Companies that use Jetbrains

Source: Analysis of job postings that mention Jetbrains (using the Bloomberry Jobs API)

I noticed that backend engineers make up 39% of the roles, with frontend engineers at 9% and DevOps engineers at 6%. Directors of engineering account for 6% of the positions. The buying decision appears to be distributed across technical leadership and engineering teams themselves, with directors and CTOs involved in tooling decisions. These organizations prioritize developer productivity, AI integration, and modernization of legacy systems. They're hiring for teams that need to move fast while maintaining quality.

The day-to-day users are primarily software engineers working across the full stack. They're using JetBrains IDEs like IntelliJ IDEA for Java development, alongside AI-assisted coding tools. One posting specifically mentions "experience with usage of the LLM-based solutions in daily workflow (ChatGPT, CoPilot, JetBrains AI Assistant, etc)" as a requirement. Another highlights that "the entire divize is adapted on products JetBrains" including IntelliJ IDEA, YouTrack, and TeamCity. Developers are writing code in Java, C#, Python, TypeScript, and other languages while collaborating in agile teams.

The pain points center on developer velocity and quality. Companies want to "make professional software development more productive and enjoyable" and "reduce developer friction." They're seeking engineers who can "write clean, maintainable, and testable code" while working in "complex, distributed environments." The emphasis on AI tools and modern development practices suggests organizations are trying to accelerate delivery without sacrificing code quality or developer experience.

Source: Analysis of Linkedin bios of 2,813 companies that use Jetbrains

I noticed that JetBrains customers span an incredibly diverse range of what they actually build and sell. There are software development shops creating custom solutions for clients, fintech companies building payment and financial platforms, SaaS providers offering everything from HR tools to gaming analytics, and even manufacturers, retailers, educational institutions, and government agencies. What unites them is that they all have significant internal software development operations, whether that's building products to sell or creating technology to run their own operations more efficiently.

The companies range dramatically in maturity. I see early-stage startups with 10-20 employees and seed funding, mid-stage growth companies in Series A through C with hundreds of employees, and massive enterprises with 5,000-plus employees and public market presence. However, there's a notable concentration of companies in the 50-500 employee range that appear to be in active growth phases, either bootstrapped and profitable or venture-backed and scaling.

Source: Analysis of tech stacks from 2,813 companies that use Jetbrains

I noticed that companies using JetBrains are distinctly modern software development organizations that have invested heavily in premium, collaborative tooling across their entire operation. The presence of Atlassian Cloud, Docker Business, and advanced AI coding assistants like Cursor and Claude for Work tells me these are engineering-focused companies that treat developer productivity as a strategic advantage, not a cost center.

The pairing of JetBrains with Cursor (274x more likely) is particularly revealing. These companies aren't just writing code, they're adopting cutting-edge AI-assisted development tools while maintaining professional IDE environments. This suggests teams sophisticated enough to blend traditional development workflows with newer AI capabilities. Similarly, the strong correlation with Claude for Work shows these organizations are embedding AI deeply into their processes, likely for everything from code review to documentation. The combination with Miro at 142x more likely indicates these technical teams work closely with product and design counterparts, needing visual collaboration spaces that bridge technical and creative work.

My analysis shows these are product-led companies, likely in growth or scale-up stages. The prevalence of Figma Organization Plan and Miro suggests cross-functional collaboration between engineering, design, and product teams. Docker Business appearing 336x more likely points to mature engineering practices with containerized deployments. These aren't early-stage startups cobbling together free tools, nor enterprise giants stuck on legacy systems. They're well-funded companies building software products with 50 to 500 employees who can justify premium tooling investments.