This is an execution-focused role sitting at the intersection of product strategy, data science, and growth marketing, with a mandate to deliver measurable results and move Headspace beyond static campaigns toward a system that perceives, reasons, and acts continuously across paid acquisition and lifecycle engagement.
The system has two interconnected layers.
On the lifecycle side, the agent monitors member behavioral signals in real time, selects the optimal intervention from a curated content and messaging library, and triggers personalized communications across push, email, and in-app channels without a human making each individual decision.
On the paid side, the agent monitors channel-level performance, reallocates budget across platforms, refines audience targeting, rotates and optimizes ad creative from a curated approved library, and surfaces gaps back to the marketing team when member acquisition needs exceed what existing audience strategies or creative assets can address.
Both layers depend on the same foundational infrastructure: clean identity resolution, reliable event logging, and a causal measurement layer that ensures every autonomous decision is rooted in true incremental impact rather than correlation.
We expect this person to routinely ship member-facing prototypes and lightweight experiments to drive learning and produces real member signals.
This role requires the ability to write SQL and Python, contribute to model evaluation, and be a proficient technical partner to engineers.
At the same time, this role requires clear communication of.
At Headspace, product leaders are e.