Teams at JetBrains

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.

Leads JetBrains’ global external communications and PR strategy, strengthening reputation, expanding US visibility, developing thought leadership and spokespersons, managing crisis communications, and building the company’s PR operating model. Oversees distributed teams, agencies, budgets, media relationships, strategic narratives, playbooks, editorial calendars, and perception studies across regions.

Own the strategy, roadmap, metrics, and adoption of JetBrains Context, a managed retrieval layer for AI coding agents. Partner with engineering, ML, platform, IDE, marketing, sales, and customer success teams to improve indexing, retrieval quality, integrations, reliability, cost, and latency. Define product direction, evaluate competitors, establish quality metrics, communicate with customers and developer communities, and drive enterprise adoption.