Headspace is looking for a Staff Product Manager, Personalization - Foundations to define the long-term vision for the centralized member and content data layers, segmentation infrastructure, and core Machine Learning services that power personalization across the entire product. You will be responsible for creating a single source of truth for user data and behavioral modeling to enable hyper-accurate, real-time decisioning.
What You'll Do
- Define the long-term vision and strategy for the Personalization Foundations platform, including centralized user/content data, segmentation infrastructure, and core ML services.
- Own the centralized user and content data layers, segmentation infrastructure, and the core Machine Learning services that power all personalization features.
- Lead product strategy and execution for key workstreams: 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.
- Work closely with Engineering, Science, and Product Design to define and prioritize requirements for the data and ML platform, APIs, and services.
- 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 and rigorously track and report on performance.
- Provide technical and product oversight for complex projects and actively mentor junior members of the product organization.
What We're Looking For
- 6+ years of experience in Product Management.
- At least 2+ years on data platforms, Machine Learning 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.
- Strong communication and interpersonal skills, with the ability to influence and align stakeholders at all levels.
- Experience working closely with ML Engineering and Data Science teams on high-scale, real-time data and ML systems.
Nice to Have
- Experience in the digital health, wellness, or consumer subscription sectors.
- A passion for mindfulness, mental health, and the mission of Headspace.
- Prior experience scaling a data platform in a high-growth environment.
Technical Stack
- Data platforms
- Machine Learning infrastructure
- Real-time data systems
- Segmentation infrastructure
Team & Environment
You will work closely with Engineering, Science, Product Design, consuming Product teams, Data Science, and Legal.
Benefits & Compensation
- Compensation range: $140,400 - $224,250 + equity.
- Stock awards
- Comprehensive healthcare coverage
- Monthly wellness stipend
- Retirement savings match
- Lifetime Headspace membership
- Generous parental leave
Work Mode
This is a hybrid position. Locations include San Francisco (Hybrid), Remote - Los Angeles, Remote - New York City, Remote - Seattle, and Remote - United States.
Headspace is an equal opportunity employer prohibiting discrimination based on race, color, religion, gender, gender identity/expression, sexual orientation, national origin, family/parental status, disability, age, veteran status, or other protected statuses.
