J

JetBrains

Develops IDEs and developer tools

Customer Success Engineer

Full-TimePosted on 9/30/2026
No salary listed
Mid
Remote in Germany+2 moreMore locations: Berlin, Germany | Munich, Germany
HybridTravel approximately 25% of the time.

About the job

Requirements
  • Proven experience in technical consulting, technical customer success, or another customer-facing technical role.
  • Extensive experience in software development, quality assurance, information technology, DevOps, machine learning, or a related information technology field.
  • Hands-on knowledge of artificial intelligence and large language models in software development.
  • Strong verbal and written communication skills in English and the local language of the office.
  • Presentation skills to demonstrate JetBrains products to customers.
  • Ability to identify and address technical and business challenges related to software development tooling.
  • Ability to explain technical concepts to customers with varied technical backgrounds.
  • Experience working in or with large software development teams.
  • Ability to travel approximately 25% of the time.
Responsibilities
  • Work closely with JetBrains Account Executives.
  • Help customers adopt JetBrains products and services to achieve business outcomes, including through whiteboarding, assisting with architecture development, and overcoming technical and cultural barriers to adoption.
  • Manage technical relationships for a portfolio of accounts and collaborate with account team members to define and implement account strategies.
  • Represent customers to JetBrains Support, Product Engineering, and other internal groups.
  • Recommend product enhancements based on customer experience and feedback.
  • Help product teams present and evaluate new product ideas with customers in the portfolio.
  • Serve as a trusted technical advisor to customers and stay current with technology developments within JetBrains and the broader field.
  • Work with Sales to facilitate account expansions by developing short- and long-term account plans that meet customer needs.
Desired Qualifications
  • A passion for continually improving the customer experience.
  • A collaborative, team-focused approach and willingness to take initiative.
  • Self-direction and resourcefulness.
  • Comfort working in a fast-paced, dynamic environment.

About the company

JetBrains builds a suite of developer tools, chiefly Integrated Development Environments (IDEs) for languages like Java, Python, JavaScript, .NET, and C/C++, plus related products for testing and project management. Their IDEs provide deep code understanding, smart editing, and refactoring to help programmers write and maintain software, and are sold via subscriptions (including an All Products Pack) with options for perpetual licenses and free Community Editions for some tools and non-commercial use. The company differentiates itself with a tightly integrated tool suite, language-agnostic support, strong refactoring capabilities, and a track record of popular products like IntelliJ IDEA and Kotlin, along with newer AI features and lightweight Fleet editor. JetBrains aims to help developers work more efficiently across multiple languages, ecosystems, and teams.

Company Size

1,001-5,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Amsterdam, Netherlands

Founded

2000

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Simplify's Take

What believers are saying

  • September 2, 2026, TeamCity 2026.2 shipped pipelines GA and BYOK AI Assistant.
  • September 21, 2026, JetBrains Central CLI became a local proxy for AI spend control.
  • JetBrains joined Python Asia as Gold Sponsor and partnered eSense in Saudi Arabia.

What critics are saying

  • August 7, 2026, TeamCity CVE-2026-63077 saw active exploitation on unpatched servers.
  • May 11, 2026, CVE-2026-44413 exposed TeamCity server API data to authenticated attackers.
  • Microsoft, Cursor, and open LSPs commoditize IntelliJ intelligence, squeezing JetBrains subscriptions.

What makes JetBrains unique

  • JetBrains Air unifies IDEs, Teams, and Governance for agentic development.
  • June 26, 2026, IntelliJ IDEA opened LSP client APIs across JetBrains products.
  • JetBrains remains privately owned, bootstrapped, and focused on developer tooling since 2000.

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Benefits

Flexible Work Hours

Remote Work Options

Conference Attendance Budget

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

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1 year growth

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2 year growth

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BizStack
Sep 26th, 2026
JetBrains Air brings multi-agent control to JetBrains IDEs.

