Top Tech Jobs & Startup Jobs in NYC, NY

Owns enterprise deal pricing execution, including financial modeling, ROI analysis, staffing inputs, pricing frameworks, and margin reporting. Builds dashboards, coordinates deal reviews across Sales, Finance, Accounting, Legal, and EPD, and tracks approvals and cycle times. Identifies process improvements, supports forecasting and P&L analysis, and contributes to pricing strategy, proposals, and value engineering initiatives.

Lead and grow a research team focused on generative AI, LLMs, post-training, evaluation, and agent/RL environments. Define multi-year research roadmaps, drive execution from prototype to deployment, collaborate cross-functionally, publish and present externally, and cultivate an inclusive, high-performing team culture.

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

Lead end-to-end product design for mission-critical government and defense workflows. Work forward-deployed with customers to define ambiguous requirements, create wireframes, high-fidelity mockups, and interactive prototypes, design data-dense dashboards and mapping interfaces, collaborate in code with engineers, contribute shared design patterns, and help grow the design team through reviews and interviews.

The Senior Infrastructure Software Engineer will architect and scale multi-cloud infrastructure, focusing on compliance, observability, and developer efficiency for enterprise AI deployments.

As a Software Engineer for the ARC team, you'll design and implement secure backend systems, manage model inference layers, improve engineering standards, and collaborate with teams to meet government agency needs.

The role involves owning product areas, working on backend, frontend, and with LLMs/ML models, delivering high-quality experiments, and engaging customers.

The Principal Solutions Engineer drives AI adoption through technical strategy and cross-functional collaboration, influencing product direction and mentoring peers.

Lead enterprise AI integration efforts, developing custom AI solutions, deployment strategies, and ensuring client satisfaction through hands-on support and collaboration with customer teams.

The Platform PM defines the core platform needs, prioritizes work, oversees capability graduation, and ensures high-quality, reliable infrastructure for deployment across AI systems.