Equity at Seed, 401(k) by Series C: What 28,414 AI Startup Job Postings Reveal
By Fast AI Startup Jobs
Two lines sit near the bottom of most startup job descriptions. "Competitive equity package." "401(k) with company match." Candidates skim past both on the way to the salary band, if there is one.
Read them together, across enough postings, and they turn into something more useful than a benefits list. They tell you roughly how old the company's HR function is, and what the company thinks it is competing on when it tries to hire you.
We pulled the benefits language out of 28,414 deduplicated open roles at 1,824 AI startups. 8,615 postings advertise equity. 4,477 advertise a 401(k). At Seed, about one in four companies that advertise equity also advertise retirement. By Series C it is two in three.
One caveat has to come before any of these numbers mean anything. This is disclosure data, not benefits data. An extraction pass reads the public job description text and records what the company chose to write down. A startup that offers a perfectly good 401(k) and never mentions it in the posting counts as absent here. So none of what follows measures who has a retirement plan. It measures who bothers to advertise one, which turns out to be the more interesting question.
What 28,414 postings actually advertise
| Benefit mentioned in posting text | Postings | Share of 28,414 |
|---|---|---|
| Equity / stock options | 8,615 | 30.3% |
| 401(k) | 4,477 | 15.8% |
Neither number comes close to how many AI startups actually grant equity, which is very nearly all of them below Series C. Options are table stakes for a startup hire. What varies is whether the company treats equity as a selling point worth typing into the posting. Fewer than a third do.
Across the whole dataset, 401(k) mentions run at roughly half the rate of equity mentions. That aggregate ratio of 52% is the least interesting fact in this article, because it averages together companies at wildly different points in their lives. Split it by funding stage and it moves a lot.
The ratio climbs with the round
These counts are companies, not postings. A company appears in a column if at least one of its open roles mentions that benefit.
| Stage | Companies advertising equity | Companies advertising 401(k) | 401(k)-to-equity ratio |
|---|---|---|---|
| Pre-Seed | 3 | 1 | 33% |
| Seed | 62 | 16 | 26% |
| Series A | 212 | 119 | 56% |
| Series B | 179 | 103 | 58% |
| Series C | 106 | 71 | 67% |
| Series D | 48 | 29 | 60% |
| Growth | 8 | 10 | 125% |
Two rows in that table are noise. Pre-Seed is three companies and one company. Growth is eight and ten. Percentages calculated on samples that small are arithmetic, not evidence, and we would rather say so than let the 125% do rhetorical work it hasn't earned.
The stages with real sample size are Seed through Series C, and there the line only goes one direction. Sixty-two Seed companies advertise equity. Sixteen advertise a 401(k). Series A more than doubles the ratio to 56%, Series B holds at 58%, and Series C reaches 67%.
Notice where the jump happens. Not gradually across the whole curve, but in one step between Seed and Series A, where the ratio roughly doubles. Everything after that is a slow drift upward.
Why Seed to Series A is the break point
A 401(k) is not a decision, it is infrastructure. Someone has to select a plan administrator, wire it into payroll, handle nondiscrimination testing, and remember the filing deadlines every year. That someone is a People Ops hire, or a PEO the company pays to be that someone.
Seed companies with fourteen employees usually have neither. Benefits are whatever the founder set up in an afternoon on Gusto, and no founder writes a paragraph about that in a job description, because it isn't what they are selling. They are selling the round, the team, and the option grant.
Series A is when that changes. The company crosses thirty or forty people, hires its first dedicated recruiter or HR generalist, and starts competing for candidates who are leaving Google rather than dropping out of a PhD. Retirement matching enters the posting because it is now something a candidate might reasonably compare across offers.
So the 401(k) line functions as a maturity marker. When it appears in a job description, the company almost certainly has a benefits function, a payroll system that is not a spreadsheet, and a hiring process with more than one interviewer in it. Good to know before you take the call.
What Seed is actually selling you
At Seed, compensation talk is equity talk. The 401(k) barely exists in the posting text, and the salary is often below what a company two stages older would pay for the same work. What you are offered instead is a claim on an outcome nobody can price yet.
The money behind that claim is real, at least. Crunchbase reported that global startup funding hit a record $510 billion in the first half of 2026, with AI capturing most of it. That is the pool that lets a fifteen-person company hand out option grants and describe them as competitive.
