Senior Product Scientist (Agentic Growth & Marketing)

Role Overview

Senior Product Scientist (Agentic Growth & Marketing) at Headspace Health to drive execution of an agentic marketing system. The role builds a closed-loop growth engine that uses real-time member and campaign signals to make evidence-based decisions for acquisition and retention.

Responsibilities

• Own and drive execution of Headspace’s agentic marketing system connecting member + campaign signals to decisions.
• Manage decision logic that:
  • monitors channel-level performance,
  • reallocates spend across platforms,
  • rotates ad creative based on performance signals.
• Partner cross-functionally to implement decision policies and collaborate on production delivery.
• Maintain and use an action library of approved content.
• Ensure Braze integration triggers personalized, event-driven communications at scale.

Requirements

• Strong grasp of paid media measurement and optimization, including:
  • incrementality testing,
  • media mix modeling,
  • identity resolution and event logging for cross-channel causal measurement.
• Hands-on technical depth in SQL and Python, including building POCs, contributing to pipelines/feature engineering, and working closely with engineers and data scientists.
• 3+ years experience in product science, data science, or related fields with a record of shipping production product features/systems.
• Deep experience with lifecycle marketing execution, including Braze (or similar CRM) API integration.
• Proven ability to ship experiments and iterate based on member signals.
• Strong communication skills to influence marketing, growth, and engineering partners on complex systems with real business risk.

Nice to Have

• Experience with reinforcement learning, contextual bandits, or LLM-based real-time personalization; ability to ship lightweight learning experiments.
• Experience with causal inference (holdouts, geo experiments, synthetic control) for marketing/personalization evaluation.
• Experience building automation/custom AI tools that reduce experimentation toil.
• Familiarity with data privacy & consent (GDPR, CCPA, ATT) in marketing automation/agentic AI.
• Background in digital health, consumer subscription, or DTC where LTV, retention, and clinical safety matter.
• Passion for mental health and responsible AI.

Location / Work Model

• Full remote (San Francisco, US).