Solutions Engineer

Santa Fe, NM or New York, NY or Minneapolis, MN
Descartes Labs is looking for a talented and driven Solutions Engineer to join us as a member of the rapidly growing Commercial Engagement Team. You should have a passion for creating client value, cutting edge technology and the world of big data. This position offers the opportunity to help industry-leading companies embark upon the journey to digitization. You will work with a wide array of members from the Descartes Labs team. This role spans the full sales and implementation cycle and is highly customer facing. In it, you will become an advocate for our technology and help transform the way companies utilize geospatial data.

Roles and Responsibilities

    • Independently manage and prioritize various inbound requests from different teams (sales, product, and science) and deliver high-quality resultsAid in the sales process by working with our Business Development team to create and deliver unique customer demos of our platform
    • Become an expert in the art of the possible
    • Be a resource for our Business Development team as we scope and identify creative solutions to customer problems
    • This will require travel to prospective client locations. Contribute to our internal feasibility process. Assess ideas from the sales and product team from a technical perspective
    • Brainstorm potential approaches to determine if a project could be successful
    • Manage custom integration and software adoption efforts at our largest enterprise customers
    • Be independent and adaptableBe willing to travel approximately 25% of the time


    • Ability to map complex technical capabilities onto business-level needs
    • Ability to craft messaging to resonate with users from different backgrounds and across industry segments
    • Ability to speak authoritatively to how Descartes Labs creates value for both executives and scientists
    • Nimble in meetings with current and prospective customers
    • Experience writing Python in a production software environment
    • Experience with cloud computing and microservices architecture
    • Data science experience
    • Geospatial experience is a plus, particularly with relevant software (GDAL, Esri/ArcGIS, Google Earth Engine)