Top Tech Jobs & Startup Jobs in NYC, NY

The Senior Data Engineer designs and optimizes data pipelines for marketing analytics, ensuring data accuracy and collaborating with teams to meet reporting needs.

Build and prototype scalable, maintainable media applications for streaming clients using TypeScript/JavaScript. Collaborate with UX, product, and cross-functional teams, deliver apps for TV devices (Samsung, LG), use data-driven experimentation, and mentor junior engineers.

Lead integrated external communications for Disney Advertising across sports, entertainment, and global addressable products. Advise senior leadership, translate complex products into clear narratives, manage media engagement, oversee tentpole event and rights-related communications, support executive visibility, handle crisis and issues management, and drive proactive, insight-driven storytelling in partnership with internal and international teams.

Design, build, and operate high-performance, scalable backend services for media playback and antipiracy. Lead architecture, author technical proposals, participate in on-call rotations, mentor engineers, and contribute to knowledge-sharing across teams. Ensure reliability using cloud platforms, CI/CD, observability, messaging, and caching technologies.

Build and maintain high-performance, scalable backend services for media playback and security. Write, test, and debug code, contribute to architecture and specs, support software lifecycle and on-call rotation, and collaborate across teams to deliver features and resolve production issues.

Lead strategy and execution for the commerce personalization engine, owning roadmap across model improvements, data expansion, and surface experiments. Partner with ML, Data Science, Analytics, and product teams to build propensity and ranking models, design LTV-focused A/B tests and holdouts, ensure model rigor, coordinate cross-functional priorities, and present results and strategy to leadership.

Lead end-to-end product strategy and execution for commerce and growth initiatives across acquisition, engagement, retention, and monetization. Drive experiments, define success metrics, analyze data, collaborate with engineering, design, data science, marketing, and operations, and deliver measurable improvements while balancing short-term wins with long-term platform scalability.

The Lead Machine Learning Engineer will provide technical leadership in developing and deploying advanced ML models, ensuring data integrity, and mentoring engineers.

Support Audience Modeling & Data Science by fielding data-driven sales requests, analyzing campaign performance, troubleshooting ad-tech platforms, producing reports/visualizations, and enabling data activation for ad targeting and revenue growth.

Manage a subset of Professional Services budget for DEEP&T: build and maintain financial models, prepare forecasts/AOP/LRP and variance analysis, reconcile invoices and GL data during quarterly close, produce ad-hoc reports and presentations, and partner daily with Technology and Product teams.