JetBrains Air brings multi-agent control to JetBrains IDEs. JetBrains just announced JetBrains Air, a product system designed to run and manage AI coding agents across individual developers, teams, and entire engineering organizations. Get Free Daily Insights to Stay Ahead in Your Entrepreneurial Journey. Table of Contents Three products, one system. Air ships as three distinct layers: * Air in JetBrains IDEs: a free plugin, now in public preview, that runs Claude Agent, Codex, Junie, Copilot, and OpenCode inside PhpStorm and other JetBrains IDEs. You can run multiple agent sessions at once, review diffs with the IDE's native tooling, and connect via your own API keys, existing subscriptions, or JetBrains AI credits. * Air Teams: shared cloud environments where developers and agents work together on tasks, with automations for code review and release notes. Currently in early access. * Air Governance: model and agent permissions, spending limits, and usage analytics for org-level control. Previously called JetBrains Central. Vendor-Agnostic by design. Air works with third-party agents out of the box. Agents that support the Agent Client Protocol (ACP) connect directly to the IDE without extra configuration. JetBrains CEO Kirill Skrygan was direct about the strategy: BizStack build its own agent, and BizStack intend to make it excellent. But JetBrains Air does not require customers to use ours, and its strategy does not depend on which model provider leads the rankings this quarter. The free IDE plugin is available now at the JetBrains Air website, where you can also sign up for Air Teams early access. Cagri Sarigoz ( Founder) I'm founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs. With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I'm dedicated to sharing genuine, useful product insights and tips. At BizStack, I aim to cut through the digital noise to provide clear, actionable advice. And more than all else, I'm a father to a (always) little girl and a husband. Contact me at [email protected] for assistance.

Python Asia Organization
Sep 24th, 2026
JetBrains joins Python Asia Organization as a Gold Sponsor.

JetBrains joins Python Asia Organization as a Gold Sponsor. Python Asia is welcoming JetBrains as a Gold Sponsor of Python Asia Organization (PAO). JetBrains builds professional tools for developers and teams around the world. In the Python community, many people know the company through PyCharm, its professional Python IDE for web development, data, machine learning, and other Python workflows. That gives JetBrains a clear connection to the ecosystem PAO works in. But the reason this sponsorship matters to Python Asia goes beyond developer tools. It helps support the people and communities doing the work between conferences: organizing meetups, sharing lessons, introducing communities to one another, and finding better ways to collaborate across borders. JetBrains, PyCharm, and the Python Community. PyCharm has been part of the Python developer landscape for years. Developers use it across web development, data, machine learning, and day-to-day Python work. It brings coding, debugging, testing, project navigation, and other development tools into one environment, whether someone is working on a small project or maintaining something much larger. JetBrains' connection to Python also extends beyond the product itself. The company has supported developer and open-source communities, including organizations within the Python ecosystem. That matters to PAO because regional community building depends on the same kind of long-term thinking. Events are important. So is everything that happens before and after them. Connecting Python communities Across Asia. Python Asia Organization works to bring Python communities across East and Southeast Asia closer together. Those communities do not all operate under the same conditions. Some have established conferences, strong volunteer networks, and long-standing sponsor relationships. Others are smaller, newer, or working with fewer resources. Organizers face different challenges depending on where they are, but many of the problems are familiar: finding speakers, keeping volunteers engaged, funding events, sharing knowledge, and reaching beyond their local networks. There is a lot communities can learn from one another. PAO tries to make those exchanges easier. That might mean bringing organizers into the same conversation, sharing an opportunity across countries, helping one community learn from another, or creating programs where people can hear directly from the teams doing the work. Sometimes it becomes a formal collaboration. Sometimes it is simply an introduction that would not have happened otherwise. Both matter. The work that happens between conferences. Conferences are often the most visible part of a Python community. People travel. Talks happen. Organizers finally meet people they may have known online for years. A few days can create conversations and relationships that would have taken months to form remotely. Then everyone goes home. The work does not stop. Someone starts preparing the next meetup. Another organizer is looking for a speaker. A community is trying to improve its sponsorship process. Someone else is working out how to make an event more accessible, recruit more volunteers, or avoid a mistake another group has already learned from. This is where regional relationships become useful. An idea tested in one country can save another community weeks of work. An introduction can turn into a speaker exchange, a partnership, or a future event. A conversation that starts casually can become something much bigger later. A large part of PAO's work happens in these smaller moments. Python Across Asia gives communities a place to talk about what they are building, what they have learned, and the people behind the work. The PythonAsia conference creates a different kind of opportunity: a shared regional gathering where those relationships can happen face to face. They are different programs, but they come from the same idea. Communities are stronger when they do not have to work in isolation. Why this sponsorship matters. A useful sponsorship should do more than put a company logo on a website. For PAO, sponsorship gives Python Asia more room to keep doing the work that is harder to see from the outside: connecting organizers, running regional programs, maintaining partnerships, sharing opportunities, and helping communities reach beyond their usual circles. The results are not always easy to measure in a single number. Sometimes two organizers meet and decide to work together. Sometimes a community finds a speaker through another country's network. Sometimes someone discovers a conference outside their own region, attends it, volunteers, speaks, or brings an idea home. None of those things looks especially dramatic on its own. But repeated often enough, they change how communities relate to one another. That is how separate local groups begin to feel like part of something regional. What JetBrains' Gold Sponsorship supports. PAO is still building. There are more communities Python Asia want to reach, more organizers Python Asia want to connect, and more opportunities to create for people working across the region. JetBrains' Gold Sponsorship helps give Python Asia the capacity to keep that work moving through PAO's programs, events, partnerships, and community initiatives. For Python Asia, the goal is not simply to run more activities. It is to make regional collaboration easier to access and easier to sustain. Python Asia want organizers to know who they can turn to outside their own country. Python Asia want communities to be able to share what they have learned instead of solving the same problems from scratch. And Python Asia want more people to discover the work happening across Python communities in Asia. That takes time. It also takes partners willing to support the work behind the scenes. Python Asia is glad to welcome JetBrains as part of it. Support Python communities Across Asia. Organizations interested in supporting PAO can learn more about sponsorship and how that support helps create more opportunities for Python communities across East and Southeast Asia.

