Staff Full Stack Product Engineer

Quick Facts - Role: Staff Full Stack Product Engineer - Focus: End-to-end product architecture and AI-powered feature delivery - Work style: Remote-first (remote candidates evaluated case-by-case) Description Own the architecture for a next-generation member experience by defining a cohesive full-stack strategy across frontend, data architecture, backend integrations, and agentic automation. Lead the development and rollout of AI-powered features across the stack with reliable patterns, guardrails, and evaluation/observability. Drive multi-quarter, company-critical initiatives from concept to delivery while raising engineering standards and mentoring engineers. Responsibilities - Own end-to-end architecture and break the full-stack strategy into phased work - Solve user problems at scale and translate data-driven insights into product improvements - Design and ship AI-powered features across the stack; define patterns, guardrails, and evals - Lead multi-quarter initiatives from concept to delivery, resolving cross-team dependencies - Translate ambiguous business needs into coherent technical strategies with Product and Design - Set architectural direction across React, TypeScript, Node.js, Python, and serverless GCP - Make high-leverage architectural calls balancing speed with long-term platform health - Champion agentic development workflows and drive adoption - Mentor senior engineers and model ownership and systems thinking - Own reliability by design and lead resolution of complex incidents Requirements - Staff-level experience owning architecture and technical direction for multi-team, multi-quarter efforts - Experience shipping GenAI features in user-facing products (evals, observability, cost, reliability) - Expert full-stack experience with React, TypeScript, and Node.js and/or Python, including API and system design and data modeling - Track record reducing complexity and maintenance cost through simplification - Proven ability to decompose large, ambiguous initiatives into phased roadmaps - Fluency with agentic development workflows and a history of driving adoption - Experience maturing agent harnesses (agent loop, tools, memory/context, guardrails, orchestration, extensions like hooks/skills/MCP) - Strong product and business judgment (build vs. buy vs. partner, and impact on customer experience, cost, revenue) - Hands-on scalable, secure system design on major clouds (GCP preferred; AWS/Azure acceptable). Experience with sensitive financial/personal data is a plus - Strong communication around architectural tradeoffs and decisions - Ability to elevate engineering culture and grow engineers Benefits - Remote-first structure - Medical, dental, and vision - 401(k) - Mental wellbeing support (Talkspace) - Financial wellbeing support (LearnLux) - Paid vacation and sick leave - Paid sabbatical after 5 years of service - Supportive, inclusive team culture - Continuous learning and growth opportunities in a fast-growing startup