Top Tech Jobs & Startup Jobs in NYC, NY

Own security architecture and DevSecOps for SaaS, cloud, and AI applications. Lead vulnerability management, application security, red-team and adversarial testing, multi-tenant isolation, identity and data protection, compliance controls, and AI security. Partner with engineering, platform, SRE, data, and governance teams; participate in incident response, mentor engineers, and communicate enterprise risk to executives. The role requires hands-on coding and leadership across regulated, multi-cloud environments.

Develop and optimize Solana consensus mechanisms, algorithms, and infrastructure for secure, scalable, high-performance blockchain operation. Responsibilities include improving validator coordination, testing through stress and fault-injection scenarios, performance benchmarking, security analysis, documentation, code review, and collaboration with protocol, security, and infrastructure teams.

Leads the technical go-to-market for AI training-data and evaluation programs. Builds relationships with AI researchers, identifies opportunities, designs pilots and expert panels, defines rubrics and quality methodology, and converts successful pilots into production contracts. Owns technical discovery, evaluation metrics, sampling, acceptance thresholds, bid content, and credibility strategies while partnering with commercial and delivery leaders.

Develop seasonal women’s fashion collections for Karl Lagerfeld Paris across sportswear, suits, and dresses. Conduct trend, market, fabric, and style research; create technical packages and design concepts; review prototypes and fittings; and coordinate adjustments with overseas factories. Collaborate with design, merchandising, production, and styling teams to deliver commercially relevant collections aligned with brand standards, SKU targets, and seasonal deadlines.

Leads the strategy, architecture, and delivery of complex data platforms supporting investment research and portfolio construction. Designs Databricks and AWS lakehouse pipelines, data models, governance, testing, observability, and AI-ready metadata. Guides AI-agent engineering workflows, ensures security and reliability, manages cross-team initiatives, and leads technical reviews and engineer development. Partners with investment professionals and product managers to deliver trusted data products and scalable AI capabilities.

Early-career software engineers rotate through two or three technology teams, building systems for a quantitative investment firm. Responsibilities include software development in Python or C++, collaboration with senior mentors, and learning software design, refactoring, testing, and test-driven development. Candidates need a computer science or related bachelor's degree, software-building experience, and preferably knowledge of event-driven architectures, distributed systems, and quantitative methods.

Manage workforce scheduling, staffing plans, and intraday operations to meet service-level and efficiency targets. Build and optimize schedules using forecasted volumes, monitor real-time staffing and queues, identify service-level risks, and recommend solutions. Collaborate with internal stakeholders, respond to intraday support requests, analyze workforce trends, and redesign workflows as needed while maintaining compliance.

Own and improve business workflows across billing, contracting, vendor management, sales operations, and customer operations. Lead cross-functional projects, improve CRM data and reporting, manage customer due diligence, analyze operational data, and recommend scalable systems, automation, and process improvements. The role requires independent execution, sound judgment, and collaboration with senior leaders across the company.

Leads mechanical design and development of Class II medical devices, including neuromonitoring devices and navigated surgical instruments. Responsibilities include hands-on design, testing, assembly, DFM/DFA, CAD documentation, integration with navigation systems, quality control, and collaboration with clinical, regulatory, electrical, firmware, and manufacturing teams. The role requires ownership from concept through commercialization in a regulated medical-device environment.

Lead cross-team platform engineering programs spanning AWS, GovCloud, Kubernetes, infrastructure as code, CI/CD, security, compliance, resilience, and developer tooling. Own architecture decisions, design automated controls and disaster recovery strategies, lead incident escalation, reduce platform complexity, establish engineering standards, mentor engineers, and collaborate with product, data, AI/ML, security, and federal program teams.