Senior Product Engineer

• 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