Big Tech vs. Startup Salary — Which One Actually Pays More?

The framing question: are you comparing offers, or lifestyles?

The Big Tech vs. startup decision is often framed as a pure compensation comparison, but that framing usually hides the more important question: what do you want the next four years of your working life to look like? Big Tech offers structure, mentorship, brand, and predictable compounding of both career and cash. Startups offer scope, ownership, speed, and a lottery-ticket equity upside. Neither is universally better. Both attract exceptional people. The question worth asking is which environment matches how you learn, how much risk you can tolerate, and what your five-year plan actually is.

Once you've been honest with yourself about that, the compensation comparison becomes tractable. Big Tech pay is essentially deterministic — the RSU value is the RSU count multiplied by a share price you can look up, and refresh grants follow predictable formulas. Startup pay is stochastic — the equity is worth whatever the company is worth at a future liquidity event, which is a random variable with a very fat left tail. Modelling those two things on the same axis requires you to discount startup equity heavily by the probability of a successful outcome.

Cash comparison — the number your bank cares about

Big Tech mid-level cash (base + realistic bonus) in the US in 2026 lands around $200,000–$280,000. Startup mid-level cash at a Series B or later company lands around $160,000–$220,000. Seed and Series A companies typically pay $130,000–$180,000 in cash for the same experience level. The gap is real, but smaller than most candidates expect at growth-stage companies.

The catch is that Big Tech cash includes RSU vesting that hits your W-2 as ordinary income. Once you count RSUs, the effective annual cash a Big Tech mid-level engineer takes home is $300,000–$500,000 (RSUs are ordinary income at vest — you can sell immediately with no tax penalty and treat them as cash). Startup ISO/RSU compensation, by contrast, is illiquid until a tender offer or exit and cannot be spent on rent.

Payroll timing also differs. Big Tech RSUs typically vest quarterly or monthly. If you rely on RSU cash to hit your savings targets, that quarterly bump in your brokerage account looks and feels like a bonus. At a startup, all compensation between exits is base + occasional bonus, which is simpler to plan around but caps your total-cash annual income at the base + bonus number until the exit.

Equity comparison — the math you cannot skip

Big Tech equity value at grant is knowable within a small margin of error: shares × share price. A Google new-hire grant of 500 shares at $170 is $85,000/year in vesting value at that share price. If the share price falls 20%, your grant is worth $68,000/year; if it rises 20%, it's worth $102,000. This variance is meaningful but bounded within a couple of standard deviations.

Startup equity value is a probability-weighted future outcome. A 0.15% ISO grant at a Series A company valued at $80M post-money is worth $120,000 today at the current valuation — but that's the current fully-diluted value, not the future exit value, and not the value you can realize until the company either goes public or is acquired. Empirical outcome distributions for VC-backed startups are heavily skewed: roughly 65% return zero to their common shareholders, 25% return 1x–5x, 8% return 5x–20x, and 2% return 20x+ (with the tail of that 2% doing most of the work for VC returns).

Do the base-rate math. If your 0.15% grant is worth $120,000 at current valuation, the probability-weighted expected value (assuming the distribution above) is something like $200,000–$400,000 over four years — not the $1M-plus that founders and recruiters like to imply. And that expectation is dominated by a low-probability high-value tail; the median outcome for your grant is closer to $50,000, or often zero. This is not a criticism of startup equity as an asset class; it is a warning that you should not treat startup equity as if it were Big Tech RSUs.

For a fair comparison, discount startup equity by 60%–85% depending on stage. A seed-stage grant is worth roughly 15%–25% of face value on a probability-weighted basis. A Series C-plus grant with strong recent metrics is worth 40%–60% of face value. A near-IPO late-stage grant with visible secondary-market pricing is worth 60%–80% of face value. Apply these discounts before you compare offers.

Learning curve, scope, and career capital

Compensation is not the only thing an offer is buying you. It is also buying you four years of experience, a resume line, a network of coworkers who will keep employing each other for the next 30 years, and a set of technical and organizational muscles that will shape your effectiveness at your next employer. These are not vague benefits; they translate into future compensation.

Big Tech offers deep specialization and world-class technical infrastructure. If you want to work on planetary-scale distributed systems, ML infrastructure with trillion-parameter models, mobile OS internals, or ads-and-search relevance, there are very few places outside Big Tech where you can do that at the required scale. The tradeoff is that your scope is likely narrower than an equivalent role at a smaller company: you own a subsystem, not a product.

