Company Description:
Duetti was founded by Lior Tibon, former COO of TIDAL, and Christopher Nolte, former Business Development executive at Apple Music, with the mission of getting a wide range of artists quick and easy access to catalog sales and unlocking new investment opportunities. Leveraging their experience in streaming and support from innovative music and technology investors including Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti's music platform has provided over 700 artists up to $7 million per transaction. The proprietary model provides data-driven prices for established tracks, allowing artists to sell individual tracks or even parts thereof, while Duetti then markets those tracks going forward using proprietary ROI-focused techniques.
With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model. Duetti provides an inspiring and familial yet ambitious work environment, where your expertise and creativity will contribute to reshaping the future of artist monetization and make an immediate tangible impact on artists’ lives. Join us on this transformative journey as we reshape the financial landscape for artists.
Job Description:
As Music Growth Manager, you are responsible for hands-on execution of innovative strategies to improve the performance of Duetti’s catalog on platforms such as Spotify, YouTube, Apple Music, and TikTok . Strategies will be informed by your experience researching, designing, and executing sophisticated marketing programs and creating growth loops.
You will concentrate on deploying scalable and adaptive strategies for the dynamic music market. You will explore, execute, and measure a wide variety of approaches while contributing to Duetti’s ongoing programs including remix creation, playlisting, data-driven consumer marketing and algorithmic optimization. You will also be responsible for creating new tactics and building frameworks to bring programs to scale. You will “hack” the most efficient execution paths for each strategy, utilizing various internal and external resources.
