Top Tech Jobs & Startup Jobs in NYC, NY

This position involves supporting client-based data analytics and engineering projects, utilizing SQL, Python, or R, and presenting findings clearly.

Manage client accounts and execute integrated marketing campaigns for sports and entertainment clients, including event management and stakeholder communication.

Account Executives will perform full-cycle sales for an AI-powered RFP automation platform, requiring substantial prospecting and deal ownership.

The role involves staff augmentation, requiring a bachelor's degree and over five years of IT experience, specifically with Cognos TM1.

As an AI Vision Solution Architect, you will architect AI-powered solutions, manage projects, collaborate with teams, and build customer relationships to enhance AI vision products.

Manage a portfolio of high-value real-money gaming players, building relationships and delivering personalized communications, rewards, and experiences. Drive retention, reactivation, engagement, and player lifetime value through data-informed initiatives. Resolve VIP requests and escalations professionally, collaborate with Product and Marketing, provide player insights, and ensure responsible gaming and regulatory compliance. The role is fully remote, primarily aligned with US time zones, with occasional weekend availability required.

Build and lead the People function, owning HR operations, employee relations, compliance, performance management, compensation, benefits, HRIS, payroll coordination, immigration, onboarding, and offboarding. Partner with Legal, Finance, Recruiting, Compliance, and leadership to establish scalable policies, develop managers, support organizational design, and build a high-performance culture in a rapidly growing technology company.

AREA 17 seeks talented freelancers to join their community, where they value relationships and collaboration in arts, education, and design.

As a Senior Frontend Engineer, you will lead the development of complex UIs, ensuring high performance and excellent UX while collaborating closely with design and product teams.

The role involves leading engineering efforts for ML infrastructure, optimizing distributed training, and enhancing AI platform efficiency in drug discovery.