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Big Health is hiring a Patient Engagement Manager Contractor

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Job Description

Our Mission
At Big Health, our mission is to help millions back to good mental health by providing fully digital, non-drug options for the most common mental health conditions. Our FDA-clear digital therapeutics—SleepioRx for insomnia and DaylightRx for anxiety—guide patients through first-line recommended, evidence-based cognitive and behavioral therapy anytime, anywhere. Our digital program, Spark Direct, helps to reduce the impact of persistent depressive symptoms. 
 
In pursuit of our mission, we’ve pioneered the first at-scale digital therapeutic business model in partnership with some of the most prominent global healthcare organizations, including leading Fortune 500 healthcare companies and Scotland’s NHS. Through product innovation, robust clinical evaluation, and a commitment to equity at scale, we are designing the next generation of medicine and the future of mental health care. 
 
Our Vision
Over the next 5-10 years, we believe digital therapeutics will transform the delivery of healthcare worldwide by providing access to safe and effective evidence-based treatments. Big Health is positioned to take the lead in this transformation.
 
Big Health is a remote-first company, and this role can be based anywhere in the US.
 
Join Us
We're looking for a Patient Engagement Manager contractor to optimize how patients engage with our digital therapeutics after enrollment. Reporting to the Director of Patient Products & Growth, you'll focus on one question: how do we get more patients to start treatment, stick with it, and achieve better outcomes?

You'll live in the data and the tooling — analyzing where patients drop off, hypothesizing why, building and optimizing the messaging journeys that bring them back, and running experiments to test what works. This is not a product management role. You won't own a product roadmap, write PRDs, or drive engineering sprints. Instead, you'll partner with the product, engineering, and clinical teams to improve engagement across our patient-facing products using analytics, user research, and hands-on engagement platform configuration.

This role is ideal for someone with 2–4 years of experience in engagement, lifecycle marketing, or growth who is analytically rigorous, deeply empathetic toward users, and wants to work at the intersection of technology and evidence-based mental health care.


Key Responsibilities
  • Analyze product usage data and engagement metrics to identify drop-off points, retention patterns, and opportunities for intervention across the patient journey — from activation through treatment completion.
  • Own configuration and optimization of engagement journeys in Iterable — including push notifications, SMS, in-app messages, email, lifecycle messaging, re-engagement flows, and frequency capping.
  • Design and run experiments to test engagement hypotheses: define success metrics, monitor results, analyze outcomes, and present actionable recommendations to product leadership.
  • Conduct user research — interviews, survey analysis, and support channel review — to understand where and why patients disengage from treatment.
  • Build and maintain analytics dashboards in PostHog to track activation, session completion, diary adherence, re-engagement rates, and other engagement metrics.
  • Synthesize qualitative and quantitative engagement insights into clear recommendations that the product and clinical teams can act on.
  • Collaborate with design and clinical teams to propose UX and messaging improvements that address identified engagement gaps.
  • Leverage AI tools (e.g., Claude, ChatGPT) to accelerate research synthesis, experiment analysis, and engagement copy iteration.

  • Required Qualifications

    Required

  • 2–4 years of experience in engagement, lifecycle marketing, growth, or a related analytical role — ideally in a mobile app environment
  • Hands-on proficiency with an engagement platform (Iterable, Braze, Customer.io, or similar) — you've built and optimized journeys, not just reported on them
  • Experience with product analytics tools (PostHog, Amplitude, Mixpanel, or similar) and comfort building dashboards and running ad hoc analyses
  • Demonstrated experience running experiments and making data-informed decisions about messaging, timing, and channel strategy
  • Deep empathy for users and curiosity about why people engage or disengage with products — you dig into the data but also talk to users
  • Strong communication skills — you can synthesize findings into clear recommendations and present them to cross-functional stakeholders
  • Self-directed and organized — you manage your own workstreams and drive projects to completion with minimal oversight
  • Preferred

  • Experience working on learning products, behavior change apps, or self-improvement platforms where sustained engagement is the core challenge
  • Familiarity with SQL or willingness to develop data querying skills
  • Experience with digital therapeutics, health tech, or regulated health software
  • Comfort with AI-assisted workflows and willingness to experiment with AI tools for copy generation, research synthesis, and analysis
  • Working knowledge of Figma — enough to annotate flows or propose UX changes in context
  • Interest in transitioning into product management — you see this role as an opportunity to build analytical, research, and cross-functional skills that prepare you for a PM career path

  • We at Big Health are on a mission to bring millions back to good mental health, in order to do so, we need to reflect the diversity of those we intend to serve. We’re an equal opportunity employer dedicated to building a culturally and experientially diverse team that leads with empathy and respect. Additionally, we will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
     
    Big Health participates in E-Verify for all new hires in the United States.
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    Salary Information

    Salary: $120,000 - $145,000

    🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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