Responsibilities

• Craft product requirements & experimentation plans for marketing measurement, partnering with Performance, Lifecycle Marketing, Growth, and Data Science to build cross-channel incrementality testing beyond last-click attribution.
• Design and deliver experimentation infrastructure to measure causal impact of paid media on acquisition, retention, and LTV across marketing channels.
• Own the roadmap for data architecture and identity resolution foundation to support reliable, scalable measurement with consistent signals and reduced bias.
• Author and maintain specifications translating complex measurement needs into actionable deliverables for engineering and data science.
• Collaborate across Marketing, Growth, Engineering, and Data Science to ensure execution follows established measurement principles and frameworks for investment decisions.
• Define and monitor metrics linking platform measurement to business outcomes, including acquisition quality, retention impact, and long-term LTV.
• Maintain a structured learning system that synthesizes incrementality findings across channels and time to inform leadership decisions.
• Partner with Legal and Privacy to ensure measurement infrastructure complies with data privacy and consent requirements.

Requirements

• 3 years of experience in product management, data science, marketing technology, or related field with a track record of owning analytically driven products.
• Strong understanding of incrementality testing, media mix modeling, multi-touch attribution, and cross-channel experimentation infrastructure.
• Experience partnering with data science or engineering to define requirements, build data pipelines, and ship measurement systems in production.
• Solid grasp of identity resolution, event logging, and data architecture for unbiased digital marketing measurement.
• Strong communication and interpersonal skills to influence stakeholders across marketing, growth, engineering, and legal.

Preferred

• Experience with customer data platforms, clean rooms, or privacy-safe measurement infrastructure.
• Familiarity with causal inference methods in marketing measurement, including holdout designs and synthetic controls.
• Background in digital health, consumer subscription, or DTC sectors where LTV and retention drive value.
• Experience navigating GDPR, CCPA, or ATT in marketing measurement and experimentation.
• A passion for mental health, evidence-based decision making, and Headspace’s mission.

Benefits

• 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.