About the role
Who we are Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond. Odyssey’s founders previously pioneered the most complex application of physical AI: self-driving cars. They’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD). Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines.
What we're looking for We need someone who can own the compute partnership layer end-to-end and can evangelize a multi-cloud strategy with chip manufacturers, hyperscalers, and neoclouds. That means running co-sell motions with hyperscaler field teams, sitting down with Solutions Architects to work through real technical
requirements, and holding a point of view on how we get the most out of every dollar of compute we buy. The end state is a Return on Compute strategy. Not a slide deck, but a living framework that shapes how we allocate, negotiate, and deploy compute across research, customers, and more. This is not a relationship management role. You will be in the field closing deals, on the whiteboard designing joint GTM plays, and in the room when we are deciding what the next compute architecture looks like. You need to understand how hyperscaler sales organisations work, how marketplace channels reach enterprise customers, and how to translate that into pipeline. You also need enough technical depth to hold your own with on chip architecture and with our infrastructure engineers on cluster design and model serving.
