Senior Product Manager – ML, Subscriptions Growth

🕒 March 25

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• Define the strategy and roadmap for key subscriber growth initiatives, focusing on applying AI/ML in the right places balancing business goals, ROI and technical feasibility • Deeply understand business metrics and user behavior, leading to well-researched hypotheses for testing and future AI/ML development • Lead end-to-end product development from problem definition through system deployment and adoption, working across research, engineering, and business teams • Drive experimentation programs that rigorously test ML-powered features against baselines, making data-informed decisions about when to scale AI-driven experiences • Collaborate with engineers and data scientists on technical decisions to drive innovation and impact • Build products at scale that impact hundreds of millions of users across diverse markets, considering localization, infrastructure constraints, and varying user contexts • Stay current with AI and ML technology trends, looking for opportunities to match with key business objectives

🎯 Requirements

• 5+ years product management experience with proven track record launching ML/data-driven products at scale • Strong technical fluency in data science, recommender systems, machine learning concepts, model evaluation, A/B testing, and data pipelines • Strategic judgment about when to apply ML vs. GenAI vs. other tools and you understand the cost-benefit tradeoffs of complex systems • Understanding of subscription business and e-commerce fundamentals in consumer products • Excellent communicator who can collaborate cross functionally and communicate complex ideas to stakeholders at all levels