Senior Product Manager (AI Analytics)

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team collaboration, and organizational control into a single coherent system. This platform serves as the execution and governance layer for AI-driven development and is deeply integrated with JetBrains tools and designed to work across teams, products, and environments.

As part of this vision, JetBrains is building AI governance capabilities into JetBrains Console that help organizations manage, observe, and understand AI usage across their teams. The AI analytics provide company admins and decision-makers visibility into adoption, usage, cost, and the impact of AI agent development.

• 5+ years of product management experience, ideally in B2B or enterprise software.
• Experience building analytics, observability, reporting, or admin-facing products.
• Technical background or hands-on experience with software development.
• Familiarity with modern software development practices and developer workflows.
• Strong understanding of product metrics, telemetry, and data-informed decision-making.
• Comfortable working with technical products and engineering-heavy teams.
• Proficient in English, with strong written and spoken communication skills.

Nice to have:

• Experience in AI products for developers, governance, compliance, or usage-based platforms.
• Experience building products for software teams, engineering organizations, or technical decision-makers.

• Own the product roadmap for AI analytics within JetBrains Console.
• Drive product discovery using customer research, product telemetry, usage data, and feedback from Sales, Customer Success, and other customer-facing teams.
• Define and develop analytics experiences across adoption, usage, cost, activity, and impact.
• Identify, define, and improve the product metrics behind analytics, ensuring they are meaningful, trustworthy, and actionable for customers.
• Generate, prioritize, and validate hypotheses through research, data analysis, and experimentation.
• Work closely with engineering, design, and data warehouse teams to define problems, shape solutions, and iterate quickly.
• Collaborate with adjacent product teams across AI, IDEs, licensing, and administration to build coherent customer experiences.
• Help shape the next generation of analytics capabilities, including deeper dashboards, segmentation, and API-enabled access to analytics data.

We are an equal opportunity employer. We create an open and inclusive workplace welcoming everyone regardless of background, identity, religion, age, accessibility needs, or orientation.

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