Member of Technical Staff

Member of Technical Staff Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance — we're rebuilding the entire business as software, on a simple bet: turning expert human judgment into compute is one of the largest transitions left to make, and a trillion-dollar industry still run 90% by hand is the place to prove it. We've grown ~100x in the last year and we move at that speed — on-site, in person, long days, very high standards. Almost no one joins Harper for insurance ; they join to build the company that replaces how it works. The role You'll build the AI systems that operate Harper — not features around the edges, the actual intelligence that runs the company. This is full-stack in the truest sense: the interface a customer sees, the backend powering their entire journey (application, business data, history, ongoing service), and the AI layer that makes the decisions. Code you write ships to production and generates revenue the same week. The bet — turning human judgment into compute — gets made or missed in exactly these systems, and right now the gap between what frontier models can do and what's actually shipped in this industry is the widest it will ever be. You work directly with founders. No committee, no approval chain. You build it, you ship it, you own the outcome. What you'll do Build AI agents that run the business. Lead qualification, customer service, underwriter follow-up — working without a human in the loop. Orchestrate the workflows. Document retrieval, carrier API calls, compliance checks, human review — coordinated across thousands of concurrent transactions. Ship voice AI that actually works. Handle the skeptical business owner asking "wait, what does that actually cover?" — live, on the phone. Build systems that compound. Every decision gets traced, every outcome feeds back, and the AI gets sharper with each interaction. What we're looking for 1–4 years building software, full-stack by instinct (frontend, backend, infrastructure). You've shipped AI to production — real systems serving real users, not demos. Comfortable with LLM applications, agent pipelines, or AI systems in production; proficient in Python, TypeScript, or similar. You write code with AI (Cursor, Claude Code, Windsurf) and run multiple sessions at once. You ship fast and iterate — meaningful work in days that other places stretch into months. Bonus: voice or real-time systems; RAG or workflow automation; prior startup experience. The reality On-site in San Francisco, in person, long days, high standards. The trade is unusual: at most companies a junior engineer waits in line behind layers of process; here your code runs a real business the week you write it, and you answer to founders rather than a committee. That only works at this pace, with people who show up with the same intensity every day. The right person wants exactly that. Logistics Compensation: $140,000–$200,000 base + performance bonus + equity. Location: San Francisco, in-office. Based here or willing to relocate. Benefits: Uber commuter benefits; breakfast, lunch, and dinner provided; snacks and coffee stocked; free gym membership; health, dental, and vision. Process: 15-min founder call → Super Day on-site (technical phone screen first if you're outside SF). To apply: Send your resume and a link to something you've built.

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