Jobs at JetBrains

Lead the vision and execution for AI analytics in JetBrains Console, focusing on customer adoption, usage, cost, and decision-making.

Own acquisition, onboarding, and activation for JetBrains AI. Improve product entry points, trials, demos, and onboarding flows. Lead experiments, analyze funnels and cohorts, remove friction, and partner with design, engineering, analytics, marketing, and monetization to drive activation and conversion.

As a Research Engineer, you will develop evaluation tools for AI coding agents, analyze failures, and improve Kotlin code generation techniques. You'll also build public benchmarks for agent performance and maintain evaluation infrastructure.

Lead pre-training and mid-training experiments for code-centric foundation models. Build large-scale data pipelines, handle code corpora and execution-based data, develop repository-level evaluations, and collaborate with researchers and engineers to improve model understanding of software systems.

Lead design and delivery of AI-powered features for CLion and C++ workflows. Architect AI integrations and agent tools, prototype and validate debugging, code-understanding, refactoring, and navigation workflows, build benchmarks and evaluation frameworks, and collaborate with product, ML, QA, and engineering teams to set technical direction and roadmap for AI-assisted C++ development.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.

Provide senior in-house legal counsel on intellectual property and data protection across jurisdictions: develop global IP strategy, support technology projects and startups, draft and negotiate IP/technology/privacy agreements, lead privacy compliance (GDPR, CCPA, SCCs), conduct IP due diligence, advise on AI/open-source risks, and partner with stakeholders to enable product commercialization and regulatory compliance.

As a Research Engineer, you will enhance LLM training performance, manage the training stack, and optimize multi-node pipelines for large-scale machine learning models.

Lead development and execution of B2B/enterprise marketing strategy worldwide. Plan and run digital campaigns, events, PR, and account-based marketing. Align with product, sales, customer success, and marketing automation to generate quality leads, enable sales, and coordinate content. Advocate for enterprise customers, collaborate on market research, and manage cross-functional initiatives to improve engagement and pipeline.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

Drive Hexana from MVP to scalable product by researching advanced user workflows, defining roadmaps, validating hypotheses, tracking competitor tooling, shaping monetization and go-to-market, and communicating strategy to stakeholders.

Lead the product vision and roadmap for the IntelliJ Scala plugin by understanding developer workflows, dogfooding features, running user research and metrics, coordinating with engineering and cross-functional teams, building reference projects, and delivering improvements in build systems, debugging, code insight, and tooling integration.

Lead design and implementation of ML/LLM systems for ingestion, knowledge extraction, retrieval, and reasoning. Build datasets, metrics, pipelines, agentic retrieval and RAG solutions. Establish MLOps, orchestration, observability, and experiment tracking. Collaborate on research agenda, shape ML architecture, and hire and grow the ML team.

Ship AI product features combining engineering and ML; build and improve agent workflows; optimize latency, cost, and reliability; track AI research and turn it into product; build self-improving loops that run experiments and learn from feedback.

Lead and evolve Kineto's visual brand across web, social, and product. Design web pages, social templates, motion and video content, and collaborate with product, marketing, and engineering to ensure brand consistency. Contribute to product design and communicate design decisions to stakeholders.

Design, build, and lead development of AppGlass features; develop AI-first tooling and automation; implement enterprise integrations and deployments across Kubernetes and cloud; and improve reliability, testing, performance, and security for production use.

Develop and maintain SFT and RL post-training pipelines for multi-step coding agents, train and adapt LLMs for agent workflows, build evaluation and simulation environments, design metrics and evaluation frameworks, analyze results to improve models and datasets, and collaborate with research, product, and infra teams to ship models into JetBrains IDEs.

Develop and maintain foundational Kotlin core libraries used by many developers; contribute to language features, tools, and specifications; participate on a design committee; become domain expert in CS topics; write design documents; focus on API design and performance engineering.

Design, train, and deploy large language models from scratch; convert business requirements into technical specs; collect and process pretraining/fine-tuning datasets; run distributed training on large GPU clusters; support and improve production ML subsystems and tooling.

Lead design and implementation of AI-native features for PyCharm and Python tooling. Architect integrations (MCP, agents), prototype and ship features, guide engineering decisions, evaluate AI tools/providers, and expose IntelliJ Platform capabilities to AI workflows while collaborating with product, ML, QA, and senior developers.