Member of Operations Staff
Causal Labs
Member of Operations Staff
Causal Labs
Trains physics AI models to forecast weather
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.
To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect. We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.
Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.
We're looking for a versatile operator to help build the company behind the mission. This is a high-ownership, high-autonomy role for someone who wants to work on the company's most important problems — whatever they happen to be that week. Your mission is to be a force multiplier for the founders: bringing structure, analysis, and execution to everything from company strategy to the systems that let us scale.
Responsibilities
Drive high-priority strategic and operational initiatives end to end across the company
Build the operational, financial, and analytical infrastructure that lets the company scale — planning, metrics, systems, and reporting
Own special projects wherever they're needed, from fundraising and finance support to internal operations and vendor management
Bring structure, data, and clear thinking to the company's most important decisions
Take whole problems off the founders' plates and own them to resolution
What we're looking for
We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.
Experience in strategy, operations, consulting, finance, or an early-stage founder or operator role
Exceptional analytical and structured-thinking skills, and comfort with ambiguous, open-ended problems
A strong bias to action and a track record of owning and delivering complex projects
Excellent communication and the ability to work across every function of a company
High autonomy and sound judgment operating without a playbook
Trains physics AI models to forecast weather
Causal Labs is an AI research company building a foundation model of physical systems for industries whose operations turn on the weather. The company trains on atmospheric sensor and observation data rather than text or images, a domain where cause and effect are governed by physics and yesterday's prediction can be scored against what happened. It runs early pilots with commercial partners and pairs researchers with engineers who deploy the models on customer data. Unlike conventional forecasters, which report what conditions are likely, it is also trying to identify which interventions would change an outcome. The company's goal is to make AI reason about cause and effect by grounding it in the most heavily observed physical system available.
Explore more opportunities at Causal Labs