Member of Technical Staff - Product Engineer

Job description

Introducing Moonlake, AI for creating world simulations. ## About Moonlake Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics, and gaming. We develop the simulation infrastructure to build worlds—including assets, scenes, and digital twins—at scale. Our work sits at the intersection of: - Embodied AI - Robotics Simulation - Interactive 3D Worlds - World Models - Real-Time Generation - AI Infrastructure Moonlake is building the next generation of AI infrastructure for interactive digital worlds. Our mission is to enable anyone to create, simulate, and interact with rich environments using natural language and multimodal inputs—turning simple ideas into worlds with structure, logic, and agents that can perceive and act. Our team has raised **$28M in seed funding** from **NVIDIA Ventures, Threshold Ventures, AIX Ventures**, and notable angels including **Naval Ravikant** and **Jeff Dean** to build the foundational layer for the future of AI—powering everything from creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet. We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI. ## The Role We're looking for a **Product Engineer** who combines strong full-stack engineering with sharp product judgment and a bias for shipping. We want someone who can: - Own a product surface end-to-end—not a ticket queue - Turn a rough idea into a shipped, measured feature - Build full-stack, front to back (React / Next.js / TypeScript + Python) - Make product decisions without waiting for a PM - Ship fast and iterate on real usage ## Why This Role Matters Moonlake is building products that sit at the intersection of AI systems and human creativity, simulation and interaction, and research infrastructure and product experience. The interface layer is critical. As AI systems become increasingly capable, the challenge is no longer just building better models—it's making those capabilities intuitive, responsive, and effortless to use. You'll help define how researchers, developers, and creators interact with the next generation of world-building and embodied AI tools. ## What You'll Do - Scope fuzzy product goals into testable, instrumented features, and measure their impact. - Break down ambiguous work, sequence it, and drive it to production. - Collaborate closely with research, engineering, and founders building world models and embodied AI systems. - Use AI-native engineering tools (Claude Code, Codex, or similar) to ship faster. ## What We're Looking For - A track record of shipping real product in ambiguous, fast-moving environments—you turn ambiguity into outcomes. - ~3+ years building and shipping production web products (we index on track record over years). - Strong full-stack engineering experience with React, Next.js, and TypeScript, combined with solid backend engineering judgment. You design sound database schemas and system architecture and understand the tradeoffs. - Strong technical communication—you turn ambiguity into clear plans, explain tradeoffs to non-engineers, communicate with high signal, and proactively drive alignment. - Sound product and UX judgment—you know what's worth building. ## Technical Experience We Value - React, Next.js, TypeScript, Tailwind, shadcn, and modern web application architecture. - Building product features and UI/UX for agentic systems—where AI takes actions, reasons over state, and drives multi-step, long-horizon workflows with streaming and generative interfaces. - Building scalable backend services and APIs. - AI-native product workflows. ## Bonus Points Experience in any of the following is a plus, but not required: - Extensive experience building and shipping agent- or LLM-powered product features. - Founding engineer or 0→1 startup experience. - Physics AI, simulation, or robotics stacks such as Isaac Sim or MuJoCo. - 3D asset workflows (Blender) or other world-building and asset creation tools. We are committed to being an on-site, in-person team currently based in San Francisco.