Top Tech Jobs & Startup Jobs in NYC, NY

Build and maintain end-to-end machine learning infrastructure, including data and training pipelines, deployment workflows, monitoring systems, and supporting platforms. Partner with researchers and ML practitioners to productionize models, improve reliability, scalability, observability, reproducibility, speed, and cost efficiency, and automate operational workflows. This engineering-focused role supports reliable production ML systems rather than research-first development.

Own end-to-end software development for a healthcare admissions platform. Build and release React interfaces, REST endpoints, background services, internal dashboards, feature-flag systems, and DevOps automations. Write TypeScript and SQL, develop automated tests, support zero-downtime releases, triage production incidents, and translate customer workflow pain points into scalable product capabilities.

Leads finance strategy, FP&A, accounting, forecasting, budgeting, cash management, compliance, reporting, fundraising, investor relations, and financial systems. Partners with executives and the Board on capital allocation and growth planning, oversees SaaS metrics and ASC 606 revenue recognition, builds scalable processes, and recruits and develops the finance team in a rapidly growing startup.

The Assistant Controller will own core accounting operations, including billing, collections, accounts payable, reconciliations, and month-end close support. Responsibilities include maintaining finance systems, ensuring billing and contract data integrity, managing accounts receivable reporting and collections forecasting, preparing audit support, implementing controls, and improving scalable accounting workflows. The role partners with Sales, Customer Success, and Operations in a fast-paced startup environment.

Build and scale platform infrastructure, backend services, cloud systems, CI/CD pipelines, and internal developer tooling. Own highly available production systems using TypeScript, PostgreSQL, AWS, Docker, and Kubernetes. Improve deployment workflows, observability, incident response, infrastructure automation, security, and system resiliency. Design APIs, event-driven workflows, queues, and integrations while partnering with product, engineering, and operations teams on scalable healthcare technology.

Build and scale frontend architecture, responsive data-rich experiences, shared components, design-system standards, accessibility practices, Storybook documentation, automated quality guardrails, and frontend tooling. Contribute to backend APIs and platform improvements while collaborating with product and design teams. Mentor engineers and improve frontend quality, consistency, maintainability, and scalability across the organization.

Build and scale production machine learning infrastructure, including data and training pipelines, deployment workflows, monitoring, and supporting systems. Partner with researchers and ML practitioners to productionize models, improve reliability, scalability, observability, reproducibility, speed, and cost efficiency, and automate operational processes across the ML lifecycle.

Own a core healthcare software product area, defining product vision, strategy, roadmap, specifications, and lifecycle from concept through launch. Gather customer and internal workflow insights, monitor competitors, market shifts, and regulations, and collaborate with engineering, design, sales, and customer teams to deliver effective products. Mentor junior product managers and make decisions amid ambiguity.

Own product roadmaps from discovery through launch and iteration. Define strategy, prioritize opportunities, conduct customer research, improve the core platform, expand Skilled Nursing features, and build products for new healthcare verticals. Partner closely with AI/ML, Engineering, Sales, Customer Success, BizOps, and Growth teams. Write product requirements, drive high-quality Agile execution, measure impact, and mentor junior product managers.

Owns full-cycle recruiting for engineering, product, design, data, ML, infrastructure, and technical leadership roles. Builds sourcing strategies, engages passive candidates, partners with hiring managers on role definition and interview processes, manages candidate experience and offer closing, and reports recruiting KPIs. The role also improves recruiting workflows, maintains talent pipelines, and provides market intelligence in a fast-growing hybrid startup environment.