What You'll Do
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
Who You Are
You have 5+ years product management experience with proven track record launching ML/data-driven products at scale
You have strong technical fluency in data science, recommender systems, machine learning concepts, model evaluation, A/B testing, and data pipelines. You can review and challenge technical decisions.
You have strategic judgment about when to apply ML vs. GenAI vs. other tools and you understand the cost-benefit tradeoffs of complex systems
You understand subscription business and e-commerce fundamentals in consumer products
You are an excellent communicator who can collaborate cross functionally and communicate complex ideas to stakeholders at all levels
Where You'll Be
- This role is based in London (UK) or Stockholm (Sweden)
Skills Required
- 5+ years product management experience
- Proven track record launching ML/data-driven products
- Strong technical fluency in data science and ML concepts
- Understanding of subscription business fundamentals
- Excellent communication skills for cross-functional collaboration
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
