Top Tech Jobs & Startup Jobs in NYC, NY

Lead end-to-end video production and post workflows: plan and run shoots nationwide, manage crews/vendors/budgets, coordinate stakeholder feedback, track projects in Linear, and ensure delivery quality and specs while protecting sensitive subject stories.

Lead and coach a team of product designers while remaining hands-on. Partner with Product and Engineering to shape strategy and user experiences, establish design systems and standards, contribute to complex initiatives, and scale hiring and onboarding to strengthen design culture.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

Lead and grow a 4–6 person data science team, set the roadmap, deliver marketplace forecasting and production ML (matching, scoring), embed data science cross-functionally, and establish modeling, experimentation, and monitoring best practices.

The Influencer Coordinator manages influencer outreach, campaign timelines, and communications to ensure successful execution of marketing campaigns across social media platforms.

The Operations Associate executes high-quality plans, takes ownership of tasks, collaborates with teams, and ensures product quality in a fast-paced environment.

Own and architect Workday configuration, security, reports, and integrations; build People automations and evaluate AI tools; support compensation data infrastructure, equity administration, and annual comp processes.

Provide phone, email, and chat support to patients and advocates, resolve inquiries, confirm appointments, troubleshoot basic browser/phone issues, gather and report feedback, and help improve the customer experience while supporting new clients.

As a Tech Lead, you will lead a team of engineers, manage technical architecture, mentor team members, and drive the development of user-facing features.

Role involves architecting and optimizing data pipelines, building infrastructure as code, ensuring data reliability, and collaborating with cross-functional teams to deliver quality data products.