Field Service Representative (Bullpen)

ECS Tech Inc•Fairfax, VA

9h•Hybrid

About The Position

Everforth ECS is seeking a highly motivated Field Service Representative to support a portfolio of dynamic initiatives for a Department of War (DoW) customer, including GEOINT AI/ML innovation and integration, Gen AI and Large Language Model (LLM) integration, and User Interface (UI) support. The ideal candidate is a former Intelligence Analyst with 4-6 years of experience in analyzing and exploiting Full Motion Video and High-Altitude Static Imagery collected from Intelligence Surveillance Reconnaissance (ISR) platforms. Successful candidates may be asked to exploit and analyze Electro-Optical (EO), Synthetic Aperture Radar (SAR), Infra-Red (IR) imagery and/or video in support of government customers within PED environments. Candidates must be able to use critical thinking to pinpoint key details and communicate with mission partners effectively, assisting with program integration into intelligence mission environments. As a Bullpen member, the candidate will work very closely with the Training and Engagements Project Manager and will be expected to present curriculum to current and newly-hired Field Service Representatives (FSR). A successful candidate may be required to travel to both CONUS and OCONUS sites to conduct training exercises or to backfill the role of FSRs. The candidate is expected to conduct local and distance-based training initiatives and contribute to program development by following principles from the ADDIE and SAM instructional design models. Candidates are expected to have expert communication skills and experience delivering meaningful learning solutions. Successful candidates will also be expected to assist with training program evaluation using methodologies like the Kirkpatrick Model to assess and maximize continuous improvement.

Requirements

Active DOD TS/SCI with the ability to obtain a CI Poly
High School diploma with 4-6 years of related experience
Ability to travel up to 50% both CONUS and OCONUS
Excellent interpersonal and communications skills
Excellent analytical writing and briefing skills, with experience providing planned and ad hoc briefings and demonstrations for VIPs and/or distinguished visitors
Demonstrated instructional capabilities to include developing and implementing training plans
Proven instructional skills to include developing and preparing curriculum and conducting remote and/or classroom training events
Self-starter that can work independently, thrive and communicate clearly while working in a dynamic environment during high-tempo operations
Customer focused mentality in order to deliver disruptive technology in an operational environment

Nice To Haves

Related Bachelor’s degree, such as Industrial Education, Education, Intelligence Studies, IT, Science, Geography, Political Science, History, International Studies, etc., may count for up to four years of experience.

Responsibilities

Support a portfolio of dynamic initiatives for a Department of War (DoW) customer, including GEOINT AI/ML innovation and integration, Gen AI and Large Language Model (LLM) integration, and User Interface (UI) support.
Analyze and exploit Full Motion Video and High-Altitude Static Imagery collected from Intelligence Surveillance Reconnaissance (ISR) platforms.
Exploit and analyze Electro-Optical (EO), Synthetic Aperture Radar (SAR), Infra-Red (IR) imagery and/or video in support of government customers within PED environments.
Use critical thinking to pinpoint key details and communicate with mission partners effectively.
Assist with program integration into intelligence mission environments.
Present curriculum to current and newly-hired Field Service Representatives (FSR).
Travel to both CONUS and OCONUS sites to conduct training exercises or to backfill the role of FSRs.
Conduct local and distance-based training initiatives.
Contribute to program development by following principles from the ADDIE and SAM instructional design models.
Deliver meaningful learning solutions.
Assist with training program evaluation using methodologies like the Kirkpatrick Model to assess and maximize continuous improvement.