WeirdWare
Sep 21st, 2026
Huntress targets agentic cybersecurity as revenues rise.

Huntress targets agentic cybersecurity as revenues rise. JetBrains launches local command-line proxy to help control AI spend. 21st September 2026 With more AI in integrated development environments (IDEs) and developer tools than ever, vendor JetBrains is thinking up ways to tackle rising AI costs. Via the JetBrains blog, Viktor Kiselev and Mikhail Filippov said that, rather than limiting tool choices to shrink management overhead, JetBrains developed a local command-line proxy, JetBrains Central CLI. It routes requests from CLI coding agents. As a result, developers can run terminal agents easily, using their preferred model. And there's "virtually no administrative friction and no more waiting weeks for approvals", Kiselev and Filippov said. Therefore, managers can create and view reports in a central console. That includes current, historical and forecast AI consumption and costs for departments and shows AI costs and use by developer, agent and IDE. In addition, all the data can be aggregated with other AI expenses, using an analytics API. And you can set specific kinds of AI limits across every agent, IDE, developer, team or group, they said. Kiselev and Filippov admitted their AI development expenses were 10 times higher as of August. And that all happened in the previous six months. "When the costs started rising, we realised that we didn't know how to control them systematically," they said. Control AI costs, retain choice. The blind spot was partly because JetBrains developers also use non-JetBrains AI tools. And they choose the tools they want to use themselves, so they can select the best for each task. Most of them use between three and five AI tools in a given month, Kiselev and Filippov wrote. "They're using its IDEs as much as ever. They've added more command-line interface (CLI) agents, agentic development environments, for running several AI agents in parallel, and IDE-integrated AI tools. "Governing developers' AI usage shouldn't mean cramping their workflows," they said. JetBrains had already been collecting consumption statistics and other metrics from the server side. Then they processed them into separate, highly elastic storage. Also, they'd been applying AI credit budgets to their own tools, they said. Because more organisations were adopting generative AI, increasingly multiple models, AI costs had "skyrocketed", they said. In particular, Anthropic's release of Claude Opus 4.5 and 4.6 spiked token consumption, they said. "JetBrains developers began using these models in various places, like Claude Code CLI, the AI chat in JetBrains IDEs, and Junie. After that, usage started almost doubling every month," they said. "Soon enough, we hit 150 Claude Code seats and moved onto the Enterprise plan with rates based on API usage. That's when costs really took off." Third-party AI tools considered. JetBrains' previous management console hadn't covered third-party AI tools. Meanwhile the mix of tools kept changing, they said. As a result, JetBrains Central CLI was built, essentially after repurposing a personal debugging tool. "The CLI currently supports three of the most popular terminal agents. Four more are in internal beta," they noted. However, niche setups and personal AI subscriptions will remain out of scope. "As our goal is to cover the AI traffic running through the tools developers most rely on," they added. Security 9th September 2026

JetBrains
Sep 9th, 2026
Why Rider and ReSharper were slow to Start, and how Microsoft helped fix the problem.

