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Some experienced engineers and technology leaders are leaving large tech companies for startups, but the available evidence does not show a representative, industry-wide exodus. The appeal is often greater ownership, learning, and product influence; the trade-off is less certain compensation and security. Separately, startup capital is flowing heavily into AI, with hiring growth also showing up in hardware, medical devices, healthtech, and SaaS. Those investment figures describe startup funding and hiring—not where departing employees personally invest.
Is senior tech talent really fleeing Big Tech?
There are documented examples of experienced workers leaving large technology companies, and recruiters and interviewees describe recurring reasons for doing so. But the evidence here comes from personal accounts, recruiter observations, and startup-platform data—not a representative survey of senior employees. It does not establish a current aggregate departure rate or prove that Big Tech is undergoing a mass exodus.
The time period matters. A recruiter’s 2022 observations came amid falling public-company stock values and that year’s hiring conditions. Interviews published in 2024 describe individual decisions in a different company environment. Carta’s 2026 figures describe funding and employment patterns among companies using its platform. They illuminate different parts of the story; they are not one continuous measure of talent movement.
Why are senior engineers leaving Big Tech?
Instability and organizational frustration can push people out
In interviews published by The Pragmatic Engineer in October 2024, engineers and engineering leaders described layoffs, changing workplace culture, internal politics, and limited advancement paths as reasons they reconsidered large-company roles. One Google engineering manager said small, unpredictable layoffs and cultural changes made the company feel less secure to him. These are personal accounts, not evidence that every large technology employer or employee has the same experience.
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Crimson Talent’s 2022 retrospective, based on conversations with dozens of senior engineers, also describes frustration with impact being diluted in large organizations and with flatter compensation trajectories as public stock prices weakened. Its observations reflect a recruiter’s network, not a population-wide survey.
Startups can offer scope, learning, and visible impact
At an early-stage company, a senior hire may help set product direction, make foundational architecture choices, or take on a leadership role that would be harder to obtain in a large organization. Interviewees cited the chance to learn, have more ownership, and see a clearer connection between their work and the product. Crimson Talent particularly noted the appeal of making foundational decisions at Series B or C companies.
For one example, Luiz Santana, a former Google tech lead manager who left to cofound a German health-tech startup, described the importance of a cofounder/CTO role with equity, a viable funding runway, and trust in his cofounders. That account illustrates the ingredients that made one move possible; it does not establish that those conditions are typical.
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A startup’s equity can create upside, but it is not the same as liquid public-company shares or guaranteed cash compensation. Large companies may also offer stronger brand recognition, work at enormous scale, and a degree of perceived risk protection. Santana captured that trade-off in his own decision: “Staying at Google is lower risk – even with layoffs – than joining a startup is.” The quote describes his judgment, not a general comparison that applies to every company or offer.
Where do senior engineers go after leaving Big Tech?
Other large technology companies
Leaving one large tech employer does not necessarily mean joining a startup. Crimson Talent’s account of its 2022 placement data and network conversations estimated that roughly one-third of the senior Big Tech engineering departures it observed went to other large technology companies. This is a directional estimate from one recruiter’s placements and network, not a current or national share.
Late-stage and AI-native startups
The same Crimson Talent account estimated roughly one-third went to late-stage or AI-native startups. Pragmatic Engineer’s discussion of founding-engineer sources, drawing on employment-change data from Live Data Technologies, says four of the five largest technology companies were among the top sources of founding engineers for smaller companies. The reviewed account does not provide the chart values or enough methodological detail to name a ranked list or quantify the flow.
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Advisory, board, and fractional roles
Crimson Talent estimated that roughly one-third of the departures it observed in 2022 moved into advisory, board, or fractional work. These roles can let experienced people apply their expertise across organizations rather than take a conventional full-time startup position. Again, the estimate reflects that firm’s 2022 observations, not a broader labor-market distribution.
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Where are startup funding and hiring going?
Startup investment is a related but separate question from where former Big Tech employees work. Carta’s report, published May 4, 2026, describes companies on its platform; its figures should not be treated as a complete measure of all startup funding or hiring.
| Measure | Reported figure | Scope and period |
|---|---|---|
| Share of startup investment going to AI companies | Roughly 40% in 2025; 54% in early 2026 | Every dollar invested in startups on Carta’s platform |
| AI/ML engineers’ median initial equity grant at startups valued at $1 million to $10 million | Up 64% over two years | Startups on Carta’s platform; period reported in Carta’s May 4, 2026 report |
| AI/ML engineers’ median initial equity grant at startups valued at $10 million to $25 million | Up 52% over two years | Startups on Carta’s platform; period reported in Carta’s May 4, 2026 report |
Hiring signals extend beyond AI
Carta also reported 2025 hire-to-departure ratios across common startup industries. A ratio above 1 means hires outnumbered departures in the reported platform data; it does not show how many jobs were added across the whole economy.
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| Industry | 2025 hire-to-departure ratio |
|---|---|
| Hardware | 1.7 |
| Medical devices | 1.4 |
| Healthtech | 1.4 |
| SaaS | 1.4 |
Many startups are operating with leaner teams
Carta’s platform data also points to smaller teams rather than a broad hiring boom: average Series D headcount was 131 in 2025, down 29% from its 2023 peak; average Series B headcount fell from 53 to 45; and the median seed-stage team had four employees. These figures help explain why startups may prize technical leverage and experienced hires without adding large numbers of roles.
Cost discipline is another part of the environment. In a 2024 survey of 350 technology leaders in North America and EMEA, AlixPartners found that 70% were pursuing sustainable profitability over the next 12 months. The report also says technology companies in those regions reduced headcount in 2023. This measures executives’ goals and reported company actions, not the reasons individual employees left.
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Are senior venture investors leaving large firms too?
There is a separate trend involving senior venture capital investors departing large funds to start or join smaller firms. An April 2025 account in Inc. describes specialization and regionalization among the themes, including interest in narrower areas such as AI intersecting with the physical world. These are investor career moves, not evidence about where engineers leaving operating companies go.
How should a senior engineer compare a startup offer with a Big Tech role?
The reported trade-offs point to questions worth resolving before accepting an offer. None produces a universal ranking; the right balance depends on a person’s goals and tolerance for risk.
- Cash and equity: Compare cash compensation with the equity grant, and ask how the equity could become liquid and what assumptions underpin its potential value.
- Role and authority: Clarify what decisions you will own, what leadership scope comes with the title, and how much influence you will have over product and architecture.
- Runway and financing stage: Understand the company’s funding runway and stage, and how those affect its ability to execute its plans.
- Team and trust: Evaluate the people you would work with and whether you trust the founders and leadership to make difficult decisions.
- Impact and advancement: Ask what outcomes you are expected to deliver, how success will be judged, and what a growth path could look like.
- Practical fit and downside: Consider location and work arrangement alongside what would happen to your finances and career plans if the company fails.
The strongest explanation is not that senior talent is uniformly abandoning Big Tech. Some workers seek more influence, faster learning, or a larger role; others move to another large employer or into advisory work. Startup dollars, meanwhile, are especially concentrated in AI in Carta’s platform data, with hiring signals in several other sectors. These are connected market stories, but the available evidence does not link each worker’s destination to the sectors receiving startup investment.
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