Top Tech Jobs & Startup Jobs in NYC, NY

Design and implement cloud-native backend systems for federal customers enabling agentic AI capabilities. Build data pipelines, optimize retrieval, create guardrails and agent orchestration, define requirements with stakeholders, and participate in customer engagements to deliver secure production features.

The Enterprise Account Executive will drive revenue growth in financial services by selling AI solutions to major banks and fintechs, managing the full customer lifecycle, and building strategic relationships with executives.

Lead Product Managers to integrate Scale products in complex environments, aligning product strategy with market demand and championing field feedback.

Lead and grow a 6–8 person engineering team building cloud-native backend systems, distributed platforms, and ML tooling for federal customers. Split time between technical execution and people management, collaborate cross-functionally, ensure federal compliance and security, engage with customers, and contribute to product and platform roadmap. Must be eligible for TS/SCI clearance and commute to office three times weekly.

As a Machine Learning Research Engineer, you will research and train models, build agents using proprietary algorithms, and apply techniques to real enterprise datasets.

As a Senior Software Engineer, you will lead the development of scalable backend systems, manage feature development lifecycles, and engage with stakeholders to translate mission needs into technical requirements while ensuring implementation meets criteria.

Design and implement end-to-end AI agent systems, collaborate with cross-functional teams, and oversee deployment and performance evaluation in production environments.

The Staff Software Engineer will lead implementations, mentor engineers, define technical strategies, and communicate with stakeholders while enhancing federal engineering capabilities.

Lead hands-on research and engineering across agentic ML: train and fine-tune models, design evaluation and observability, build production improvement loops and tooling, prototype agent architectures, partner cross-functionally to productionize research, and set technical direction while mentoring senior engineers and scientists.

Lead and grow the enterprise product design team: set design direction, hire and develop designers, drive end-to-end design execution, raise craft standards, contribute to the design system, root decisions in user research, and define human-agent interaction patterns for AI workflows.