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-cleared digital therapeutics—SleepioRx for insomnia and DaylightRx Treatment 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.
Position Summary
As the Senior Product Engineer, you will lead the design and delivery of complex features across the full stack — from patient-facing therapeutic experiences to internal tools and data infrastructure. You will manage multiple workstreams simultaneously, mentor junior engineers, and influence technical decisions that shape how Big Health's products are built and scaled. This role requires both strong technical execution and the judgment to make sound architectural trade-offs.
Lead the design and implementation of complex product features across React, React Native, Next.js, Python, Django, and GraphQL — from technical design through production deployment.
Own end-to-end delivery of projects that span frontend, backend, and data layers, making sound trade-offs between speed, quality, and maintainability.
Architect and improve core product systems — therapeutic delivery, patient engagement, outcome measurement, and clinical data pipelines — designing for reliability, accessibility, and scale.
Mentor IC1 and IC2 engineers through code reviews, pairing sessions, and technical guidance, raising the quality bar across the team.
Contribute to architectural decisions and technical planning, authoring design documents and participating in the RFC process.
Collaborate closely with Product and Clinical teams to understand patient needs, clinical requirements, and outcome metrics — and translate them into engineering solutions that ship value.
Proactively monitor and improve system reliability using Datadog, Sentry, and PostHog, and lead incident response when production issues affect patient access.
Leverage AI-augmented development workflows (e.g., Claude Code, Copilot) for code generation, testing, and code review — and help establish team practices for effective AI tool use.
Achieve Practitioner-level certifications across core competency domains and Advanced certification in your primary track (frontend or backend).
Required
3–6 years of professional software engineering experience, with demonstrated ability to lead feature delivery across frontend and backend systems
Strong proficiency in Python and TypeScript, with hands-on experience building production applications using React and Django (or equivalent frameworks)
Solid understanding of API design (REST and GraphQL), relational database modeling (PostgreSQL), and distributed system fundamentals
Proven ability to manage multiple concurrent workstreams and deliver reliably against project timelines
Experience designing systems that balance performance, accessibility, and maintainability
Comfort working independently in AI-augmented workflows — using AI tools to accelerate development while critically evaluating output for correctness, security, and maintainability
Strong written and verbal communication skills, including the ability to explain technical trade-offs to non-technical stakeholders
Preferred
Experience building patient-facing health applications or software in regulated environments (FDA, HIPAA)
Familiarity with React Native, Expo, or cross-platform mobile development
Exposure to healthcare data standards (FHIR, HL7) or clinical data systems
Experience with AWS, Supabase, Vercel, and infrastructure-as-code practices
Track record of mentoring junior engineers and improving team engineering practices
Experience establishing team patterns for AI-assisted development, including evaluating and iterating on AI-generated architectural suggestions
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.