Senior Product Scientist (Marketing Intelligence)

Remote from
USA flag
USA
Salary, yearly, USD
122,400 - 170,000
Employment type
Full Time,
Job posted
Apply before
30 Jun 2026
Experience level
Senior
Views / Applies
12 / 3

About Headspace

Making it our mission to improve the health & happiness of the world.

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Headspace is hiring a Senior Product Scientist to build and maintain the marketing measurement infrastructure that powers evidence-based decisions on member acquisition and retention. This role involves designing experimentation systems, improving data architecture, and partnering with cross-functional teams to move beyond last-click attribution. The ideal candidate has 3+ years in product management or data science, with expertise in incrementality testing and marketing measurement. The position offers a salary range of $122,400–$170,000 per year and is based in the US. This is a high-impact role requiring both scientific rigor and strategic clarity.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role demands deep expertise in marketing measurement, experimentation, and data architecture, plus strong cross-functional collaboration, making it challenging but not entry-level.

Salary Analysis

Median Market Rate
USD146,200
US Market
USD120k – USD180k
0 USD198k
AI Insight The offered salary range of $122,400–$170,000 is competitive for a Senior Product Scientist role in marketing intelligence, aligning with the US market median of $146,200. This reflects the specialized nature of the role and the value of incrementality testing expertise.

Key Skills

Product Management Data Science Marketing Measurement Incrementality Testing Experimentation Infrastructure Identity Resolution Media Mix Modeling Cross-functional Collaboration Growth Marketing Data Architecture

Dear Hiring Manager,

I am excited to apply for the Senior Product Scientist (Marketing Intelligence) role at Headspace. With over 5 years of experience in product management and data science, I have a proven track record of building cross-channel experimentation infrastructure that drives evidence-based marketing decisions. At my previous company, I led the development of an incrementality testing framework that improved marketing ROI by 20%.

My expertise in identity resolution, media mix modeling, and multi-touch attribution aligns perfectly with Headspace's need to move beyond last-click attribution. I am passionate about using rigorous measurement to connect media investment to long-term member value, and I thrive in collaborative environments where I can partner with marketing, engineering, and data science teams.

I am particularly drawn to Headspace's mission to improve mental health and would be honored to contribute to sustainable member growth. Thank you for considering my application.

Sincerely,
[Your Name]

Can you describe your experience with designing and implementing incrementality testing frameworks for marketing channels?
I have led the development of incrementality testing by using geo-based experiments and holdout groups to measure causal impact. For example, at my previous company, we set up a randomized controlled trial across Facebook and Google Ads, which revealed that 30% of our paid search spend was cannibalizing organic traffic, leading to a reallocation of budget.
How would you approach building a cross-channel experimentation infrastructure from scratch?
First, I would assess current data architecture and identity resolution capabilities. Then, I'd define key metrics like LTV and retention, and design experiments with proper randomization and control groups. I'd collaborate with engineering to build data pipelines, and with marketing to ensure alignment. Finally, I'd implement a learning system to synthesize findings across channels.
How do you ensure data privacy and compliance when designing measurement systems?
I work closely with Legal and Privacy teams to ensure all data collection and processing comply with regulations like GDPR and CCPA. This includes using anonymization techniques, obtaining proper consent, and implementing data governance policies. I also design experiments to minimize data exposure while maintaining statistical validity.
Describe a time when you used data to influence a strategic marketing decision. What was the outcome?
At my last job, I analyzed multi-touch attribution data and found that email marketing had a higher incremental lift than previously thought. I presented this to leadership, leading to a 15% budget increase for email campaigns, which resulted in a 10% boost in member retention over six months.
How do you balance long-term LTV goals with short-term acquisition metrics?
I focus on incrementality testing to understand the true impact of marketing spend on both acquisition and retention. By measuring long-term LTV through cohort analysis, I can identify channels that drive high-quality members. I then advocate for investing in those channels even if short-term CPA is higher, as they yield better lifetime value.

About the Senior Product Scientist roleat Headspace:

We are seeking a Senior Product Scientist to own and maintain the marketing measurement foundation that powers Headspace’s ability to make confident, evidence-based decisions about how we acquire and retain members at scale. This role sits at the intersection of product strategy, data science, and growth marketing, with a mandate to move Headspace toward a rigorous, durable incrementality testing capability that connects media investment to long-term member value. As a Senior Product Scientist, you will partner closely with Performance and Lifecycle Marketing, Growth, Engineering, and Data Science to support the design and execution of the cross-channel experimentation infrastructure, identity resolution architecture, and measurement systems required to understand the true causal impact of our marketing spend. At Headspace, product leaders are expected to model experimentation with purpose, share feedback with care, and bring a deep commitment to the member journey. This role requires both scientific rigor and strategic clarity to translate complex measurement challenges into product decisions that drive sustainable, high-quality member growth.

What you will do:

As a Senior Product Scientist, you will be responsible for a variety of tasks crucial to the success of the Headspace Growth and Marketing teams. Your day-to-day responsibilities will include:

  • 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.
  • 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.
  • Details and owns the outcome of the roadmap for data architecture and identity resolution foundation required to support reliable, scalable measurement, ensuring consistent signal across channels and reducing measurement bias and contamination.
  • 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.
  • Define and monitor the key metrics that connect platform-level measurement capabilities to business-level outcomes, including member acquisition quality, retention impact, and long-term LTV.
  • Maintain and iterate on a structured learning system that synthesizes incrementality findings across channels and over time, enabling leadership to make confident, evidence-based investment decisions at scale.
  • 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.

What you will bring:

Required Qualifications

  • 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.
  • Strong understanding of marketing measurement concepts including incrementality testing, media mix modeling, multi-touch attribution, and the technical infrastructure required to support cross-channel experimentation at scale.
  • Demonstrated experience partnering with data science or engineering teams to define requirements, build data pipelines, and ship measurement systems in production environments.
  • 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.

Preferred Qualifications

  • 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.
  • Prior experience in digital health, consumer subscription, or direct-to-consumer sectors where member LTV and retention are primary business drivers.
  • Experience navigating data privacy and consent requirements such as GDPR, CCPA, or ATT in the context of marketing measurement and experimentation.
  • A passion for mental health, evidence-based decision making, and the mission of Headspace.

Location: This role is open to candidates across the US, with preferred locations in San Francisco, CA (hybrid), New York City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US full-time.

If your primary residence is in the greater San Francisco Bay Area, this role follows our hybrid model, with 3 days per week in office to support in-person collaboration. Your recruiter will share more details.

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 $156,400-190,000 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

Headspace exists to provide every person access to lifelong mental health support. 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.

At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. 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.

Why You’ll Love Working Here:

  • A mission that matters—with impact you can see and feel
  • A culture that’s collaborative, inclusive, and grounded in our values
  • The chance to shape what mental health care looks like next
  • Competitive pay and benefits that support your whole self

How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. 

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. 

*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.

Headspace participates in the E-Verify Program.

Privacy Statement

All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company’s benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. 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.

As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. 

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

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

Apply now >

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