Why Rider and ReSharper were slow to Start, and how Microsoft helped fix the problem. September 9, 2026 When JetBrains launched ReSharper's out-of-process (OOP) architecture, users reported slower startup times for IDEs using ReSharper on Windows. After profiling, the cause surprised JetBrains: Microsoft Defender was scanning its process for longer than JetBrains expected. This post is about what JetBrains found, what JetBrains learned working with Microsoft, and a tool JetBrains built that allows others to run the same investigation. An unexpected factor in startup performance. Performance of its tools has consistently been the number one subject of feedback JetBrains has received from its users over the years. Its telemetry and user surveys confirmed what many of you have been telling JetBrains: Despite ReSharper's powerful features, the impact on Visual Studio's responsiveness was affecting your daily workflow. This led JetBrains down the path of developing its new out-of-process (OOP) architecture. JetBrains originally launched OOP mode for the public last year. (Now, thanks to these investigations, as of 2026.2.1 it is enabled by default.) In general, its telemetry indicated improved performance. However, at some point, JetBrains noticed something unexpected - customers started reporting slower startup times. After a few profiling iterations, the collected data pointed to an unexpected source of latency: Microsoft Defender. It turned out that processes in write-protected paths receive wider trust rules. Microsoft Defender barely touches those processes during startup - scanning takes a couple of seconds, even when ReSharper loads their DLLs from the user installation directory. But the moment ReSharper started running as a separate process, Defender scanned it in full, adding tens of seconds to first launch (see the chart below). This triggered its curiosity and sent JetBrains down a rabbit hole. JetBrains started analyzing Microsoft Defender ETW (Event Tracing for Windows) logs across dozens of developer tools, and the findings were striking: Some tools get scanned for 30+ seconds at startup while others finish in under a second, as JetBrains had observed above. JetBrains obviously wanted to learn the reasons behind that and find ways to speed up startup for JetBrains tools. An ambitious project, but JetBrains were up for the challenge! The first thing JetBrains needed was to set up a repeatable measurement process. That way JetBrains could share it with other teams in JetBrains, and with its colleagues from Microsoft to have a productive conversation. JetBrains is grateful for all Microsoft's explanations, openness, and willingness to help JetBrains with this investigation. Measuring the impact. JetBrains tracked the activity of Microsoft Defender in two ways: Microsoft Defender ETW logs (as mentioned above) and direct CPU time measurements. JetBrains found the two methods to be roughly equivalent for its scenario. If you're interested in the distinction, see its GitHub readme for more info. Microsoft Defender, like many other Windows components, uses ETW. It emits events under the Microsoft-Antimalware-Engine provider. Microsoft provides a PowerShell module for Defender-related performance investigations that uses this provider. It has two cmdlets: New-MpPerformanceRecording to collect a trace, and Get-MpPerformanceReport to analyze it. In its scenarios, most slowdowns came from Microsoft Defender's scan events. The Microsoft-Antimalware-Engine/StreamScanRequestTask ETW events report each scan's Start and End time, representing how long Defender spent scanning that stream in real-world elapsed time. The data JetBrains gathered showed JetBrains clearly how Defender was impacting its tool's startup wall time. Methodology. Performance measurements were run on a Dell Pro Max 16 (MA16250) laptop with an Intel Core Ultra 9 285H (16 cores) processor and 64 GB of DDR5-class memory. The host ran Windows 11 Pro. The workload was executed inside a Hyper-V VM configured with 8 vCPUs and 8 GB of static RAM. Each tool was measured 10 times. As per standard best practices when measuring performance, JetBrains rebooted its VM before each measurement to simulate a cold start. This reduced observed file and memory caching effects on its results. The charts below show the mean scan time with standard deviation error bars. Results of the experiment. As you can see, JetBrains measured a variety of development tools, and there were clear differences in the amount of time Defender took to scan them: * JetBrains IDEs (JetBrains IDEs, and some other editor-class tools) took roughly 10-40 seconds to scan at cold start, while Microsoft IDEs and various other editors had negligible scan times in comparison (all under 1 second). * CLI-based tools (the command-line agents) took under ~2 seconds to scan, likely because they're small, simple binaries with few DLLs. Collaboration with Microsoft and its solution. Even though JetBrains had built a tool to measure Microsoft Defender's impact, JetBrains still failed to fully understand Defender's scanning principles. JetBrains also consulted their documentation to no avail. So JetBrains reached out to its colleagues at Microsoft directly! They helped JetBrains understand the parameters which cause Microsoft Defender to perform more work. A core principle was that files in write-protected folders would be optimized for scanning. At this point, JetBrains reviewed all the ways JetBrains install and start its tools to find a way to reduce the scanning times. One observation was that JetBrains Rider is subject to even more intensive scanning than IntelliJ IDEA and ReSharper combined. The reason for this was also not clear to JetBrains, so JetBrains asked the Microsoft team for help again. They were able to make optimizations on their end for this specific case and adjustments to Defender released in version 1.449.454.0. Now ReSharper OOP and JetBrains Rider get the scanning performance boost when installed into a write-protected directory: JetBrains Toolbox installs software in the %LOCALAPPDATA%\Programs directory. Since this directory does not require elevation for writing, Toolbox can update the software seamlessly, but as you can see in the chart above, it does not receive the write-protected performance boost. As JetBrains has reported previously, Rider itself excludes some directories from Microsoft Defender during the installation process (more about this here). It uses the Add-MpPreference PowerShell cmdlet to help you automatically configure a Microsoft Defender exclusion. JetBrains is still evaluating the best way to support the JetBrains Toolbox installation of Rider and Microsoft Defender exclusions. You can follow its progress in its TBX-2851 issue. Note: The ability to add exclusions locally can be disabled/blocked by administrators in managed environments. Measuring for your own tool. If you're experiencing the slow startup of your own tool, it definitely makes sense to analyze whether Microsoft Defender is affecting it. To help with your investigation, JetBrains is releasing the tool JetBrains built for its own - the small and easy-to-use Defender Performance Tool. The source code and release builds are on GitHub. A few things you can do with it: * Watch your application's scan activity in real time as it starts, loads plugins, or compiles something. * Open snapshots recorded offline with New-MpPerformanceRecording, so you can investigate traces from another machine (for example, one collected by a customer). * Export a CSV file when multiple snapshots are loaded, for further analysis. JetBrains hope that helps you with similar investigations. Let JetBrains know of any interesting findings! Conclusion. As you can see, Microsoft Defender can have a large impact on tooling performance. JetBrains learned a lot working with Microsoft in this area, and JetBrains hope its findings help developers and vendors understand how best to maintain the security of their Windows systems by observing and tuning Microsoft Defender's behavior. Summary of best practices for working with Microsoft Defender: * Keep your Microsoft Defender definitions up-to-date. * Use the Microsoft PowerShell module for Defender-related performance investigations. * Try its new tool to help analyze Microsoft Defender logs, available on GitHub. * Optimize Microsoft Defender scanning by installing software to write-protected directories. * Use the Add-MpPreference PowerShell cmdlet to help you automatically configure a Microsoft Defender exclusion, if required. * Set up a DevDrive on your Windows machine for storing your repositories and package caches. Hopefully, you've noticed these improvements to ReSharper and Rider in your workflow too! ReSharper 2026.2.1 now ships with OOP enabled by default. Try it out today!

