Join Our Growing Team

Current Openings


Administrative and Communications Associate
We are looking for a creative and agile Administrative and Communications Associate to join our team. You should apply if you are interested in joining a scientific team committed to fighting for the safety of climate-vulnerable people around the world. In this role, you will spearhead administrative and organizational processes that are critical to our success. You will also take deep ownership of our social media presence and our newsletter, which highlights the most exciting achievements from us and our partners each month.
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Data Fusion Scientist (Machine Learning / Remote Sensing Data

Assimilation)
We are looking for a best-in-class data fusion scientist to lead innovation to downscale passive microwave sensors using radar and optical high resolution flood maps. You should apply if you are eager to use science to reduce the impact of catastrophic flooding and build an innovative and sustainable organization. In this role, you will lead the development of machine learning based algorithms trained on high resolution flood events to downscale passive microwave sensors.
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Benefits
About Us
Cloud to Street is the leading flood mapping and monitoring platform designed to enable emergency preparation and response for the world’s most climate vulnerable communities. We harness global satellites, advanced remote sensing science, human centered design, and community intelligence to detect floods in near real-time around the world and dynamically analyze local flood risk for immediate and long term decision-making. Our mission is to ensure that all vulnerable governments have access to the best information and to the support tools they need to prepare and respond to increasing catastrophes. Cloud to Street is or has been used by governments in 11 countries. We are on track to enable new flood protection and insurance for 10 million people in the next 5 years. 

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Join us as we get millions of new people on climate insurance and map the 100 most vulnerable watersheds.

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