Top Tech Jobs & Startup Jobs in NYC, NY

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

The Regional Manager conducts Loss Control Surveys for commercial auto accounts, manages scheduling, reports findings, and collaborates with underwriters to ensure safety and compliance in the assigned territory.

The Broadcast Studio Engineer will manage engineering operations, troubleshoot broadcast systems, provide client support, and maintain broadcast equipment.

Analyze social and digital campaign performance and social listening data to produce dashboards, reports, and actionable recommendations. Collaborate with account, content, and strategy teams to inform campaign planning, ensure reporting accuracy, and research emerging social trends to improve client outcomes.

Design, build, and maintain data integration, warehouse, and BI solutions supporting subscriber acquisition, campaign and storefront systems. Create schemas, stored procedures, dashboards, and reports; optimize queries; aggregate multi-source data; ensure data quality, PII compliance, and platform observability. Collaborate across teams, mentor engineers, and provide executive reporting and analytics for video/OTT products.

As CTO and co-founder, you will join a Cold Start venture to prototype and launch products, recruit teams, and build impactful companies.

As a Financial Engineer, you will model, create, backtest, and launch index strategies, utilizing Python and collaborating with clients and teams.

The Event Operations Manager oversees live and digital events, managing budgets and vendors, ensuring successful execution and attendee satisfaction.

The Senior Content & Communications Lead will produce high-impact external content, translate technical wins into audience-ready writing, and shape the editorial strategy at Loka, focusing on B2B tech and engineering-related topics.

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.