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Senior Product Scientist, Agentic Growth & Marketing

at Headspace

New York City, United StatesHybrid

Responsibilities

  • Own and drive the execution of the agentic paid media optimization system , managing the decision logic that monitors channel-level performance, reallocates spend across platforms, and ensures the efficient rotation of ad creative based on performance signals while communicating gaps to marketing partners.
  • Execute the agentic lifecycle marketing strategy , partnering 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 within defined safety guardrails.
  • Manage data and feature
  • Implement causal measurement plans to connect agent decisions to member outcomes, focusing on distinguishing true incremental lift and providing data to improve decision policies based on measurable results.
  • Own the marketing measurement foundation including incrementality testing infrastructure, cross-channel attribution, and the identity resolution and event logging architecture required to produce reliable, unbiased causal measurement across paid and lifecycle channels.

Requirements

  • This role requires the ability to write SQL and Python, contribute to model evaluation, and be a proficient technical partner to engineers.
  • 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. 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 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.
  • 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.
  • 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 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. Preferred Skills: •
  • 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 building team-level automation or custom AI tools that reduce team toil and improve the speed of experimentation within a pod. •
  • Experience with causal inference methods including holdout group design, geo-based experiments, or synthetic control methods applied to marketing measurement or personalization system evaluation. •
  • 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. Location:
  • Candidates must permanently reside in the US full-time.
  • We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

Benefits

  • Your recruiter will share more details about our hybrid model. Pay & Benefits :
  • The anticipated new hire base salary range for this full-time position is $122,400-$170,000 + equity + benefits.
  • For candidates based in San Francisco, New York City, or Seattle, a separate salary range of $156,400.00-$190,000 applies, consistent with our location-based compensation philosophy.
  • Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States.
  • Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.
  • Your recruiter will provide more details on the specific salary range for your location during the hiring process.
  • 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.
  • Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace
  • We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it.
  • They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come.
  • The chance to shape what mental health care looks like next Competitive pay and
  • How we feel about Diversity, Equity, Inclusion and Belonging:
  • A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.

Contact

  • For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice #LI-REMOTE

Additional details

  • About the Senior Product Scientist at Headspace:
  • 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.
  • 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.
  • At the same time, this role requires clear communication of
  • requirements and roadmap status to cross-functional teams.
  • At Headspace, product leaders are expected to model experimentation with purpose, share feedback with care, and bring a deep commitment to the member journey. What you will do:
  • requirements , partnering with Data Science and Engineering to ensure member-level behavioral signals and model outputs like churn risk and LTV are correctly utilized by the agentic systems to make reliable decisions.

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