Jason M. LemkinCEO, SaaStr · Co-Founder of SaaStr AI, SaaStr Fund, Adobe Sign

Why Atlassian Is Hiring More Juniors in the AI Era

14 Oct 2026 · 1 min

Watch on YouTube

1:21

In this talk, the speaker argues that today’s college students are AI‑native, often bypassing traditional, syntax‑heavy programming education and using tools like Replit to build apps directly. Recognizing this shift, Atlassian overhauled its hiring pipeline: it now hires many more junior engineers (and senior specialists) while reducing mid‑level hires. Internal research cited in the presentation shows that junior engineers are 19‑30% more likely to use AI, are almost twice as likely to experiment with new tools, and employ a broader set of AI‑driven utilities than more experienced staff. Although complementary (mid‑level) teams may feel less productive, they still contribute valuable work. The speaker concludes that this junior‑focused strategy has “worked wonders” for Atlassian’s R&D productivity in the AI era.

Chapters

College students are experts at cheating in their universities, in their assignments, and they're actually very AI native. And so one thing we have a workforce with thousands of people in R&D who need to unlearn how they've done their job for the last 10, 20, some 30 years. The hardest thing you can do is unlearn how you do something and then learn the new way of doing it. My son, 12 years old, has gone from visual coding language to vibe coding. He's using Replit actually to build his app in the App Store. This is normal for him. Like, he's missed that whole step of learning a crazy amount of syntax. He just thinks this is how you code now. So what have we done? We've actually changed our hiring pipeline from, we used to hire a few juniors, lots in the mid, seniors, to flipped it completely. We're now hiring a lot more on the junior end and more on the senior end and less in the middle. And it's worked wonders for us. What have we learned? We, we do, we have a research team. There's a link there where you can grab the research report. Internally, juniors are 19 to 30% more likely to use AI, and they do use AI more. They're almost 2 times likely to experiment. They use a lot more tools. But here's where the complementary teams come in. They're actually not great at feeling super productive, but they're doing a lot of stuff.