Startups offer broad scope and speed. A senior engineer at a Series A company might own the entire backend, the deploy pipeline, the on-call rotation, and half of the product design. That breadth is enormously educational and looks great on future resumes. The tradeoff is that you spend a lot of time reinventing infrastructure that Big Tech has already built. If you already have Big Tech infrastructure experience, a startup is a great next move; if you haven't, joining a startup first can mean skipping foundational skills your future teams will assume you have.

Career capital compounds. A four-year stint at a MAG7 employer at mid-level typically translates into offers at senior levels at strong startups, at $80K+ base bumps, and with meaningfully larger startup equity grants. A four-year stint at a successful Series B company can translate into staff-level Big Tech offers if the company has raised its brand meaningfully. Optimize for the four-year outcome, not the sign-on bonus.

Benefits and total rewards — the hidden dollars

Big Tech benefits packages are worth $25,000–$50,000 per year on top of cash and equity compensation. 401(k) matches average 4%–7% of eligible earnings, health insurance premiums are usually fully paid, and secondary benefits (mental health, fertility, wellness, transit, meals, parental leave) add up. Startups typically pay for the base health insurance package but do not match 401(k), do not offer wellness stipends, and have much smaller parental leave allowances.

If a startup offer has base + equity that looks 'close' to a Big Tech offer, add the benefit delta before signing. A $20K/year benefit delta over four years is $80K in real value — often enough to tip the decision.

Taxes and stock treatment — where offers diverge

Big Tech RSUs are ordinary income at vest. There is essentially no tax planning available beyond selling immediately (or holding for long-term capital gains, which requires a year of holding after vest and creates concentration risk). Withholding is usually 22% at the federal statutory supplemental rate; you will owe more at filing if your marginal rate is higher.

Startup ISOs (incentive stock options) have very different tax mechanics. Exercising ISOs while the strike price is close to the fair market value creates an alternative-minimum-tax (AMT) event equal to the spread. If the spread is small at exercise (early exercise or early-stage grant), the AMT can be manageable; if the spread has grown 10x, the AMT can be crippling. Talk to a CPA before you exercise ISOs at a startup; the difference between exercising early with a 83(b) election and exercising at IPO can be six or seven figures in tax.

Startup RSUs (used at some late-stage private companies) are usually structured with a double trigger: vesting starts on the standard four-year schedule, but the tax event is deferred until a second trigger event (usually IPO or acquisition). This is generally favorable to the employee — you don't owe tax on paper gains you can't sell. But it also means startup RSUs have zero cash-in-hand value between grant and liquidity event.

Risk-adjusted comparison — the model to actually use

Here is a defensible model. For each offer, compute four-year totals: (1) base × 4; (2) target bonus × 4 × probability-of-payout (0.9 for Big Tech, 0.5 for startup); (3) Big Tech RSU vest value × 4 (using today's share price, plus a modest refresh grant assumption); (4) startup equity value × probability-of-successful-exit × discount-for-illiquidity. Add benefits delta. Subtract taxes.

For a specific example: Big Tech mid-level offer of $200K base, $30K bonus, $150K/year RSU vest, $30K/year benefits → $1.72M four-year gross. Startup Series B offer of $170K base, $15K bonus, 0.1% equity in a $500M-post company → $180K/year cash + $500K face-value equity × 30% discount for stage × 100% four-year vesting → $170K/year × 4 + $150K = $830K four-year gross plus a tail-risk chance of a much larger outcome.

The Big Tech offer is worth roughly 2x the startup offer in expected value. That is a large gap. It does not mean the startup offer is wrong — the tail risk is real, and the scope and learning may be worth the delta. It does mean that if a candidate frames this as 'the offers are close' they are almost certainly not close on cash-adjusted expected value.

When the startup offer actually wins

There are three scenarios in which a startup offer beats a Big Tech offer on expected value. First, when the startup is exceptional (2%–5% probability outcome, top-decile founder, unique category leadership, visible IPO trajectory). Second, when the role at the startup is materially larger than the equivalent role at Big Tech (leading a function vs. contributing on a team). Third, when your personal cash-flow situation allows you to absorb 3–5 years of below-market cash for the upside.

If none of these three apply, the Big Tech offer usually wins on expected value. But 'wins on expected value' is not the same as 'is the right choice'. If you are early in your career, the learning curve at a great startup can accelerate your trajectory in ways that show up on your salary in the next role rather than the current one. If you are late in your career, the compensation stability of Big Tech can matter more than any equity upside. Match the choice to your career stage and your appetite for variance.