Staff Product Manager, Personalization - Foundations

Headspace is seeking a Staff Product Manager for Personalization - Foundations to lead the development of centralized member and content data layers and core Machine Learning services. The role focuses on defining the long-term vision for user data and behavioral modeling to enhance customer interactions and personalization across Headspace's product offerings.

Responsibilities:

• 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
• 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
• 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
• Lead the entire product lifecycle for core platform capabilities, from ideation and specification through development, launch, and iteration, ensuring high quality and timely delivery
• 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
• Partner cross-functionally with consuming Product teams, Engineering, Data Science, and Legal to ensure alignment and successful execution of foundation initiatives
• Establish clear metrics for platform success (e.g., data quality, model latency, feature adoption, P13N-driven LTV engagement) and rigorously track and report on performance
• Provide technical and product oversight for complex projects and actively mentor junior members of the product organization on best practices for platform and data products

Requirements:

• 6+ years of experience in Product Management, with at least 2+ years on data platforms, Machine Learning (ML) infrastructure, or consumer/content personalization services
• Proven track record of defining and launching successful platform products that serve as internal services for other product teams
• Exceptional strategic thinking and analytical skills, capable of translating complex data and ML problems into clear product roadmaps and specifications
• Strong communication and interpersonal skills, with the ability to influence and align stakeholders at all levels, both internally and externally
• Experience working closely with ML Engineering and Data Science teams on high-scale, real-time data and ML systems
• Experience in the digital health, wellness, or consumer subscription (D2C/B2C) sectors
• A passion for mindfulness, mental health, and the mission of Headspace
• Prior experience scaling a data platform in a high-growth environment