, and stress-testing my savings against worst-case outcomes. What if the startup I joined failed? What if the AI bubble burst? What if I simply missed the stability of a paycheck? The doubts were loudest in the quiet moments, but they were drowned out by the excitement of new possibilities. For the first time in years, I felt like I was in control of my career, rather than being carried along by inertia. The fear of missing out had been replaced by the thrill of chasing something bigger.
Looking back, the most surprising lesson has been how little I miss the money. Not because it doesn’t matter, but because the trade-offs no longer feel worth it. The allure of a seven-figure salary fades when you realize how much of your life it consumes—endless meetings, political maneuvering, the slow erosion of autonomy. What I’ve gained instead is something harder to quantify: the freedom to work on problems that excite me, without the overhead of a corporate machine. The AI space is crowded, chaotic, and uncertain, but it’s also where the most interesting work is happening. And if I fail? At least I’ll have failed on my own terms. That’s a luxury no paycheck can buy.