Senior Product Manager For Ai And Innovations In Kotlin (Remote)

We are focused on exploring innovative products and features that significantly enhance Kotlin developers experience or open new markets. As a Product Manager, you will oversee and refine these initiatives, and find new opportunities for innovations. Your current primary focus will be on making Kotlin a language that is enticing in the world of AI. Your responsibilities include comprehensive product and market research for new ideas, defining success criteria for prototypes, and verifying hypotheses through experiments and prototypes.

Requirements

• At least 5 years of product management experience or the equivalent.
• Experience in the development of ML/AI products or features.
• Experience launching new products from scratch and leading them to achieve product and market fit.
• A deep understanding of product metrics and strong research skills.
• Experience in software development.
• The skills and mindset to work in a highly technical domain.
• The readiness to learn Kotlin and become an active user of the language.
• Strong leadership skills and the ability to motivate and manage cross-functional teams.
• The ability to work on multiple products simultaneously and to switch contexts effectively.
• Strong English language skills, both written and spoken.

Responsibilities

• Analyze market trends and identify potential opportunities for Kotlin and its ecosystem.
• Transform ideas into feasible product hypotheses that can be tested.
• Drive new products and features to public release and measure the success.
• Conduct UX and market research to gain insights and make informed decisions.
• Extensively interact with users to identify their needs, problems, and potential solutions.
• Identify product metrics necessary for monitoring success and making data-driven decisions.
• Work closely with developers, technical writers, developer advocates, and marketing and product managers across JetBrains.
• Cooperate with the authors of third-party libraries, frameworks, and tools.

Examples Of Tasks

• Increasing the quality of Kotlin code generation in the top five LLMs.
• Researching the feasibility of developing a Kotlin version of LangChain.
• Identifying use cases for Kotlin Notebook that demonstrate the strongest product and market fit.