Senior Product Manager – ML / Subscriptions Growth – London / Stockholm
Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators.
The Subscriptions Mission builds and evolves Spotify’s subscription products and marketplace experiences to drive sustainable user and revenue growth globally. We focus on awareness, acquisition, activation, retention, and monetization strategies that help users unlock the full value of Spotify while enabling the business to scale efficiently and responsibly.
User Understanding sits within Subscriptions and focuses on building the intelligence layer that makes our growth efforts smarter—through decisioning, data signals, and ML models that power personalization across surfaces and lifecycle moments. You’ll work at the intersection of machine learning innovation and commercial strategy, partnering closely with ML engineers, data scientists, data platform teams, product insights, and business stakeholders to shape high-impact growth initiatives.
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)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
Apply tot his job
Apply To this Job
The Subscriptions Mission builds and evolves Spotify’s subscription products and marketplace experiences to drive sustainable user and revenue growth globally. We focus on awareness, acquisition, activation, retention, and monetization strategies that help users unlock the full value of Spotify while enabling the business to scale efficiently and responsibly.
User Understanding sits within Subscriptions and focuses on building the intelligence layer that makes our growth efforts smarter—through decisioning, data signals, and ML models that power personalization across surfaces and lifecycle moments. You’ll work at the intersection of machine learning innovation and commercial strategy, partnering closely with ML engineers, data scientists, data platform teams, product insights, and business stakeholders to shape high-impact growth initiatives.
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)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
Apply tot his job
Apply To this Job