product manager for AI coding agents

JetBrains creates intelligent software development tools for developers and teams. Its products help more than 15 million users and over 300,000 companies solve complex problems, with a mission to make development teams more productive and AI adoptable at scale.

• Own JetBrains Context as a product by defining its purpose, target users, success measures, and future direction;
• Build and maintain a deep understanding of chunking, embeddings, index freshness, retrieval, reranking, and agent-facing surfaces;
• Define and defend the product vision, target audiences, use cases, and key success metrics;
• Translate product strategy into problem statements, priorities, plans, and milestones with clear definitions of “done”;
• Communicate product direction to engineering, leadership, cross-functional stakeholders, customers, and prospects;
• Analyze competing context and code-search products through direct use to identify differentiators and gaps;
• Define operational and product metrics for index freshness, retrieval quality, agent task outcomes, adoption, retention, and unit economics;
• Represent the product externally by sharing roadmaps, publishing updates, speaking to developer audiences, and gathering community feedback;
• Partner with ML teams on model evaluation and platform teams on service scale, reliability, and cost;
• Collaborate with engineering and ML teams on indexing pipelines and retrieval quality;
• Work with Air, IDE, and Junie teams on integrations;
• Partner with marketing, developer advocacy, sales, and customer success on positioning and adoption;
• Define problem statements, set explicit trade-offs, and balance cost, latency, and freshness across the platform;
• Form and share a clear thesis for JetBrains Context, establish metrics and a roadmap, and document competitor evaluations;
• Help make JetBrains Context a deliberate choice for developers and organizations, improve agent answers, support enterprise governance and scale, and communicate its unique value.

• Have proven experience owning a complex developer, platform, or infrastructure product end to end, including strategy and roadmap;
• Be familiar with modern AI coding tools and agent workflows;
• Be able to work directly with engineering on retrieval behavior, APIs, data models, and integration surfaces;
• Be able to define metrics for quality-sensitive products and establish evaluation practices that maintain product standards;
• Have experience communicating a product externally through written content, talks, or community engagement;
• Have a well-argued point of view on the future of AI-first development and what agents need from a context layer;
• Be comfortable with technical depth across embeddings, retrieval quality, sub-agents, tool-calling, indexing costs, and API design;
• Use the product being built daily alongside competitors’ tools;
• Adapt communication to audiences ranging from staff engineers and enterprise architects to conference attendees;
• Take a data-informed approach combining telemetry, evaluation results, customer conversations, and market signals;
• Be comfortable with ambiguity and prefer defining a new category over copying an existing one;
• Nice to have: practical experience with search, retrieval, RAG, developer search, or static analysis at scale.

• Strong base salary; competitive pay reflecting skills and experience;
• Flexible work location, with the option to work from home or the office;
• Remote work abroad for up to 30 days per year;
• Extra time off;
• Medical insurance allowance for the candidate and family;
• Access to conferences, courses, and language classes;
• A hot meal or lunch allowance on workdays;
• Access to professional mental health services;
• On-site gym or sports club stipend;
• Company-wide celebrations and team gatherings;
• Some benefits may vary depending on location;
• Relocation possibilities can be discussed for candidates not based in the listed locations.