Top Tech Jobs & Startup Jobs in NYC, NY

The Equipment Setup employee assembles beverages, ice, and condiments for flights, maintaining sanitation and documentation standards while working as part of a team.

The Designer will partner with Creative Team members to create culturally relevant designs using AI tools and emerging technologies for various campaigns and channels, ensuring high-quality execution and managing multiple projects.

The Senior Software Engineer will build AI solutions for clinical workflows, collaborating with teams to enhance software architecture and mentor other engineers.

Lead and execute end-to-end growth marketing: design multi-channel acquisition campaigns, own funnel KPIs, collaborate with Product/Engineering/Sales, develop brand and positioning, analyze metrics, and run experiments to scale user acquisition, engagement, and retention.

Oversee credit operations for residential bridge loans, manage workflows, ensure compliance, lead team, and drive process improvements.

The SEO Analyst will conduct keyword research, optimize content, perform competitive analysis, and track SEO performance while collaborating with editorial teams to enhance organic traffic.

Designs, delivers, and scales cohort-based and leadership development programs across the agency. Partners with business divisions to assess needs, create customized learning interventions, manage vendors, evaluate program impact, and support executive coaching. Facilitates training, builds internal facilitator resources, and collaborates on senior leader development initiatives.

The AI Engineer will build AI-powered applications, prototype solutions, implement workflows using LLMs, and manage sub-projects while improving internal tools.

The VP of Global Channels & Alliances leads the global partner channel strategy, overseeing partner relationships, managing sales performance, and collaborating with cross-functional teams to drive revenue growth.

Build and own ML backend infrastructure for robotics sensor and video data: design data collection and storage pipelines, optimize storage/processing, deliver analytics/monitoring/visualization, and support ML teams by creating tooling to accelerate model training, deployment, and production monitoring in manufacturing environments.