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The Product Engineer will own product surfaces end-to-end, turning rough ideas into shipped and measured features. They will collaborate with research and engineering teams to build the interface layer for world models and embodied AI systems.
Candidates need approximately 3+ years of experience building production web products with strong proficiency in React, Next.js, TypeScript, and Python. A proven track record of shipping in ambiguous, fast-paced environments and sound product/UX judgment are essential.
Introducing Moonlake, AI for creating world simulations.
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 (e.g., assets, scenes, digital twins) at scale.
Our team 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
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 engineer, excellent React/Next.js/TypeScript; 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 drive alignment proactively
- Sound product and UX judgment — you decide 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 UIs, generative UI, etc.
- Building scalable backend services and APIs
- AI-native product workflows
BONUS POINTS (any one is a plus, none required)
- Extensive experience building and shipping agent / LLM-powered product features
- Founding / 0→1 engineer, or entrepreneurial experience
- Physics AI / simulation and robotics stack — Isaac Sim, MuJoCo
- 3D asset workflows (Blender) or other world-building / assets-building tools
Moonlake is building tools that sit between:
AI systems and human creativity
Simulation and interaction
Research infrastructure and product experience
The interface layer is critical. These products must make highly complex systems feel intuitive, responsive, and powerful.
You’ll help define how people interact with the next generation of world-building and embodied AI tools.
We are committed to being an on-site, in-person team currently based in San Francisco.
Embedding is an early-stage VC (venture capital && vibe coding) firm backing the future of AI.
Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.
Offices: Menlo Park, CA, US · Los Angeles, CA, US
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