Top Tech Jobs & Startup Jobs in NYC, NY

The Technical Lead Manager will build and optimize Scale's ML training and inference platform, collaborating with ML teams to advance model and data curation technologies.

Solutions Engineers at Scale engage with customers to deliver tailored demos and prototypes, develop technical expertise in Generative AI, and manage project scopes for enterprise use cases, ensuring successful technical implementation and customer satisfaction.

The Forward Deployed Product Manager is responsible for driving enterprise deployments, building relationships with senior stakeholders, and translating customer needs into actionable product direction. This role requires managing product outcomes and operational challenges while ensuring successful integration and implementation of AI solutions within large organizations.

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.

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

The Senior Accountant will manage daily accounting operations, support month-end closing, enhance reconciliations, and streamline processes for efficiency.

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.

Own and scale Scale's coding AI product portfolio: set strategy and roadmap for benchmarks, training data, RL environments and evaluations; coordinate ML, engineering, operations and GTM; manage contributor networks, governance, contamination prevention, infrastructure, and customer engagements to convert benchmark credibility into revenue.

Lead architecture and technical direction for Scale's Generative AI Data Engine, embedding into high-priority Contributor teams to unblock delivery, overhaul platform infrastructure for LLM-native workloads, ensure scalability/reliability, mentor engineers, partner with product/leadership, and own large end-to-end backend, frontend, and ML system initiatives.