We are looking for a best-in-class remote sensing scientist with expertise in analysis of high-resolution synthetic aperture radar (SAR) imagery to lead algorithm development for flood detection. You will work closely with our team’s remote sensing scientists, machine learning engineers, and hydrologists to build novel flood analytics and practical decision-support tools for disaster responders, flood managers, and insurers.

We are looking for a Senior Infrastructure Engineer to lead the development of cloud infrastructure at Cloud to Street. As part of a small engineering team, you will be responsible for a wide range of engineering work spanning infrastructure, DevOps, and site reliability engineering.

We are looking for a proven sales leader to lead revenue generation for our current products and help develop the business model for new product lines. This position will work with the CEO and Heads of Deployment and Product, and has the opportunity to grow a sales operation under them.

We are looking for a hydrologist to integrate model insights with Earth observations to build the best near real-time flood map, anywhere in the world. You will lead integration of data from models, satellites, and other sources to map and predict floods, ensure uncertainty is communicated effectively to our users, and that satellites get tasked at the right time to the right location.

We are looking for a Head of Commercial to develop and lead all business units for our fast-growing company. This position will report directly to the CEO and be part of senior management.

We are looking for a strong Head of Operations to build the foundation of the company, alongside our CEO, as we scale from 15 to 200 in the next several years. You will manage the current and your future operations team, report directly to the CEO, and the potential to be part of our senior leadership team for the right candidate. 

We are looking for an experienced Machine Learning Engineer to help us scale up our Deep Learning efforts to turn optical and radar satellite imagery into actionable insights. In this role, you will take ownership of large projects in Cloud to Street’s Deep Learning agenda - building the full pipeline from training data collection to model training and testing.