Headspace

Headspace

Senior Product Scientist (Marketing Intelligence)

Remote - United States · Senior · Full-time

Sponsorship not specified$122k-$170kDetected 126 days ago
Data EngineeringData ScienceA/B TestingComplianceProduct ManagementProduct StrategyGrowth MarketingPatient CareLeadershipCommunicationMentoring

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odds of building a lasting career here

52Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • At Headspace, product leaders are expected to model experimentation with purpose, share feedback with care, and bring a deep commitment to the member journey.
  • Your recruiter will provide more details on the specific salary range for your location during the hiring process.

Responsibilities

  • Craft product requirements & experimentation plans for marketing measurement, partnering with Performance and Lifecycle Marketing, Growth, and Data Science to build a durable, cross-channel incrementality testing capability that moves Headspace beyond last-click attribution.
  • Author and maintain product specifications that translate complex measurement and experimentation requirements into actionable technical deliverables for engineering and data science partners.
  • Partner cross-functionally across Marketing, Growth, Engineering, and Data Science to ensure execution aligns with established measurement principles, experimentation standards, and frameworks for evaluating and acting on marketing investment decisions.
  • Partner with Legal and Privacy teams to ensure all measurement and experimentation infrastructure is designed and operated in full compliance with data privacy and consent requirements.
  • Demonstrated experience partnering with data science or engineering teams to define requirements, build data pipelines, and ship measurement systems in production environments.
  • Experience working with customer data platforms, clean rooms, or similar data infrastructure used to support privacy-safe measurement and audience segmentation.
  • Familiarity with causal inference methods and their application to marketing measurement, including holdout group design, geo-based experiments, or synthetic control methods.
  • We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage.

Requirements

  • 3 years of experience in product management, data science, marketing technology, or a related field, with a proven track record of owning and delivering complex, analytically driven products or workstreams.
  • Solid grasp of identity resolution, event logging, and the data architecture considerations required to produce reliable, unbiased measurement across digital marketing channels.
  • Strong communication and interpersonal skills, with the ability to influence and align stakeholders across marketing, growth, engineering, and legal functions.
  • Design and deliver the experimentation infrastructure required to measure the true causal impact of paid media spend on member acquisition, long-term retention, and sustainable LTV across all marketing channels.

Nice to have

  • Experience navigating data privacy and consent requirements such as GDPR, CCPA, or ATT in the context of marketing measurement and experimentation.
  • Candidates must permanently reside in the US full-time.
  • Your recruiter will share more details.

Compensation

  • The anticipated new hire base salary range for this full-time position is $122,400 - $170,000 + equity + benefits.

Benefits

  • The chance to shape what mental health care looks like next
  • Competitive pay and benefits that support your whole self
  • The anticipated new hire base salary range for this full-time position is $122,400 - $170,000 + equity + benefits.
  • At Headspace, base salary is but one component of our Total Rewards package.
  • Additional details about our Total Rewards package will be provided during the recruitment process.
  • Headspace exists to provide every person access to lifelong mental health support.
  • 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.
  • 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.

Company info

  • 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.
  • At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together.
  • These values shape our decisions, guide our collaborations, and define our culture.
  • A culture that's collaborative, inclusive, and grounded in our values
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This listing is sourced directly from Headspace's careers page and normalized into a canonical job model.