Top Tech Jobs & Startup Jobs in London

Use SQL and Python to analyse transaction monitoring and fraud rule performance, identify patterns and anomalies, reduce false positives, and prioritise high-risk cases. Partner with FinCrime, Product, Compliance and Data teams to improve controls, data pipelines and detection logic, support scoring and future ML use cases, and translate analysis into actionable recommendations that balance fraud prevention with customer friction.

Senior individual contributor responsible for driving mid-market growth: owning pipeline, prospecting, running demos, closing net-new and expansion deals, building forecasts, and representing Mews at industry events. Focus on data-driven sales, multi-stakeholder deals, and achieving consistent MRR targets in a fast-paced scale-up environment.

Lead and grow engineering teams for Mews' Front of House products, partnering with Product, Design, and Data to deliver guest recognition, personalization, automation, and connected guest journeys. Set technical direction, improve engineering excellence and operational health, drive cross-tribe collaboration, coach leaders, and translate strategy into measurable business outcomes like increased guest engagement and reduced time-to-serve.

Own and optimise the Microsoft Dynamics 365 Business Central ERP for finance and operations. Drive integrations, process automation, backlog prioritisation, stakeholder collaboration, KPI monitoring, and ensure system reliability, compliance, and continuous improvement to support financial and operational goals.

Lead a cross-functional tribe to own AI-powered support and self-service platforms, knowledge infrastructure, support tooling, and the product-feedback loop. Drive build-vs-buy decisions, measure contact reduction and support metrics, track launch impact, and hire/develop Product Builders. Ensure technical architecture, API design, observability, and alignment with Product, Engineering, GTM and Support leadership.

Monitor payment flows and KPIs across PSPs, manage incidents end-to-end in Jira, perform root-cause analysis, maintain runbooks, coordinate with internal teams and vendors, produce KPI and vendor performance reports, and use AI tools to streamline operations and surface anomalies.