Staff Product Manager, Personalization - Foundations at Headspace

This role is designed for a technical Product Manager with a deep background in data infrastructure and machine learning. You are likely an expert at building t

Work type: remote

Location: Remote - New York City, NY; Remote - Seattle, WA; Remote - United States; San Francisco - Hybrid

Salary: $140,400 – $224,250/yr

Type: Full-time

Summary

This role is designed for a technical Product Manager with a deep background in data infrastructure and machine learning. You are likely an expert at building the "plumbing" that powers consumer experiences—specifically user data layers, segmentation tools, and recommendation engines. With at least 6 years of PM experience, you should be comfortable working alongside ML engineers and data scientists to build platforms that other internal product teams rely on. The compensation is highly competitive ($140,400 - $224,250), supplemented by equity and a robust wellness-focused benefits package. While the role offers remote flexibility across the US, there is a specific hybrid requirement for those in the San Francisco area (3 days in-office). This is a high-impact position where you aren't just building a feature, but the foundational intelligence layer for a major global wellness brand. **You might be a good fit if you:** * Have managed complex ML lifecycles, from model deployment to A/B testing at scale. * Enjoy being the "internal service provider," creating tools that enable other PMs to succeed. * Are obsessed with data governance, real-time event processing, and content embeddings. * Want to apply high-level technical skills to a mission-driven product focused on mental health.

Job Description

About theStaff Product Manager, Personalization - Foundationsat 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.

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.

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.

About Headspace

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, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come.

Why You’ll Love Working Here:

• A mission that matters—with impact you can see and feel

• A culture that’s collaborative, inclusive, and grounded in our values

• The chance to shape what mental health care looks like next

• Competitive pay and benefits that support your whole self

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