Top Tech Jobs & Startup Jobs in NYC, NY

Lead strategy, roadmap, and delivery for applied AI products in markets: discover user reasoning, prototype and validate AI hypotheses, ship production LLM/RAG/agent solutions with evaluation standards and regulatory guardrails, and translate research frontier advances into commercial outcomes.

Hands-on engineering roles to modernize and scale FTSE's cloud-native, low-latency index and data platforms. Work across software and data engineering, cloud, SRE, and DevOps domains focusing on performance, data quality, reliability, CI/CD, automation, and AI-assisted tooling while collaborating with global teams.

Define and drive the vision, roadmap and delivery of LSEG's AI Core Platform. Own enterprise AI platform capabilities (AI Gateway, MCP SDK, IAM, orchestration, scale, shared services), establish standards and APIs, partner with Engineering and Security to deliver secure, scalable platform services, drive developer adoption, monitor performance and metrics, and engage cloud and technology partners to support enterprise AI at scale.

The role involves providing operational coverage for CDSClear during US market hours, managing trade operations, client support, and reporting activities, while ensuring strong operational control and collaboration with Paris teams.

Lead private markets research for FTSE Russell, producing client-facing reports and presentations across private equity, credit, infrastructure and real estate. Use index and external data to deliver cross-asset allocation insights, collaborate with product, sales and global teams, host client events, and expand research using new datasets and analytics.

As a Senior Sales Specialist, you'll drive revenue by selling analytics solutions to financial institutions, collaborate with teams, and manage sales strategies.

The Customer Success Manager engages with clients, focuses on their needs and goals, driving user engagement and identifying growth opportunities across Pricing and Reference Data products.

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.

The Senior Quant Analyst will develop and maintain quantitative data processing pipelines, optimize workflows for financial datasets, and collaborate with various teams for robust system implementations, while supporting CI/CD, monitoring performance, and enhancing team skills.