Why Spotify Specifically Questions
Behavioral interview question focusing on why a candidate wants to work at Spotify, assessing cultural fit, alignment with company values, and motivation. Demonstrates research about Spotify and the ability to articulate how the candidate’s skills and goals align with Spotify’s mission and culture.
HardTechnical
0 practiced
You're tasked with setting OKRs for a Spotify product team focused on increasing creator monetization. Propose 2–3 objective-level OKRs with measurable key results, justify each KR choice, and explain how these team OKRs align with broader company goals and guardrails to avoid perverse incentives.
HardTechnical
0 practiced
Spotify personalizes recommendations using user listening data. Propose a product and policy approach that balances personalization benefits with user privacy and regulatory compliance (e.g., GDPR). Include ideas for data minimization, transparent UX for controls, opt-in/opt-out strategies, and metrics to show privacy-preserving personalization still adds value.
EasyBehavioral
0 practiced
Describe how you typically collaborate with engineering, design, data science, and marketing to ship a feature. Use a Spotify-specific example (e.g., enhancing Discover Weekly) and outline responsibilities, meeting cadence, artifacts (PRDs, specs, metrics dashboards), and how you measure success.
HardTechnical
0 practiced
Spotify leadership proposes centralizing certain global features, reducing squad autonomy for those areas. As a senior PM responsible for guiding the transition, design a change-management plan that minimizes disruption, explains who to involve, metrics to track during the migration, and criteria for which capabilities should remain decentralized versus centralized.
HardTechnical
0 practiced
You're negotiating a feature-level pact with a major record label that requests preferential placement for certain artists in exchange for reduced licensing fees. As PM, describe your negotiation strategy, the product commitments you'd be willing to make, guardrails to protect user experience and algorithmic integrity, and the metrics you'd require to validate the deal.
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