Top Music Jobs in New York City, NY

The Copywriter will craft engaging social media copy, develop scripts, support campaign messaging, and collaborate with teams to align brand voice across platforms.

Lead the credit underwriting function, develop risk models, manage teams, and create credit strategies for diverse portfolios in a growing fintech.

As FP&A Analyst, you will deliver forecasts, support long-range planning, improve financial models, and assist in analyses for business planning.

Join the Music Publishing Deal Analysis team to evaluate, structure, and implement music publishing deals while providing financial insights and collaborating across various teams.

The role involves managing advertising partnerships, maximizing revenue through integration and performance tracking, while analyzing industry trends.

The Marketing Coordinator supports sales teams by preparing sales materials, managing campaign execution, and ensuring alignment across departments while monitoring campaign performance.

The Content Analyst at ASCAP will research and analyze to maximize revenue and ensure proper compensation for songwriters. Responsibilities include establishing processes, quality control, documentation, and analytical projects with various stakeholders.

The Associate Director, Social Creative will create engaging social media content, manage campaigns, pitch ideas, and analyze performance metrics. Responsibilities include concepting creative strategies and collaborating across teams.

The Commerce Manager will oversee physical and digital commerce strategies for artists, manage inventory, eCommerce initiatives, and analyze performance data to optimize fan engagement and sales.

The Ad Ops Intern will assist with digital advertising management, reporting, data quality checks, and cross-department collaboration within Vevo.

Lead a team building systems for engaging viewers with Twitch content, collaborating with PMs, designers, and scientists to serve millions of users.

The Senior Machine Learning Engineer will design and deploy ML solutions for recommendations, manage the ML lifecycle, and collaborate with teams to enhance ML engineering practices.