API, Computer Vision (CV), Data science techniques, Deep Learning, Design, Google Products, Management, Product Development, Python Programming, QGIS - GIS application, Software Development, SQL
Deepomatic is a software editor providing an AI-powered image recognition platform enabling field service companies to get a complete, real-time and objective view over what happens during their numerous everyday field operations.
Since 2014, we have successfully implemented our solution among customers worldwide. We recently closed a B-serie of 10 millions euros and are to become the standard enterprise platform for building real-world video recognition applications. Our operations are expanding more than ever and we are strengthening our Solution Engineer Team where you will have the opportunity to design and build solutions for our prospective US customers, developing a market worth €5B !
We are around 70 people working at Deepomatic, excited by and dedicated to what we do. Within your team and together with Sales Executives and Customer Success Managers, you will be at the crossroads of data science, product expertise and sales.
As the first Solution Engineer in the NA Market, youll be working closely with our NA General Manager to expand our operations and help build a local solution engineering team.
Being the main point of contact for our existing commercial partners in the region to build our understanding of the market and bring the Deepomatic product to new customers and industries, youll also have the opportunity to adapt our tool suite to better fit the North American Market, often working closely with our Product and Data Science teams.
Within 1 month you will :
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Job requirements
Our offices are located in New York and the position requires to be onsite (with hybrid remote).
Perks & Benefits :
⭐️ At Deepomatic, we deeply believe that diversity and inclusion drive innovation. We value difference, especially in a sector that is still struggling with concept.
That is why we are committed tu build a team with a variety of nationalities, backgrounds, skills, views, and abilities.
We are building a work environment in which everyone can bring their authentic selves with confidence. To get the best out of it.
The world of field operations is under pressure: on one side, companies have to deploy new infrastructures quickly (such as fiber optics, 5G, smart meters, electric vehicles charging points, etc.). On the other side, these field operation companies lack field workers to actually work on these infrastructures.