Top Tech Jobs & Startup Jobs in NYC, NY

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.

The Support Solutions Engineer is responsible for monitoring and resolving customer requests, automating support needs, and improving support tools while advocating for customer experiences in data platform infrastructure.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.

The Senior Product Designer leads UX/UI strategy for Netflix products, focusing on high-visual craft, user interface design, and collaboration with multimedia teams to enhance user experiences.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

As a Product Manager for HR Technology, you will shape and execute the roadmap for internal talent systems, collaborating with cross-functional teams to enhance employee lifecycle experiences and support AI initiatives.

Lead content design for Netflix Ads: define content strategy, craft UX copy and language frameworks, design cross-device ad experiences (CTV, mobile, web), partner with Product/Design/Engineering, and ensure clarity, trust, and scalability across ad formats and privacy/policy flows.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

Manage a team of data scientists and analytics engineers to innovate Netflix's core product experience, driving measurement and insights across the TV and interactive discovery domains.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.