Top Tech Jobs & Startup Jobs in London

Entry-level RevOps analyst supporting Marketing Operations to analyze demand generation, pipeline performance, GTM trials, win/loss and retention. Partner with Sales, SDRs, and Product Marketing to surface insights, monitor funnel metrics, maintain CRM data quality, and recommend optimizations to drive pipeline growth and retention.

Support Marketing and Sales by tracking campaign and funnel performance, analyzing win/loss and retention trends, maintaining CRM data quality, and delivering insights to optimize demand generation and GTM strategies.

Own customer success for medium-to-large EMEA enterprise accounts: drive adoption, define measurable outcomes, run QBRs, analyze health metrics (Gainsight/Salesforce), mitigate risk, enable expansion, and collaborate cross-functionally to improve Entrust Identity solutions. Travel ~10–15% EMEA.

Manage a portfolio of SME customers across EMEA to drive adoption, onboarding, retention and growth. Monitor health scores, deliver technical and strategic guidance, collaborate with Sales and Product, identify cross-sell opportunities, and act as the customer advocate to improve product and service outcomes.

Design, develop, and maintain Entrust's iOS SDK for document capture. Implement camera capabilities, on-device image processing and ML, integrate RESTful APIs, improve CI/CD and test automation, collaborate with product and design to deliver accessible, high-quality SDK features across devices.

The Senior Oracle EBS Business Systems Analyst drives solution strategy for Oracle applications, optimizing capabilities for global business processes while delivering scalable solutions through collaboration and analysis.

The Principal Oracle Business Systems Analyst will lead the implementation and optimization of Oracle solutions, guide business processes, and mentor analysts. Responsibilities include project management, business analysis, system configuration, and collaboration across functions to ensure effective use of Oracle applications for the global business.

Lead a team of applied scientists to develop computer vision and ML models, focusing on vision-language models and efficient model training while driving research and product development.

Build and productionize document classification and extraction ML systems (including LLM/VLM-based solutions). Design training/evaluation pipelines, optimize GPU inference and latency, lead technical design from RFC to production, drive reliability/observability, mentor engineers, and collaborate cross-functionally to deliver scalable, high-accuracy document fraud detection and verification features.