Head of Data Science and Analytics (JetBrains Air)

Posted Yesterday
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12 Locations
Remote or Hybrid
Expert/Leader
Software
The Role
Leads JetBrains Air’s data science, analytics, and data engineering functions. Builds and develops multidisciplinary teams, establishes scalable data foundations and metric frameworks, drives experimentation, and delivers insights for product, marketing, acquisition, retention, and monetization. Partners with engineering and leadership on data strategy, infrastructure, machine learning capabilities, privacy, security, and responsible data use.
Summary Generated by Built In

You’ve built data teams from the ground up and know how to turn raw information into better product decisions. You care deeply about how AI is changing software development, and you want to shape the data foundations that make it happen.

About JetBrains

We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 organizations, and 88 of the Fortune Global Top 100 companies rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.

What you’ll do

JetBrains Air is an AI-native software development platform that connects developer workflows, collaboration, and control into a single system. Because this is a major strategic focus for us, we need a strong data function to help guide it. As Head of Data Science and Analytics for JetBrains Air, you’ll lead our data science, analytics, and data engineering capabilities for both the product and go-to-market domains. 

By building a high-performing team, you’ll help us use data to navigate product direction, optimize product and go-to-market decisions, and accelerate growth. You’ll own the data strategy for JetBrains AI, partnering closely with product, engineering, and leadership teams to ensure our data infrastructure scales smoothly alongside our ambitions.

Day to day, you will:

  • Build and lead a cohesive team of data scientists, analysts, and data engineers.
  • Help teams adopt a rigorous experimentation culture, improving how we test and measure product changes.
  • Uncover insights across the customer journey to improve acquisition, retention, and monetization.
  • Establish scalable analytics foundations, including clear metric frameworks, data models, and self-service reporting.
  • Partner with engineering teams to design robust, compliant data infrastructure and pipelines.
  • Guide the development of machine learning capabilities that enhance marketing acquisition, product personalization, and operational efficiency.
  • Translate complex data signals into clear, actionable recommendations for leadership.
  • Define the business unit's data strategy to support product and engineering priorities.
What you’ll bring
  • A strategic mindset paired with a willingness to dive hands-on into the details when necessary.
  • A strong belief in building experimentation cultures and helping others make data-informed decisions.
  • The ability to navigate ambiguity and build new capabilities in a fast-moving space.
  • Clear, candid communication skills to align both technical and non-technical stakeholders.
  • A deep appreciation for developer products and a distinct point of view on how AI will shape the future of software creation.
  • A commitment to maintaining high standards for privacy, security, and responsible data use.
What you’ll need
  • Proven experience leading and scaling a data function within a product-led, B2B SaaS, AI, or developer tools environment.
  • A deep understanding of modern data science and analytics practices, including cohort analysis, A/B testing, segmentation, and machine learning applications to product and marketing problems.
  • A solid grasp of data engineering fundamentals, such as data modeling, and orchestration.
  • A track record of hiring, mentoring, and developing multidisciplinary data teams.
  • Willingness to learn fast and find practical solutions to hard problems.
What success looks like

You will have transformed JetBrains Air into a truly data-informed, experimentation-driven product offering. By establishing strong data foundations, you’ll empower teams to deeply understand our customers, accurately measure product impact, and confidently make strategic decisions. Rather than just reporting on what has already happened, your work will actively shape what we build next.


Why join JetBrains? 

