Jobs at JetBrains

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.

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.

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.

Define and lead the VCS product strategy to evolve version control and code-change workflows into a standalone ecosystem across JetBrains IDEs. Identify workflow gaps, set roadmaps, explore cross-IDE and AI-native review opportunities, align stakeholders, and work with engineering and QA to deliver scalable, platform-friendly solutions while representing the product externally.

Lead and grow a ~50-person ML organization, prioritize high-impact AI projects, set ML technical direction and standards, ensure delivery and measurable business value, and collaborate across products to translate AI research into product innovations.

Design and validate scalable, secure finance system architectures; lead solution discovery, documentation, and governance; engage senior stakeholders and vendors; provide technical leadership, hands-on proofs-of-concept, and cross-functional guidance to reduce delivery risk and accelerate finance transformation.

Lead outbound enterprise sales for an early-stage AI production debugging product across Europe. Self-source and manage full sales cycles from discovery to procurement and contract execution, build pilot programs, engage engineering leaders, and feed product insights to refine positioning and ICP.

Lead the development of strategies to enhance brand recognition globally, oversee marketing campaigns, mentor a brand marketing team, and drive strategic partnerships.

Lead strategy and roadmap for Business Application Development (BAD) Product, owning end-to-end purchasing, subscriptions, licensing, and admin experiences. Drive product discovery using customer research, telemetry, and experimentation; partner with engineering, design, analytics, QA, sales, and finance to simplify fragmented flows and improve adoption, conversion, and support metrics.

Define mid- and long-term strategy for JetBrains products targeting JavaScript/TypeScript developers. Align product direction, GTM, and partnerships with web ecosystem trends, coordinate cross-functional teams, set engineering and QA priorities, represent the company externally, and drive new product directions where niches are unmet.

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 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.

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.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

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 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.

Develop and ship features for Junie across CLI and model integrations, experiment with model setups and ensembling for cost-quality tradeoffs, build and test autonomous agent behaviors for long-term maintenance, and own projects from research to production while using Junie daily to iterate on quality and UX.

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.