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Primer AI

NLP-focused AI data analytics platform

Senior Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USANo salary listedHybrid

About the Job

Requirements

  • 5–7+ years of experience in sales engineering, solutions architecture, or customer-facing technical roles, ideally selling enterprise software or AI solutions into the Intelligence Community.
  • Direct experience supporting Intelligence Community agencies and elements, such as CIA, NSA, DIA, NGA, NRO, ODNI, or military service intelligence components.
  • Strong understanding of intelligence missions and analytic workflows, including the intelligence cycle, all-source analysis, open-source intelligence, and how analysts collect, process, exploit, and disseminate information.
  • Experience with how the Intelligence Community buys technology, including acquisition pathways such as OTAs, SBIRs, and IDIQs; contract vehicles; budget and program cycles; and moving capabilities from pilot to enterprise adoption.
  • Ability to tie analytic and mission outcomes to technical solutions, and explain how AI improves analyst speed, scale, and confidence while respecting analytic tradecraft standards.
  • Ability to explain complex AI concepts to analysts, engineers, mission owners, and program leadership.
  • Hands-on experience with large language models and agentic AI, including multi-agent workflows, tool use, retrieval-augmented generation, and evaluating agent performance and reliability.
  • Solid grounding in natural language processing, including named-entity recognition, entity resolution, and clustering, especially on multilingual and unstructured intelligence data.
  • Experience with graph databases such as Neo4j and with building or using knowledge graphs to model entities, relationships, networks, and events.
  • Experience deploying into Intelligence Community environments, including classified networks (JWICS, SIPRNet), IC cloud environments (C2E), on-premises, and air-gapped systems.
  • Experience with Docker and Elastic.
  • Understanding of IC security and accreditation requirements, including ICD 503, Authority to Operate processes, FedRAMP, IL5/6, and FIPS.

Responsibilities

  • Enable customers to see the art of the possible by relating Primer’s technical capabilities to mission outcomes.
  • Represent the technical voice of the customer within the account team to develop strategies that enhance mission outcomes for customers.
  • Support the ideation and implementation of solutions and feature sets for customers while partnering with product and engineering to develop and deliver them.
  • Partner with product and engineering at Primer to identify and prioritize new features and algorithmic development based on customer engagement and feedback.
  • Work closely with Account Executives, Advisors, Partners, and Marketing to find, shape, and win opportunities across government.
  • Understand each prospect’s mission, operational challenges, workflows, and desired outcomes, then show how Primer’s solution applies directly to that mission.
  • Lead the technical side of the sales cycle, from early discovery through demos, prototypes, and proofs of concept.
  • Turn complex mission requirements into clear, compelling solutions that help customers see and experience Primer’s value before they buy.
  • Take in new technical concepts quickly and identify obstacles early so pursuits move forward and teams remain aligned and credible with government stakeholders.

Desired Qualifications

  • Active TS/SCI clearance; a Full-Scope or CI Polygraph is strongly preferred.
  • Bachelor’s or advanced degree in a technical field, or equivalent practical experience.
  • Prior service as an intelligence analyst, targeter, or technical officer within the Intelligence Community or military intelligence.

About the Company

Primer AI

NLP-focused AI data analytics platform

Primer AI provides AI and machine learning solutions with a focus on natural language processing to help organizations process massive amounts of data from sources such as social media and news, delivering real-time, comprehensive insights. Its products rely on large language models and proprietary technology to securely and quickly analyze enterprise-scale data, enabling faster and better decision-making. The company differentiates itself by serving high-profile clients in both the U.S. government and Fortune 100 companies and by offering scalable, efficient data analysis that integrates multiple data streams. Its goal is to enable clients to stay ahead of events and make informed decisions while maintaining a strong emphasis on employee welfare and ethical AI practices.

Company size
51-200
Company stage
Series D
Total funding
$240.1M
Headquarters
San Francisco, CA
Founded
2015

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