Solutions Engineer - Federal

Privateer Space, Inc., leverages geospatial data and artificial intelligence to provide critical insights across a variety of sectors and applications. 

In short, we help our customers know more, know better, and do better.

Privateer is a leader in Earth intelligence and AI, integrating data from sea to space and everything in between to sculpt information into answers. Its advanced, user-centric geospatial analytics platform Elements enables organizations to understand the present, anticipate the future, and make better decisions in the face of complex challenges. Co-founded by Apple pioneer Steve Wozniak, the company is committed to unlocking the valuable insights that will help problem-solvers address the world's toughest challenges and drive shared, sustainable use of our resources – on Earth and beyond.

Skills and Traits of Competitive Candidates

You will use your domain knowledge and experience to define customer mission sets, and apply both your creative and technical prowess to design solutions to meet these challenges with the sensor data, analytics, and flexibility of the Elements platform at your disposal. 

 

You thrive on solving problems, and collaborating cross functionally. You enjoy traveling — close to home or far away— to visit customer sites to discover how Privateer can help contribute capabilities to some of our country’s most critical mission sets. Whether working remote or at a customer site, you may start your day in a customer meeting where you’ll articulate how a certain computer vision algorithm works to an audience of mixed technical aptitude, while highlighting the unique data fusion and tip-and-cue features of Elements. Afterwards you may write some Python code using the Elements APIs or Software Development Kit (SDK) to build a new prototype multi-sensor analysis for a new use case you’ve been exploring, and then finish up the day in an internal meeting with the product team advocating for a new feature request from a customer. 

 

Federal Solutions Engineer (Geospatial Analytics)

Location: Arlington, VA (preferred) or US-remote (CONUS) • Travel: ~50% (CONUS; occasional OCONUS) • Clearance: Active Secret (or ability to obtain); TS/SCI a plus • Work auth: U.S. person (export-control)

What You’ll Do

• Be a key face of Privateer for customers across the Federal space, conducting on-site visits and technical exchanges to discover pain points and understand and support customers’ needs
• Build and deliver compelling demos of Privateer’s Elements all domain awareness platform using a strong understanding of both business needs and technology capabilities
• Onboard new users to Elements and conduct new user training sessions 
• Own the end-to-end execution of solution engineering deliverables for our most important customers, using the Elements UI or APIs and SDK
• Collaborate effectively across Program, Product, and Growth teams to ensure alignment and to support market expansion opportunities
• Articulate mission needs and objectives to product development and engineering
• Through creative solutions, drive widespread user adoption of Elements within our customer organizations
• Work with internal stakeholders to drive the strategy of our accounts—this could include assistance with technical volumes in proposals, demo creation for upselling and expansion opportunities
• Work closely within the Product team to ensure new solutions are effectively integrated into the product roadmap  

Qualifications

• Bachelor’s degree in STEM or data-heavy discipline such as economics, statistics, etc. 
• 3 to 5 years of experience 
• 1 or 2+ years of experience with programming languages: Python as a primary language and working with Jupyter notebooks to explore data or SDKs to build prototypes
• Experience building geospatial analytics solutions and GIS software such as QGIS or ESRI
• Ability to manage many simultaneous technical and functional responsibilities, and exercise strong interpersonal/communication skills as part of a diverse and growing team
• Strong research and data analysis skills, meticulousness, and attention to detail are required
• Strong verbal skills and a willingness to ask questions. Most of us picked up technical skills while on the job, which was the result of a willingness to learn and push beyond our comfort zones

 PREFERRED QUALIFICATIONS

• Experience with automated analyses and machine learning applied to satellite or aerial images or data, and/or large-scale feature data, is a plus
• Experience building impactful interactive maps with tools such as kepler.gl or deck.gl
• Experience with building dashboard analytics tools like CARTO or Tableau 
• Experience with satellite and EO visualization tools such as Google Earth Engine or Sentinel Hub