Product Manager, Personalization - Foundations
Listed on 2026-03-01
-
IT/Tech
AI Engineer, Data Analyst
Staff Product Manager, Personalization - Foundations
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 a definitive single source of truth for user data and behavioral modeling, enabling hyper‑accurate, real‑time decisioning for all customer interactions that power all Headspace experiences.
Whatyou 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 ML services that power all personalization features across the product.
- Key Workstream Leadership: Lead the product strategy and execution for key work streams, 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.
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.
- 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.
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 one of these cities.
CompensationThe anticipated new hire base salary range for this full‑time position is $140,400 – $224,250 plus equity and benefits.
Benefits- Base salary, stock awards, and comprehensive healthcare coverage
- Monthly wellness stipend, retirement savings match, and lifetime Headspace membership
- Generous parental leave and other paid time off
Headspace exists to provide every person access to lifelong mental health support. We combine evidence‑based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).