Related skills
machine learning personalization📋 Description
- Set product vision and multi-quarter ML/AI-driven subscriber growth strategy.
- Own end-to-end initiatives with cross-functional squads and stakeholders.
- Turn signals into hypotheses; define metrics; drive prioritized experiments.
- Establish measurement practices (A/B testing, incrementality, causal inference).
- Prioritize data signals, attributes, data products, and feature store needs.
- Lead lifecycle and personalization strategies (trials, offers, nudges).
🎯 Requirements
- 8+ years PM experience in data-driven or ML-backed products.
- Led platform/shared-capability PM work focused on alignment and adoption.
- Experiment design, A/B testing, causal inference; ML basics; personalization; data infra.
- Experience governing shared data products/data layers; standards and governance.
- Proven impact on conversions, retention, ARPU, and/or LTV.
- Subscriptions/e-commerce lifecycle, offers, pricing, packaging.
🎁 Benefits
- Hybrid/remote-friendly with periodic in-person meetings.
- Based in London or Stockholm.
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