spotify - Principal Product Manager - ML / Subscriptions Growth
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Requirements
• You bring 8+ years of product management experience, including leading data-driven or ML-backed products from discovery through global rollout. • You have led platform or shared-capability product work where driving alignment and adoption was key to success, not just shipping features • You have strong technical fluency in experimentation design, A/B testing, causal inference concepts, ML fundamentals, recommender/personalization systems, and data infrastructure (feature stores, attribute systems, data pipelines, data governance).. • You have experience defining and governing shared data products or data layers - establishing standards and processes • You consistently connect product decisions to measurable business outcomes, with a track record of improving conversion, retention, churn, ARPU, and/or LTV. • You have experience in subscription or e-commerce business models, including lifecycle optimization, offers, pricing, packaging, or marketplace dynamics. • You demonstrate strong judgment in choosing the simplest effective solution, and you know when advanced ML or GenAI is worth the trade-offs. You resist over-engineering and insist on proving incremental value. • You build responsibly, considering fairness, bias mitigation, privacy, and localization — especially when personalization affects pricing, offers, or eligibility. • You lead with clarity and empathy, give and receive feedback well, and raise the bar through coaching and principled decision-making. • You influence without authority across engineering, data science, design, analytics, finance, and commercial stakeholders, and you’re skilled at aligning teams through ambiguity. You are experienced with resolving trade-offs between competing priorities. • ## Where You'll Be • This role is based in London, United Kingdom or Stockholm, Sweden. • We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.
Responsibilities
• Own a portfolio of initiatives end-to-end, aligning multiple squads and stakeholders around clear goals, sequencing, and measurable outcomes (conversion, churn, ARPU, LTV). • Turn behavioral and revenue signals into crisp hypotheses, define success metrics and guardrails, and drive an experimentation roadmap that’s prioritized by impact and learning value. • Establish strong measurement practices (A/B testing, incrementality, causal inference where appropriate), and ensure we scale only what demonstrates durable lift against strong baselines. • Set direction to prioritize and develop data signals, attributes, data products, and feature store requirements • Drive lifecycle and personalization strategies (including trial design, offer targeting, win-back, and plan nudges) that balance user value, revenue outcomes, and long-term trust. • Partner with pricing and packaging stakeholders to design experiments that improve monetization while remaining transparent, locally relevant, and sustainable. • Make pragmatic decisions about when to use ML, GenAI, heuristics, or rules, balancing ROI, complexity, latency, maintainability, and launch risk. Start with simple solutions before investing in complex systems. • Ensure production readiness for ML-backed experiences through monitoring, performance evaluation, guardrails, data quality standards, and rollout plans that work at global scale. • Communicate trade-offs and insights clearly to senior leadership, translating technical complexity into business impact and crisp decisions. • Elevate product craft across the mission by mentoring other PMs, strengthening decision frameworks, and building a culture of learning, accountability, and inclusive collaboration.
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