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AI Product Manager

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Universal Music Group
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Systems & Technology Analysis, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Music is Universal It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.

Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.

We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email Uni you interested in working for the music industry?

Would you like to help develop unique cutting-edge data science and AI solutions to help drive innovation and creative data-driven strategies across Universal Music?

Universal Music UK is looking for an AI Product Manager to become part of our UK central data, AI and technology team. The role offers a unique opportunity to join us at the start of a new chapter, where we are looking to grow & expand on the foundation of work we’ve already begun.

The role is perfect for a candidate that is passionate about music, data, AI and technology and has a thirst for acquiring, analysing and communicating knowledge through data. In a creative organisation such as ours, reducing a complex problem into something simple is key, so any experience managing stakeholders, shaping ideas and translating business needs into clear product requirements would also be a strength.

Alongside this, you will be responsible for identifying, shaping and delivering AI-powered products, tools and workflows that solve real business problems across Universal Music UK. You will work with stakeholders to understand user needs, define priorities and translate ideas into clear product briefs, roadmaps and success measures. Working closely with data scientists, engineers, designers and business teams, you will guide products from discovery and prototyping through to launch, adoption and ongoing iteration.

As we’re first and foremost a data, AI and technology team, you should be comfortable working with data, technical trade-offs and modern AI-enabled product development.

As part of the central data, AI and technology team, you’ll have a chance to work across all divisions, including AMS, frontline labels, our catalogue division UMR, and all other central teams, as well as data and technology teams within the wider business. This includes helping shape products from the inception of an idea through to fully working technology that supports & supercharges the labels.

Key Responsibilities Shaping this role is up for grabs for a resourceful self-starter, but core responsibilities include:

Identify, shape and prioritise AI-powered products, tools and workflows that are tailored to the needs of our labels and central teams.

Collaborate with stakeholders to gather requirements, understand user needs and create clear product briefs and specifications.

Translate complex business problems into practical product roadmaps, user stories, success measures and delivery plans.

Work closely with developers, data scientists and project…
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