Senior Content Acquisition Manager, Music Labels, Amazon Music

Saved job description

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

Key job responsibilities

We’re looking for an analytical Senior Content Acquisition Manager to join our team in LA, supporting team members across the US and EU. The position will lead and support global label licensing negotiations and strategy. Responsibilities include driving complex financial models together with Finance, evaluating the impact of negotiated royalty structures, and proactively performing analytic deep dives across a variety of key performance indicators. This role will also work closely with Legal to structure licensing agreements and review contract language, and work closely with Product Development and Marketing teams on our feature roadmap and go-to-market strategies. The Senior Content Acquisition Manager will have 6+ years of work experience in a content acquisition, business development, financial analyst, or related analytics-focused role.

Requirements: - 6+ years of entertainment industry deal negotiation experience

- Experience negotiating complex agreements with a firm understanding of legal terminology and reasoning

- Experience using financial models, KPIs, and data analysis to support business decisions, or experience building and managing financial models for business forecasting and problem solving