Deployment Strategist at Causal Labs | California, USA | Rezi

Deployment Strategist at Causal Labs

Deployment Strategist

Causal Labs · California, USA

1 weeks ago

Deployment Strategist

Causal Labs · California, USA

10 days ago
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About the Role

We are building a Large Physics foundation Model (LPM) to achieve general causal intelligence, enabling AI to predict and alter physical systems. The deployment team turns our models into real-world results by embedding with high-stakes decision-makers. As a Deployment Strategist, you will own the holistic set of actions to help customers succeed with our technology, starting from their mission.

Responsibilities

  • Identify the true problem limiting a customer's mission, understanding their requirements deeply enough to identify when the problem is not the one they first describe
  • Decompose that problem into its component workflows, and design solutions backwards from how people actually work
  • Align stakeholders across the customer's organization, from executives to front-line operators
  • Own the full set of actions — technical, operational, and organizational — required to reach real impact
  • Partner with Forward Deployed Engineers and Product Managers to build and deliver the software and AI solutions that win

Requirements

  • A track record of driving complex initiatives to outcomes by leading across organizations
  • Strong problem decomposition and structured thinking — you find the real problem and solve backwards from the user
  • Exceptional stakeholder management and the leadership to align people at every level
  • Enough technical fluency to partner credibly with engineers and shape a real solution
  • Willingness to embed with customers, including travel and time on-site
  • A facilitator's instinct: you pair deep rigor with the leadership that moves people
  • Willingness to travel to and spend extended time on-site with customers is required

Skills

  • Problem-solving
  • Rapid execution
  • Quick learning
  • Structured thinking
  • Stakeholder management
  • Leadership
  • Technical fluency
  • Facilitation

Location

  • On-site with customers

Work Type

  • Full-time

Experience Level

  • Mid-level

About the Company

  • 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.
  • A model only matters if it changes what happens in the real world. Our deployment teams embed directly with the institutions that make the highest-stakes decisions about physical systems. They turn our models into results those institutions can depend on and carry everything we learn in the field back into the product. Deployment works in small, cross-functional pods and partners closely with Product Engineering, which builds the platform the pods deploy.