Senior Product Scientist (Marketing Intelligence)

Senior Product Scientist (Marketing Intelligence)

Headspace is seeking a Senior Product Scientist to lead and maintain the marketing measurement foundation that drives confident, evidence-based decisions for member acquisition and retention at scale. This role is at the intersection of product strategy, data science, and growth marketing, with a focus on developing a rigorous incrementality testing capability to connect media investment with long-term member value.

About the Role

As a Senior Product Scientist, you will collaborate closely with Performance and Lifecycle Marketing, Growth, Engineering, and Data Science teams. Your mandate will be to support the design and execution of cross-channel experimentation infrastructure, identity resolution architecture, and measurement systems. The goal is to accurately understand the causal impact of marketing spend. Product leaders at Headspace are expected to champion experimentation, provide constructive feedback, and demonstrate a deep commitment to the member journey. This position requires both scientific rigor and strategic clarity to translate complex measurement challenges into product decisions that foster sustainable, high-quality member growth.

Key Responsibilities

• Develop product requirements and experimentation plans for marketing measurement, partnering with relevant teams to build a durable, cross-channel incrementality testing capability that moves beyond last-click attribution.
• Design and implement the experimentation infrastructure necessary to measure the true causal impact of paid media spend on member acquisition, long-term retention, and sustainable Lifetime Value (LTV) across all marketing channels.
• Define and own the roadmap for data architecture and identity resolution foundations to support reliable, scalable measurement, ensuring consistent signal across channels and minimizing measurement bias and contamination.
• Author and maintain product specifications that translate complex measurement and experimentation requirements into actionable technical deliverables for engineering and data science partners.
• Collaborate cross-functionally to ensure execution aligns with established measurement principles, experimentation standards, and frameworks for evaluating marketing investment decisions.
• Define and monitor key metrics that link platform-level measurement capabilities to business outcomes, including member acquisition quality, retention impact, and long-term LTV.
• Maintain and iterate on a structured learning system to synthesize incrementality findings, enabling leadership to make confident, evidence-based investment decisions.
• Partner with Legal and Privacy teams to ensure all measurement and experimentation infrastructure complies with data privacy and consent requirements.

Requirements

Required Qualifications

• 3 years of experience in product management, data science, marketing technology, or a related field, with a proven track record of owning and delivering complex, analytically driven products or workstreams.
• Strong understanding of marketing measurement concepts, including incrementality testing, media mix modeling, multi-touch attribution, and the technical infrastructure for cross-channel experimentation at scale.
• Demonstrated experience partnering with data science or engineering teams to define requirements, build data pipelines, and deploy measurement systems in production environments.
• Solid grasp of identity resolution, event logging, and data architecture considerations for reliable, unbiased measurement across digital marketing channels.
• Strong communication and interpersonal skills, with the ability to influence and align stakeholders across marketing, growth, engineering, and legal functions.

Preferred Qualifications

• Experience with customer data platforms, clean rooms, or similar data infrastructure for privacy-safe measurement and audience segmentation.
• Familiarity with causal inference methods and their application to marketing measurement (e.g., holdout group design, geo-based experiments, synthetic control methods).
• Prior experience in digital health, consumer subscription, or direct-to-consumer sectors where member LTV and retention are key business drivers.
• Experience navigating data privacy and consent requirements (e.g., GDPR, CCPA, ATT) in the context of marketing measurement and experimentation.
• A passion for mental health, evidence-based decision-making, and the mission of Headspace.

Location

This role is open to candidates across the US, with preferred locations in San Francisco, CA (hybrid), New York City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US full-time.

• For candidates based in the greater San Francisco Bay Area, this role follows a hybrid model, requiring 3 days per week in the office.

Pay & Benefits

• Anticipated New Hire Base Salary Range: $122,400 - $170,000 + equity + benefits.
• For candidates based in San Francisco, New York City, or Seattle: $156,400 - $190,000.
• Salary ranges are based on job, level, and location, reflecting the lowest to highest geographic markets within the United States. Individual compensation is determined by location, relevant experience, job-related skills, and education.
• Total Rewards Package includes: Base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more.

About Headspace

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