Choosing between offers? In a startup vs big tech developer career, big tech suits engineers who want higher, predictable pay and a defined ladder, while a startup suits those who want broad ownership and faster promotion, accepting lower base pay and equity risk.
For the wider picture of startup work, see working at a startup as a software engineer. If you are still unsure about leaving a stable employer at all, read should I join a startup as a developer first.
Decision criteria to settle before comparing offers
Offers are easier to compare once you know which trade-offs you can live with. Work through these in order, because each answer narrows the next.
- Decide how much of your pay must be guaranteed. Cash and liquid stock behave very differently from options in a private company. Your answer sets how much startup equity you can count at all.
- Set your tolerance for long weeks and shifting priorities. Hours and the number of hats you wear change sharply with company size.
- Choose between depth and breadth. A narrow scope builds specialist depth. A wide scope builds range quickly but spreads your attention.
- Pick a growth model. You can climb a documented ladder with a predictable rhythm, or take a larger jump on a less certain path.
- Judge how much risk you can absorb. A startup can leave you with worthless options, while a large employer is not risk-free either.
Side-by-side comparison of typical offers
The table puts typical European base pay and the main structural differences next to each other for the same experience level. Treat the ranges as typical bands, not guarantees, and expect individual offers to fall outside them.
| Criterion | Big tech | Startup | Planning use |
|---|---|---|---|
| Entry-level base pay (Europe) | €70k–90k | €40k–70k | The gap is widest where cash matters most, so check rent and savings before accepting. |
| Senior base pay (Europe) | €120k–180k | €90k–150k | Ranges overlap, so a strong startup offer can match a modest big tech one. |
| Equity | RSUs, liquid once they vest | Options, worth something only if the company has an exit | Count RSUs at their vesting value and discount options heavily. |
| Promotion rhythm | Clear path of roughly 2–3 years | Jumps possible in 6–12 months | Startups can be faster, but only if the company survives and grows. |
| Role scope | Single role, defined scope | Many functions, in dev teams of 5–15 people | Choose by whether you want specialist depth or range. |
Pay bands, promotion rhythm and scope come from Next Level Jobs, and the equity liquidity comparison comes from the HackerX tech salary guide.
Day-to-day work
A big tech engineer usually works inside a single role with a defined scope, while a startup engineer covers whatever the product needs that week. Next Level Jobs describes the startup version as being the infrastructure team, security team and data science team all rolled into one, usually inside a small team of 5–15 people.
Large employers tend to narrow the work further. One LinkedIn comparison of startups and big tech notes that at big tech you might be very focused on company-specific technology. That depth is valuable inside the company, but it may transfer less cleanly than general-purpose skills.
Ownership also depends on timing. According to StartupSearch, the earlier you join a company, the more autonomy and ownership you will have. A very early startup hire gets the most of both, and a mature startup can feel closer to a large company.
Pay and equity compensation
Big tech pays more in total, and most of the difference sits in equity and bonus rather than base salary. The HackerX tech salary guide gives the example of a senior engineer at a FAANG company reporting a $200,000 base salary but total compensation over $450,000 once equity and bonus are included. It puts senior base pay at $180–250K, with $350–500K total at top companies, and mid-level total pay at $250–350K at public tech companies including RSUs.
How restricted stock units work
Restricted stock units at public companies typically vest over 3–4 years, and a one-year cliff is common, meaning no shares vest before that first anniversary. Because the shares are public, they are liquid once they vest and you can see their value from the start, as StartupSearch also notes. To compare offers fairly, divide the grant value by the number of vesting years to annualise it. Bonuses at large companies are typically 10–20% of base, and they are less common at startups.
How startup salary and equity compare
Startups pay less upfront. In Europe, Next Level Jobs puts the gap at about 25–30% lower base salary. Startup options are worth something only if the company has an exit. The HackerX guide warns that equity can end up worth nothing and advises treating it as worth much less than its headline value. A startup offer therefore has to stand on its cash, with any equity as a bonus. For the cash side, see our guide to early stage startup developer salary.
Hours and work-life balance
Startups tend to ask for more time. Next Level Jobs describes startup weeks of 50–60 hours with several tasks juggled at once. That is a reported pattern, not a measured average across all startups, so ask directly what a normal week looks like at the company you are considering.
Flexibility is a separate question from hours. The same source reports that 77% of startup employees work hybrid, usually 3 days at home each week. It also says many big tech firms let engineers work 100% remote or mix it with office time. Neither employer type has an advantage on remote work, so a defined role scope may matter more for protecting your evenings than the location policy does.
Career growth
Growth is faster at a startup in the best case and more predictable at big tech. Next Level Jobs describes a clear promotion path at big tech and possible jumps of 6–12 months at a startup. Large employers publish ladders, such as Microsoft’s engineering levels, which run from IC levels 59 to 69, with Distinguished at 70 and above. A ladder like that tells you what the next step requires.
Big tech also invests in learning. The same source mentions a training budget of $5,000+ per year, which is a concrete benefit for engineers who want structured development. At a startup, growth comes from ownership instead: you take on problems nobody else is there to solve. Because ownership shrinks as a company grows, the earliest joiners gain the most from that route. Those gains depend on the company reaching an exit, since options pay off only then, according to the HackerX guide.
Who should choose which
Choose big tech if you value liquid, easily valued pay, a defined scope and a documented ladder. It also suits early-career engineers who want a training budget and a clear definition of the next level.
Choose a startup if breadth and ownership matter more than base pay, and you can live on the cash offered. Join early if you want the most autonomy, and pay close attention to how much of the offer is salary rather than options.
Wait, or negotiate harder, when a startup offer leans on equity you cannot value or the base sits at the low end of the range. Consider big tech first if you are carrying financial commitments that need steady income. Moving from big tech to a startup later is a common route, and by then your savings and specialist depth reduce the risk.
Frequently asked questions
| Question | Answer |
|---|---|
| What counts as a big tech company in this comparison? | StartupSearch suggests most large tech companies, with 5,000 employees or more, offer a fairly similar experience. FAANG firms are the best-known examples. |
| Where can I check pay for my specific role? | The HackerX guide recommends using Levels.fyi, Glassdoor and Blind to check pay for your specific role and level before negotiating. |
| Is a big company job safer? | Job insecurity is less likely to be a significant risk at a big company than at a smaller one, according to StartupSearch, though layoffs still occur at large employers. |
