Head of Data Science and Analytics (JetBrains Air)
JetBrains
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JetBrains has 42 open roles listed here.
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- Senior Product Manager – JetBrains Air (Agentic Development in IDEs)
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
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Questions you are likely to be asked
- Why do you want to join JetBrains?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Head of Data Science and Analytics (JetBrains Air) at JetBrains interview free →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.
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Listed on greenhouse · posted 2026-11-02. ApplySarthi collects openings and links to application pages; the role is advertised by JetBrains, not by us.