Top Tech Jobs & Startup Jobs in London

Lead design and execution of employer brand campaigns and events to attract talent, support hiring, and reinforce EVP. Partner with Talent Acquisition, HR, and Communications, manage vendors, track campaign ROI, and ensure consistent storytelling and brand standards globally.

The role involves qualifying leads, engaging with prospects, building relationships, and supporting the sales team in expanding Tavily's presence across EMEA.

Lead full sales cycle across strategic enterprise accounts in EMEA: build pipeline via outbound, partnerships and events; manage complex multi-stakeholder deals using MEDDPICC and Command of the Message; engage technical and executive buyers; partner with product and engineering; exceed revenue targets and deliver accurate forecasts.

Lead Nebius’s M&A and strategic investment activities: source and evaluate targets, run diligence, build financial models and business cases, drive deals to close, and support post-merger integration while managing stakeholder relationships.

The Corporate Development Associate supports capital formation, manages financial analysis, executes financing transactions, and collaborates with stakeholders on growth initiatives.

Serve as embedded internal controls and risk partner for corporate functions (Tax, Treasury, HR). Lead SOX walkthroughs, risk assessments, control design, remediation, audit coordination, and automation efforts to improve control effectiveness and reporting. Support transformations, system implementations and stakeholder engagement to balance risk mitigation with operational practicality.

Manage end-to-end global employee relocations and own the global mobility program: policy design, vendor management, compliance (immigration, tax, employment), budgeting, KPI reporting, and continuous improvement across multiple countries and stakeholders.

Lead and coordinate complex, cross-functional compute hardware and software programs (kernel, virtualization, drivers, firmware, GPUs). Manage dependencies, risks, execution, deployment automation, validation, observability, and customer/vendor interactions to scale large GPU/HPC cloud infrastructure.

Lead applied research and system design for agent-native search: develop multi-stage retrieval, ranking, and grounding methods for LLMs working with real-time web data; define evaluation paradigms; optimize relevance, latency, and cost; deploy solutions to production and mentor the engineering team.

Design, train, and deploy retrieval, reranking, and relevance ML models for a production agent-native search platform. Build embedding-based indexing and large-scale retrieval systems, define evaluation metrics and pipelines, optimize latency/quality/cost trade-offs, and collaborate with engineers to integrate models into 24x7 production services.