Senior Technical Product Manager – Kotlin Ecosystem, AI Value Stream

November 25

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JetBrains

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B2B • SaaS • Artificial Intelligence

JetBrains is a software company that builds professional developer tools and integrated development environments (IDEs) — including IntelliJ IDEA, PyCharm, WebStorm, Rider, and others — plus team and CI/CD tools like TeamCity, YouTrack, Datalore, and code-quality services. The company also offers AI-powered developer features (Junie, AI Assistant, AI Enterprise), a marketplace for plugins, educational offerings (JetBrains Academy, courses, free licenses for students/teachers), and enterprise services for managing developer tooling at scale. JetBrains focuses on improving developer productivity, collaboration, and code quality for individual developers and organizations worldwide.

1001 - 5000 employees

Founded 2000

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Discover use cases for the benchmarks to be built • Built a system of evaluations for the most important use cases and business-related metrics (e.g, quality of code, number of used tokens) • Lead the continuous experimentation pipeline to define the most efficient ways to improve the quality of generated Kotlin in different use cases • Own the prioritization process for benchmarks/evals and solution development • Peer to peer collaborate with Kotlin Core teams to convert prototypes into high-quality solutions • Negotiate with external partners • Create internal and external visibility through blog posts, talks, and technical previews

🎯 Requirements

• Has previous experience in software development in any of the application development languages • Possesses broad technical knowledge and knows how the backend and frontend development lifecycle is structured • Knows how CI/CD infrastructure and AI/ML Evaluation pipelines are set up • Have 5+ years of experience in technical product management, working on AI products or other complex technical domains (e.g., frameworks, languages) • Have hands-on experience developing product metrics and making data-driven decisions • Are comfortable reading/writing code, using the command line, and version control systems • Is a hands-on leader who uses the technology, rather than directing from slides • Can communicate persuasively to both technical peers and executives. • Experience in writing own MCP servers and benchmarks for LLMs (personal projects are also considered) • Hands-on experience in developing with Kotlin • Degree in computer science and/or machine learning

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities