causal

Member of Operations Staff — Deployment Strategy

Listed by employer · Checked

Older posting · still listed ·

  • onsite
  • FullTime
  • Deployment
  • San Francisco
  • Singapore
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
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Requirements

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Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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.
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 About the deployment team 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.  About the role We look for people who lead through influence and turn the hardest problems into real outcomes. As a Deployment Strategist, you own the holistic set of actions it takes to help a customer win with our technology — starting from their mission, not our software. Your job is to find the true problem, break it into workflows, align everyone from the C-suite to the front-line operator, and drive the solution all the way to impact. Willingness to travel to and spend extended time on-site with customers is required. 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 What we're looking for We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. 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
Original formatting and links

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.

 

About the deployment team

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.

 

About the role

We look for people who lead through influence and turn the hardest problems into real outcomes. As a Deployment Strategist, you own the holistic set of actions it takes to help a customer win with our technology — starting from their mission, not our software. Your job is to find the true problem, break it into workflows, align everyone from the C-suite to the front-line operator, and drive the solution all the way to impact.

Willingness to travel to and spend extended time on-site with customers is required.

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

What we're looking for

We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.

  • 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

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