
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.
🕒 March 25
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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.
• Set the product vision and multi-quarter strategy for ML- and AI-driven subscriber growth • Own a portfolio of initiatives end-to-end, aligning multiple squads and stakeholders • Develop data signal sourcing, data platform capabilities, and model validation • Turn behavioral and revenue signals into hypotheses and drive an experimentation roadmap • Establish measurement practices and ensure we scale what demonstrates durable lift • Drive lifecycle and personalization strategies that balance user value and revenue outcomes • Partner with pricing and packaging stakeholders to design experiments for monetization • Ensure production readiness for ML-backed experiences and communicate insights to leadership
• 8+ years of product management experience • Leading data-driven or ML-backed products from discovery through global rollout • Strong technical fluency in experimentation design, A/B testing, causal inference concepts, ML fundamentals, recommender/personalization systems, data infrastructure • Experience defining and governing shared data products or data layers • Proven track record of connecting product decisions to measurable business outcomes • Experience in subscription or e-commerce business models • Strong judgment in choosing effective solutions while considering fairness, bias mitigation, privacy, and localization • Ability to influence without authority across multiple stakeholders
• Flexibility to work where you work best • Some in-person meetings for collaboration
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