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Senior Product Engineer at Big Health. Location Information: United States. Our purpose is to help millions back to good mental health. We do this by creating fully-automated and highly personalized digital therapeutics for mental health. . Designed by leading clinical experts, our solutions feature cognitive and behavioral techniques — Sleepio™ for helping individuals address poor sleep, and Daylight™ for helping individuals address worry and anxiety. With offices in London and San Francisco, our products are used by large multinational employers and major health plans to help improve sleep and mental health. To date, more than 12 million people across 60+ countries have access to Sleepio or Daylight.. 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).. 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. 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. Pay range:. $140K - $185K