GTM - Engineering

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 robotics, embodied AI, simulation, gaming, and multimodal agents. We are developing AI-native tooling for creating dynamic worlds where geometry, physics, visuals, audio, and interaction remain coherent in real time.

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.

We’re looking for a GTM Engineer who can bridge the gap between Moonlake’s deeply technical systems and enterprise customers.

This is not a traditional role. The ideal candidate can:

• Understand highly technical AI systems

• Prototype quickly

• Build demos and tooling

• Communicate credibly with researchers, engineers, and enterprise stakeholders

• Translate customer pain points into technical workflows

This is one of Moonlake’s highest-priority hires.

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  Build technical demos, prototypes, and workflows that showcase Moonlake’s capabilities

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  Work directly with customers and partners to understand use cases and technical requirements

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  Translate customer problems into product insights and engineering feedback

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  Prototype AI-powered workflows, integrations, and internal tooling

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  Support pilots, evaluations, and technical onboarding

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  Help shape the GTM motion for frontier AI infrastructure and world-model systems

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  Collaborate closely with research, engineering, and product teams

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  Communicate complex technical concepts clearly to technical and non-technical audiences

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  Move fluidly between coding, product thinking, and customer interaction

• Strong technical foundation (CS background or equivalent experience)

• Ability to code quickly and prototype independently

• Strong communication and executive presence

• Comfort operating in ambiguity and fast-moving environments

• Ability to understand complex ML / AI systems at a conceptual and implementation level

• Customer-facing instincts with strong product intuition

• Experience building technical demos, proof-of-concepts, or customer-facing tooling

• Curiosity around embodied AI, simulation, world models, robotics, or interactive environments

• Experience with embodied AI, robotics simulation, RL environments, or interactive 3D systems

• Familiarity with world models, multimodal AI, or real-time generation systems

• Experience working with frontier AI customers or developer tooling

• Background in gaming, graphics, simulation, or AI infrastructure

• Experience shipping internal tooling or rapid prototypes using AI coding workflows

Moonlake’s products are highly technical and deeply novel. The company needs someone who can help customers understand not just what the technology does, but how it transforms real-world workflows.

You’ll serve as a bridge between:

• Research and enterprise

• Engineering and adoption

• Product capability and customer value

This role is critical to helping Moonlake identify the right partners, shape product direction, and accelerate adoption of interactive world-model systems.

We are committed to being an on-site, in-person team currently based in San Mateo