Top Tech Jobs & Startup Jobs in NYC, NY

Build and scale post-training, reinforcement learning, memory, context, knowledge graph, data generation, evaluation, and inference systems for long-horizon enterprise AI agents. Design verifiable RL environments, optimize distributed training and serving throughput, run rigorous experiments, and productionize successful models with reproducibility, monitoring, quantization, and rollback practices.

Build and operate production AI agents for enterprise transformation. Own agent harnesses, tools, context, retrieval, classical ML components, evaluations, monitoring, tracing, guardrails, approval gates, and rollback paths. Develop reliable systems that work across complex enterprise landscapes, diagnose production failures, and generalize capabilities across customers. The role requires strong Python and TypeScript, experience with LLM-powered and agentic systems, retrieval, evaluation, and traditional machine learning.

The Forward-Deployed Engineer leads technical project delivery, implementing AI solutions and ensuring customer success through data analysis and system integration.

The Product Manager will shape product strategy for AI-driven features, conduct market analysis, prioritize use cases, and collaborate with engineering and sales teams to deliver enterprise solutions.

The Backend Engineer will design, build, and maintain RESTful APIs, data pipelines, and backend services, focusing on performance and integration with AI systems. Responsibilities include collaborating with various teams, optimizing reliability, and implementing security measures.

The role involves developing and optimizing frontend UI components and dashboards in a fast-paced startup, focusing on performance and user experience.

The Senior Data Engineer designs scalable data solutions to harmonize data across various ERP systems, implementing ETL/ELT pipelines and ensuring data quality and governance.

The SAP Functional Consultant will analyze and modernize enterprise processes using SAP, support S/4HANA migrations, and implement AI-driven automation. Responsibilities include functional consulting, designing solutions, and engaging with customers to ensure operational excellence.

Embed with enterprise customers to run discovery, translate ambiguous needs into concrete requirements, and drive production deployments on the Tessera platform. Own pre- and post-sales engagements, surface product feedback, train customers, and partner with GTM, Product, and Engineering to deliver scalable AI automation outcomes.

The Senior Product Designer will lead the design lifecycle for AI-driven enterprise workflows, create intuitive interfaces, conduct user research, and collaborate with product teams to ensure quality and alignment.