Field notes · AI startup careers

Career Hacks

Data-driven insights from analyzing AI startups, hiring patterns, roles, and market signals. Research you can use before you apply.

Research foundation

The Startup Hiring Atlas

Our salary research combines job-posting compensation, funding stage, company size, and industry data. Start with the methodology, then explore the interactive charts.

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Research by topic

AI Startup Jobs

Company maps, market structure, and the roles AI startups are building around.

AI Startup Jobs guides

Early Career & Internships

Entry-level supply, internships, and non-engineering paths into AI startups.

Early Career & Internships guides

Compensation & Equity

Salary evidence, equity signals, and funding context for evaluating an offer.

Compensation & Equity guides

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Equity at Seed, 401(k) by Series C: What 28,414 AI Startup Job Postings Reveal

Among AI startups that advertise equity in their job postings, only 26% at Seed also advertise a 401(k). By Series C it is 67%. We read 28,414 postings to find out when a startup's comp package grows up.

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02

The Biggest AI Startup Funding Rounds of 2026: 334 Raises, Mapped

We pulled every 2026 funding round from our database of 1,692 AI startups: 334 rounds, 13 of them $1B or larger, and two seed rounds above $1B. Here's the full map by size and stage, with deduped hiring counts so you can see who's actually staffing up.

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03

We Rescued Salary Data From 22,000 Startup Job Postings. The 'Series D Trap' Was An Averaging Artifact.

Most public datasets disclose comp for fewer than 1% of postings. We extracted base-pay ranges from 22,000 JD bodies and crossed them with funding stage, headcount, and industry. Three of our prior findings broke under the new evidence.

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04

When a $2 Billion Seed Round Is Normal: Real Funding Data from 1,190 Startups

We verified funding data for 1,190 startups and found that stage labels have become meaningless. $2B seeds, $900M Series A rounds, and 40% of early-stage funding going to $100M+ deals.

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05

$442 Billion Poured Into AI, But 67% Went to Just 10 Companies

We analyzed funding data from 1,044 AI startups and found a concentration so extreme it makes global wealth inequality look tame. Here's what it means for your career.

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