Top Tech Jobs & Startup Jobs in NYC, NY

Performs audit fieldwork, accounting work, testing, documentation, workpaper preparation, and financial statement or single audit support. Collaborates remotely with teammates and clients, manages deadlines, researches audit matters, exercises judgment, and takes ownership of assigned engagement sections while developing toward senior-level responsibilities.

Serve as the subject matter expert for industrial and environmental health business applications. Apply expertise in industrial hygiene, occupational and environmental health, DoD or military environments, information technology, software development, and related health systems. Support understanding and implementation of occupational and environmental health programs and requirements.

Oversee, retain, and grow a multi-line commercial insurance book of business. Manage renewals, policy placements, underwriting analysis, carrier negotiations, compliance, billing coordination, and client relationships across Workers’ Compensation, Liability, Property, Cyber, EPLI, Umbrella, and related coverages. Support cross-selling, carrier transitions, reporting, operational improvements, and consultative risk guidance while contributing to profitability, premium growth, and retention.

Leads global indirect procurement and supply chain operations for a battery manufacturing facility. Responsibilities include managing procurement and vendor management teams, developing sourcing strategies, negotiating supplier contracts, managing supply chain risks, optimizing costs and processes, ensuring quality and delivery compliance, and analyzing KPIs to drive continuous improvement and sustainability.

Build and operate production AI capabilities using Python, LLMs, retrieval, and intelligent automation. Responsibilities include integrating LLM APIs, developing retrieval-augmented features, creating evaluation and prompt frameworks, applying security and compliance controls, monitoring production systems, and collaborating across engineering, data, security, product, and operations teams.

Own the strategy, roadmap, commercial success, and lifecycle of hygienic sensors and instrumentation. Translate customer and market insights into product requirements, build business cases, lead launches, partner with engineering and sales, track portfolio performance, and manage end-of-life decisions. The role requires technical product experience, financial and P&L understanding, customer engagement, and up to 25% travel.

Build and maintain Plane’s cross-platform Flutter mobile app, owning features from interface through data and native integrations. Work on widgets, notifications, webview-based editing, caching, persistence, and compatibility across multiple server versions. Collaborate with backend, design, product, and QA teams while writing tests and maintaining consistent architecture. The role requires production Flutter experience, clean architecture, Bloc-based state management, dependency injection, unit and widget testing, and familiarity with native Android and iOS development.

Build and govern reliable, scalable production infrastructure across cloud environments. Responsibilities include DevOps guardrails, CI/CD, Terraform-based infrastructure, deployment strategies, developer platforms, observability, SLOs, incident response, capacity planning, automation, chaos engineering, and cloud optimization. The role partners with engineering teams to improve resilience and supports .NET services across Windows and Linux.

Owns Xint’s technical content and developer relations strategy for application security practitioners. Conducts and publishes original security research, creates technical tutorials and demonstrations, supports conference talks and webinars, and engages practitioner communities. The role requires hands-on understanding of vulnerabilities, exploit reproduction, security tooling, and AI-assisted security, along with strong technical communication and public speaking skills.

Build and deploy production generative AI systems for Typeform, including LLM applications, RAG, agentic workflows, APIs, machine learning pipelines, and evaluation systems. Design scalable infrastructure using Python, AWS, Docker, Kubernetes, Kafka, Airflow, and MLflow. Improve AI quality, reliability, security, performance, and cost through automated evaluation, monitoring, safeguards, and standardized engineering practices. Collaborate with Product, Engineering, Data Science, Data Engineering, and Analytics teams.