Top Tech Jobs & Startup Jobs in London

Lead and scale Nebius' UK&I sales organization, owning regional revenue, pipeline, forecasting, go-to-market strategy, cross-functional alignment, and talent development while coaching account executives and driving enterprise and startup sales of complex AI/cloud solutions.

Provide IP and IT legal support: review and draft license and SaaS agreements, manage IP outsourcing and software licensing, advise on open-source compliance, collaborate with commercial teams on IP terms, and handle trademark and other IP issues.

Serve as a bridge between GTM teams and technical delivery to define, prioritise, and deliver scalable Salesforce solutions. Lead intake, run discovery workshops, document requirements and acceptance criteria, support Agile delivery, coordinate UAT, improve reporting, automation and data quality, and drive governance and change across Sales, Marketing, and Customer Success.

Design, build, and operate Nebius Serverless AI core components (control plane, scheduler, runtime, autoscaler, APIs). Solve cold-start latency, GPU scheduling, multi-tenant isolation, routing. Drive architecture, write design docs, raise engineering standards, run SRE practices, lead incident response, and work with customers and product teams to deliver a scalable, low-latency platform.

Analyze and administer compensation programs including market pricing, salary structure maintenance, job classification, pay equity analysis, budgeting for merit/bonus cycles, HRIS data audits, reporting, policy documentation, and training HR and managers.

Drive complex VPC and cloud-networking programs from goals to production: define outcomes, expose dependencies, manage risks and schedules, coordinate cross-team delivery, validate rollouts, and ensure operational readiness.

Design, implement, and operate internet-scale crawling and ingestion systems. Build URL discovery, deduplication, scheduling, and extraction pipelines. Ensure high-throughput, reliable operation, monitor coverage/freshness/quality metrics, manage resource usage and costs, and collaborate with indexing and ML teams to meet retrieval requirements.

Manage and lead IT support teams in data centers, overseeing maintenance, incident resolution, and support processes for GPU clusters and IT infrastructure.

Responsible for tuning GPU cluster performance, troubleshooting InfiniBand networks, integrating hardware, enhancing automation, and managing GPU devices in HPC.

The Senior Site Reliability Engineer will ensure fault-tolerance and uninterrupted operations, using innovative cloud technologies, alongside improving CI/CD processes.