Top Tech Jobs & Startup Jobs in London

Manage design, implementation, and governance of global sales compensation plans. Lead quota setting, incentive modelling, payments, performance analysis, documentation, training, and cross-functional stakeholder engagement to ensure fair, motivating, and compliant programs.

Operate, maintain and improve AWS environments to ensure reliability, security, and scalability. Monitor system health, diagnose incidents, implement infrastructure as code and automation, enhance monitoring and incident response, collaborate with cross-functional teams, and drive continuous platform improvements and documentation.

Lead and scale the Helios operational data platform and Analytics & Insights function. Own Snowflake-based data platform, data modelling, governance, and self-service APIs. Deliver insight-driven dashboards, define KPIs, drive data-informed decisions, evolve operating models, and embed AI adoption to improve technology operations.

Lead design, delivery, and embedding of sales and CSM methodologies to drive behaviour change and measurable sales performance. Coach quota-carrying sales reps and managers, deliver blended learning (virtual, live, digital), use enablement tech (Gong, Spekit), and partner with leaders to align learning to business goals and measure impact.

Provide senior technical leadership across multiple teams to shape architecture, drive modernisation toward cloud-native microservices, reduce technical debt, improve observability and automation, mentor engineers, and apply AI-assisted and GenAI approaches in production.

Lead development and execution of content partner marketing strategies for LeapSpace. Coordinate cross-functional stakeholder messaging, partner approvals, co-marketing, sales enablement, and global promotional campaigns to drive partner awareness, adoption, and commercial impact.

Lead development and evaluation of large-scale search, retrieval, and RAG systems. Design and optimize retrieval architectures, embeddings, and re-ranking; build evaluation frameworks for IR and generative AI; run experiments and A/B tests; integrate domain ontologies and structured biomedical data; collaborate with engineering, product, and domain experts to deploy production-ready solutions and ensure responsible AI practices.

Work with stakeholders to gather, analyse, and document business requirements, translate them into user stories and specifications, design and improve systems and workflows, support testing and QA, and enable data-informed process improvements including AI-enabled solutions.

Lead design, delivery and support of Microsoft 365 collaboration and Power Platform solutions. Drive governance, security, and scalable M365 capabilities, mentor engineers, act as technical escalation, and collaborate with stakeholders to improve user adoption and productivity.

Lead a multidisciplinary engineering team building AI-powered services for identity, fraud, and behavioral intelligence. Drive architecture, model deployment pipelines, inference APIs, data/feature systems, DevOps/SecOps standards, and partner with Product and ML Research. Hire, mentor, and ensure high-quality delivery, observability, and modern MLOps/LLM practices.