Top Tech Jobs & Startup Jobs in London

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.

Own the full software development lifecycle for JetBrains identity and access services. Develop and operate reliable Kotlin-based services, with some Go, supporting authentication, authorization, organizations, memberships, groups, and workspaces. Design new platform features, improve existing production systems, review code, manage integrations, and address JVM and PostgreSQL performance in distributed, multi-tenant SaaS environments.

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.

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.

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.

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.