product manager in music

Universal Music Group is a leading music company that supports artists and develops data science and AI solutions to drive innovation and creative data-driven strategies across the music business.

• Identify, shape and prioritise AI-powered products, tools and workflows tailored to the needs of labels and central teams;
• Collaborate with stakeholders to gather requirements, understand user needs and create product briefs and specifications;
• Translate complex business problems into product roadmaps, user stories, success measures and delivery plans;
• Work with developers, data scientists and project managers to ensure timely delivery of high-quality data and AI products;
• Support product testing, feedback gathering and iteration to ensure solutions are reliable, useful, adopted and delivering measurable value;
• Stay up-to-date with trends and technologies in AI, data and product development and apply them to improve solution quality and efficiency.

• At least 2 years of experience in product management, AI, data, technology or a related role;
• Strong product management skills across discovery, prioritisation, roadmapping and delivery;
• Good working knowledge of data, AI and machine learning concepts;
• Familiarity with generative AI tools such as ChatGPT, Claude, Gemini, Copilot or Codex;
• Ability to translate business needs into clear product briefs, requirements and success measures;
• Comfortable using data and insight to guide product decisions;
• Basic understanding of SQL and analytics tools;
• Experience working with data scientists, engineers, designers and other technical teams;
• Ability to collaborate effectively with cross-functional teams and communicate technical information to non-technical stakeholders;
• Strong problem-solving, organisational and decision-making skills;
• Background working with stakeholders to understand business needs and convert them into clear product priorities;
• Experience working with development teams to take products from idea to launch, adoption and iteration;
• Degree in a relevant field or equivalent practical experience;
• Nice to have: Knowledge of music repertoire, a background in Music, Computer Science, Product Management, Business, Engineering or a related discipline.

• No conditions specified