Top Tech Jobs & Startup Jobs in NYC, NY

Own the vision, roadmap, and lifecycle of AI-powered products for consulting and advisory workflows. Translate practitioner needs into scalable solutions involving document intelligence, forecasting, anomaly detection, conversational AI, and generative content. Partner with consultants, data scientists, engineers, designers, and business teams to drive discovery, delivery, adoption, metrics, responsible AI, budgets, and measurable business outcomes. The role is onsite in New York City.

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

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.

Ownership of hardened batch pipelines, feature infrastructure, model governance (versioning, lineage, reproducibility), and third-party data integrations. Implement MLOps tooling for consistent, auditable deployments, keep systems audit-ready, and integrate surveillance, KYC, screening, market, and blockchain data sources in a regulated environment.

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.

Lead end-to-end design and deployment of production AI systems for marketing, sales, and operations. Build predictive models, experimentation and optimization frameworks, and LLM-powered applications (RAG, orchestration, structured extraction). Translate business workflows into production systems, partner with engineers to harden solutions, own client relationships, and mentor data scientists and engineers.