About the Senior Product Scientist roleat Headspace: We are seeking a Senior Product Scientist to own the measurement systems and data infrastructure that power Headspace's ability to deliver effective, efficient care at scale. This role sits at the intersection of product strategy, data science, and care operations, with a mandate to bring scientific rigor to two of our most consequential problem areas: how we forecast coaching demand and how we demonstrate the value Headspace delivers to members, employers, and health plans. As a Senior Product Scientist, you will partner closely with Data Science, Care Operations, and Clinical leadership to redesign a forecasting system that directly drives staffing, capacity, and cost decisions across our coaching network, while simultaneously building the evidence framework that allows Headspace to tell a credible, compelling ROI story to every audience we serve. 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 analytical depth and strategic clarity to translate complex modeling and measurement challenges into product decisions that meaningfully improve care delivery for our members. 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 Product and Care teams. Your day-to-day responsibilities will include: Craft and deliver against the product roadmap for care demand forecasting, collaborating with Data Science and Care Operations to continuously improve models that translate expected member volume into accurate staffing, capacity, and cost decisions across our care network. Author and maintain comprehensive Product Requirements Documents (PRDs) that translate complex forecasting and measurement requirements into actionable technical specifications, including model architecture decisions, validation frameworks, and operational integration requirements. Provide technical product oversight and coordinate dependencies with Data Science and Care Operations to ensure alignment on forecasting methodology and operational implementation. Define and monitor key technical metrics (e.g., forecast accuracy, model reliability) to ensure models are continuously improving and driving measurable efficiency gains across the care network. Build and maintain a structured validation and learning loop that systematically compares model performance against projections, enabling rapid recalibration and continuous improvement. Develop and implement the measurement framework for ROI, focusing on the evidence infrastructure and reporting capabilities needed to track Headspace’s value across member and operational outcomes. Partner with Clinical, Commercial, and Data Science teams to close measurement gaps and build a credible, scalable value story across key member outcome, workforce, and payer metrics. What you will bring: Required Qualifications 3 to 5 years of experience in product management, data science, or a related field, with a proven track record of owning and delivering complex, analytically driven products or workstreams. Strong analytical skills and comfort working with quantitative modeling, forecasting systems, or measurement frameworks, with the ability to translate technical complexity into clear product decisions and stakeholder communication. Demonstrated experience partnering with data science or engineering teams to define requirements, validate models, and ship data-powered products in production environments. Exceptional strategic thinking skills, capable of identifying the highest-leverage problems, building a clear point of view, and rallying cross-functional partners around a shared plan. Strong communication and interpersonal skills, with the ability to influence and align stakeholders across product, operations, clinical, and commercial functions. Preferred Qualifications Experience in digital health, clinical operations, workforce planning, or enterprise wellness sectors. Familiarity with forecasting methodologies, causal inference, or health economics and outcomes research. Experience building or scaling measurement and reporting infrastructure, including claims analytics, survey systems, or outcomes tracking. A passion for mental health, evidence-based care, 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

Senior Product Scientist (Care Intelligence)

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