  • Strong base salary. We offer competitive pay that reflects your skills and experience.
  • Flexible work location. Enjoy the freedom to work from home or from the office.
  • Remote work. Spend up to 30 days per year working remotely from abroad.
  • Extra time off. More days to relax, recharge, and do the things you love.
  • Medical insurance allowance. Enjoy peace of mind for you and your family
  • Learning and development opportunities. Access to conferences, courses, and language classes.
  • Relocation support. We help make your move as smooth and stress-free as possible.
  • Language classes. Pick up the local language or sharpen your English skills.
  • Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
  • Mental health support. To help you feel your best, we provide easy access to professional mental health services.
  • Sports benefit. Enjoy an on-site gym or sports club stipend.
  • Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

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We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Skills Required

  • Experience leading and scaling a data function in a product-led, B2B SaaS, AI, or developer tools environment.
  • Deep understanding of data science and analytics practices, including cohort analysis, A/B testing, segmentation, and machine learning applications.
  • Understanding of data engineering fundamentals, including data modeling and orchestration.
  • Experience hiring, mentoring, and developing multidisciplinary data teams.
  • Strategic mindset with willingness to work hands-on when necessary.
  • Ability to build experimentation cultures and support data-informed decision-making.
  • Ability to navigate ambiguity and build new capabilities in a fast-moving environment.
  • Clear communication skills for technical and non-technical stakeholders.
  • Interest in developer products and the impact of AI on software creation.
  • Commitment to privacy, security, and responsible data use.
  • Willingness to learn quickly and develop practical solutions to difficult problems.

JetBrains Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JetBrains and has not been reviewed or approved by JetBrains.

  • Fair & Transparent Compensation — Fair & Transparent Compensation: Pay is considered market-competitive for many product and engineering roles in key locations, with published salary ranges on some postings aiding expectation-setting. Feedback suggests total compensation feels fair relative to local markets even if packages are positioned as “competitive but not top‑of‑big‑tech”.
  • Flexible Benefits — Flexible Benefits: Work setup includes hybrid/remote options and flexible hours across many locations. The ability to work abroad for part of the year adds practical flexibility to where work gets done.
  • Leave & Time Off Breadth — Leave & Time Off Breadth: Time off includes additional vacation days beyond local minimums in many countries. U.S. materials also highlight PTO, sick leave, and holidays, underscoring breadth beyond statutory baselines.

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The Company
HQ: Praha
2,209 Employees
Year Founded: 2000

What We Do

JetBrains creates intelligent software development tools consistently used and trusted by 11.4 million professionals and 88 Fortune Global Top 100 companies. Our lineup of more than 30 products includes IDEs for most programming languages and technologies, such as IntelliJ IDEA, PyCharm, and others, as well as products for team collaboration, like YouTrack and TeamCity. JetBrains is also known for creating the Kotlin programming language, a cross-platform language used by more than 5 million developers worldwide yearly and recommended by Google as the preferred language for Android development. The company is headquartered in Prague, Czech Republic, and has offices around the world. JetBrains IDEs * IntelliJ IDEA (Java and Kotlin Developers) * PyCharm (Python developers) * PhpStorm (PHP developers) * GoLand (Go developers) * Rider (.NET developers) * CLion (C and C++ developers) * Rust Rover (Rust developers) * WebStorm (JavaScript & TypesScript developers) * RubyMine (Ruby and Rails developers) * DataGrip (Tool for multiple databases) * ReSharper (Extension for Visual Studio) * Fleet (Multilingual IDE and code editor) * Aqua (IDE for test automation engineers) .NET & Visual Studio: * Rider (IDE for .NET developers) * ReSharper (Extension for Visual Studio) * ReSharper C++ (Visual Studio Extension for C++ developers) * dotCover (.NET Unit Test Runner and Code Coverage Tool) * dotMemory (.NET Memory Profiler) * dotTrace (.NET Performance Profiler) * dotPeek (.NET decompiler and assembly browser) Team Tools: * TeamCity (Powerful CI out of the box) * YouTrack (Project management for all your teams) * Space (Intelligent code collaboration platform) * Datalore (Collaborative data science platform) * Qodana (Code quality platform for teams) Programming Languages: * Kotlin (Programming Language for the JVM and Android) * MPS (Create Your Own Domain-Specific Language) Education: * JetBrains Academy (Learn and Teach Computer Science) Profile by JetBrains s.r.o.

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