Top Tech Jobs & Startup Jobs in London

Leads and manages the Applied AI engineering team, setting technical direction, roadmap, architecture, and delivery standards. Provides hands-on leadership for agentic AI workflows, integrations, automation pipelines, and SaaS platforms. Owns service operations, security, governance, supplier relationships, contracts, budgets, incident management, and continuous improvement. Partners with business and technology stakeholders to deliver reliable, cost-effective AI-enabled systems and measurable outcomes.

Administer and improve SaaS platforms and AI-enabled services, build agentic AI workflows and automation pipelines, and integrate models, tools, APIs, business data, and cloud systems. Monitor service health, cost, usage, and performance; support testing, evaluation, incident triage, governance, documentation, and secure change management. Partner with engineering, security, vendors, product teams, and business stakeholders to deliver reliable applied AI services and operational improvements.

Leads commercial finance business partnering, evaluates growth opportunities and capital deployment, builds investment frameworks and business cases, assesses risk, and monitors deal and strategy performance. The role translates operational metrics into commercial insights, advises senior leaders, supports strategic negotiations, and establishes financial governance and reporting processes in a high-growth environment.

Build and operate applied and agentic AI workflows, SaaS platforms, integrations, and automation pipelines. Administer configurations, access, environments, and lifecycle management while monitoring service health, cost, usage, and performance. Partner with engineering, security, vendors, and business teams to implement secure integrations and automations. Conduct testing, evaluation, incident triage, documentation, governance, and continuous reliability improvements.

Build and improve fast, accessible, reliable customer-facing web experiences across search, discovery, and booking. Responsibilities include developing reusable components and design systems, optimizing performance and Core Web Vitals, integrating APIs, testing and monitoring features, supporting web and mobile journeys, contributing to frontend migration, collaborating with Product and Design, and mentoring engineers.

Develop and improve machine learning products for pricing, recommendations, and other business areas. Translate ambiguous business problems into practical models, experiments, and evaluations; collaborate with engineering, product, and analytics teams to deploy and monitor production models; investigate performance changes; and communicate insights to support evidence-based commercial decisions.

Lead the strategic roadmap for booking and post-order platform capabilities. Own scalable backend workflows, APIs, data foundations, automation, and integrations across engineering, finance, operations, and customer service. Improve data accuracy, operational efficiency, reconciliation, and customer contact handling while guiding technical strategy, migration from legacy systems, metrics, and cross-functional decision-making.

Lead the long-term vision and roadmap for Trading OS, a technical platform supporting pricing, packaging, promotions, and availability. Partner with engineering, revenue management, and commercial teams to build APIs, tools, data models, and scalable capabilities. Drive experimentation, platform adoption, data quality, documentation, and measurable commercial outcomes while reducing engineering dependency and enabling safe, AI-assisted decision-making.

Own budgeting and forecasting activities, including Anaplan financial models and working-capital analysis. Manage daily cash operations, liquidity, investments, and 13-week cash-flow forecasts. Assess FX, counterparty, and interest-rate risk, while driving finance process automation and continuous improvement. Collaborate with Commercial Finance, FP&A, Reporting, Finance Operations, and senior stakeholders to provide insights, improve controls, and support strategic decisions.

Build and optimize automated, multi-channel CRM journeys using Braze, branching logic, API triggers, real-time data, segmentation, personalization, and Liquid. Monitor campaign performance through Looker and related analytics tools, maintain reports, execute rigorous QA, and identify workflow automation opportunities using n8n and AI-assisted tools. Collaborate with Marketing, Product, and Engineering to improve lifecycle campaigns and customer experiences across international markets.