It is also exactly why candidates keep getting paid in promises of upside. When capital is this available, the cheapest currency a startup has is the story about what its shares will be worth. Our analysis of seed-round inflation found the stage label itself has stopped meaning much: a "Seed" company might have $475 million in the bank and no product. The equity line in the posting tells you nothing about strike price, refresh policy, preference stack, or how many years of runway the round actually bought.
Ask about all four before you weigh the grant against a salary number. And if you want to see which companies are willing to put equity in writing at all, we keep a live list at AI startups offering equity, ranked by how many of their open roles disclose it.
Reading the four combinations
Most postings say nothing about either benefit. Subtract both groups from the total and at least half the dataset mentions neither, which is its own kind of information: silence is the default, so any mention at all was a choice.
| What the posting says | Reasonable read |
|---|---|
| Equity, no 401(k) | Early and cash-constrained. The comp story is the exit. |
| Both | Series A or later. Benefits infrastructure exists, comp is structured. |
| 401(k), no equity | Competing on stability, or the grant is too small to sell. Ask which. |
| Neither | The most common case. Says nothing at all. Ask both. |
The third row deserves more suspicion than candidates usually give it. A posting that advertises retirement matching but never mentions options is not automatically a bad offer, but it does raise a question worth asking directly in the first call: is there a grant, and what percentage of the company does it represent? Some later-stage companies have quietly moved to cash-heavy packages with token equity. That may be exactly what you want. It should not be a surprise you discover in the offer letter.
The fourth row is the one to stop over-interpreting. More than half of all postings in our dataset skip both lines. That is usually a copywriting habit, not a benefits policy.
What this means for your search
Use funding stage as the frame, then read the posting against it.
If you are targeting Seed companies, expect the equity conversation and prepare for it. Get the number of shares, the total outstanding, the strike price, and the most recent preferred price, then do the arithmetic yourself. Do not accept a percentage without the denominator. Our breakdown of the biggest AI funding rounds of 2026 is a reasonable place to calibrate what a large round does and does not imply about a company's stability.
If you are targeting Series A and later, the presence of a 401(k) line is a mild positive indicator about operational maturity, and its absence is nearly meaningless. Sixty-seven percent at Series C still leaves a third of companies at that stage saying nothing about retirement while running a plan.
Either way, the benefits section is a weak signal read alone and a decent one read in context. It sits alongside the other things a posting quietly discloses about how a company operates, like whether the role is genuinely remote. Our look at remote AI startup jobs covers how often that particular label survives contact with reality.
You can filter open AI startup roles by the disclosure signals we extract, including equity, and see for yourself how the language shifts as you move up the stages.
Methodology
The data comes from the Fast AI Startup Jobs dataset: 28,414 deduplicated open roles across 1,824 tracked AI startups, as of August 2, 2026. Funding stage data covers 97% of companies in the set.
Benefit mentions were extracted by an LLM pass over the raw text of each public job description, producing binary flags for equity and 401(k) disclosure. The stage table counts companies with at least one posting mentioning a given benefit, which is why the company totals per stage do not sum to 1,824. The ratio column is 401(k)-mentioning companies divided by equity-mentioning companies at that stage.
The most important limitation is the one stated at the top, and it applies to every number here. These are disclosure rates, not benefit-provision rates. A company that offers a 401(k), matches generously, and simply does not write about it in its job postings is counted as absent. Absence of a mention is not absence of the benefit. What the dataset captures is what companies choose to say to candidates, which is informative about what they believe they compete on, and not much else.
Two rows are too small to support conclusions. Pre-Seed covers three equity-mentioning companies and one 401(k)-mentioning company. Growth covers eight and ten. The 125% figure at Growth means ten companies and eight companies. It is consistent with the direction of the rest of the curve and it is not, on its own, evidence of anything.
Postings are sourced from major ATS platforms including Ashby, Greenhouse, and Lever. Companies that post only on their own sites, or on platforms we do not track, are absent from the sample, which tilts the dataset toward companies structured enough to run an ATS. Deduplication removes repeat listings of the same role across boards, so a company advertising one job in four cities appears once.
Data sourced from fastaijobs.com as of August 2, 2026. We analyzed 28,414 deduplicated open roles across 1,824 tracked AI startups; funding data covers 97% of companies.
Related: When a $2 Billion Seed Round Is Normal explains why the stage label on a company tells you far less about its maturity than it used to, and why the equity number in your offer needs a denominator before it means anything.