AgentBreach
Sep 6th, 2026
JetBrains Cadence breach exposes AWS credentials via TeamCity exploit.

JetBrains Cadence breach exposes AWS credentials via TeamCity exploit. Attackers breached JetBrains' Cadence infrastructure by exploiting an unpatched TeamCity vulnerability. The company urges all users to rotate credentials immediately. * Threat actors exploited a critical TeamCity flaw to access JetBrains' internal systems. * The breach targeted Cadence, exposing AWS credentials and execution secrets. * JetBrains advises immediate credential revocation and rotation for all Cadence users. * Unpatched instances of TeamCity were the initial attack vector. * Organizations using Cadence must audit and secure their cloud configurations. JetBrains has confirmed a security breach affecting its Cadence workflow platform, stemming from attackers exploiting a known critical vulnerability in its TeamCity build system. The incident resulted in unauthorized access to internal systems and the exposure of sensitive AWS credentials. In response, JetBrains is advising all Cadence users to immediately revoke and rotate any credentials or secrets that may have been used in Cadence executions. This action is essential to mitigate potential abuse of exposed cloud resources and maintain secure operations. Vulnerability Exploitation. * Attackers leveraged a recently disclosed critical vulnerability in TeamCity to gain initial access. * The unpatched nature of the affected TeamCity instance enabled deeper infiltration into JetBrains' environment. * Exploitation led directly to the compromise of Cadence-related infrastructure and associated AWS credentials. Impact and response. * Sensitive execution secrets and cloud credentials were accessed during the breach. * JetBrains issued an urgent advisory recommending full credential rotation for Cadence users. * Organizations are advised to audit their AWS environments for signs of unauthorized activity. Sources.