About the Staff Product Manager, Personalization - Foundations at Headspace:
We are seeking a Staff Product Manager, Personalization - Foundations to own the centralized member and content data layers, segmentation infrastructure, and the core Machine Learning (ML) services that power all personalization features across the Headspace product. You will be the product leader responsible for defining the long-term vision to create the definitive single source of truth for user data and behavioral modeling, enabling hyper-accurate, real-time decisioning for all customer interactions that powers all Headspace experiences. This role requires a unique blend of product management excellence, deep technical understanding of data and ML platforms, and a strong commitment to delivering personalized and impactful member journeys. At Headspace, product leaders are expected to model experimentation with purpose, share feedback with care, and a deep commitment to the member journey. This role will require strategic leadership, clarity, and curiosity to scale our personalization efforts.
What you will do:
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Platform Vision & Strategy: Define the long-term vision and strategy for the Personalization Foundations platform, including centralized user/content data, segmentation infrastructure, and core ML services, by owning the product roadmap and collaborating with leadership.
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Core Responsibility: Own the centralized user and content data layers, segmentation infrastructure, and the core Machine Learning (ML) services that power all personalization features across the product.
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Key Workstream Leadership: Lead the product strategy and execution for key workstreams, including Customer/Content Embeddings, Real-Time Event Processing, Segmentation Tooling, P13N Model Deployment & A/B Testing, Data Governance & Personalization Privacy, and Content Type Balance.
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Execution & Delivery: Lead the entire product lifecycle for core platform capabilities, from ideation and specification through development, launch, and iteration, ensuring high quality and timely delivery.
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Technical Product Ownership: Work closely with Engineering, Science, and Product Design to define and prioritize requirements for the data and ML platform, APIs, and services that enable scalable personalization across Headspace’s Member Experiences.
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Cross-Functional Alignment: Partner cross-functionally with consuming Product teams, Engineering, Data Science, and Legal to ensure alignment and successful execu