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Senior Founding Product Engineer

Sobre el puesto

• Own the AI Coach, including prompting, conversation state and progression, Pinecone retrieval, model selection and evaluation, and the safety/crisis layer tested against scripted clinical scenarios
• Own the backend using Python 3.12, FastAPI, GraphQL (Strawberry), SQLAlchemy, PostgreSQL, and AWS
• Own mobile and web delivery with React Native for iOS and Android and React, including App Store, Google Play, and Stripe subscriptions
• Own release engineering: CI/CD, environments, signing credentials, monitoring, backups, and rollback for fast, safe, frequent releases
• Apply product sensibility to mobile and web UX
• Translate technical decisions into plain language for the founder and clinical team
• Plan work, obtain approval on direction, execute independently, and report outcomes
• Build automated evaluation harnesses for AI Coach scenario suites
• Implement safety thresholds and crisis-handling systems under legal and clinical sign-off
• Report directly to the non-technical founder and manage the engineering function end-to-end

• Proven experience shipping LLM-based products to production: prompt architecture, conversation state machines, RAG/retrieval, evals, moderation and safety handling - not just API calls
• Strong backend engineering: Python, FastAPI (or similar), SQL/PostgreSQL, AWS; comfortable owning infrastructure, CI/CD and production operations solo
• Solid React Native and React: can ship and debug on both iOS and Android, including in-app purchase flows on both stores and Stripe on web
• Demonstrated AI-first development practice: daily use of agentic coding tools, with the judgement to review and own what they produce
• Product sensibility: a genuine eye for mobile and web UX; you notice broken layouts, bad copy and clumsy flows, and fix them
• Self-sufficient operator: track record of owning a product or major system end-to-end with minimal technical oversight; excellent written communication for a non-technical founder
• Care with sensitive data: experience (or demonstrable seriousness) with privacy, security and access controls around personal/health data
• Experience in mental health, health tech or other regulated/safety-critical consumer products
• Experience taking over a codebase from an agency or departing team
• Mobile release operations: App Store / Play Store review cycles, promo codes, staged rollouts
• Analytics and growth tooling: AppsFlyer, GA4, event taxonomy design, experiment frameworks
• Voice features (TTS/STT), push notification strategy, CRM/email platform integrations

• Flexibility in work hours and location, with a focus on managing energy rather than time.
• Access to online learning platforms and a budget for professional development
• A collaborative, no-silos environment, encouraging learning and growth across teams
• A dynamic social culture with team lunches, social events, and opportunities for creative input
• Health insurance
• Leave Benefits