Top Tech Jobs & Startup Jobs

The Senior Sales Specialist will drive sales strategies for fixed income and equity solutions, manage client relationships, conduct product presentations, and maintain sales forecasts to achieve targets.

The role involves managing the AI product lifecycle, building LLM-based workflows, defining product requirements, monitoring performance, and collaborating with teams to ensure effective AI solutions.

The Manager of Analytics Development leads a team to innovate and maintain applications within analytics technology, focusing on cloud migration and performance improvements for financial services.

As a Technical Product Manager, you will define and manage Azure-based infrastructure patterns, guiding application migrations to Azure through effective governance and technical leadership.

The role involves leading quality engineering solutions, designing testing strategies for SaaS platforms, managing test data, collaborating across teams, and integrating automated testing practices into DevOps workflows.

The Senior Product Manager will lead the strategy and execution for integrating LSEG's MCP tools into AI workflows, developing integration patterns, onboarding processes, and ensuring workflow reliability and safety for autonomous AI systems.

Lead one or more News Engineering squads to deliver low-latency, real-time content enrichment and delivery. Hire and develop engineers, ensure reliability, quality, and sustainable on-call practices. Guide design and implementation of content processing and NLP enrichment, promote CI/CD, observability, automated testing, and responsible use of AI-assisted tools. Partner with product and architecture to balance speed, quality, and long-term system health.

Design, develop and deliver enterprise-grade software and AI-powered analytics for financial markets. Build robust full-stack solutions using cloud platforms, CI/CD, testing and automation. Collaborate across cross-functional, global teams to solve complex engineering problems and continuously improve products and workflows.

Lead engineering role building enterprise-grade, scalable software for financial data and AI-powered analytics. Responsibilities include system architecture, performance optimization, CI/CD and cloud automation (AWS/Azure), mentoring engineers, driving AI-assisted engineering practices, and collaborating with cross-functional teams across regions.

Design, develop and deliver enterprise-grade software for financial data and analytics. Build AI-powered analytics, implement CI/CD and test automation in cloud environments (AWS/Azure), work across the full stack, solve complex engineering problems, and collaborate with cross-functional teams globally.