Top Tech Jobs & Startup Jobs

Lead real-time and post-trade surveillance for CFTC-regulated event contracts, investigate and document suspicious trading behavior, and escalate findings. Define detection logic and tune alerts with engineering and data science, build surveillance frameworks and controls mapped to DCM principles, support KYC/AML monitoring, and partner with Legal, Risk, and Compliance to scale the function.

Lead the design and implementation of technical solutions, translating business requirements into actionable architectures while collaborating with clients and internal teams.

The Senior Software Engineer will design and build full-stack applications using React and Java, ensuring scalable systems, mentoring juniors, and collaborating with cross-functional teams.

As a Senior iOS Software Engineer, you will lead the development of a native mobile app for an AI platform, manage architecture, UI, and networking, and collaborate with backend and AI teams. Responsibilities include managing App Store releases, implementing push notifications, and mentoring junior engineers.

Contribute to development, deployment, and monitoring of production ML models; perform data cleaning, analysis, and visualization; collaborate with cross-functional teams to deliver AI-driven business solutions and communicate insights to stakeholders.

You will build agentic AI products across web, backend, and iOS, owning features end-to-end and mentoring junior teammates.

The Associate Project Manager will support client onboarding, manage project execution, and facilitate communication between clients and internal teams, ensuring operational efficiency and compliance tracking.

Own data strategy for a business unit to enable AI use cases: assess data readiness, partner with engineers to land and transform data, build knowledge bases and ontologies, define roadmaps and governance, and communicate with stakeholders to ensure ethical, production-ready AI/ML deployments.

Own and drive data strategy for a business unit, assess data readiness, partner with engineers to prepare data and knowledge bases, define roadmaps and governance, and align stakeholders to enable AI use cases and agentic workflows.

The Senior AI Product Manager will develop AI solutions for sports organizations, translating their needs into high-impact products, managing the product lifecycle, and ensuring adoption and measurable outcomes.