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-Time Event Processing, Segmentation Tooling, P13N Model Deployment & A/B Testing, Data Governance & Personalization Privacy, and Content Type Balance.
• 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.
• 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.
• Cross-Functional Alignment: Partner cross-functionally with consuming Product teams, Engineering, Data Science, and Legal to ensure alignment and successful execution of foundation initiatives.
• Analysis & Reporting: 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.
• Team Oversight & Mentorship: 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.

What you will bring:

• Required Skills:
• 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.

• Preferred Skills:
• 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.

Location:

We are currently hiring this role in San Francisco (hybrid), Los Angeles (remote), New York City (remote) and Seattle (remote). Candidates must permanently reside in the US full-time and be based in these cities.

For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week.