Staff Product Manager Personalization Foundations
Source: RemoteOK
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This Staff Product Manager role at Headspace focuses on building the core personalization platform, including member and content data layers, segmentation, and ML services. The ideal candidate will have strong product management, technical, and leadership skills to define a long-term vision for data and ML-driven member journeys.
Job Description
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: 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. 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. Key Workstream Leadership: Lead the product strategy and execution for key workstreams, including Customer/Content Embeddings, Real-TimPlease mention the word FAMOUS and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
Full Description
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: 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. 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. Key Workstream Leadership: Lead the product strategy and execution for key workstreams, including Customer/Content Embeddings, Real-TimPlease mention the word FAMOUS and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.