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Remote Sensing Analyst

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Cloud to Street is the leading flood mapping platform designed to protect the world’s most climate-vulnerable communities. By harnessing global satellites, advanced science, and community intelligence, we monitor worldwide floods in near real-time and remotely analyze local flood exposure at a click of a button. Our mission is to ensure that all vulnerable governments finally access the high quality information they need to prepare for and respond to increasing catastrophes. Founded by two women at Yale and seeded by Google, Cloud to Street is or has been used by governments across 15 countries. We are on track to enable new flood protection and insurance for 10 million people in the next 5 years.

We are looking for a creative and committed remote sensing analyst to join our team. You should apply if you are interested in using your geospatial talents toward reducing the impact of flooding in low and middle-income countries. In this role, you will take deep ownership over being the first line of defense for monitoring automatic flood and precipitation alerts from our platform, and report visual and statistical risks to users in a digestible and actionable way. You will work closely with our remote sensing scientists and project managers to improve Cloud to Street’s near real-time flood monitoring product. This position is a good fit for you if you enjoy working on real-world disaster risk reduction through applied scientific insights.

Primary Responsibilities

Characteristics of a Successful Candidate

Useful Experience

As a Cloud to Street member, you:

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Applicants are requested to send their submissions to with: 

Applications will be accepted until December 1st

Cloud to Street is devoted to building an inclusive and diverse company. Women, people of color, and individuals with disabilities are especially encouraged to apply. 

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