Founding Product Engineer

Product Engineer — Early-Stage AI Startup Location: San Francisco, CA Work style: In office Monday–Thursday, remote Friday Compensation: $150K–$230K base + meaningful equity Visa: Sponsorship / transfer support available for qualified candidates Our client is an early-stage AI company building an agentic platform for complex enterprise software implementations. Their product helps project teams capture knowledge, automate repetitive workflows, surface risks, and deploy AI agents across large-scale ERP and back-office transformation projects. This is a high-ownership product engineering role for someone who wants to build across the full stack, work close to customers, and own meaningful parts of the product end-to-end. What you’ll do Build full-stack product features across frontend, backend, data workflows, and AI/agentic systemsOwn product surfaces from idea to production, including architecture, implementation, deployment, and iterationWork directly with customer pain points and translate messy enterprise workflows into scalable softwareBuild LLM-powered features, agent workflows, retrieval systems, and automation toolingMove quickly in a small, highly technical team where engineers own outcomes, not just ticketsHelp shape the product and engineering culture as the team scales What we’re looking for 0–5 years of experience as a software engineer, full-stack engineer, or product engineerStrong CS fundamentals and ability to reason through technical tradeoffsExperience shipping real products or features to users; internships, startup work, and ambitious side projects all countFull-stack ability, ideally with TypeScript / React on the frontend and Python / FastAPI on the backendExperience or strong interest in LLM-powered products, agentic workflows, retrieval, or AI automationClear signs of ambition and ownership, such as founder experience, hackathons, serious side projects, open-source work, or early-stage startup experienceComfort with ambiguity, fast iteration, and working in a high-intensity startup environment Nice to have Experience at an early-stage startup, especially one that grew meaningfully during your time thereExperience building B2B, enterprise, ERP-adjacent, fintech, procurement, accounting, or back-office automation productsFamiliarity with cloud infrastructure, SQL, PostgreSQL, Redis, Temporal, Kubernetes, or distributed systemsExperience working close to customers, consultants, operators, or enterprise users Why this is exciting This is a chance to join a small, talent-dense team building AI into one of the most complex and expensive areas of enterprise software. The product is used in live, high-stakes customer environments, so the feedback loop is direct and the impact of strong engineering is immediate. You will have real ownership early, broad technical surface area, and the opportunity to help define how AI agents are deployed into enterprise workflows.