Synthetaic is hiring a
Federal Solutions Engineer

Summary

The job is for a Federal Solutions Engineer at Synthetaic, a company specializing in AI technology. The role involves collaborating with sales executives to understand customer requirements, preparing technical presentations, creating customized proposals, serving as a liaison between teams, and maintaining professional knowledge.

Requirements

• Bachelor’s degree in a technical field (mathematics, engineering, data science), business admin, communications, or marketing
• Strong communication, interpersonal, customer service, and sales skills
• The ability to relay technical information to non-technical customers
• 5+ years’ experience in sales/solutions engineering (or related role) in the federal space
• Experience working in a fast-paced tech startup environment
• Experience with Python or similar scripting/programming language
• Appropriate security clearances
• Permanent eligibility to work in the United States without sponsorship
• Local to Washington DC

Responsibilities

• Collaborate with sales executives to understand customer requirements and provide sales support
• Prepare technical presentations to explain the company's products and services to federal customers
• Work with sales leaders to create customized proposals and ultimately close enterprise level software/service deals
• Serve as a technical liaison between sales, product, customer delivery, and engineering teams
• Work with the internal product development team to help identify and prioritize functionality that will deliver increased value to federal customers
• Solicit and log customers’ feedback to create new sales and marketing strategies
• Maintain professional and technical knowledge by attending relevant workshops and conferences, reviewing professional publications, and establishing personal networks

Preferred Qualifications

• Data management, transformation, and processing skills (ideally with imagery)
• Experience working with various geospatial datasets (GIS, remote sensing, vector and raster)
• Experience with machine learning, data science, computer vision, and image processing
• Ability to use common geospatial and image processing tools/packages such as: GDAL, geopandas, Q/ArcGIS, opencv