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Senior Product Scientist (Agentic Growth & Marketing)
Headspace Health · San Francisco, United States
About The Role
Join Headspace as a Senior Product Scientist, where you'll drive the execution of our agentic marketing system, a closed-loop growth engine that connects real-time member and campaign signals to evidence-based decisions about member acquisition and retention. This execution-focused role sits at the intersection of product strategy, data science, and growth marketing, with a mandate to deliver measurable results. You'll manage both the lifecycle and paid sides of the system, ensuring efficient communication and collaboration with cross-functional teams.
- Own and drive the execution of Headspace's agentic marketing system, connecting real-time member and campaign signals to evidence-based decisions.
- Manage the decision logic that monitors channel-level performance, reallocates spend across platforms, and ensures the efficient rotation of ad creative based on performance signals.
- Partner with cross-functional teams on the implementation of decision policies, managing the curated action library of approved content, and ensuring the Braze integration triggers personalized communications.
- Solid grasp of paid media measurement and optimization including incrementality testing, media mix modeling, and the identity resolution and event logging infrastructure required to support cross-channel causal measurement
- Strong hands-on technical depth in SQL and Python, with the ability to build proofs of concept, contribute to data pipeline and feature engineering work, and engage as a credible technical partner to engineers and data scientists
- 3 or more years of experience in product science, data science, or a related field, with a proven track record of driving the execution of product features and systems in production environments
- Deep understanding of lifecycle marketing execution, including experience integrating with Braze or similar CRM platforms via API to trigger personalized, event-driven communications at scale
- Demonstrated experience shipping experiments to learn and iterating based on member signals, including the practical execution of marketing automation features or agentic AI prototypes within a dedicated cross-functional team
- Strong communication and interpersonal skills with the ability to influence and align with marketing, growth, and engineering partners on technically complex systems with real member and business risk
- Experience contributing to the implementation of reinforcement learning, contextual bandit, or LLM-based features for real-time personalization, focusing on shipping lightweight experiments to drive learning
- Experience with causal inference methods including holdout group design, geo-based experiments, or synthetic control methods applied to marketing measurement or personalization system evaluation
- Experience building team-level automation or custom AI tools that reduce team toil and improve the speed of experimentation within a pod
- Experience navigating data privacy and consent requirements including GDPR, CCPA, and ATT in the context of marketing automation or agentic AI infrastructure
- Prior experience in digital health, consumer subscription, or direct-to-consumer sectors where member LTV, retention, and clinical safety are primary considerations
- A passion for mental health, responsible AI, and the mission of Headspace
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