Top Tech Jobs & Startup Jobs in NYC, NY

Build full-stack, data-intensive AI product features across React interfaces, APIs, data models, and backend services. Develop workflows that make AI agent behavior understandable and controllable, integrate enterprise systems such as SAP, Salesforce, and Workday, and contribute to platform architecture, reusable components, code reviews, and technical decisions. Partner with product, design, data, and infrastructure teams to turn ambiguous problems into polished, reliable products.

Own AI-driven enterprise product features from discovery and strategy through execution, iteration, adoption, and measurable business impact. Define roadmaps, requirements, success metrics, and engineering backlogs; prioritize AI use cases by ROI, feasibility, risk, and time-to-value. Partner with engineering, data science, sales, marketing, delivery, and customers to build B2B products across enterprise platforms, support implementations, and drive product positioning and launches.

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

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.