The Company:
Descartes Labs is a geospatial intelligence company with science and technology at its core. Launching out of Los Alamos National Laboratory in 2014, we build models of the earth to power the analysis of the world's largest physical systems. Our data science and software solutions create new sources of operational advantage for Agriculture, Consumer Packaged Goods, Mining, and Government.
Descartes Labs is proud to be a remote-first, deliberately distributed organization that recognizes that people have different needs and motivations for building a life and career that matters and works for them. For this reason, we are open to our employees working from any location, in a way that enhances their well-being, productivity, and role. We focus on helping our employees produce positive outcomes and we recognize that the path to getting there will look different for different people.
The Role:
As a Product Manager - Data and Derivative Products, you will define our vision for geospatial imagery, other spatial datasets, and relevant non-spatial data to enable our customers and Descartes Labs scientists to derive new business and science insights related to exploration, safety, supply chain management, and sustainability. You will work with Engineering and our Science and Technology Solutions team to identify data requirements, survey and qualify potential sources, and prioritize the ingestion and transformation of those datasets. You will also work with Sales and directly with customers to identify opportunities to generate revenue from premium datasets and high value derivatives on the Descartes Labs Platform.
You belong here! Nobody checks every box and if your experience and interests match some of the above, we want you to apply.
Descartes Labs is committed to building a diverse community, where employees feel they belong, even if they are different. Scientific discovery is in our DNA and the more inclusive we are, the better our work will be; diversity fuels innovation!
Accommodations will be provided as requested by candidates during all aspects of our interview process.