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For Companies At a Glance
- Tasks: Lead AI product strategy and collaborate with tech experts to create innovative solutions.
- Company: Join Warner Music Group, a leader in the entertainment industry.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape the future of music with cutting-edge AI technology and make a real impact.
- Qualifications: 3+ years in product management with a focus on AI/ML; strong communication skills.
- Other info: Be part of a diverse team committed to innovation and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Key Responsibilities
- Strategic Opportunity Definition: Identify, scope, and prioritize high-impact AI use cases across A&R, Marketing, Commercial, and Strategic functions, including where Generative AI or advanced predictive modeling can drive maximum business value.
- Product Vision & Roadmap Ownership: Define the product vision, strategy, and measurable success metrics for our AI solutions, ensuring a clear path for integrating emerging model types (like LLMs) and technologies into the core BI and operational workflows.
- Cross-Functional Delivery: Partner deeply with ML Engineers, Data Scientists, and Business Intelligence experts to design, build, and deliver robust, high-quality, and user-focused AI products.
- Ecosystem Integration: Ensure seamless and efficient integration of new AI solutions into our existing data platforms, reporting ecosystems, and operational workflows.
- Change Management & Storytelling: Champion user adoption and manage organizational change through compelling data storytelling and executive demos on the power of augmented intelligence.
- Market & Tech Scouting: Maintain a keen understanding of Generative AI, advanced Machine Learning methods, MLOps tools, and best practices, and proactively evaluate their commercial application within the music industry.
Skills & Experience
- Education: Bachelor's degree required in Computer Science, Engineering, Data Science, Business Analytics, or a related quantitative field. A Master's degree (e.g., MBA, MS) is highly preferred.
- Product Expertise: 3+ years of progressive experience in product management, specifically focusing on data products or AI/ML-driven features (experience with Generative AI products is a strong plus).
- Data Literacy: Solid, practical understanding of BI/Data environments (Data Warehousing, Data Pipelines, SQL, Python, Looker/Tableau) and their governance.
- AI/ML Fluency: Demonstrated ability to understand core AI/ML concepts (e.g., model training, feature engineering, model performance metrics, probabilistic systems) and effectively collaborate with highly technical teams.
- Communication & Executive Presence: Exceptional communication and stakeholder management skills, capable of translating technical complexity into clear business implications for executive audiences.
- Domain Affinity: A genuine passion for solving complex business problems through innovative technology, with experience in the entertainment, media, or consumer technology sectors being a significant advantage.
WMG Commitment to Inclusion and Diversity
WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religion or belief, age, sex, sexual orientation, gender, gender identity or gender reassignment, marital or civil partnership status, disability, pregnancy, childbirth or any other characteristic protected by law.
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Product Management and Marketing
Industries: Entertainment Providers, Musicians, and Book and Periodical Publishing
Product Manager, Applied AI employer: Warner Music Group
Contact Detail:
Warner Music Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager, Applied AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Warner Music Group. Use LinkedIn to connect and engage with them; you never know who might give you a heads-up about an opportunity.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI products and data management. When you get the chance to chat with hiring managers, share how you've tackled similar challenges in the past.
✨Tip Number 3
Be ready for the interview! Research Warner Music Group's current AI initiatives and think about how you can contribute. Prepare questions that show your interest in their projects and how you can help drive their vision forward.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the team at Warner Music Group.
We think you need these skills to ace Product Manager, Applied AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Product Manager, Applied AI. Highlight your experience with AI/ML products and any relevant projects that showcase your skills in data management and product strategy.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and how your background aligns with our mission at Warner Music Group. Don’t forget to mention any specific experiences that relate to the music industry!
Showcase Your Communication Skills: Since communication is key in this role, make sure your application reflects your ability to convey complex ideas simply. Use clear language and structure your application well to demonstrate your stakeholder management skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Warner Music Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and advanced Machine Learning methods. Be ready to discuss how these technologies can be applied in the music industry, especially in areas like A&R and marketing. Showing that you understand the technical aspects will impress the interviewers.
✨Craft a Compelling Product Vision
Prepare to articulate a clear product vision and strategy for AI solutions. Think about measurable success metrics and how you would integrate emerging model types into existing workflows. This shows that you’re not just thinking about the 'what' but also the 'how' of product management.
✨Showcase Your Collaboration Skills
Since this role involves working closely with ML Engineers and Data Scientists, be ready to share examples of how you've successfully collaborated with technical teams in the past. Highlight your communication skills and how you’ve translated complex ideas into actionable plans.
✨Be a Storyteller
Prepare to demonstrate your ability to champion user adoption through storytelling. Think of ways to present data and insights compellingly, as if you were pitching to executives. This will show that you can manage change effectively and get buy-in from stakeholders.
