Staff Product Manager, Personalization - Foundations

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-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. Your recruiter will share more details about our hybrid model.

Pay & Benefits:

The anticipated new hire base salary range for this full-time position is $140,400 - $224,250 + equity + benefits.

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.

Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.