Top Tech Jobs & Startup Jobs in NYC, NY

Provide customer-facing technical support for Sigma's SaaS platform: diagnose and resolve complex SQL and data issues, collaborate with product and engineering, develop diagnostic tools and best practices, participate in on-call rotation and cross-functional projects to improve support operations and automation.

Design, build, and maintain backend distributed services and APIs for an interactive data-warehouse-backed platform. Use Rust/Go/Node/GraphQL and Kubernetes, triage and debug production issues, optimize systems and SQL, and collaborate in design and code reviews to support a fast-growing cloud application and user base.

Enterprise sales role targeting Mid-Market digital-native accounts in New York. Own the full sales cycle—prospect, qualify, demo, proof of concept, negotiate, and close—while maintaining accurate pipeline and forecasts in Salesforce. Collaborate with partners and internal teams, travel ~25% across New York and the East Coast, and drive new revenue and customer advocacy in the business intelligence and data analytics space.

Build and maintain compiler infrastructure that converts spreadsheet interactions into optimized SQL for cloud warehouses. Design IRs, apply query optimizations, work in Rust and TypeScript, debug complex issues, and collaborate on architecture and product features.

Sell Sigma's data and analytics platform to new customers in NYC. Own the full sales cycle from outreach to contract, generate pipeline, maintain Salesforce records, collaborate with partners and team members, and meet quota by bringing on new customers and building advocates.

Design, prototype, and productionize AI/ML systems (recommendations, NL interfaces, agentic workflows). Build and scale ML infrastructure, partner with product/design/engineering, and solve UX problems at the intersection of AI and BI.

Design, prototype, and productionize AI systems (recommendations, natural language interfaces, agents). Partner with product and engineering to identify AI opportunities, build scalable ML infrastructure, and manage the full ML lifecycle from data curation through training, deployment, and monitoring.

Build and maintain backend distributed services and APIs for an interactive data platform. Debug, triage, and resolve system issues, design and implement features, and collaborate on design and code reviews to support a growing cloud application and user base.

Build elegant, responsive front-end user experiences using modern frameworks. Own significant product features from design to launch, collaborate with product, UX, and backend teams, create interactive visualizations for structured and unstructured data, and optimize performance and interactivity for large-scale data applications.

Conduct outbound prospecting and cold calls, qualify and educate target accounts, partner with Account Executives to create sales-ready opportunities, use Salesforce/Outreach/ZoomInfo/LinkedIn for workflows, and consistently meet a quota of 10 qualified demos per month.