I checked whether “using AI” actually pays at YC startups. It doesn’t | CoderScreen<br>Skip to main contentGitHubGet Started

Back to BlogThere is a specific anxiety running under a lot of engineering-career talk right now: do you need "AI" on your resume to keep getting paid? CoderScreen builds coding interviews, so rather than guess, I went and checked. I scraped every open engineering role on Y Combinator's Work at a Startup, 2,652 jobs across roughly 1,400 startups, with the salary, equity, required experience, and full description for each, then looked at what the roles asking for AI actually pay.

The lazy version of that check says AI pays. Jobs that lean on "AI-native" language come in about 9% higher, and I almost wrote that down as the finding. But pull the numbers apart properly and the premium evaporates. Naming Cursor or an OpenAI API in your stack turns out to be worth almost nothing. What actually pays is the hard stuff underneath the AI: infrastructure and machine-learning systems. Getting to that answer meant first working out how these startups pay at all, and that was the more surprising part. Salary barely moves between roles. The real money is in equity, and it is wildly uneven.

A few things to keep honest before the numbers. This is one snapshot from July 2026, not a trend over time, so every comparison here is between roles as they are right now, not across years. YC startups skew early stage and AI forward, so read this as a leading indicator rather than the whole market. And equity here is a percentage with no valuation attached, so I only ever talk about the spread and the direction, never dollars. A bigger slice of an unknown number is not automatically more money.

With that out of the way, here is what 2,652 job posts say about how startups actually pay engineers, and why "knows AI" is not the line that moves the number.

Almost every role pays about $170K

Here is the median base salary by role, for the jobs that list one in dollars.

Median base salary by role. Ignore the managers and every individual-contributor role fits inside a $20K band.

Set the engineering managers aside, since they are the only group that clearly breaks the pattern, and the entire spread of IC salaries is about $20K. Backend and machine learning sit at $175K, full-stack at $170K on a big sample of 1,177 roles, frontend and DevOps at $155K. Whether you are the ML person or the frontend person, the number a startup quotes you lands in the same narrow band.

There is one asterisk worth naming and not leaning on. Remote roles run about $25K lower than onsite ones, $150K against $175K at the median. That is real, but it is tangled up with geography and role mix, so I would not read it as a clean "remote penalty."

The takeaway is almost dull: the kind of engineer you are barely moves your cash. So if salary is this flat, the differentiation has to be hiding somewhere else. I sorted the same jobs by their equity grant.

The real variable is equity

To take salary out of the picture, I looked only at the jobs paying between $150K and $185K, so cash is roughly held constant, and then looked at nothing but their equity. There were 407 of them.

Equity offered inside one salary band. Same paycheck, and the grant runs from 0.1% to 2.3%.

From 0.1% to 2.3%, roughly a 40x spread among people earning the same salary. The cash barely varies and the ownership varies by a factor of forty. To say it plainly, since this is a percentage with no valuation behind it: I am not claiming the 2.3% person is forty times richer. I am saying the thing startups actually differentiate on is equity, not cash, and they differentiate on it enormously.

A range that wide is not random noise. It is structure, and most of it comes down to two things.

Two words move your equity more than any negotiation

The first is a single word in the job title. Roles with "founding" in them pay the same base as everyone else and hand out exactly twice the equity.

TitleMedian baseMedian equityHas "founding" in it$170K1.0%Everything else$170K0.5%

Same cash, double the ownership. That one word is worth more than any salary negotiation you are likely to win.

The second lever is the one nobody expects. More seniority does not just raise your cash, it lowers your equity.

Experience asked forMedian baseMedian equityNew grads OK$155K0.8%6+ years$190K0.3%

Going from new grad to senior adds about $35K in salary and cuts your equity by more than half. Put together, juniors get the lottery ticket and seniors get the paycheck. The early-career engineer is being paid in a bet, and the senior engineer has quietly traded that bet for a bigger, safer number.

The junior end is also more open than the "no one hires juniors anymore" story suggests, at least at the smallest companies.

Share of roles open to new grads, by company size. The smallest startups are about twice as junior-friendly as the ones a rung up.

Whether they even tell you

Here is the part that...